ACL Wiki - User contributions [en]

Employment opportunities, postdoctoral positions, summer jobs

2016-06-17T14:30:30Z

Lspecia:

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== Research Associate/Fellow in Machine Learning, University of Sheffield, UK ==
* Employer: [http://www.sheffield.ac.uk/ University of Sheffield], UK
* Title: Research Associate/Fellow
* Specialty: ML
* Location: Sheffield
* Deadline: July 18, 2016
* Date posted: June 17, 2016
* Contact: [mailto:l.specia@sheffield.ac.uk Prof. Lucia Specia]

We have an opening for a 3-year position of Research Associate or Research Fellow in Machine Learning with applications to Machine Translation and Multimodal Language Processing. This position is funded by the ERC MultiMT project: Multi-modal Context Modelling for Machine Translation, led by Prof. Lucia Specia (www.dcs.shef.ac.uk/~lucia) at the University of Sheffield.

This is a highly interdisciplinary project involving Natural Language Processing, Computer Vision and Machine Learning. Its goal is to devise methods and algorithms to exploit global multi-modal information for context modelling in Machine Translation. The post holder will be expected to investigate new ways to acquire multilingual multi-modal representations, and new machine learning and inference algorithms that can learn from these rich context models to generate high quality translations. In addition, if appointed as Research Fellow, the post holder will be expected to make significant contributions to multi-modal language processing in general, drawing from their experience in Computer Vision and Natural Language Processing.

This is an opportunity to work in a well-connected international team with world-leading reputation in the Natural Language Processing (NLP) research group at the University of Sheffield. The NLP group is well known internationally for its research, and is one of the largest research groups in the area in Europe.

This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):

* PhD (or equivalent work experience) in Computer Science, Statistics, Mathematics or related areas
* Significant experience and track record in Machine Learning (RA and RF)
* Strong publication record commensurate with career stage (RA and RF)
* Experience and strong track record in Computer Vision (desirable for RA, required for RF)
* Experience and strong track record in Natural Language Processing (desirable for both RA and RF)
* Strong programming experience, particularly in Python or C++. (RA and RF)

This post is fixed-term with a start date from August 2016 (or soon after) and duration of ''3 years'' with possibility of extension to ''5 years''.

'''Salary range''': £28,847 to £46,414 per annum.

For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk

For more information about the post and for '''applications''': http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018

== Doctoral Researcher at UKP/KRITIS, TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Doctoral researcher
* Specialty: NLP
* Location: Darmstadt
* Deadline: July 10, 2016
* Date posted: June 10, 2016
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]

KRITIS ("Kritische Infrastrukturen: Konstruktion, Funktionskrisen und Schutz in Städten"), a new interdisciplinary research training group at Technsiche Universität Darmstadt and funded through the German Research Foundation, is currently seeking a '''Doctoral Researcher''' to start on 1 October 2016.

KRITIS researches systems for technical supply and disposal, and for communication and transport, which have become the central nervous system of modern cities. Their disruption can trigger dramatic crises. Modern city infrastructures are increasingly vulnerable not only to external threats (natural disasters, terrorist attacks, and cyber attacks) but also due to their inherent complexity and interdependence. Our aim is to understand and describe these complex systems in their spatial and temporal contexts. This is done in three main research areas:

# We want to ensure that technical infrastructures are constructed with the term "critical" in mind. We therefore ask what technical-functional needs, and political and social considerations, are relevant, and how these vary according to the systems' historical and spacial context.
# We assume that the complex spatial and temporal arrangements become particularly visible during infrastructural-functional crises. We therefore investigate failures of urban infrastructures, including the conditions contributing to their vulnerability or resilience.
# Finally, we ask how we can best organize protection against or preparation for infrastructural-functional crises (so-called "prevention and preparedness").

Research in the training group takes an interdisciplinary approach, with cooperation among the following specialities: space and infrastructure planning, modern and contemporary history, medieval history, philosophy of technology, comparative analysis of political systems, ubiquitous knowledge processing, urban design and planning, rail systems, and computer science for architecture and construction.

In this area, the discipline of ubiquitous knowledge processing (Prof. Iryna Gurevych) is concerned with the interactions between urban infrastructure (e.g., transport, telecommunications), communication in social media, and the relevant spatial and temporal analysis methods from the perspective of adaptive information and text processing. This will be of particular interest to doctoral candidates in the fields of real-time text analysis which can be applied to the early detection of crises, to public opinion-making, or to crisis management through automated evaluation of (online) content such as Twitter.

Possible dissertation topics include:
* Social-spatial differences of criticality: location- and class-specific text-analytic mining of argumentation on urban infrastructure in social media
* Mining of arguments on urban infrastructure in social media for cascading reactions (i.e., spatio-temporal spread of social media responses to the collapse of urban infrastructure)
* Early recognition of vulnerability: Real-time monitoring of information on hazards to urban infrastructure in social media
* User expectations on the speed of resolution of infrastructural failures – comparison and analysis of tweets across national boundaries

For discussion or advice on further possible research topics and organizational issues, please contact Prof. Iryna Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].

'''Requirements:''' The successful applicants should produce a doctoral dissertation related to one or more of the above-noted research priorities. This dissertation should be completed within three years and submitted to one of the departments of Technische Universität Darmstadt. Further information on KRITIS's scientific program and its participating professors will be available soon on the following website: [http://www.kritis.tu-darmstadt.de http://www.kritis.tu-darmstadt.de]

It is expected that all members of the research training group will be intensively engaged in interdisciplinary cooperation leading to scholarly publications and lectures. To this end, regular participation in seminars, symposia, workshops, etc. is required, which necessitates the doctoral candidates being domiciled in the Rhine-Main area.

'''Working environment and conditions:''' KRITIS offers an excellent research infrastructure for doctoral students who wish to carry out their own research project within an innovative and internationally networked program. The members of the group work in shared offices under the support and patronage of participating professors. Among the special services include the possibility of a financed stay abroad in one of four internationally renowned partner universities. We also work with various partners in the private and public sector (companies, government offices, and other organizations) at which candidates can complete internships.

Salaries for doctoral candidates depend on qualifications and experience, and will be in line with the collective agreement for employees at TU Darmstadt (TV-TU Darmstadt). The positions are limited to three years and include, depending on the field, 65% to 100% (full-time) employment.

'''Your application:''' TU Darmstadt strives to increase its number of female employees, and as such particularly encourages women to apply. All other things being equal, applicants who have a degree of disability of at least 50% (or the equivalent) will receive preference. Please prepare your application in English or German, and compressed as a single file (up to 6 MB). Applications should be sent by e-mail to Prof. Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by '''10 July 2016'''. The application should include a CV listing language skills and overseas experience, scanned copies of academic credentials, and a sketch of up to five pages for a doctoral project.

We look forward to receiving your application!

== Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] and/or [http://www.uni-heidelberg.de/ Ruprecht-Karls-University Heidelberg], Germany
* Title: Doctoral researcher
* Specialty: NLP
* Location: Darmstadt and/or Heidelberg, Germany
* Deadline: June 30, 2016
* Date posted: June 6, 2016
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]

The Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling a position for three years, starting as soon as possible: '''Doctoral Researcher in Natural Language Processing'''

The position provides the opportunity to obtain a doctoral degree with an emphasis on the guiding theme D1: Multi-level models of information quality, under the leadership of Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt). A possible research focus of the position is an automatic claim checking with its applications in the domain of computational journalism. However, other suitable topics may be proposed as well. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are being developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There exists close interaction with end users who prepare textual documents in an online editorial office and therefore profit from the results of AIPHES.

Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler, Dr. Meyer), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann). Participants at the Ruprecht‑Karls‑University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.

AIPHES emphasizes close contact between students and their advisors, has regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and actively supports its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

'''Prerequisites'''

We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht‑Karls‑University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally.

Applications should include:

* a motivational letter explaining the applicant’s possible contribution to the guiding theme D1,
* a CV with information about the applicant’s scientific work,
* certifications of study and work experience,
* as well as a thesis or other publications in electronic form.

They should be submitted until June 30th, 2016 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].

== Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Full Professor
* Specialty: Real-Time Data Analytics, with interdisciplinary experience in NLP
* Location: Darmstadt, Germany
* Deadline: July 6, 2016
* Date posted: June 1, 2016
* Contact: [mailto:dekanat@informatik.tu-darmstadt.de dekanat@informatik.tu-darmstadt.de] (for applications); [mailto:gurevych@ukp.informatik.tu-darmstadt.de Iryna Gurevych] (for further information)

The Department of Computer Science at Technische Universität Darmstadt invites applications for the position of '''Full Professor (W3) for Real-Time Data Analytics''' to be appointed as soon as possible.

We are seeking an outstanding researcher to establish the Department’s new area of real-time data analytics through research and teaching. The main focus of the professorship will be on excellent, method-oriented research, with close links to systems and applications. It is also expected that the successful candidate plays a formative role in cross-department and interdisciplinary research activities; the bridge to engineering departments of the university, in particular to the department of mechanical engineering, is particularly important in this respect.

Relevant topics include real-time data analytics on dynamic data streams of various types (including sensor data, text, and images), adaptive information processing and integration, and interactive machine learning. Further topics of research include data analysis and its applications in the mining of data and data streams of heterogeneous nature, quality, and quantity and in the support of decision-making processes, decision management, and the creation of self-organizing systems. Example application areas include automotive engineering, transport and logistics, and cognitive information processing for information validation on the Web.

We expect applicants to have interdisciplinary experience in the use of data analysis methods in cooperation with scientists from other fields as well as with industrial partners. The professorship is intended to strengthen those profile areas of TU Darmstadt in which real-time requirements and interactivity play a central role, such as the Internet and digitization and their associated research fields such as data science, Industry 4.0, autonomous driving, smart transport and energy networks, smart buildings, but also '''natural language processing''', cognitive science, and cybersecurity.

In addition to an outstanding academic CV, applicants must demonstrate a strong commitment to teaching computer science (incl. foundational courses) at the Bachelor’s and Master’s levels. A willingness to participate in academic self-administration is also expected.

Technische Universität Darmstadt is an autonomous university with a wide-ranging excellence in research, an interdisciplinary profile, and a strong focus on engineering as well as on information and communication technologies. Our Department is one of the leading national Computer Science departments and regularly ranked in the top group in national rankings.

Employment will be on a non-tariff basis, with qualification-based compensation based on the German W-level salary. Applicants who are already professors classed as German civil servants (''Beamter'') can retain this status. Employment regulations from §§61 and 62 of the ''Hessisches Hochschulgesetz'' apply.

Technische Universität Darmstadt is committed to increase the proportion of female scientific staff and therefore particularly encourages women to apply. All other things being equal, we will give preference to candidates with a degree of disability of at least 50 (or the equivalent).

Applications, including all the usual supporting documents, should be submitted to the Dean of the Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, 64289 Darmstadt, Germany, e-mail dekanat@informatik.tu-darmstadt.de. Please quote '''reference No. 244'''.

For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de

==NLP Postdoctoral Researcher at UNSW, Australia==

* Employer: The University of New South Wales, Australia
* Title: Research Associate/Fellow
* Specialty: NLP, Knowledge Graph
* Location: Sydney, Australia
* Deadline: June 6th, 2016
* Date posted: May 14th, 2016
* Contact: Wei Wang (weiw@cse.unsw.edu.au)

'''POSITION DESCRIPTION'''

A postdoctoral position is available in School of Computer Science and
Engineering at the University of New South Wales, Australia. The successful
candidate will work with Dr. Wei Wang on utilizing Natural language processing
(NLP), data mining, and semantic web to develop novel algorithms, tools and
methods for constructing and maintaining domain-specific knowledge graphs from
vast amount of unstructured/semi-structured data sources. This position is
funded by Data to Decisions Cooperative Research Centre (D2D CRC), which was
established in 2014 with a grant of A$25 million from the Australian Government,
researchers and industry to provide the Big Data capability resulting in a safer
and more secure nation and a sustainable Big Data workforce for Australia.

'''POSITION REQUIREMENTS'''

Essential criteria:

* Proven ability to undertake research in a relevant research area (e.g. natural language processing, data mining, knowledge graph) at an international level, as evidenced by research output.
* Excellent programming skills (java or C/C++).
* A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, KDD, IJCAI, AAAI, ICML, NIPS, SIGMOD, VLDB) and journals.
* Proven ability to communicate specialist ideas clearly in English using written media.
* Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
* A PhD in Computer Science or closely related area, or equivalent experience. Candidates with pending degrees who will successfully defend their dissertations by August 1, 2016 will also be considered.

Desirable criteria:

* Knowledge of statistical natural language processing.
* Knowledge of knowledge graph construction and applications.
* Experience with analysing large text corpora using a high-performance computing environment.
* Experience with python/R

'''SALARY RANGE AND CONTRACT LENGTH'''

* Research Associate: A$86,438 - A$92,453 per year (plus employer superannuation)
* Research Fellow: A$97,090 - A$114,454 per year (plus employer superannuation)

This is a fixed term position of one year with further renewal up to January 2019, subject to funding.

'''ENVIRONMENT'''

The School of Computer Science and Engineering in UNSW, located in Sydney, is
one of the largest and leading computing schools in Australia. It offers both
undergraduate and postgraduate programs in Software Engineering, Computer
Engineering, Computer Science and Bioinformatics, as well as a number of
combined degrees with other disciplines. It attracts excellent students who have
an outstanding record in international competitions (such as Robocup).

'''APPLICATION'''

Please send a statement of interest, an academic CV (in pdf format) to Wei Wang
(weiw@cse.unsw.edu.au) with the subject line starting with "[CRCPostdoc]". For
informal queries, please send an email to weiw@cse.unsw.edu.au.

==Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science==

* Employer: University of Pennsylvania
* Title: Postdoctoral Researcher
* Specialty: NLP
* Location: Philadelphia, PA
* Deadline: May 15th, 2016
* Date posted: April 26th, 2016
* Contact: Professor Lyle Ungar: ungar@cis.upenn.edu

'''Summary'''

We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression.
The primary responsibility will, of course, be producing top-quality published research in areas of interest to you and the WWBP team. You will be expected to lead multiple peer-reviewed publications each year and to support (as secondary author and technical expert) many more publications. As part of that latter process, we would like you to serve as the equivalent of a “Chief Technology Officer” of the WWBP, providing technical oversight and mentoring to the programmers and data scientists who build and maintain our software and hardware infrastructure, and who do the vast bulk of the data collection and analysis for the WWBP.

The ideal candidate will have research experience in computational linguistics and applied machine learning. They will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwp.org for example publications.

Approximate Start Date: Summer 2016

'''How to Apply'''

Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.

==Research Scientist, Natural Language Processing==

* Employer: EMR.AI Inc.
* Title: Research Scientist
* Specialty: NLP
* Location: San Francisco, CA
* Deadline: May 20th, 2016
* Date posted: April 21th, 2016
* Contact: David Suendermann-Oeft ([mailto:david@emr.ai david@emr.ai])

Headquartered in San Francisco, CA, EMR.AI Inc. is a leading provider of AI solutions to the medical sector. EMR.AI transforms unstructured information, in form of written, spoken, or typed reports, clinical test results, and radiographs into international standard codes saved in common EMR systems. The wealth of discrete medical data provided through this transformation in conjunction with EMR.AI's suite of medical analytics solutions enables stakeholders, practitioners, researchers, health providers, and policy makers to obtain a comprehensive picture of the available medical data in their organization.

'''Summary'''

EMR.AI Research & Development has openings for Research Scientists in the field of Natural Language Processing in our Downtown San Francisco offices. Scientists will work on projects spanning a variety of tasks including the semantic interpretation of written and spoken medical reports, the design of language models for a variety of NLP tasks and speech recognition, the summarization of written and spoken language in the medical domain, the incorporation of lexica, ontologies, relational databases, and other sources of structured and unstructured knowledge sources into EMR.AI’s medical NLP tool set, and others.

This is a unique opportunity to be part of a cutting-edge R&D team in the epicenter of the world’s AI tech industry with true impact on medical research.

'''Responsibilities'''

* Process huge corpora of medical textual documents to perform syntactic and semantic analyses and train, tune, and test probabilistic and other data-driven models, using both existing tool benches, proprietary and open-source, as well as self-developed algorithms and techniques.
* Produce high-quality programs and scripts to embed scientific algorithms into effective prototypes and demos to be shared with EMR.AI’s leadership team, its customers, partners, and vendors.
* Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.
* Work closely with EMR.AI’s speech processing team and its software engineering division to produce innovative and effective solutions for a range of AI products and services in the medical domain.
* Represent the R&D division in communications with EMR.AI’s leadership team, its customers, partners, and vendors at meetings, conventions, and other venues as well as in written statements.

'''Skills'''

PhD in computer science, computational linguistics, electrical engineering, or a related field. Experience in the state of the art of NLP and its standard tools is required. Candidates must be very skilled in programming and must have a proven scientific track record. They must be excellent team players, including with distributed teams, and strong in oral and written English communication. Knowledge of the US medical sector is desirable, so are experience with start-ups and strong scientific connections throughout the Bay Area and beyond.

'''Benefits'''

EMR.AI offers competitive salaries, an excellent benefit package, and a stimulating work environment in the heart of San Francisco with manifold local, domestic, and international commercial and academic partnerships.

'''How to Apply'''

Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]

'''Contact'''

EMR.AI Inc.

90 New Montgomery St

San Francisco, CA 94105, USA

phone: +1-415-200-8535

e-mail: [mailto:info@emr.ai info@emr.ai]

www: [http://emr.ai http://emr.ai]

==Research Scientist on Natural Language Processing==

* Employer: IBM Research Ireland
* Title: Research Scientist
* Specialty: NLP, Machine Learning
* Location: Dublin
* Deadline: May 5th, 2016
* Date posted: April 11th, 2016
* Contact: [https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26059&siteid=5016&AReq=36957BR link to application page]

Ireland is accepting applications for full-time researchers in the area of natural language processing. The ideal candidate will have a PhD degree in computational linguistics or in computer science with a specialisation in Natural Language Processing (NLP). Prior experience in the area of text analytics with information extraction, information retrieval and machine learning are highly desirable, and experience with corpus linguistics or natural language understanding are a plus. Strong programming skills in Java are required.

The successful research candidate must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents.
As a researcher you will be expected to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.

==Postdoc Researcher on Vision and Language==

* Employer: University of Liverpool
* Title: Postdoc
* Specialty: Computer Vision with an interest in human vision/language behaviour
* Location: Liverpool UK
* Deadline: April 20th, 2016
* Date posted: March 28, 2016
* Contact: [https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/r-590571/ link to application page]

Applications are invited for a Postdoctoral Research associate position to study the relationship between visual/spatial representations and language. Language is often used to describe the visual world and this is done by labelling objects in the world with various categories such as roles (e.g., agent, goal). There is now a large infant social cognition literature which shows how categories like agents and goals may be identified using simple visual heuristics. In this post, we will strengthen these links by experimentally manipulating visual cues to see how they influence language choices in adults and children. In addition to the experimental study of these links, we will also develop computational models that use computer vision techniques to track the interaction of objects in videos and link these visual codes to the descriptions of the actions. We are most interested in people with a computational background who have an interest in human vision/language processing.

This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the ESRC International Centre for Language and Communicative Development (LUCID, http://www.lucid.ac.uk/), a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster. You should have (or be about to obtain) a PhD in the field related to Computer Science, Psychology, Cognitive Science, or related disciple. The post is available for 3 years.

==Postdoc Positions at Johns Hopkins University==

* Employer: Johns Hopkins University
* Title: Postdoc
* Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine
* Location: Baltimore, MD
* Deadline: March 31, 2016
* Date posted: March 1, 2016
* Contact: [http://www.clsp.jhu.edu/employment-opportunities/ http://www.clsp.jhu.edu/employment-opportunities/]

The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

The center has a number of postdoctoral positions available for the coming year. Possible research topics include:
* Trend Detection in Social Media
* Broadly Multilingual Learning of Morphology
* Stochastic approximation algorithms for subspace and multi-view representation learning
* Analysis of large-scale time series data in healthcare

Host faculty include:
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria

==Associate/Full Professor in Computational Linguistics at Stony Brook University==
* Employer: Department of Linguistics, Stony Brook University
* Title: Associate/Full Professor
* Specialty: Computational Linguistics
* Location: New York, USA
* Deadline: <strike>March 14, 2016</strike> May 1, 2016
* Date posted: February 17, 2015
* LinguistList Announcement: [http://linguistlist.org/issues/27/27-861.html http://linguistlist.org/issues/27/27-861.html]
* Contact: Lori Repetti [mailto:lori.repetti@stonybrook.edu lori.repetti@stonybrook.edu]

'''Job Description'''

The Department of Linguistics at Stony Brook University invites applications for a tenured appointment in computational linguistics, beginning Fall 2016 or Fall 2017. This is a senior appointment at the Associate or Full Professor level.

The successful candidate will have a PhD (preferably in Linguistics or Computer Science), an outstanding research profile in Computational Linguistics (ideally in areas that complement existing departmental strengths), a strong track record in grant acquisition, and teaching and advising experience at the graduate and/or undergraduate levels.

They will also be expected to

* Contribute to the ongoing development of the Department's degree programs in linguistics and computational linguistics,
* Initiate new collaborations and expand existing ones with other computational research groups on campus, in particular in the Department of Computer Science and the Institute for Advanced Computational Science,
* Strengthen the department's connections with the local IT industry.

Salary will be commensurate with education and experience.

'''Application'''

Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]

==Research Scientist at the Allen Institute for Artificial Intelligence==

* Employer: Allen Institute for Artificial Intelligence (AI2)
* Title: Research Scientist
* Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
* Location: Seattle, WA
* Deadline: N/A, we are hiring throughout 2016
* Date posted: 02/09/2016
* Contact information: ai2-info@allenai.org
* Website: http://allenai.org/jobs.html

'''Job Description'''

The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.

'''Position Summary'''

AI2 currently has projects in the following areas:

* Language and Vision
* Information extraction and semantic parsing
* Question answering
* Language and reasoning
* Machine learning and theory formation
* Semantic search
* Natural language processing
* Diagram understanding
* Visual knowledge extraction and visual reasoning

And more….

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

'''Applicant'''

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.

'''Why AI2'''

In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:

* We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;
* We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;
* We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;
* We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;
* We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;
* We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!

'''Application Process'''

Visit our website for more information: http://allenai.org/jobs.html

==Software Engineer - Machine Learning / NLP (Chinese) at SYSTRAN==

* Employer: SYSTRAN
* Title: Software Engineer
* Topics: Machine Learning, Natural Language Processing, Machine Translation
* Location: San Diego
* Deadline: Open until filled
* Date Posted: January 29, 2016
* Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na

SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.

The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.

Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.

'''Key Qualifications'''
* Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology
* Good algorithmic knowledge of machine learning
* Experience writing and debugging software
* Strong communications skills
* Ability to work well as part of a team
* Fluent in English.
* Fluent in Chinese is a plus

'''Education and Experience'''
* MS or Ph D in Computational Linguistics / Computer Science or relevant field.
* 2+ years work experience preferred

'''Benefits'''
* Successful candidates will be offered a competitive salary based on their qualifications and experience.

==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==

* Employer: University of Dundee
* Title: Lecturer/Senior Lecturer/Reader
* Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence
* Location: Dundee, UK
* Deadline: 27 February 2016
* Date Posted: 12 January 2016
* Contact: Prof. Chris Reed (see http://arg.tech/lecturer)

£34,576 to £55,389 Full Time, Permanent

The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.

For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.

'''Summary of Job Purpose and Principal Duties'''

The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each
group can be found in the Further Particulars.

The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal
Fellowships.

Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.

'''Job Summary'''

The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:

* Contribute to the ongoing research in one of the three research groups described above.
* Contribute to the generation of external research funding.
* Publish in high quality research journals and major international conferences.
* Teach at undergraduate and post-graduate level.
* Supervise students at all levels (honours and MSc projects, PhD).
* Undertake administrative duties.

'''Application Requirements'''

In addition to the online form, applicants must include with their application:

* Cover letter outlining fit to role.
* Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
* Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.

==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory==
* Employer: US Naval Research Laboratory
* Title: Postdoctoral Research Fellow
* Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
* Location: Washington, DC
* Deadline: Open until filled
* Date Posted: January 20, 2016
* Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)

'''Research focus''': The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.

'''Supervisor''': Sunny Khemlani, PhD

'''Key qualifications''': A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.

'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.

'''Program and compensation''': The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.

'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.

==Internship positions available at Juji, Inc.==
* Employer: Juji, Inc.
* Title: Intern
* Location: Saratoga, CA
* Deadline: open until all the positions are filled
* Date Posted: January 14, 2016

'''Description''':
Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs.

We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.

We have multiple positions on two main tracks:

* Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.

* Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.

'''Qualifications'''
Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus.

'''To apply''': Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body.

==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==
* Employer: Brigham and Women's Hospital / Harvard Medical School
* Title: Postdoctoral Research Fellow
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
* Location: Boston, MA
* Deadline: Open until filled
* Date Posted: January 8, 2016
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)

'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.

'''Supervisor''': Alexander Turchin, MD, MS, FACMI

'''Required skills''': experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.

'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.

'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.

'''Available''': Immediately.

'''Compensation''': according to NIH (NRSA) stipend levels.

'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

Employment opportunities, postdoctoral positions, summer jobs

2016-06-17T14:29:15Z

Lspecia:

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== Research Associate/Fellow in Machine Learning, University of Sheffield, UK ==
* Employer: [http://www.sheffield.ac.uk/ University of Sheffield], UK
* Title: Research Associate/Fellow
* Specialty: ML
* Location: Sheffield
* Deadline: July 18, 2016
* Date posted: June 17, 2016
* Contact: [mailto:l.specia@sheffield.ac.uk Prof. Lucia Specia]

We have an opening for a 3-year position of Research Associate or Research Fellow in Machine Learning with applications to Machine Translation and Multimodal Language Processing. This position is funded by the ERC MultiMT project: Multi-modal Context Modelling for Machine Translation, led by Prof. Lucia Specia (www.dcs.shef.ac.uk/~lucia) at the University of Sheffield.

This is a highly interdisciplinary project involving Natural Language Processing, Computer Vision and Machine Learning. Its goal is to devise methods and algorithms to exploit global multi-modal information for context modelling in Machine Translation. The post holder will be expected to investigate new ways to acquire multilingual multi-modal representations, and new machine learning and inference algorithms that can learn from these rich context models to generate high quality translations. In addition, if appointed as Research Fellow, the post holder will be expected to make significant contributions to multi-modal language processing in general, drawing from their experience in Computer Vision and Natural Language Processing.

This is an opportunity to work in a well-connected international team with world-leading reputation in the Natural Language Processing (NLP) research group at the University of Sheffield. The NLP group is well known internationally for its research, and is one of the largest research groups in the area in Europe.

This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):

* PhD (or equivalent work experience) in Computer Science, Statistics, Mathematics or related areas
* Significant experience and track record in Machine Learning (RA and RF)
* Strong publication record commensurate with career stage (RA and RF)
* Experience and strong track record in Computer Vision (desirable for RA, required for RF)
* Experience and strong track record in Natural Language Processing (desirable for both RA and RF)
* Strong programming experience, particularly in Python or C++. (RA and RF)

This post is fixed-term with a start date from August 2016 (or soon after) and duration of 3 years with possibility of extension to 5 years.

Salary range: £28,847 to £46,414 per annum.

For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk

For more information about the post and for applications: http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018

== Doctoral Researcher at UKP/KRITIS, TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Doctoral researcher
* Specialty: NLP
* Location: Darmstadt
* Deadline: July 10, 2016
* Date posted: June 10, 2016
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]

KRITIS ("Kritische Infrastrukturen: Konstruktion, Funktionskrisen und Schutz in Städten"), a new interdisciplinary research training group at Technsiche Universität Darmstadt and funded through the German Research Foundation, is currently seeking a '''Doctoral Researcher''' to start on 1 October 2016.

KRITIS researches systems for technical supply and disposal, and for communication and transport, which have become the central nervous system of modern cities. Their disruption can trigger dramatic crises. Modern city infrastructures are increasingly vulnerable not only to external threats (natural disasters, terrorist attacks, and cyber attacks) but also due to their inherent complexity and interdependence. Our aim is to understand and describe these complex systems in their spatial and temporal contexts. This is done in three main research areas:

# We want to ensure that technical infrastructures are constructed with the term "critical" in mind. We therefore ask what technical-functional needs, and political and social considerations, are relevant, and how these vary according to the systems' historical and spacial context.
# We assume that the complex spatial and temporal arrangements become particularly visible during infrastructural-functional crises. We therefore investigate failures of urban infrastructures, including the conditions contributing to their vulnerability or resilience.
# Finally, we ask how we can best organize protection against or preparation for infrastructural-functional crises (so-called "prevention and preparedness").

Research in the training group takes an interdisciplinary approach, with cooperation among the following specialities: space and infrastructure planning, modern and contemporary history, medieval history, philosophy of technology, comparative analysis of political systems, ubiquitous knowledge processing, urban design and planning, rail systems, and computer science for architecture and construction.

In this area, the discipline of ubiquitous knowledge processing (Prof. Iryna Gurevych) is concerned with the interactions between urban infrastructure (e.g., transport, telecommunications), communication in social media, and the relevant spatial and temporal analysis methods from the perspective of adaptive information and text processing. This will be of particular interest to doctoral candidates in the fields of real-time text analysis which can be applied to the early detection of crises, to public opinion-making, or to crisis management through automated evaluation of (online) content such as Twitter.

Possible dissertation topics include:
* Social-spatial differences of criticality: location- and class-specific text-analytic mining of argumentation on urban infrastructure in social media
* Mining of arguments on urban infrastructure in social media for cascading reactions (i.e., spatio-temporal spread of social media responses to the collapse of urban infrastructure)
* Early recognition of vulnerability: Real-time monitoring of information on hazards to urban infrastructure in social media
* User expectations on the speed of resolution of infrastructural failures – comparison and analysis of tweets across national boundaries

For discussion or advice on further possible research topics and organizational issues, please contact Prof. Iryna Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].

'''Requirements:''' The successful applicants should produce a doctoral dissertation related to one or more of the above-noted research priorities. This dissertation should be completed within three years and submitted to one of the departments of Technische Universität Darmstadt. Further information on KRITIS's scientific program and its participating professors will be available soon on the following website: [http://www.kritis.tu-darmstadt.de http://www.kritis.tu-darmstadt.de]

It is expected that all members of the research training group will be intensively engaged in interdisciplinary cooperation leading to scholarly publications and lectures. To this end, regular participation in seminars, symposia, workshops, etc. is required, which necessitates the doctoral candidates being domiciled in the Rhine-Main area.

'''Working environment and conditions:''' KRITIS offers an excellent research infrastructure for doctoral students who wish to carry out their own research project within an innovative and internationally networked program. The members of the group work in shared offices under the support and patronage of participating professors. Among the special services include the possibility of a financed stay abroad in one of four internationally renowned partner universities. We also work with various partners in the private and public sector (companies, government offices, and other organizations) at which candidates can complete internships.

Salaries for doctoral candidates depend on qualifications and experience, and will be in line with the collective agreement for employees at TU Darmstadt (TV-TU Darmstadt). The positions are limited to three years and include, depending on the field, 65% to 100% (full-time) employment.

'''Your application:''' TU Darmstadt strives to increase its number of female employees, and as such particularly encourages women to apply. All other things being equal, applicants who have a degree of disability of at least 50% (or the equivalent) will receive preference. Please prepare your application in English or German, and compressed as a single file (up to 6 MB). Applications should be sent by e-mail to Prof. Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by '''10 July 2016'''. The application should include a CV listing language skills and overseas experience, scanned copies of academic credentials, and a sketch of up to five pages for a doctoral project.

We look forward to receiving your application!

== Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] and/or [http://www.uni-heidelberg.de/ Ruprecht-Karls-University Heidelberg], Germany
* Title: Doctoral researcher
* Specialty: NLP
* Location: Darmstadt and/or Heidelberg, Germany
* Deadline: June 30, 2016
* Date posted: June 6, 2016
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]

The Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling a position for three years, starting as soon as possible: '''Doctoral Researcher in Natural Language Processing'''

The position provides the opportunity to obtain a doctoral degree with an emphasis on the guiding theme D1: Multi-level models of information quality, under the leadership of Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt). A possible research focus of the position is an automatic claim checking with its applications in the domain of computational journalism. However, other suitable topics may be proposed as well. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are being developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There exists close interaction with end users who prepare textual documents in an online editorial office and therefore profit from the results of AIPHES.

Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler, Dr. Meyer), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann). Participants at the Ruprecht‑Karls‑University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.

AIPHES emphasizes close contact between students and their advisors, has regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and actively supports its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

'''Prerequisites'''

We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht‑Karls‑University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally.

Applications should include:

* a motivational letter explaining the applicant’s possible contribution to the guiding theme D1,
* a CV with information about the applicant’s scientific work,
* certifications of study and work experience,
* as well as a thesis or other publications in electronic form.

They should be submitted until June 30th, 2016 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].

== Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Full Professor
* Specialty: Real-Time Data Analytics, with interdisciplinary experience in NLP
* Location: Darmstadt, Germany
* Deadline: July 6, 2016
* Date posted: June 1, 2016
* Contact: [mailto:dekanat@informatik.tu-darmstadt.de dekanat@informatik.tu-darmstadt.de] (for applications); [mailto:gurevych@ukp.informatik.tu-darmstadt.de Iryna Gurevych] (for further information)

The Department of Computer Science at Technische Universität Darmstadt invites applications for the position of '''Full Professor (W3) for Real-Time Data Analytics''' to be appointed as soon as possible.

We are seeking an outstanding researcher to establish the Department’s new area of real-time data analytics through research and teaching. The main focus of the professorship will be on excellent, method-oriented research, with close links to systems and applications. It is also expected that the successful candidate plays a formative role in cross-department and interdisciplinary research activities; the bridge to engineering departments of the university, in particular to the department of mechanical engineering, is particularly important in this respect.

Relevant topics include real-time data analytics on dynamic data streams of various types (including sensor data, text, and images), adaptive information processing and integration, and interactive machine learning. Further topics of research include data analysis and its applications in the mining of data and data streams of heterogeneous nature, quality, and quantity and in the support of decision-making processes, decision management, and the creation of self-organizing systems. Example application areas include automotive engineering, transport and logistics, and cognitive information processing for information validation on the Web.

We expect applicants to have interdisciplinary experience in the use of data analysis methods in cooperation with scientists from other fields as well as with industrial partners. The professorship is intended to strengthen those profile areas of TU Darmstadt in which real-time requirements and interactivity play a central role, such as the Internet and digitization and their associated research fields such as data science, Industry 4.0, autonomous driving, smart transport and energy networks, smart buildings, but also '''natural language processing''', cognitive science, and cybersecurity.

In addition to an outstanding academic CV, applicants must demonstrate a strong commitment to teaching computer science (incl. foundational courses) at the Bachelor’s and Master’s levels. A willingness to participate in academic self-administration is also expected.

Technische Universität Darmstadt is an autonomous university with a wide-ranging excellence in research, an interdisciplinary profile, and a strong focus on engineering as well as on information and communication technologies. Our Department is one of the leading national Computer Science departments and regularly ranked in the top group in national rankings.

Employment will be on a non-tariff basis, with qualification-based compensation based on the German W-level salary. Applicants who are already professors classed as German civil servants (''Beamter'') can retain this status. Employment regulations from §§61 and 62 of the ''Hessisches Hochschulgesetz'' apply.

Technische Universität Darmstadt is committed to increase the proportion of female scientific staff and therefore particularly encourages women to apply. All other things being equal, we will give preference to candidates with a degree of disability of at least 50 (or the equivalent).

Applications, including all the usual supporting documents, should be submitted to the Dean of the Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, 64289 Darmstadt, Germany, e-mail dekanat@informatik.tu-darmstadt.de. Please quote '''reference No. 244'''.

For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de

==NLP Postdoctoral Researcher at UNSW, Australia==

* Employer: The University of New South Wales, Australia
* Title: Research Associate/Fellow
* Specialty: NLP, Knowledge Graph
* Location: Sydney, Australia
* Deadline: June 6th, 2016
* Date posted: May 14th, 2016
* Contact: Wei Wang (weiw@cse.unsw.edu.au)

'''POSITION DESCRIPTION'''

A postdoctoral position is available in School of Computer Science and
Engineering at the University of New South Wales, Australia. The successful
candidate will work with Dr. Wei Wang on utilizing Natural language processing
(NLP), data mining, and semantic web to develop novel algorithms, tools and
methods for constructing and maintaining domain-specific knowledge graphs from
vast amount of unstructured/semi-structured data sources. This position is
funded by Data to Decisions Cooperative Research Centre (D2D CRC), which was
established in 2014 with a grant of A$25 million from the Australian Government,
researchers and industry to provide the Big Data capability resulting in a safer
and more secure nation and a sustainable Big Data workforce for Australia.

'''POSITION REQUIREMENTS'''

Essential criteria:

* Proven ability to undertake research in a relevant research area (e.g. natural language processing, data mining, knowledge graph) at an international level, as evidenced by research output.
* Excellent programming skills (java or C/C++).
* A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, KDD, IJCAI, AAAI, ICML, NIPS, SIGMOD, VLDB) and journals.
* Proven ability to communicate specialist ideas clearly in English using written media.
* Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
* A PhD in Computer Science or closely related area, or equivalent experience. Candidates with pending degrees who will successfully defend their dissertations by August 1, 2016 will also be considered.

Desirable criteria:

* Knowledge of statistical natural language processing.
* Knowledge of knowledge graph construction and applications.
* Experience with analysing large text corpora using a high-performance computing environment.
* Experience with python/R

'''SALARY RANGE AND CONTRACT LENGTH'''

* Research Associate: A$86,438 - A$92,453 per year (plus employer superannuation)
* Research Fellow: A$97,090 - A$114,454 per year (plus employer superannuation)

This is a fixed term position of one year with further renewal up to January 2019, subject to funding.

'''ENVIRONMENT'''

The School of Computer Science and Engineering in UNSW, located in Sydney, is
one of the largest and leading computing schools in Australia. It offers both
undergraduate and postgraduate programs in Software Engineering, Computer
Engineering, Computer Science and Bioinformatics, as well as a number of
combined degrees with other disciplines. It attracts excellent students who have
an outstanding record in international competitions (such as Robocup).

'''APPLICATION'''

Please send a statement of interest, an academic CV (in pdf format) to Wei Wang
(weiw@cse.unsw.edu.au) with the subject line starting with "[CRCPostdoc]". For
informal queries, please send an email to weiw@cse.unsw.edu.au.

==Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science==

* Employer: University of Pennsylvania
* Title: Postdoctoral Researcher
* Specialty: NLP
* Location: Philadelphia, PA
* Deadline: May 15th, 2016
* Date posted: April 26th, 2016
* Contact: Professor Lyle Ungar: ungar@cis.upenn.edu

'''Summary'''

We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression.
The primary responsibility will, of course, be producing top-quality published research in areas of interest to you and the WWBP team. You will be expected to lead multiple peer-reviewed publications each year and to support (as secondary author and technical expert) many more publications. As part of that latter process, we would like you to serve as the equivalent of a “Chief Technology Officer” of the WWBP, providing technical oversight and mentoring to the programmers and data scientists who build and maintain our software and hardware infrastructure, and who do the vast bulk of the data collection and analysis for the WWBP.

The ideal candidate will have research experience in computational linguistics and applied machine learning. They will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwp.org for example publications.

Approximate Start Date: Summer 2016

'''How to Apply'''

Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.

==Research Scientist, Natural Language Processing==

* Employer: EMR.AI Inc.
* Title: Research Scientist
* Specialty: NLP
* Location: San Francisco, CA
* Deadline: May 20th, 2016
* Date posted: April 21th, 2016
* Contact: David Suendermann-Oeft ([mailto:david@emr.ai david@emr.ai])

Headquartered in San Francisco, CA, EMR.AI Inc. is a leading provider of AI solutions to the medical sector. EMR.AI transforms unstructured information, in form of written, spoken, or typed reports, clinical test results, and radiographs into international standard codes saved in common EMR systems. The wealth of discrete medical data provided through this transformation in conjunction with EMR.AI's suite of medical analytics solutions enables stakeholders, practitioners, researchers, health providers, and policy makers to obtain a comprehensive picture of the available medical data in their organization.

'''Summary'''

EMR.AI Research & Development has openings for Research Scientists in the field of Natural Language Processing in our Downtown San Francisco offices. Scientists will work on projects spanning a variety of tasks including the semantic interpretation of written and spoken medical reports, the design of language models for a variety of NLP tasks and speech recognition, the summarization of written and spoken language in the medical domain, the incorporation of lexica, ontologies, relational databases, and other sources of structured and unstructured knowledge sources into EMR.AI’s medical NLP tool set, and others.

This is a unique opportunity to be part of a cutting-edge R&D team in the epicenter of the world’s AI tech industry with true impact on medical research.

'''Responsibilities'''

* Process huge corpora of medical textual documents to perform syntactic and semantic analyses and train, tune, and test probabilistic and other data-driven models, using both existing tool benches, proprietary and open-source, as well as self-developed algorithms and techniques.
* Produce high-quality programs and scripts to embed scientific algorithms into effective prototypes and demos to be shared with EMR.AI’s leadership team, its customers, partners, and vendors.
* Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.
* Work closely with EMR.AI’s speech processing team and its software engineering division to produce innovative and effective solutions for a range of AI products and services in the medical domain.
* Represent the R&D division in communications with EMR.AI’s leadership team, its customers, partners, and vendors at meetings, conventions, and other venues as well as in written statements.

'''Skills'''

PhD in computer science, computational linguistics, electrical engineering, or a related field. Experience in the state of the art of NLP and its standard tools is required. Candidates must be very skilled in programming and must have a proven scientific track record. They must be excellent team players, including with distributed teams, and strong in oral and written English communication. Knowledge of the US medical sector is desirable, so are experience with start-ups and strong scientific connections throughout the Bay Area and beyond.

'''Benefits'''

EMR.AI offers competitive salaries, an excellent benefit package, and a stimulating work environment in the heart of San Francisco with manifold local, domestic, and international commercial and academic partnerships.

'''How to Apply'''

Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]

'''Contact'''

EMR.AI Inc.

90 New Montgomery St

San Francisco, CA 94105, USA

phone: +1-415-200-8535

e-mail: [mailto:info@emr.ai info@emr.ai]

www: [http://emr.ai http://emr.ai]

==Research Scientist on Natural Language Processing==

* Employer: IBM Research Ireland
* Title: Research Scientist
* Specialty: NLP, Machine Learning
* Location: Dublin
* Deadline: May 5th, 2016
* Date posted: April 11th, 2016
* Contact: [https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26059&siteid=5016&AReq=36957BR link to application page]

Ireland is accepting applications for full-time researchers in the area of natural language processing. The ideal candidate will have a PhD degree in computational linguistics or in computer science with a specialisation in Natural Language Processing (NLP). Prior experience in the area of text analytics with information extraction, information retrieval and machine learning are highly desirable, and experience with corpus linguistics or natural language understanding are a plus. Strong programming skills in Java are required.

The successful research candidate must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents.
As a researcher you will be expected to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.

==Postdoc Researcher on Vision and Language==

* Employer: University of Liverpool
* Title: Postdoc
* Specialty: Computer Vision with an interest in human vision/language behaviour
* Location: Liverpool UK
* Deadline: April 20th, 2016
* Date posted: March 28, 2016
* Contact: [https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/r-590571/ link to application page]

Applications are invited for a Postdoctoral Research associate position to study the relationship between visual/spatial representations and language. Language is often used to describe the visual world and this is done by labelling objects in the world with various categories such as roles (e.g., agent, goal). There is now a large infant social cognition literature which shows how categories like agents and goals may be identified using simple visual heuristics. In this post, we will strengthen these links by experimentally manipulating visual cues to see how they influence language choices in adults and children. In addition to the experimental study of these links, we will also develop computational models that use computer vision techniques to track the interaction of objects in videos and link these visual codes to the descriptions of the actions. We are most interested in people with a computational background who have an interest in human vision/language processing.

This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the ESRC International Centre for Language and Communicative Development (LUCID, http://www.lucid.ac.uk/), a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster. You should have (or be about to obtain) a PhD in the field related to Computer Science, Psychology, Cognitive Science, or related disciple. The post is available for 3 years.

==Postdoc Positions at Johns Hopkins University==

* Employer: Johns Hopkins University
* Title: Postdoc
* Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine
* Location: Baltimore, MD
* Deadline: March 31, 2016
* Date posted: March 1, 2016
* Contact: [http://www.clsp.jhu.edu/employment-opportunities/ http://www.clsp.jhu.edu/employment-opportunities/]

The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

The center has a number of postdoctoral positions available for the coming year. Possible research topics include:
* Trend Detection in Social Media
* Broadly Multilingual Learning of Morphology
* Stochastic approximation algorithms for subspace and multi-view representation learning
* Analysis of large-scale time series data in healthcare

Host faculty include:
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria

==Associate/Full Professor in Computational Linguistics at Stony Brook University==
* Employer: Department of Linguistics, Stony Brook University
* Title: Associate/Full Professor
* Specialty: Computational Linguistics
* Location: New York, USA
* Deadline: <strike>March 14, 2016</strike> May 1, 2016
* Date posted: February 17, 2015
* LinguistList Announcement: [http://linguistlist.org/issues/27/27-861.html http://linguistlist.org/issues/27/27-861.html]
* Contact: Lori Repetti [mailto:lori.repetti@stonybrook.edu lori.repetti@stonybrook.edu]

'''Job Description'''

The Department of Linguistics at Stony Brook University invites applications for a tenured appointment in computational linguistics, beginning Fall 2016 or Fall 2017. This is a senior appointment at the Associate or Full Professor level.

The successful candidate will have a PhD (preferably in Linguistics or Computer Science), an outstanding research profile in Computational Linguistics (ideally in areas that complement existing departmental strengths), a strong track record in grant acquisition, and teaching and advising experience at the graduate and/or undergraduate levels.

They will also be expected to

* Contribute to the ongoing development of the Department's degree programs in linguistics and computational linguistics,
* Initiate new collaborations and expand existing ones with other computational research groups on campus, in particular in the Department of Computer Science and the Institute for Advanced Computational Science,
* Strengthen the department's connections with the local IT industry.

Salary will be commensurate with education and experience.

'''Application'''

Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]

==Research Scientist at the Allen Institute for Artificial Intelligence==

* Employer: Allen Institute for Artificial Intelligence (AI2)
* Title: Research Scientist
* Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
* Location: Seattle, WA
* Deadline: N/A, we are hiring throughout 2016
* Date posted: 02/09/2016
* Contact information: ai2-info@allenai.org
* Website: http://allenai.org/jobs.html

'''Job Description'''

The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.

'''Position Summary'''

AI2 currently has projects in the following areas:

* Language and Vision
* Information extraction and semantic parsing
* Question answering
* Language and reasoning
* Machine learning and theory formation
* Semantic search
* Natural language processing
* Diagram understanding
* Visual knowledge extraction and visual reasoning

And more….

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

'''Applicant'''

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.

'''Why AI2'''

In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:

* We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;
* We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;
* We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;
* We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;
* We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;
* We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!

'''Application Process'''

Visit our website for more information: http://allenai.org/jobs.html

==Software Engineer - Machine Learning / NLP (Chinese) at SYSTRAN==

* Employer: SYSTRAN
* Title: Software Engineer
* Topics: Machine Learning, Natural Language Processing, Machine Translation
* Location: San Diego
* Deadline: Open until filled
* Date Posted: January 29, 2016
* Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na

SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.

The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.

Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.

'''Key Qualifications'''
* Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology
* Good algorithmic knowledge of machine learning
* Experience writing and debugging software
* Strong communications skills
* Ability to work well as part of a team
* Fluent in English.
* Fluent in Chinese is a plus

'''Education and Experience'''
* MS or Ph D in Computational Linguistics / Computer Science or relevant field.
* 2+ years work experience preferred

'''Benefits'''
* Successful candidates will be offered a competitive salary based on their qualifications and experience.

==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==

* Employer: University of Dundee
* Title: Lecturer/Senior Lecturer/Reader
* Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence
* Location: Dundee, UK
* Deadline: 27 February 2016
* Date Posted: 12 January 2016
* Contact: Prof. Chris Reed (see http://arg.tech/lecturer)

£34,576 to £55,389 Full Time, Permanent

The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.

For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.

'''Summary of Job Purpose and Principal Duties'''

The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each
group can be found in the Further Particulars.

The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal
Fellowships.

Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.

'''Job Summary'''

The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:

* Contribute to the ongoing research in one of the three research groups described above.
* Contribute to the generation of external research funding.
* Publish in high quality research journals and major international conferences.
* Teach at undergraduate and post-graduate level.
* Supervise students at all levels (honours and MSc projects, PhD).
* Undertake administrative duties.

'''Application Requirements'''

In addition to the online form, applicants must include with their application:

* Cover letter outlining fit to role.
* Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
* Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.

==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory==
* Employer: US Naval Research Laboratory
* Title: Postdoctoral Research Fellow
* Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
* Location: Washington, DC
* Deadline: Open until filled
* Date Posted: January 20, 2016
* Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)

'''Research focus''': The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.

'''Supervisor''': Sunny Khemlani, PhD

'''Key qualifications''': A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.

'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.

'''Program and compensation''': The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.

'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.

==Internship positions available at Juji, Inc.==
* Employer: Juji, Inc.
* Title: Intern
* Location: Saratoga, CA
* Deadline: open until all the positions are filled
* Date Posted: January 14, 2016

'''Description''':
Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs.

We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.

We have multiple positions on two main tracks:

* Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.

* Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.

'''Qualifications'''
Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus.

'''To apply''': Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body.

==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==
* Employer: Brigham and Women's Hospital / Harvard Medical School
* Title: Postdoctoral Research Fellow
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
* Location: Boston, MA
* Deadline: Open until filled
* Date Posted: January 8, 2016
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)

'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.

'''Supervisor''': Alexander Turchin, MD, MS, FACMI

'''Required skills''': experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.

'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.

'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.

'''Available''': Immediately.

'''Compensation''': according to NIH (NRSA) stipend levels.

'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

Employment opportunities, postdoctoral positions, summer jobs

2010-11-18T12:20:26Z

Lspecia:

* Please post your job ad below.
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''.
* '''Please remove your posting when the position is filled.'''
* Please include the following information:
** Employer
** Rank or Title
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
** Location
** Deadline
** Date Posted
** Contact email or link to website
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
* Archived postings:
** [[Employment opportunities posted 2009]]
** [[Employment opportunities posted 2008]]
** [[Employment opportunities posted 2007]]

== Research Fellow, NLP and MT for Arabic ==
** Employer: University of Wolverhampton, UK
** Rank or Title: Research Fellow
** Specialty: Research and Development
** Location: Wolverhampton, UK
** Deadline: 30/11/2010
** Date Posted: 18/11/2010
** Contact email or link to website: lspecia@gmail.com

The Research Group in Computational Linguistics (http://clg.wlv.ac.uk/), University of Wolverhampton, invites applications for a research fellowship in the area of Arabic Natural Language Processing for a fixed-term contract: 12 months. The candidate will be expected to carry out research in the topic of evaluation of Arabic-English machine translation. He/she will contribute to the collection of data, proposal, design and evaluation of quality estimation approaches. He/she may also contribute to the implementation of the proposed approaches, which will be performed by an experienced programmer.

A successful applicant must:
- Have a good honours degree or equivalent in Computational Linguistics, Artificial Intelligence, Linguistics, Computer Science/Engineering, Mathematics, Statistics, or related areas.
- Be a native or fluent speaker of Arabic or have sufficient knowledge of the language proved by previous research related to the language.
- Have experience in Computational Linguistics / Natural Language Processing, particularly the area of Machine Translation evaluation. A PhD in the field is ideal, but masters level or work experience are also acceptable.
- Be eligible to work in the UK, as the job requires an immediate start. Part-time applications from candidates currently studying in the UK will also be considered.

The starting date is early December 2010.

The application deadline is November 30, 2010.

Applications should be sent by e-mail to:

Dr. Lucia Specia
lspecia@gmail.com

Applications must include:

1) A curriculum vitae indicating degrees obtained, course covered, publications, relevant work experience, and names of 3 referees that could be contacted if necessary.

2) A 1-page cover letter with statement of research experience, indicating why you are interested in this position and why you consider your experience is relevant.

3) A job application form that can be downloaded from: http://www2.wlv.ac.uk/pers/jobdetails/pers_jobapp_word_oct10.doc

The successful candidate will work with the Computational Linguistics group. Established by Prof. Ruslan Mitkov in 1998, the Research Group in Computational Linguistics is highly successful, delivering cutting-edge research in a number of NLP areas such as anaphora resolution, automatic summarisation, question answering, lexical knowledge acquisition, text categorisation, named entity recognition, information extraction, corpus construction and annotation, automatic terminology processing, multilingual processing, and multiple-choice question generation. To a large extent, this research has been undertaken in projects funded by major EU and UK funding bodies and commercial partners.

The results from the latest Research Assessment Exercise announced on 17 December 2008 confirm the Research Group in Computational Linguistics as one of the top performers in UK research. The research group was entered in Unit of Assessment "Linguistics" and Wolverhampton was ranked joint 3rd with 2 more universities. According to the league tables of the Guardian, The Times and Research Fortnight, research in Linguistics at the University of Wolverhampton is one of the top 6 best in the UK.

== Associate Research Scientist, Speech==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Scientist, Speech
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field.

You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.

Our requirements include:

* Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles
* Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators
* Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics
* Evidence of substantive research experience and/or experience in developing and deploying speech capabilities
* Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system
* Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

== Senior Research Scientist, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Senior Research Scientist, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.

Job Requirements

Our qualifications include:

* A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science
* Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study
* A strong statistical and machine learning background
* Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems
* Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)
* The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects
* Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators
* Familiarity with the application of NLP tools to educational problems
* Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

== Research Scientist/NLP Developer==
*'''Employer''': stealth startup
*'''Rank or Title''': Research Scientist/NLP Developer
*'''Specialty''': NLP, Medical Informatics, Data Scientist
*'''Location''': Menlo Park, CA
*'''Deadline''': Open until filled. Applications reviewed immediately.
*'''Date Posted''': October 22, 2010
*'''Contact''': jchew@oneteamtech.com

As a Research Scientist, you will contribute to the development of algorithms and content for medical web applications and healthcare data processing tools. You will be part of the Informatics research team building intelligent software systems for integrating various types of healthcare data in a research and development environment.

Qualifications & Requirements

* PhD (preferred) or Master's degree in Computer Science, Computational Linguistics, Mathematics or related fields
* Experience with NLP, text processing, text mining, search algorithms, machine learning
* Experience with Medical terminology and data sources (preferred)
* Data mining and analysis of large data sets (preferred)
* Strong analytical and algorithm design abilities
* Experience in Java development
* Excellent communication skills
* Ability to work as a team with scientists, engineers and medical professionals
* Must be an independent self-starter

== Natural Language Processing Expert ==
* '''Employer''': RealHealthData
* '''Rank or Title''': Assistant Professor, Computer Scientist, NLP Expert.
* '''Specialty''': Natural Language Processing
* '''Location''': Santa Cruz, CA (Telecommuting OK)
* '''Deadline''': Open until filled, application review begins immediately.
* '''Date Posted''': October 20, 2010
* '''Contact''': paul.murphy@realhealthdata.com

Throughout 2009, a contract-based NLP expert produced an initial dataset derived from de-identified medical records, which are used to analyze trends and patterns in the medical research field.

During the de-identification and processing phase, metadata such as practice specialty and location was manually included as a reference alongside all documents. Another product that needs optimization in this project is an application that allows the input of additional medical records, in Microsoft Word format, to the main database using the same algorithm as the initial process.

The objective is to identify the weaknesses in the algorithm, which have led to a lower amount of extracted data than should be expected, considering the rich content of documents. Once the algorithm is optimized, it should be run on all documents in our current pool, generating a more complete and updated dataset. The project will conclude once we have a new full dataset, and a C# application fit for seamless input in the future.

Skills:
-3+ years of experience with command of at least one NLP tool, and/or experience with projects involving NLP and Text Mining or developing NLP solutions.
-Knowledge of analytics and data visualization
-Knowledge of spreadsheet-based analysis and reporting
-Experience with programming to implement NLP solutions (C#)
-Knowledge of key NLP techniques, including part-of-text tagging, syntactic parsing, information extraction, etc.

== Assistant Professor, Machine Learning ==
* '''Employer''': The Ohio State University
* '''Rank or Title''': Assistant Professor, Tenure Track
* '''Specialty''': Machine Learning
* '''Location''': Columbus, OH
* '''Deadline''': Open until filled, application review begins November 2010.
* '''Date Posted''': October 6, 2010
* '''Contact''': http://www.cse.ohio-state.edu/department/positions.shtml

The Computer Science & Engineering Department at Ohio State has multiple
assistant professor openings this year, one of which is targeted for
machine learning. Application review will begin in November. More
information can be found at the following site:

http://www.cse.ohio-state.edu/department/positions.shtml

== Scientist/Sr. Scientist, Text Mining Biologist ==
* '''Employer''': Pfizer
* '''Rank or Title''': Scientist/Sr. Scientist, Text Mining Biologist
* '''Specialty''': Text Mining
* '''Location''': South San Francisco, CA
* '''Deadline''': Open until filled
* '''Date Posted''': August 26, 2010
* '''Contact''': http://www.pfizer.com

At Pfizer BioTherapeutics Division, Applied Quantitative Genotherapeutics (AQG) group, we are dedicated to developing and implementing investigative approaches focused on evaluating potential drug candidates and identifying new targets in preclinical models of disease. We use the latest scientific knowledge and apply novel approaches to discover new ways of treating disease. We encourage cooperation and support a high level of scientific freedom to find the best answers to biological questions. Located in South San Francisco, AQG provides the feel of a small start-up company with the resources of a large pharmaceutical company in the heart of the biotech capital of the world.

Responsibilities:

As part of the Applied Quantitative Genotherapeutics group, you will be working with a multi-disciplinary team using both bench biology and computational skills. You will use your understanding of biology and text analytics to partner with, and support project teams and individuals in research, clinical or business units.

You will assist in the specification of tools and methods for accessing, mining, and analyzing biomedical text. You will partner with Pfizer colleagues, publishers, and commercial vendors to evaluate, implement, test, and integrate best-in-class text mining capabilities. You will assist in the creation of custom corpora that can be interrogated by, and integrated with the text mining capabilities described above. You will assist in the evaluation, curation and administration of taxonomies, thesauri, and ontologies in compliance. You will assist in quantifying the quality of text mining capabilities. You will assist with testing, training, and communications related to the text mining capabilities described above, and perform related duties and manage special projects, as needed. This position will be deployed in South San Francisco, but will interact seamlessly with a similar group in Cambridge MA.

Qualifications:

MS or PhD required in the biomedical sciences (or equivalent) and a minimum of 1-3 years experience working in a biotechnology or pharmaceutical organization. Applicants must have knowledge of text mining principles and practices, demonstrated experience in the application of ontologies, taxonomies, and thesauri for text mining purposes, and familiarity with commercial and public biomedical information sources and vendors. Awareness of current and emerging text mining tools and trends, as demonstrated by active participation in professional organizations and in professional development activities, is also desired. Must possess good verbal and written communication skills, as required for communications with colleagues, vendors and project teams. Must be independent and self-motivated, with a propensity to seek out challenges and capitalize on new opportunities.

Please submit resumes for Requisition #942862 to www.pfizer.com

== Research Scientist, Natural Language Processing ==
* '''Employer''': ETS (Educational Testing Service)
* '''Rank or Title''': Research Scientist, Natural Language Processing
* '''Specialty''': Research
* '''Location''': Princeton, New Jersey, United States, 08540
* '''Deadline''': Open until filled
* '''Date Posted''': July 21, 2010
* '''Contact''': [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research. Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government. ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing. This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater). Responsibilities of the position include but are not limited to: <ul> <li>Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing and disseminating results of research projects in the field of natural language processing (NLP) or portions of large-scale research studies or programs in the same field.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul>

Requirements: <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer. [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail] [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

== Programmer Analyst, Linguistic Data Consortium, Philadelphia, PA, USA ==
* '''Employer''': Linguistic Data Consortium, the University of Pennsylvania, USA
* '''Rank or Title''': Programmer Analyst (#100328205)
* '''Specialty''': Corpus Creation, Annotation Tool Development
* '''Location''': Philadelphia, PA, USA
* '''Deadline''': Open until filled
* '''Date Posted''': June 24, 2010
* '''Contact''': Please visit [http://jobs.hr.upenn.edu/applicants/Central?quickFind=191248 application URL]

This position will support LDC's language resource creation projects by providing programming, research and other technical support in a rapid prototyping environment, for multiple concurrent projects with evolving technical requirements. In collaboration with technical managers, non-technical project staff and external researchers, this candidate will assess technical requirements for projects, develop plans for satisfying those needs, and implement technical specifications within stringent deadlines and budget constraints.

For further information or to apply online, visit the application URL above.

This position is contingent upon funding.

Penn offers an excellent benefits package including medical/dental, retirement plans, tuition assistance and a minimum of 3 weeks paid vacation per year.

The University of Pennsylvania does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class status in the administration of its admissions, financial aid, educational or athletic programs, or other University-administered programs or in its employment practices. Questions or complaints regarding this policy should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia, PA 19104-6106; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).

== Computational Linguist contracts (Several languages) ==
* '''Employer''': The Lingua Team, LLC
* '''Rank or Title''': Computational linguist
* '''Specialty''': Grammar and syntax in foreign languages
* '''Location''': Redmond, WA, USA
* '''Deadline''': July 30, 2010
* '''Date Posted''': June 15, 2010
* '''Contact''': The Lingua Team website[http://www.thelinguateam.com], or email [mailto:info@thelinguateam.com]

Description: The Lingua team provides linguistic services to IT companies worldwide.

We are looking for computational linguists to describe properties relevant to grammar checking for several language groups: Semitic,
Romance, Slavic, Germanic, and Agglutinative. The actual list of languages includes: Arabic, Brazilian Portuguese, Bulgarian, Czech,
Danish, Dutch, European Portuguese, Finnish, Hebrew, Hungarian, Italian, Norwegian Bokmal, Polish, Romansh, Russian, Swedish, and
Turkish.

These positions require native or near native knowledge of the above languages to describe properties relevant to grammar checking for one or more of these languages.

Required: Degreed
linguist with graduate-level studies with proven experience managing or performing computational linguistic work (syntax, morphology,
lexicography) in several languages. Self-starter, ability to work independently, excellent written communication skills. Work permit
for the USA.

Preferred: Experience writing rules in a formal system, ideally for style or grammar checking applications. Additional
Information: Contract full-time for three months, to be extended for a year depending on ability to meet the job demands. Though the location of this project is Redmond, WA (USA) working from your location after the initial training might be a possibility.

== Government internships (unpaid) in text classification and search ==
* '''Employer''': U.S. Patents and Trademarks Office
* '''Rank or Title''': Student Volunteer
* '''Specialty''': Computer and Information Science
* '''Location''': Alexandria, VA, USA
* '''Deadline''': October 08, 2010
* '''Date Posted''': March 29, 2010
* '''Contact''': [http://is.gd/b616r Listing at USAJOBS.gov]

Description:
The USPTO is responsible for granting U.S. Intellectual Property
Rights for Patents and Trademarks and has been serving the economic
interests of America for more than 200 years. The Office is a heavy
user of text analysis and search tools for both text and images, and
is in the midst of an entire redesign of its Information Technology
system. This internship is an opportunity to make a difference to the
entire U.S. economy by applying your skills in user interface design
and evaluation, text classification algorithm design and evaluation,
and search interface and algorithm design and evaluation. For more
information about the USPTO, please visit our website at
http://www.uspto.gov.

The Office of the Chief Information Technology (IT) Strategist is
looking for enthusiastic individuals to design new and evaluate
existing interfaces and algorithms for text and image search, and for
text and image classification and comparison. Tasks will include some
combination of designing, programming, usability testing, and report
writing, with an option to write publishable research papers.
Projects include designing and testing algorithms and interfaces for
collaborative search, for integrated faceted classification into
search tools, for automating assignment of faceted classifications to
patent documents as well as to non-patent prior art, for allowing the
public as well as PTO employees to comment on and annotate documents,
and to compare the contents of structured text documents visually and
algorithmically. Students with skills in designing tools for online
social interaction are also encouraged to apply.

Requirements:

- US CITIZENSHIP IS REQUIRED. SOCIAL SECURITY NUMBER IS REQUIRED.

- Applicants MUST be ENROLLED in A GRADUATE PROGRAM/SUBMIT TRANSCRIPT.

- Applicants MUST submit ONE to THREE LETTERS OF RECOMMENDATION.

See link above for more details.

== Biomedical Text mining Position available, CNIO - Madrid, Spain ==

* '''Employer''': Spanish National Cancer Research Center (CNIO)
* '''Rank or Title''': Project associate research position
* '''Specialty''': Biomedical Text mining
* '''Location''': Madrid, Spain
* '''Deadline''': March 01, 2010
* '''Date Posted''': Feb 01, 2010
* '''Contact''': Martin Krallinger - mkrallinger@cnio.es

Description:
The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.

The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.

Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.

Requirements:
Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.

1) Candidates should have the following qualifications:
- Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications).
- A solid background and interest in statistical and machine learning methods
- Ability to develop algorithms and software for natural language processing/text mining systems
- Good English communication skills
- A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.

2) Other desirable skills and selection criteria include:
- Exposure to biomedical texts/domain.
- Familiarity with development of Web Services
- Well organized and have the ability to work in an interdisciplinary team.
- The publication record would be an advantage.
- Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will
be also highly desirable.
- Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet).
- Interest in the evaluation of systems performance and community challenges.

Organization:
The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure.
The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data.
The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.

Salary:
Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.

Application:
Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es

== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==

* '''Employer''': Potsdam
* '''Rank or Title''': Full Professor (W3)
* '''Specialty''': Theoretical Computational Linguistics
* '''Location''': Potsdam, Germany
* '''Deadline''': Feb 20, 2010
* '''Date Posted''': Jan 21, 2010
* '''Contact''': [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de

Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam

The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:

* Grammar formalisms and (probabilistic) parsing of natural language
* machine learning techniques for language processing
* computational semantics

Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science. Experience in obtaining third-party funding and an international presence is desirable.

The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.

Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).

Applications should be received by February 20 2010, and should be sent to:
The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany

SemEval 2012 versus 2013

2010-10-28T16:57:39Z

Lspecia:

== Votes ==

Increment the numbers below according to your preference.

'''For 2012:''' 1

'''For 2013:''' 5

== Reasons for 2012 ==
We still have almost 2 years! If its after 3 years, we probably won't be doing anything in the first year anyway. Hence, I vote for 2012. 
--
Naushad UzZaman, University of Rochester (TempEval-2 participant and TempEval-3 co-organizer)

== Reasons for 2013 ==

I understand that some participants are eager to run in yet another "competition" sooner rather than later. This is no reason to believe that squeezing the cycle into two years serves a useful purpose. My perspective is that of an organizer. A new task requires much thought and even more legwork. An old task merely repeated is not worth the bytes its data sit in. There must be new elements. To reuse the old data is easier said than done. I could share our experience with tasks 4 (2007) and 8 (2010). There was a markedly higher effort in 2009-2010 than any of us had initially thought. If the community goes with the idea of a common annotation style, well, that alone requires a deeper reflection.

I could go on, but you may already be bored. Let me just make a social observation. What we do is not a spat, a fisticuff or a race. It is a shared evaluation exercise. That many people treat is as a fight is painfully obvious. i suspect that it is not uncommon for someone to use the scores -- especially a showing close to the top -- as an argument in grant applications or requests for promotion. A stimulating intellectual challenge turns into (excusez le mot) a pissing contest. Naturally, it is better to have more chances to win that medal.

I propose to keep the usual pace. A three-year cycle has worked well. It allows organizers to do their work carefully and thoughtfully, without overstraining themselves. Those who run annual events probably survive only because innovation is very incremental.

--
Stan Szpakowicz, PhD, Professor
SITE, Computer Science, University of Ottawa

As a task organiser from 2007 (task 10) and 2010 (task 2) I concur with Stan's sentiments. It does all depend on the thought that is required for the new approach/annotation and how much time the organisers have to spare. Another argument for a longer cycle is that it gives some time for analysis of the previous data before implementing the new ideas. I do agree with Suresh and Deniz (the current SemEval co-chairs) that the decision should rest with those who are willing to organise the tasks.

--
Diana McCarthy, (co-) Director
Lexical Computing Ltd., Brighton UK

---------------------------------------------------------

As of the date of this posting (Oct 28, 2010), I would note that about 6? months has already passed since the results were submitted in the last SemEval. I think there is some argument for allowing ourselves a bit of breathing room, and also time to reflect on what happened last time before moving on to the next round.

I particularly like the idea of having a workshop of some kind about one year after the conclusion of a SemEval to allow for more detailed discussion of what happened last time around, and might help to avoid too much repetition in tasks and also provide a nice opportunity for a more in depth discussion of lessons learned. Given that, I tend to prefer a 3 year window (particularly if this enables a lessons learned style workshop after 1 year). There was, for example, an ACL 2002 workshop after Senseval-2 (2001) that focused on "Recent Successes and Future Directions" and featured some papers that did a bit more analysis of results, etc. than is normally possible right after the event. I couldn't find the call for this event, but you can see the proceedings here :

http://aclweb.org/anthology-new/W/W02/#0800

I'd also be concerned that a 2 year window this time around might not be sustainable, and so we'd end up fluctuating a bit on the interval as the years go by. I think having it generally understood that SemEval will happen every 3 years is nice in that folks can generally plan on it. This can be helpful when working with or planning to work with students or others on a fixed time interval.

Ted Pedersen

http://www.d.umn.edu/~tpederse

task participant 2001, 2004, 2007, 2010 and task organizer 2004

------------------------------------------------------------

[[Category:SemEval Portal]]

Employment opportunities, postdoctoral positions, summer jobs

2008-11-20T08:47:53Z

Lspecia: /* Internship on Textual Entailment Applied to Statistical Machine Translation, Xerox Research, Grenoble - France */

Please post your job ad below. Jobs are listed in chronological order of posting. Please remove your posting when the position is filled. Please include the following information:

* Employer
* Rank or Title
* Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
* Deadline
* Date Posted
* Contact email or link to website

See also the [http://linguistlist.org/jobs/index.html Linguist Job List].

== Internship on Textual Entailment Applied to Statistical Machine Translation, Xerox Research Centre Europe, Grenoble - France ==

The main research lines within the Cross Language Technologies (CLT) area at XRCE are Statistical Machine Translation, Cross-Lingual Information Retrieval and Machine Learning Techniques for Cross-Lingual Applications. CLT is currently coordinating the European Project SMART (Statistical Multilingual Analysis for Retrieval and Translation) [http://www.smart-project.eu].

XRCE has received funding from the PASCAL-2 Network of Excellence [http://pascallin2.ecs.soton.ac.uk] for conducting, in partnership with Bar-Ilan University in Israel, a "Pump Priming" project on the topic of "Context Models for Textual Entailment and their Application to Statistical Machine Translation". One of the goals of the project is to investigate situations in which, while a translation system may not have enough knowledge to adequately translate a source text into a target text, it may be able to do so based on entailment rules learned from monolingual data.

We are looking for preferably one (in this case the internship would be for 10 months ) or two interns (in this case each internship would last 5 months with the first starting at the beginning of 2009) to work on this topic under the supervision of XRCE researchers, and in collaboration with our partners. The focus of the work will be on the following topics:

* Integration of existing paraphrase and entailment resources into SMT settings, and assessment of their applicability in this domain;
* Development (in collaboration with our partners) of novel models for assessing the validity of entailment rules in context and implementation of SMT-based modules that are able to exploit such rules;
* Methodology and measures for controlling the use of directional and bi-directional entailment rules in SMT;
* Use of entailment knowledge for evaluating the performance of SMT systems.

The ideal candidate will be a strong Master or Ph.D. student with background in statistical machine translation and/or statistical methods in NLP. The candidate will be fluent in C/C++ and/or Python. Some knowledge and practice of Machine Learning models and tools will be a plus, as will be some previous acquaintance with work on Textual Entailment.

Contact:

* Lucia Specia: lucia.specia@xrce.xerox.com
* Marc Dymetman: marc.dymetman@xrce.xerox.com

For more information: http://www.xrce.xerox.com/internships/LS-MD.TE-SMT_2009.2008.html

== Machine Learning Winter Internship, Google New York ==

We are looking for a masters or PhD student to work on a large ML infrastructure project at Google New York. Good coding abilities and graduate level course work or research experience in ML is desirable. This is a great opportunity to see machine learning and classification at work in a leading technology company.

The period of the internship will be for 3-6 months with a flexible starting date. If interested, please send an email to ryanmcd+wi@google.com with a resume and any date constraints you may have.

Ryan McDonald, Google Research, New York

== Research Position at Stanford CSLI: Robust Dialogue Understanding and Dialogue Management ==

The Center for the Study of Language and Information (CSLI) at Stanford University is seeking a Research Scientist to work on multimodal spoken-language dialogue systems, starting as soon as possible, preferably 1 September 2008.

The ideal candidate is a Computational Linguist with an interest in the computational semantics and pragmatics of dialogue, with experience in formally-inspired and/or statistical/machine-learning approaches to natural language processing and dialogue modeling. The position requires a Ph.D. in computational linguistics, natural language processing, artificial intelligence, cognitive science, or a related field. Applicants should have a demonstrated capacity to define and implement a research plan, and to conduct individual and collaborative research consonant with the dialogue-systems projects underway at CSLI.

Current research into dialogue at CSLI includes human-human, human-computer and human-robot dialogue modeling, and employs a variety of techniques, including symbolic and stochastic, theory and data-driven. Proficiency in multiple approaches relevant to current CSLI application areas will be highly valued, as will an ability to participate in implementation.

Research topics of particular interest include:
* robust semantic interpretation from noisy data (e.g. fragment parsing, role detection);
* robust context-based pragmatic interpretation (e.g. anaphora/ellipsis/fragment resolution, dialogue act detection);
* multi-party discourse modeling (e.g. group decision-making, collaborative task planning, addressee detection);
* multimodal dialogue management;
* multimodal incremental processing;
* probabilistic dialogue state/activity modeling and tracking.

The successful candidate will work with faculty, postdoctoral, and student researchers in the Dialogue Systems Group at CSLI, performing novel research and developing core infrastructure for natural multimodal conversational systems for a range of interactions and applications. Responsibilities will include supervising student research assistants and participating in proposal-preparation to attract new funding.

The CSLI Dialogue Systems Group consists of about fifteen people, and is involved in a number of projects including close collaboration with other Stanford departments, numerous other academic institutions, government agencies such as NASA, not-for-profit research organizations such as SRI, and various commercial enterprises. Current projects include: understanding multi-party conversational interaction; speech-enabled intelligent tutoring systems; collaborative control of teams of robotic devices; and situated human-robot interaction.

The position is initially for 1 year, renewable for up to 3 years (contingent on continued funding). Salary is dependent on qualifications and experience, but is expected to be in a range starting from $70,000 for a junior appointee, to $90,000 for a senior appointee.

Applicants should submit a letter of application and a full resume or curriculum vitae with names and email addresses of at least three references. Please contact [http://godel.stanford.edu/twiki/bin/view/Public/WebHome Stanley Peters] and [http://www.stanford.edu/~raquelfr/ Raquel Fernandez] ({peters,raquelfr}@csli.stanford.edu) for further information.

Stanford University is an equal opportunity, affirmative action employer.

== Job Announcement: Programmer Analyst - Text and Speech Annotation Support, Linguistic Data Consortium, Philadelphia, USA ==

* Employer: Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
* Title: Programmer Analyst (full-time position)
* Specialty: Corpus Creation, Text and Speech Annotation Support
* New Deadline: Aug 15, 2008 (open until filled)
* Date Posted: July 28, 2008
* LDC website: http://www.ldc.upenn.edu
* See full job description: http://linguistlist.org/jobs/get-jobs.cfm?JobID=57140&SubID=185481

== Job Announcement: Research Statistician - Data Mining Applications Development, Cary, NC ==

'''Employer:''' SAS Institute, Inc.

'''Title:''' Research Statistician - Data Mining Applications Development-08002151

'''Specialty:''' Computational Linguistics

'''Deadline:''' Until Filled

'''Date Posted:''' June 30, 2008

'''Website:''' [http://www.sas.com www.sas.com]

'''Research Statistician - Data Mining Applications Development-08002151'''

'''Description'''

As a member of the SAS Enterprise Miner Development team, you will develop state-of-the-art algorithms to solve problems in text and data mining.

Your primary responsibility will be to develop algorithms to analyze tone and sentiment in textual documents, and to develop learning techniques to perform Boolean rule induction for textual categorization. In this role, you will collaborate with applications developers, senior statistical researchers, product marketing, systems engineers, and technical support personnel; and work with testing and documentation staff to develop test plans and contribute to product documentation. You will also research data mining applications; plan and develop implementations; and author papers and presentations on your work.

'''Qualifications'''

'''Essential'''

• Ph.D. degree in statistics, computational linguistics, computer science, or a related quantitative field

'''Equivalent Essential'''

• Master's degree in statistics, computational linguistics, computer science or a related quantitative field

• 2 years of experience developing statistical algorithms

'''Additional'''

• Excellent interpersonal and problem-solving skills

• Excellent written and verbal communication skills

• Ability to work independently, as well as with a team

• Knowledge of predictive modeling methods and applications

'''Preferences'''

• 3 years of experience developing statistical algorithms

• 2 years of experience programming in C

• Experience with SQL programming in relational database environments

• Experience with SAS platform technologies, such as Stored Process Development

'''Additional Information'''

The level of this position will be determined based upon the applicant's education, skills and experience.

Resumes may be considered in the order they are received.

'''Job:''' Software R&D

'''Primary Location:''' US-NC-Cary

'''Organization:''' SAS Institute Inc.

'''Classification:''' Full-time

== Job Announcement: Postdoctoral Researcher in Natural Language Processing, School of Informatics, University of Edinburgh ==

'''POST-DOCTORAL RESEARCHER IN NATURAL LANGUAGE PROCESSING'''

'''Job Details'''

*Job Reference 3009188
*Department Informatics
*Job Title Research Associate
*Job Function Academic
*Job Type Fixed Term: 36 months
*Expiry Date 15 July 2008
*Salary Scale GBP 28,290-33,779

'''Job Description'''

The School of Informatics at the University of Edinburgh invites
applications for the post of researcher on the project ``Global
Inference for Summarization Using Integer Linear Programming'', funded
by the EPSRC. This project will design and implement novel models for
summarization that break away from the sentence extraction
paradigm. The overall aim is to utilize global inference algorithms
for the summarization task and demonstrate their superiority over
traditional local optimization methods.

The position is suitable for a candidate with a PhD in Natural
Language Processing, computer science, mathematics, or a related
discipline. The successful applicant will have strong programming
skills and experience with natural language processing techniques and
machine learning. Experience with summarization and/or optimization
methods is also desirable. He or she will be responsible for
developing summarization models (both extractive and abstractive)
within a global inference framework evaluation and for their
evaluation. The starting date will be 01 September 2008, or as soon as
possible thereafter.

Informal inquiries can be made by email to Mirella Lapata
(mlap@inf.ed.ac.uk). Further particulars for this position can be
found at:

http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3009188

The closing date for applications is 15 July 2008. Please submit your
application online at the URL given above or in hardcopy to the
following address, quoting job reference 3009188:

Ms. Avril Heron
HCRC, University of Edinburgh
2 Buccleuch Place
Edinburgh EH8 9LW
United Kingdom
School of Informatics

== Job Announcement: Natural Language Processing expert, Market Sentinel Ltd, London, UK ==

* Employer: Market Sentinel Ltd, 9 Wigton Place, London SE11 4AN, UK +44 (0) 20 7793 1575
* Title: Natural Language Processing expert (contract)
* Deadline: May 30, 2008 (open until filled)
* Date Posted: May 14th, 2008
* Market Sentinel website: http://www.marketsentinel.com
* We're a London-based company with a focus on social network analysis.
* We offer a rare opportunity to join a young, fast-growing company.
* The raw materials we process are online conversations, so we're looking for someone with expertise in natural language processing to join our team.
* Our aim is to improve the ability of our platform to understand the text it encounters.
* We're looking for a smart, self-motivated problem-solver whose keen to apply computational linguistics technology to the real world.
* Knowledge of agile software development on a Linux platform would be helpful, as would experience of Python, Java, Perl and XML processing.
* As we're an agile team, we like eloquent people who can communicate as well with other people as they can with machines.
* We want more than just a developer, someone who can research problems, identify solutions and implement them. Your talents will help construct an emerging enterprise. If such challenges excite you, we'd love to hear from you.

* Mail a CV to joinmarketsentinel [AT] gmail [DOT} com or call us to know more on the number above

== Job Announcement: Programmer Analyst - Arabic Treebank, Linguistic Data Consortium, Philadelphia, USA ==

* Employer: Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
* Title: Programmer Analyst (full-time position)
* Specialty: Corpus Creation, Arabic Treebank
* New Deadline: August 15, 2008 (open until filled)
* Date Posted: April 9, 2008
* LDC website: http://www.ldc.upenn.edu
* See full job description: http://linguistlist.org/jobs/get-jobs.cfm?JobID=53141&SubID=174250

== Job Announcement: Post-Doc in NLP, Universidad Carlos III, Madrid, Spain ==

* Employer: Database Group, Universidad Carlos III de Madrid, Spain
* Title: Postdoctoral Research Fellow
* Specialty: PhD in Computer Science, Computational Linguistics, Information Science, Knowledge Management or similar fields. Position is funded by MAVIR (Improving the accessibility and visibility of multilingual information in Internet for the Region of Madrid, http://www.mavir.net )
* Deadline: February 15 2008
* Date Posted: January 25, 2007
* Group website: http://basesdatos.uc3m.es
* See full job description: http://basesdatos.uc3m.es/fileadmin/Investigacion/postdoc_MAVIR_2008_en.pdf

== Job Announcement: Computational Linguistics/Text Mining, Three three-year Postdoc positions, Macquarie University, Sydney, Australia ==

* Employer: Centre for Language Technology, Macquarie University, Sydney, Australia
* Title: Postdoctoral Research Fellow (three positions)
* Specialty: Ph.D. in Computational Linguistics or a related area. The project is funded by the Capital Markets Cooperative Research Centre, which recently received a renewal of its funding from the Australian Government. The aim of the project is to build a sophisticated platform for
exhaustive extraction from large text collections.
* Deadline: January 21 2008
* Date Posted: January 5, 2007
* Group website: http://www.clt.mq.edu.au
* Application process: Applications must be made online via the Macquarie University website at
http://www.hr.mq.edu.au/, where you can also find out more about the positions: search for position 19478 via the 'Positions Vacant' link.
* More information: Informal enquiries can be made to Robert Dale at rdale@ics.mq.edu.au.

== Job Announcement: Computational Linguistics, Assistant Professor-Tenure Track, San Jose State University, San Jose CA ==

* Employer: San Jose State University, Department of Linguistics & Language Development, San Jose CA, USA
* Title: Assistant Professor - Tenure Track
* Specialty: Ph.D. in linguistics with a specialization in Computational Linguistics. ABDs may be considered if doctorate is completed by August 2008. Required: Applicants must present evidence of teaching ability, scholarly activity and awareness of and sensitivity to the educational goals of a multicultural population as might have been gained in cross-cultural study, training, teaching, and other comparable experience.
* Deadline: February 1, 2008
* Date Posted: December 6, 2007
* Department website: http://linguistics.sjsu.edu
* See full job description at http://linguistics.sjsu.edu/pub/Public/WebHome/compling.pdf

== Job Announcement: 2 Research Associates, Institute for Language and Speech Processing, Athens, Greece ==

* Employer: Language Technology Applications Department, Institute for Language and Speech Processing, Athens, Greece
* Title: Research Associates, Full-time for up to 3 years.
* Specialty: Knowledge Representation and Reasoning, Machine Learning for Language Technology Applications respectively; experience with Ontologies and Multimedia Processing desirable
* Deadline: 15 December 2007
* Date Posted: 21 November, 2007
* [http://www.ilsp.gr/jobvacancy_eng.html/ More information]

== Job Announcement: Visiting Research Scientist/Post-Doctoral Fellow ==

* Employer: Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati OH, USA
* Title: Visiting Research Scientist or Post-Doctoral, Full-time for up to 2 years.
* Specialty: Natural Language Processing, experience with clinical text desired
* Deadline: Until filled
* Date Posted: December 18, 2007
* [http://computationalmedicine.org/ More information]

==Job Announcement: Assistant Professor, University of Maryland, College Park ==

The Department of Computer Science at the University of Maryland,
College Park, MD, USA invites applications for a position in Natural
Language Processing at the rank of assistant professor (tenure-track).

Applications from women and minority candidates are especially
welcome. Candidates with established research programs will be
considered for joint appointments between the Department and the
Institute for Advanced Computer Studies, the Department of Electrical
Engineering, and the Institute for Systems Research.

Candidates should submit their application (curriculum vitae and
research summary) online at: hiring.cs.umd.edu and have their
references upload their letters to that site. At least three research
letters and one teaching letter are required. We will begin the
review of candidates by January 14, 2008; therefore, we encourage your
early application.

Additional information about academic and research units within the
Department of Computer Science at the University of Maryland is
available on the World Wide Web at: http://www.cs.umd.edu and at
http://www.umiacs.umd.edu

The University of Maryland is an Equal Opportunity, Affirmative Action Employer.

Posted October 8, 2007.

==Job offer: Senior Software Engineer, Stanford CS department, Natural Language Processing group==

The Natural Language Processing Group ( http://nlp.stanford.edu/ ) at the Stanford Computer Science department is looking for a Senior NLP Software Engineer to work on the Stanford Intellectual Property Clearinghouse project.

The goal of the Stanford IP Clearinghouse project is to address the broken US Patent System by creating a publicly accessible database of all Intellectual Property documents and building a specialized Semantic Search Engine on top of it. The project will benefit individual inventors, high-tech and bio-tech companies involved in technology transfer, patent policy makers, and legal professionals.

The project provides a unique corpus for NLP research:

- Large collection of textual documents of multiple types
- IP domain provides rich imbedded structure within documents
- Many-to-many relationships between different document types

A few words on the Stanford Intellectual Property Clearinghouse:

- CS Professor Chris Manning is a technical advisor
- Intel, Oracle, Cisco, Genentech, SAP and others are funding the effort
- Currently we have $3 million in funding
- There will be an opportunity for commercial spin-offs (startups)

Responsibilities:

The candidate will work with Professor Chris Manning on the project. The main responsibility of the Senior Software Engineer is to architect and implement the NLP system. The candidate will also provide technical direction to the project.

Qualifications:

The ideal candidate must have a PhD or MS in Computer Science in the field of Natural Language Processing or Computational Linguistics. Candidate must also have 5+ years of work experience in building large-scale Natural Language Processing systems.

* Expert knowledge of Natural Language Processing field
* Expert knowledge of Machine Learning techniques and algorithms
* Expert knowledge of Graphical Models (Markov Random Fields, HMM, CRF, etc...)
* Knowledge of Semi-supervised Machine Learning algorithms and bootstrapping
* Expert programming skills in Java (5+ yrs of programming experience)
* Expert knowledge of design and architecture of large-scale NLP systems written in Java
* Experience with rapid development of large-scale NLP systems written in Java

Benefits:

* Challenging, fun and startup-like environment at Stanford University
* Opportunity to improve US Patent system and change the world
* There will be an opportunity for commercial spin-offs (startups)
* Full benefits (medical, dental, etc...)
* Relocation
* Telecommuting
* Industry competitive salary ($120K - $140K)

For more information contact:

George Grigoryev
Director of Project Engineering
Natural Language Processing & IR
Stanford Intellectual Property Clearinghouse
george.grigoryev (at) stanford (dot) edu

==Job offer: NLP/ML Researcher for Start Up, Cambridge, MA, USA==

'''Company Overview'''
HiveFire is an early stage funded start up located in Kendall Square in Cambridge, MA. HiveFire is in the online news space specializing in technology involving machine learning, natural language processing, information retrieval and human computer interaction. Current team consists of MIT alumni with engineering and research experience at Google, Microsoft, and several start-ups.

'''Location:''' Cambridge, MA

'''Description'''
HiveFire is seeking to hire a talented individual with research experience in Natural Language Processing (NLP) and/or Machine Learning.

* Ability to design, implement and evaluate sophisticated machine learning and text analysis models.
* Solid understanding of both unsupervised and supervised approaches.
* Familiarity with NLP tasks including but not limited to: summarization, document clustering, co-reference resolution, discourse analysis, transfer learning, text mining, document classification and natural language generation.

'''Education'''
Graduate degree in Computer Science is preferred.

'''Compensation'''
We offer competitive salary and equity with benefits such as paid vacation and health/dental insurance.

'''Website and Contact:''' http://www.hivefire.com

'''Date Posted:''' July 19, 2007

==Job offer: Post-Doc in NLP, Darmstadt University, Germany==

* Ubiquitous Knowledge Processing Group, Dept. of Telecooperation, Darmstadt University, Germany
* Post-Doc
* Natural Language Processing related to Web 2.0 / eLearning as an application domain
* open until filled
* 01/01/2007
* gurevych (at) tk (dot) informatik (dot) tu-darmstadt (dot) de, http://www.ukp.tu-darmstadt.de/node/76

==Job offer: Sr Text Analytics Developer, RiverGlass, Chicago or Champaign, IL, USA==

See full job description at http://www.riverglassinc.com/about/view_career.php?showID=9

RiverGlass, Inc. is seeking extremely talented and energetic innovators to help us perfect and advance our text analytics. We are creating some highly innovative applications that leverage sophisticate text and data analytics, and information visualizations to help customers in a variety of markets, ranging from homeland security and law enforcement to financial services.

* Expert-level understanding of information extraction, summarizaiton, classification, clustering, tone/sentiment analysis, etc.
* Experience in creation and exploitation of domain and task ontologies in text analytics a plus
* open until filled, multiple positions
* pcarroll (at) riverglassinc (dot) com, http://www.riverglassinc.com/about/view_career.php?showID=9

==Job offer: Postdoctoral position, Stony Brook University, Stony Brook, NY, USA==

Postdoctoral Position Available -- News/Blog Analysis

The Lydia project builds a relational model of people, places, and other
entities through natural language processing of news sources and the
statistical analysis of entity frequencies and co-locations. This model
can be used to identify trends and other information flows through this
entity network. Please visit http://www.textmap.org/ to see our analysis
of recent news and blog postings obtained from over 500 daily online news
sources.

Lydia gives us a way to measure the temperature of the political, economic,
and cultural world. We track hundreds of thousands different entities
arising in these news sources. We establish temporal and regional biases
in interest, by analyzing the frequency and positive/negative sentiment
of these entity references. We identify relationships between news entities,
resulting in a massive network where the vertices represent news entities,
with pairs of entities linked if there is a substantive relationship between
them.

A two-year postdoctoral position (potentially extensible to three years or
beyond) is now available to join our team. I am looking for someone with a
background in either:

(1) natural language processing,
(2) text mining or data mining,
(3) graph algorithms and the science of networks, or
(4) data analysis or visualization.

The applicant will be expected to use their expertise to improve the quality
of our analysis, and help manage a team of roughly ten graduate students
as we shift our focus beyond technological issues to questions of what this
data means and how we can best exploit it.

Applicants *must* be U.S. citizens who will receive their Ph.D. in
Computer Science, Linguistics, Economics, or a related field no later than
August 2007. If interested, please send your vita and contact information
electronically to skiena@cs.sunysb.edu or by mail to:

Steven Skiena
Department of Computer Science
Stony Brook University
Stony Brook, NY 11794-4400
http://www.cs.sunysb.edu/~skiena

== Job Opening: Postdoctoral Researcher in Natural Language Processing, IBM T.J. Watson Research Center, New York, USA ==

The Semantic Analysis and Integration department at the IBM T.J. Watson Research Center is seeking a post-doctoral researcher on its open-domain question answering project. The project focuses on developing general and reusable QA technologies to achieve reproducible high-performing results in open-domain and specialized-domain question answering. This project offers the opportunity to work with more than 20 IBM researchers with backgrounds in NLP, IR, KR&R, and DB across multiple IBM research labs, as well as the opportunity to collaborate with our university partners. The responsibilities of the post-doc researcher will focus on developing effective techniques for leveraging multiple parsers to better match questions and passages for answer scoring purposes.

The successful candidate should have the following qualifications:

* Ph.D. in Computational Linguistics
* Demonstrated experience in statistical NLP techniques, parsing, and semantic analysis
* Strong Java programming skills

Interested candidates should contact Jennifer Chu-Carroll by emailing jencc (at) us (dot) ibm (dot) com.

Employment opportunities, postdoctoral positions, summer jobs

2008-11-20T08:46:27Z

Lspecia: /* Internship on Textual Entailment Applied to Statistical Machine Translation, Xerox Research, Grenoble - France */

Please post your job ad below. Jobs are listed in chronological order of posting. Please remove your posting when the position is filled. Please include the following information:

* Employer
* Rank or Title
* Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
* Deadline
* Date Posted
* Contact email or link to website

See also the [http://linguistlist.org/jobs/index.html Linguist Job List].

== Internship on Textual Entailment Applied to Statistical Machine Translation, Xerox Research, Grenoble - France ==

Contact:
* Lucia Specia: lucia.specia@xrce.xerox.com
* Marc Dymetman: marc.dymetman@xrce.xerox.com

More information: http://www.xrce.xerox.com/internships/LS-MD.TE-SMT_2009.2008.html

Description:

The main research lines within the Cross Language Technologies (CLT) area at XRCE are Statistical Machine Translation, Cross-Lingual Information Retrieval and Machine Learning Techniques for Cross-Lingual Applications. CLT is currently coordinating the European Project SMART (Statistical Multilingual Analysis for Retrieval and Translation) [http://www.smart-project.eu].

XRCE has received funding from the PASCAL-2 Network of Excellence [http://pascallin2.ecs.soton.ac.uk] for conducting, in partnership with Bar-Ilan University in Israel, a "Pump Priming" project on the topic of "Context Models for Textual Entailment and their Application to Statistical Machine Translation". One of the goals of the project is to investigate situations in which, while a translation system may not have enough knowledge to adequately translate a source text into a target text, it may be able to do so based on entailment rules learned from monolingual data.

We are looking for preferably one (in this case the internship would be for 10 months ) or two interns (in this case each internship would last 5 months with the first starting at the beginning of 2009) to work on this topic under the supervision of XRCE researchers, and in collaboration with our partners. The focus of the work will be on the following topics:

* Integration of existing paraphrase and entailment resources into SMT settings, and assessment of their applicability in this domain;
* Development (in collaboration with our partners) of novel models for assessing the validity of entailment rules in context and implementation of SMT-based modules that are able to exploit such rules;
* Methodology and measures for controlling the use of directional and bi-directional entailment rules in SMT;
* Use of entailment knowledge for evaluating the performance of SMT systems.

The ideal candidate will be a strong Master or Ph.D. student with background in statistical machine translation and/or statistical methods in NLP. The candidate will be fluent in C/C++ and/or Python. Some knowledge and practice of Machine Learning models and tools will be a plus, as will be some previous acquaintance with work on Textual Entailment.

== Machine Learning Winter Internship, Google New York ==

We are looking for a masters or PhD student to work on a large ML infrastructure project at Google New York. Good coding abilities and graduate level course work or research experience in ML is desirable. This is a great opportunity to see machine learning and classification at work in a leading technology company.

The period of the internship will be for 3-6 months with a flexible starting date. If interested, please send an email to ryanmcd+wi@google.com with a resume and any date constraints you may have.

Ryan McDonald, Google Research, New York

== Research Position at Stanford CSLI: Robust Dialogue Understanding and Dialogue Management ==

The Center for the Study of Language and Information (CSLI) at Stanford University is seeking a Research Scientist to work on multimodal spoken-language dialogue systems, starting as soon as possible, preferably 1 September 2008.

The ideal candidate is a Computational Linguist with an interest in the computational semantics and pragmatics of dialogue, with experience in formally-inspired and/or statistical/machine-learning approaches to natural language processing and dialogue modeling. The position requires a Ph.D. in computational linguistics, natural language processing, artificial intelligence, cognitive science, or a related field. Applicants should have a demonstrated capacity to define and implement a research plan, and to conduct individual and collaborative research consonant with the dialogue-systems projects underway at CSLI.

Current research into dialogue at CSLI includes human-human, human-computer and human-robot dialogue modeling, and employs a variety of techniques, including symbolic and stochastic, theory and data-driven. Proficiency in multiple approaches relevant to current CSLI application areas will be highly valued, as will an ability to participate in implementation.

Research topics of particular interest include:
* robust semantic interpretation from noisy data (e.g. fragment parsing, role detection);
* robust context-based pragmatic interpretation (e.g. anaphora/ellipsis/fragment resolution, dialogue act detection);
* multi-party discourse modeling (e.g. group decision-making, collaborative task planning, addressee detection);
* multimodal dialogue management;
* multimodal incremental processing;
* probabilistic dialogue state/activity modeling and tracking.

The successful candidate will work with faculty, postdoctoral, and student researchers in the Dialogue Systems Group at CSLI, performing novel research and developing core infrastructure for natural multimodal conversational systems for a range of interactions and applications. Responsibilities will include supervising student research assistants and participating in proposal-preparation to attract new funding.

The CSLI Dialogue Systems Group consists of about fifteen people, and is involved in a number of projects including close collaboration with other Stanford departments, numerous other academic institutions, government agencies such as NASA, not-for-profit research organizations such as SRI, and various commercial enterprises. Current projects include: understanding multi-party conversational interaction; speech-enabled intelligent tutoring systems; collaborative control of teams of robotic devices; and situated human-robot interaction.

The position is initially for 1 year, renewable for up to 3 years (contingent on continued funding). Salary is dependent on qualifications and experience, but is expected to be in a range starting from $70,000 for a junior appointee, to $90,000 for a senior appointee.

Applicants should submit a letter of application and a full resume or curriculum vitae with names and email addresses of at least three references. Please contact [http://godel.stanford.edu/twiki/bin/view/Public/WebHome Stanley Peters] and [http://www.stanford.edu/~raquelfr/ Raquel Fernandez] ({peters,raquelfr}@csli.stanford.edu) for further information.

Stanford University is an equal opportunity, affirmative action employer.

== Job Announcement: Programmer Analyst - Text and Speech Annotation Support, Linguistic Data Consortium, Philadelphia, USA ==

* Employer: Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
* Title: Programmer Analyst (full-time position)
* Specialty: Corpus Creation, Text and Speech Annotation Support
* New Deadline: Aug 15, 2008 (open until filled)
* Date Posted: July 28, 2008
* LDC website: http://www.ldc.upenn.edu
* See full job description: http://linguistlist.org/jobs/get-jobs.cfm?JobID=57140&SubID=185481

== Job Announcement: Research Statistician - Data Mining Applications Development, Cary, NC ==

'''Employer:''' SAS Institute, Inc.

'''Title:''' Research Statistician - Data Mining Applications Development-08002151

'''Specialty:''' Computational Linguistics

'''Deadline:''' Until Filled

'''Date Posted:''' June 30, 2008

'''Website:''' [http://www.sas.com www.sas.com]

'''Research Statistician - Data Mining Applications Development-08002151'''

'''Description'''

As a member of the SAS Enterprise Miner Development team, you will develop state-of-the-art algorithms to solve problems in text and data mining.

Your primary responsibility will be to develop algorithms to analyze tone and sentiment in textual documents, and to develop learning techniques to perform Boolean rule induction for textual categorization. In this role, you will collaborate with applications developers, senior statistical researchers, product marketing, systems engineers, and technical support personnel; and work with testing and documentation staff to develop test plans and contribute to product documentation. You will also research data mining applications; plan and develop implementations; and author papers and presentations on your work.

'''Qualifications'''

'''Essential'''

• Ph.D. degree in statistics, computational linguistics, computer science, or a related quantitative field

'''Equivalent Essential'''

• Master's degree in statistics, computational linguistics, computer science or a related quantitative field

• 2 years of experience developing statistical algorithms

'''Additional'''

• Excellent interpersonal and problem-solving skills

• Excellent written and verbal communication skills

• Ability to work independently, as well as with a team

• Knowledge of predictive modeling methods and applications

'''Preferences'''

• 3 years of experience developing statistical algorithms

• 2 years of experience programming in C

• Experience with SQL programming in relational database environments

• Experience with SAS platform technologies, such as Stored Process Development

'''Additional Information'''

The level of this position will be determined based upon the applicant's education, skills and experience.

Resumes may be considered in the order they are received.

'''Job:''' Software R&D

'''Primary Location:''' US-NC-Cary

'''Organization:''' SAS Institute Inc.

'''Classification:''' Full-time

== Job Announcement: Postdoctoral Researcher in Natural Language Processing, School of Informatics, University of Edinburgh ==

'''POST-DOCTORAL RESEARCHER IN NATURAL LANGUAGE PROCESSING'''

'''Job Details'''

*Job Reference 3009188
*Department Informatics
*Job Title Research Associate
*Job Function Academic
*Job Type Fixed Term: 36 months
*Expiry Date 15 July 2008
*Salary Scale GBP 28,290-33,779

'''Job Description'''

The School of Informatics at the University of Edinburgh invites
applications for the post of researcher on the project ``Global
Inference for Summarization Using Integer Linear Programming'', funded
by the EPSRC. This project will design and implement novel models for
summarization that break away from the sentence extraction
paradigm. The overall aim is to utilize global inference algorithms
for the summarization task and demonstrate their superiority over
traditional local optimization methods.

The position is suitable for a candidate with a PhD in Natural
Language Processing, computer science, mathematics, or a related
discipline. The successful applicant will have strong programming
skills and experience with natural language processing techniques and
machine learning. Experience with summarization and/or optimization
methods is also desirable. He or she will be responsible for
developing summarization models (both extractive and abstractive)
within a global inference framework evaluation and for their
evaluation. The starting date will be 01 September 2008, or as soon as
possible thereafter.

Informal inquiries can be made by email to Mirella Lapata
(mlap@inf.ed.ac.uk). Further particulars for this position can be
found at:

http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3009188

The closing date for applications is 15 July 2008. Please submit your
application online at the URL given above or in hardcopy to the
following address, quoting job reference 3009188:

Ms. Avril Heron
HCRC, University of Edinburgh
2 Buccleuch Place
Edinburgh EH8 9LW
United Kingdom
School of Informatics

== Job Announcement: Natural Language Processing expert, Market Sentinel Ltd, London, UK ==

* Employer: Market Sentinel Ltd, 9 Wigton Place, London SE11 4AN, UK +44 (0) 20 7793 1575
* Title: Natural Language Processing expert (contract)
* Deadline: May 30, 2008 (open until filled)
* Date Posted: May 14th, 2008
* Market Sentinel website: http://www.marketsentinel.com
* We're a London-based company with a focus on social network analysis.
* We offer a rare opportunity to join a young, fast-growing company.
* The raw materials we process are online conversations, so we're looking for someone with expertise in natural language processing to join our team.
* Our aim is to improve the ability of our platform to understand the text it encounters.
* We're looking for a smart, self-motivated problem-solver whose keen to apply computational linguistics technology to the real world.
* Knowledge of agile software development on a Linux platform would be helpful, as would experience of Python, Java, Perl and XML processing.
* As we're an agile team, we like eloquent people who can communicate as well with other people as they can with machines.
* We want more than just a developer, someone who can research problems, identify solutions and implement them. Your talents will help construct an emerging enterprise. If such challenges excite you, we'd love to hear from you.

* Mail a CV to joinmarketsentinel [AT] gmail [DOT} com or call us to know more on the number above

== Job Announcement: Programmer Analyst - Arabic Treebank, Linguistic Data Consortium, Philadelphia, USA ==

* Employer: Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
* Title: Programmer Analyst (full-time position)
* Specialty: Corpus Creation, Arabic Treebank
* New Deadline: August 15, 2008 (open until filled)
* Date Posted: April 9, 2008
* LDC website: http://www.ldc.upenn.edu
* See full job description: http://linguistlist.org/jobs/get-jobs.cfm?JobID=53141&SubID=174250

== Job Announcement: Post-Doc in NLP, Universidad Carlos III, Madrid, Spain ==

* Employer: Database Group, Universidad Carlos III de Madrid, Spain
* Title: Postdoctoral Research Fellow
* Specialty: PhD in Computer Science, Computational Linguistics, Information Science, Knowledge Management or similar fields. Position is funded by MAVIR (Improving the accessibility and visibility of multilingual information in Internet for the Region of Madrid, http://www.mavir.net )
* Deadline: February 15 2008
* Date Posted: January 25, 2007
* Group website: http://basesdatos.uc3m.es
* See full job description: http://basesdatos.uc3m.es/fileadmin/Investigacion/postdoc_MAVIR_2008_en.pdf

== Job Announcement: Computational Linguistics/Text Mining, Three three-year Postdoc positions, Macquarie University, Sydney, Australia ==

* Employer: Centre for Language Technology, Macquarie University, Sydney, Australia
* Title: Postdoctoral Research Fellow (three positions)
* Specialty: Ph.D. in Computational Linguistics or a related area. The project is funded by the Capital Markets Cooperative Research Centre, which recently received a renewal of its funding from the Australian Government. The aim of the project is to build a sophisticated platform for
exhaustive extraction from large text collections.
* Deadline: January 21 2008
* Date Posted: January 5, 2007
* Group website: http://www.clt.mq.edu.au
* Application process: Applications must be made online via the Macquarie University website at
http://www.hr.mq.edu.au/, where you can also find out more about the positions: search for position 19478 via the 'Positions Vacant' link.
* More information: Informal enquiries can be made to Robert Dale at rdale@ics.mq.edu.au.

== Job Announcement: Computational Linguistics, Assistant Professor-Tenure Track, San Jose State University, San Jose CA ==

* Employer: San Jose State University, Department of Linguistics & Language Development, San Jose CA, USA
* Title: Assistant Professor - Tenure Track
* Specialty: Ph.D. in linguistics with a specialization in Computational Linguistics. ABDs may be considered if doctorate is completed by August 2008. Required: Applicants must present evidence of teaching ability, scholarly activity and awareness of and sensitivity to the educational goals of a multicultural population as might have been gained in cross-cultural study, training, teaching, and other comparable experience.
* Deadline: February 1, 2008
* Date Posted: December 6, 2007
* Department website: http://linguistics.sjsu.edu
* See full job description at http://linguistics.sjsu.edu/pub/Public/WebHome/compling.pdf

== Job Announcement: 2 Research Associates, Institute for Language and Speech Processing, Athens, Greece ==

* Employer: Language Technology Applications Department, Institute for Language and Speech Processing, Athens, Greece
* Title: Research Associates, Full-time for up to 3 years.
* Specialty: Knowledge Representation and Reasoning, Machine Learning for Language Technology Applications respectively; experience with Ontologies and Multimedia Processing desirable
* Deadline: 15 December 2007
* Date Posted: 21 November, 2007
* [http://www.ilsp.gr/jobvacancy_eng.html/ More information]

== Job Announcement: Visiting Research Scientist/Post-Doctoral Fellow ==

* Employer: Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati OH, USA
* Title: Visiting Research Scientist or Post-Doctoral, Full-time for up to 2 years.
* Specialty: Natural Language Processing, experience with clinical text desired
* Deadline: Until filled
* Date Posted: December 18, 2007
* [http://computationalmedicine.org/ More information]

==Job Announcement: Assistant Professor, University of Maryland, College Park ==

The Department of Computer Science at the University of Maryland,
College Park, MD, USA invites applications for a position in Natural
Language Processing at the rank of assistant professor (tenure-track).

Applications from women and minority candidates are especially
welcome. Candidates with established research programs will be
considered for joint appointments between the Department and the
Institute for Advanced Computer Studies, the Department of Electrical
Engineering, and the Institute for Systems Research.

Candidates should submit their application (curriculum vitae and
research summary) online at: hiring.cs.umd.edu and have their
references upload their letters to that site. At least three research
letters and one teaching letter are required. We will begin the
review of candidates by January 14, 2008; therefore, we encourage your
early application.

Additional information about academic and research units within the
Department of Computer Science at the University of Maryland is
available on the World Wide Web at: http://www.cs.umd.edu and at
http://www.umiacs.umd.edu

The University of Maryland is an Equal Opportunity, Affirmative Action Employer.

Posted October 8, 2007.

==Job offer: Senior Software Engineer, Stanford CS department, Natural Language Processing group==

The Natural Language Processing Group ( http://nlp.stanford.edu/ ) at the Stanford Computer Science department is looking for a Senior NLP Software Engineer to work on the Stanford Intellectual Property Clearinghouse project.

The goal of the Stanford IP Clearinghouse project is to address the broken US Patent System by creating a publicly accessible database of all Intellectual Property documents and building a specialized Semantic Search Engine on top of it. The project will benefit individual inventors, high-tech and bio-tech companies involved in technology transfer, patent policy makers, and legal professionals.

The project provides a unique corpus for NLP research:

- Large collection of textual documents of multiple types
- IP domain provides rich imbedded structure within documents
- Many-to-many relationships between different document types

A few words on the Stanford Intellectual Property Clearinghouse:

- CS Professor Chris Manning is a technical advisor
- Intel, Oracle, Cisco, Genentech, SAP and others are funding the effort
- Currently we have $3 million in funding
- There will be an opportunity for commercial spin-offs (startups)

Responsibilities:

The candidate will work with Professor Chris Manning on the project. The main responsibility of the Senior Software Engineer is to architect and implement the NLP system. The candidate will also provide technical direction to the project.

Qualifications:

The ideal candidate must have a PhD or MS in Computer Science in the field of Natural Language Processing or Computational Linguistics. Candidate must also have 5+ years of work experience in building large-scale Natural Language Processing systems.

* Expert knowledge of Natural Language Processing field
* Expert knowledge of Machine Learning techniques and algorithms
* Expert knowledge of Graphical Models (Markov Random Fields, HMM, CRF, etc...)
* Knowledge of Semi-supervised Machine Learning algorithms and bootstrapping
* Expert programming skills in Java (5+ yrs of programming experience)
* Expert knowledge of design and architecture of large-scale NLP systems written in Java
* Experience with rapid development of large-scale NLP systems written in Java

Benefits:

* Challenging, fun and startup-like environment at Stanford University
* Opportunity to improve US Patent system and change the world
* There will be an opportunity for commercial spin-offs (startups)
* Full benefits (medical, dental, etc...)
* Relocation
* Telecommuting
* Industry competitive salary ($120K - $140K)

For more information contact:

George Grigoryev
Director of Project Engineering
Natural Language Processing & IR
Stanford Intellectual Property Clearinghouse
george.grigoryev (at) stanford (dot) edu

==Job offer: NLP/ML Researcher for Start Up, Cambridge, MA, USA==

'''Company Overview'''
HiveFire is an early stage funded start up located in Kendall Square in Cambridge, MA. HiveFire is in the online news space specializing in technology involving machine learning, natural language processing, information retrieval and human computer interaction. Current team consists of MIT alumni with engineering and research experience at Google, Microsoft, and several start-ups.

'''Location:''' Cambridge, MA

'''Description'''
HiveFire is seeking to hire a talented individual with research experience in Natural Language Processing (NLP) and/or Machine Learning.

* Ability to design, implement and evaluate sophisticated machine learning and text analysis models.
* Solid understanding of both unsupervised and supervised approaches.
* Familiarity with NLP tasks including but not limited to: summarization, document clustering, co-reference resolution, discourse analysis, transfer learning, text mining, document classification and natural language generation.

'''Education'''
Graduate degree in Computer Science is preferred.

'''Compensation'''
We offer competitive salary and equity with benefits such as paid vacation and health/dental insurance.

'''Website and Contact:''' http://www.hivefire.com

'''Date Posted:''' July 19, 2007

==Job offer: Post-Doc in NLP, Darmstadt University, Germany==

* Ubiquitous Knowledge Processing Group, Dept. of Telecooperation, Darmstadt University, Germany
* Post-Doc
* Natural Language Processing related to Web 2.0 / eLearning as an application domain
* open until filled
* 01/01/2007
* gurevych (at) tk (dot) informatik (dot) tu-darmstadt (dot) de, http://www.ukp.tu-darmstadt.de/node/76

==Job offer: Sr Text Analytics Developer, RiverGlass, Chicago or Champaign, IL, USA==

See full job description at http://www.riverglassinc.com/about/view_career.php?showID=9

RiverGlass, Inc. is seeking extremely talented and energetic innovators to help us perfect and advance our text analytics. We are creating some highly innovative applications that leverage sophisticate text and data analytics, and information visualizations to help customers in a variety of markets, ranging from homeland security and law enforcement to financial services.

* Expert-level understanding of information extraction, summarizaiton, classification, clustering, tone/sentiment analysis, etc.
* Experience in creation and exploitation of domain and task ontologies in text analytics a plus
* open until filled, multiple positions
* pcarroll (at) riverglassinc (dot) com, http://www.riverglassinc.com/about/view_career.php?showID=9

==Job offer: Postdoctoral position, Stony Brook University, Stony Brook, NY, USA==

Postdoctoral Position Available -- News/Blog Analysis

The Lydia project builds a relational model of people, places, and other
entities through natural language processing of news sources and the
statistical analysis of entity frequencies and co-locations. This model
can be used to identify trends and other information flows through this
entity network. Please visit http://www.textmap.org/ to see our analysis
of recent news and blog postings obtained from over 500 daily online news
sources.

Lydia gives us a way to measure the temperature of the political, economic,
and cultural world. We track hundreds of thousands different entities
arising in these news sources. We establish temporal and regional biases
in interest, by analyzing the frequency and positive/negative sentiment
of these entity references. We identify relationships between news entities,
resulting in a massive network where the vertices represent news entities,
with pairs of entities linked if there is a substantive relationship between
them.

A two-year postdoctoral position (potentially extensible to three years or
beyond) is now available to join our team. I am looking for someone with a
background in either:

(1) natural language processing,
(2) text mining or data mining,
(3) graph algorithms and the science of networks, or
(4) data analysis or visualization.

The applicant will be expected to use their expertise to improve the quality
of our analysis, and help manage a team of roughly ten graduate students
as we shift our focus beyond technological issues to questions of what this
data means and how we can best exploit it.

Applicants *must* be U.S. citizens who will receive their Ph.D. in
Computer Science, Linguistics, Economics, or a related field no later than
August 2007. If interested, please send your vita and contact information
electronically to skiena@cs.sunysb.edu or by mail to:

Steven Skiena
Department of Computer Science
Stony Brook University
Stony Brook, NY 11794-4400
http://www.cs.sunysb.edu/~skiena

== Job Opening: Postdoctoral Researcher in Natural Language Processing, IBM T.J. Watson Research Center, New York, USA ==

The Semantic Analysis and Integration department at the IBM T.J. Watson Research Center is seeking a post-doctoral researcher on its open-domain question answering project. The project focuses on developing general and reusable QA technologies to achieve reproducible high-performing results in open-domain and specialized-domain question answering. This project offers the opportunity to work with more than 20 IBM researchers with backgrounds in NLP, IR, KR&R, and DB across multiple IBM research labs, as well as the opportunity to collaborate with our university partners. The responsibilities of the post-doc researcher will focus on developing effective techniques for leveraging multiple parsers to better match questions and passages for answer scoring purposes.

The successful candidate should have the following qualifications:

* Ph.D. in Computational Linguistics
* Demonstrated experience in statistical NLP techniques, parsing, and semantic analysis
* Strong Java programming skills

Interested candidates should contact Jennifer Chu-Carroll by emailing jencc (at) us (dot) ibm (dot) com.

Employment opportunities, postdoctoral positions, summer jobs

2008-11-20T08:45:32Z

Lspecia:

Please post your job ad below. Jobs are listed in chronological order of posting. Please remove your posting when the position is filled. Please include the following information:

* Employer
* Rank or Title
* Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
* Deadline
* Date Posted
* Contact email or link to website

See also the [http://linguistlist.org/jobs/index.html Linguist Job List].

== Internship on Textual Entailment Applied to Statistical Machine Translation, Xerox Research, Grenoble - France ==

Contact:

Lucia Specia: lucia.specia@xrce.xerox.com
Marc Dymetman: marc.dymetman@xrce.xerox.com
http://www.xrce.xerox.com/internships/LS-MD.TE-SMT_2009.2008.html

Description:

The main research lines within the Cross Language Technologies (CLT) area at XRCE are Statistical Machine Translation, Cross-Lingual Information Retrieval and Machine Learning Techniques for Cross-Lingual Applications. CLT is currently coordinating the European Project SMART (Statistical Multilingual Analysis for Retrieval and Translation) [http://www.smart-project.eu].

XRCE has received funding from the PASCAL-2 Network of Excellence [http://pascallin2.ecs.soton.ac.uk] for conducting, in partnership with Bar-Ilan University in Israel, a "Pump Priming" project on the topic of "Context Models for Textual Entailment and their Application to Statistical Machine Translation". One of the goals of the project is to investigate situations in which, while a translation system may not have enough knowledge to adequately translate a source text into a target text, it may be able to do so based on entailment rules learned from monolingual data.

We are looking for preferably one (in this case the internship would be for 10 months ) or two interns (in this case each internship would last 5 months with the first starting at the beginning of 2009) to work on this topic under the supervision of XRCE researchers, and in collaboration with our partners. The focus of the work will be on the following topics:

* Integration of existing paraphrase and entailment resources into SMT settings, and assessment of their applicability in this domain;
* Development (in collaboration with our partners) of novel models for assessing the validity of entailment rules in context and implementation of SMT-based modules that are able to exploit such rules;
* Methodology and measures for controlling the use of directional and bi-directional entailment rules in SMT;
* Use of entailment knowledge for evaluating the performance of SMT systems.

The ideal candidate will be a strong Master or Ph.D. student with background in statistical machine translation and/or statistical methods in NLP. The candidate will be fluent in C/C++ and/or Python. Some knowledge and practice of Machine Learning models and tools will be a plus, as will be some previous acquaintance with work on Textual Entailment.

== Machine Learning Winter Internship, Google New York ==

We are looking for a masters or PhD student to work on a large ML infrastructure project at Google New York. Good coding abilities and graduate level course work or research experience in ML is desirable. This is a great opportunity to see machine learning and classification at work in a leading technology company.

The period of the internship will be for 3-6 months with a flexible starting date. If interested, please send an email to ryanmcd+wi@google.com with a resume and any date constraints you may have.

Ryan McDonald, Google Research, New York

== Research Position at Stanford CSLI: Robust Dialogue Understanding and Dialogue Management ==

The Center for the Study of Language and Information (CSLI) at Stanford University is seeking a Research Scientist to work on multimodal spoken-language dialogue systems, starting as soon as possible, preferably 1 September 2008.

The ideal candidate is a Computational Linguist with an interest in the computational semantics and pragmatics of dialogue, with experience in formally-inspired and/or statistical/machine-learning approaches to natural language processing and dialogue modeling. The position requires a Ph.D. in computational linguistics, natural language processing, artificial intelligence, cognitive science, or a related field. Applicants should have a demonstrated capacity to define and implement a research plan, and to conduct individual and collaborative research consonant with the dialogue-systems projects underway at CSLI.

Current research into dialogue at CSLI includes human-human, human-computer and human-robot dialogue modeling, and employs a variety of techniques, including symbolic and stochastic, theory and data-driven. Proficiency in multiple approaches relevant to current CSLI application areas will be highly valued, as will an ability to participate in implementation.

Research topics of particular interest include:
* robust semantic interpretation from noisy data (e.g. fragment parsing, role detection);
* robust context-based pragmatic interpretation (e.g. anaphora/ellipsis/fragment resolution, dialogue act detection);
* multi-party discourse modeling (e.g. group decision-making, collaborative task planning, addressee detection);
* multimodal dialogue management;
* multimodal incremental processing;
* probabilistic dialogue state/activity modeling and tracking.

The successful candidate will work with faculty, postdoctoral, and student researchers in the Dialogue Systems Group at CSLI, performing novel research and developing core infrastructure for natural multimodal conversational systems for a range of interactions and applications. Responsibilities will include supervising student research assistants and participating in proposal-preparation to attract new funding.

The CSLI Dialogue Systems Group consists of about fifteen people, and is involved in a number of projects including close collaboration with other Stanford departments, numerous other academic institutions, government agencies such as NASA, not-for-profit research organizations such as SRI, and various commercial enterprises. Current projects include: understanding multi-party conversational interaction; speech-enabled intelligent tutoring systems; collaborative control of teams of robotic devices; and situated human-robot interaction.

The position is initially for 1 year, renewable for up to 3 years (contingent on continued funding). Salary is dependent on qualifications and experience, but is expected to be in a range starting from $70,000 for a junior appointee, to $90,000 for a senior appointee.

Applicants should submit a letter of application and a full resume or curriculum vitae with names and email addresses of at least three references. Please contact [http://godel.stanford.edu/twiki/bin/view/Public/WebHome Stanley Peters] and [http://www.stanford.edu/~raquelfr/ Raquel Fernandez] ({peters,raquelfr}@csli.stanford.edu) for further information.

Stanford University is an equal opportunity, affirmative action employer.

== Job Announcement: Programmer Analyst - Text and Speech Annotation Support, Linguistic Data Consortium, Philadelphia, USA ==

* Employer: Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
* Title: Programmer Analyst (full-time position)
* Specialty: Corpus Creation, Text and Speech Annotation Support
* New Deadline: Aug 15, 2008 (open until filled)
* Date Posted: July 28, 2008
* LDC website: http://www.ldc.upenn.edu
* See full job description: http://linguistlist.org/jobs/get-jobs.cfm?JobID=57140&SubID=185481

== Job Announcement: Research Statistician - Data Mining Applications Development, Cary, NC ==

'''Employer:''' SAS Institute, Inc.

'''Title:''' Research Statistician - Data Mining Applications Development-08002151

'''Specialty:''' Computational Linguistics

'''Deadline:''' Until Filled

'''Date Posted:''' June 30, 2008

'''Website:''' [http://www.sas.com www.sas.com]

'''Research Statistician - Data Mining Applications Development-08002151'''

'''Description'''

As a member of the SAS Enterprise Miner Development team, you will develop state-of-the-art algorithms to solve problems in text and data mining.

Your primary responsibility will be to develop algorithms to analyze tone and sentiment in textual documents, and to develop learning techniques to perform Boolean rule induction for textual categorization. In this role, you will collaborate with applications developers, senior statistical researchers, product marketing, systems engineers, and technical support personnel; and work with testing and documentation staff to develop test plans and contribute to product documentation. You will also research data mining applications; plan and develop implementations; and author papers and presentations on your work.

'''Qualifications'''

'''Essential'''

• Ph.D. degree in statistics, computational linguistics, computer science, or a related quantitative field

'''Equivalent Essential'''

• Master's degree in statistics, computational linguistics, computer science or a related quantitative field

• 2 years of experience developing statistical algorithms

'''Additional'''

• Excellent interpersonal and problem-solving skills

• Excellent written and verbal communication skills

• Ability to work independently, as well as with a team

• Knowledge of predictive modeling methods and applications

'''Preferences'''

• 3 years of experience developing statistical algorithms

• 2 years of experience programming in C

• Experience with SQL programming in relational database environments

• Experience with SAS platform technologies, such as Stored Process Development

'''Additional Information'''

The level of this position will be determined based upon the applicant's education, skills and experience.

Resumes may be considered in the order they are received.

'''Job:''' Software R&D

'''Primary Location:''' US-NC-Cary

'''Organization:''' SAS Institute Inc.

'''Classification:''' Full-time

== Job Announcement: Postdoctoral Researcher in Natural Language Processing, School of Informatics, University of Edinburgh ==

'''POST-DOCTORAL RESEARCHER IN NATURAL LANGUAGE PROCESSING'''

'''Job Details'''

*Job Reference 3009188
*Department Informatics
*Job Title Research Associate
*Job Function Academic
*Job Type Fixed Term: 36 months
*Expiry Date 15 July 2008
*Salary Scale GBP 28,290-33,779

'''Job Description'''

The School of Informatics at the University of Edinburgh invites
applications for the post of researcher on the project ``Global
Inference for Summarization Using Integer Linear Programming'', funded
by the EPSRC. This project will design and implement novel models for
summarization that break away from the sentence extraction
paradigm. The overall aim is to utilize global inference algorithms
for the summarization task and demonstrate their superiority over
traditional local optimization methods.

The position is suitable for a candidate with a PhD in Natural
Language Processing, computer science, mathematics, or a related
discipline. The successful applicant will have strong programming
skills and experience with natural language processing techniques and
machine learning. Experience with summarization and/or optimization
methods is also desirable. He or she will be responsible for
developing summarization models (both extractive and abstractive)
within a global inference framework evaluation and for their
evaluation. The starting date will be 01 September 2008, or as soon as
possible thereafter.

Informal inquiries can be made by email to Mirella Lapata
(mlap@inf.ed.ac.uk). Further particulars for this position can be
found at:

http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3009188

The closing date for applications is 15 July 2008. Please submit your
application online at the URL given above or in hardcopy to the
following address, quoting job reference 3009188:

Ms. Avril Heron
HCRC, University of Edinburgh
2 Buccleuch Place
Edinburgh EH8 9LW
United Kingdom
School of Informatics

== Job Announcement: Natural Language Processing expert, Market Sentinel Ltd, London, UK ==

* Employer: Market Sentinel Ltd, 9 Wigton Place, London SE11 4AN, UK +44 (0) 20 7793 1575
* Title: Natural Language Processing expert (contract)
* Deadline: May 30, 2008 (open until filled)
* Date Posted: May 14th, 2008
* Market Sentinel website: http://www.marketsentinel.com
* We're a London-based company with a focus on social network analysis.
* We offer a rare opportunity to join a young, fast-growing company.
* The raw materials we process are online conversations, so we're looking for someone with expertise in natural language processing to join our team.
* Our aim is to improve the ability of our platform to understand the text it encounters.
* We're looking for a smart, self-motivated problem-solver whose keen to apply computational linguistics technology to the real world.
* Knowledge of agile software development on a Linux platform would be helpful, as would experience of Python, Java, Perl and XML processing.
* As we're an agile team, we like eloquent people who can communicate as well with other people as they can with machines.
* We want more than just a developer, someone who can research problems, identify solutions and implement them. Your talents will help construct an emerging enterprise. If such challenges excite you, we'd love to hear from you.

* Mail a CV to joinmarketsentinel [AT] gmail [DOT} com or call us to know more on the number above

== Job Announcement: Programmer Analyst - Arabic Treebank, Linguistic Data Consortium, Philadelphia, USA ==

* Employer: Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
* Title: Programmer Analyst (full-time position)
* Specialty: Corpus Creation, Arabic Treebank
* New Deadline: August 15, 2008 (open until filled)
* Date Posted: April 9, 2008
* LDC website: http://www.ldc.upenn.edu
* See full job description: http://linguistlist.org/jobs/get-jobs.cfm?JobID=53141&SubID=174250

== Job Announcement: Post-Doc in NLP, Universidad Carlos III, Madrid, Spain ==

* Employer: Database Group, Universidad Carlos III de Madrid, Spain
* Title: Postdoctoral Research Fellow
* Specialty: PhD in Computer Science, Computational Linguistics, Information Science, Knowledge Management or similar fields. Position is funded by MAVIR (Improving the accessibility and visibility of multilingual information in Internet for the Region of Madrid, http://www.mavir.net )
* Deadline: February 15 2008
* Date Posted: January 25, 2007
* Group website: http://basesdatos.uc3m.es
* See full job description: http://basesdatos.uc3m.es/fileadmin/Investigacion/postdoc_MAVIR_2008_en.pdf

== Job Announcement: Computational Linguistics/Text Mining, Three three-year Postdoc positions, Macquarie University, Sydney, Australia ==

* Employer: Centre for Language Technology, Macquarie University, Sydney, Australia
* Title: Postdoctoral Research Fellow (three positions)
* Specialty: Ph.D. in Computational Linguistics or a related area. The project is funded by the Capital Markets Cooperative Research Centre, which recently received a renewal of its funding from the Australian Government. The aim of the project is to build a sophisticated platform for
exhaustive extraction from large text collections.
* Deadline: January 21 2008
* Date Posted: January 5, 2007
* Group website: http://www.clt.mq.edu.au
* Application process: Applications must be made online via the Macquarie University website at
http://www.hr.mq.edu.au/, where you can also find out more about the positions: search for position 19478 via the 'Positions Vacant' link.
* More information: Informal enquiries can be made to Robert Dale at rdale@ics.mq.edu.au.

== Job Announcement: Computational Linguistics, Assistant Professor-Tenure Track, San Jose State University, San Jose CA ==

* Employer: San Jose State University, Department of Linguistics & Language Development, San Jose CA, USA
* Title: Assistant Professor - Tenure Track
* Specialty: Ph.D. in linguistics with a specialization in Computational Linguistics. ABDs may be considered if doctorate is completed by August 2008. Required: Applicants must present evidence of teaching ability, scholarly activity and awareness of and sensitivity to the educational goals of a multicultural population as might have been gained in cross-cultural study, training, teaching, and other comparable experience.
* Deadline: February 1, 2008
* Date Posted: December 6, 2007
* Department website: http://linguistics.sjsu.edu
* See full job description at http://linguistics.sjsu.edu/pub/Public/WebHome/compling.pdf

== Job Announcement: 2 Research Associates, Institute for Language and Speech Processing, Athens, Greece ==

* Employer: Language Technology Applications Department, Institute for Language and Speech Processing, Athens, Greece
* Title: Research Associates, Full-time for up to 3 years.
* Specialty: Knowledge Representation and Reasoning, Machine Learning for Language Technology Applications respectively; experience with Ontologies and Multimedia Processing desirable
* Deadline: 15 December 2007
* Date Posted: 21 November, 2007
* [http://www.ilsp.gr/jobvacancy_eng.html/ More information]

== Job Announcement: Visiting Research Scientist/Post-Doctoral Fellow ==

* Employer: Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati OH, USA
* Title: Visiting Research Scientist or Post-Doctoral, Full-time for up to 2 years.
* Specialty: Natural Language Processing, experience with clinical text desired
* Deadline: Until filled
* Date Posted: December 18, 2007
* [http://computationalmedicine.org/ More information]

==Job Announcement: Assistant Professor, University of Maryland, College Park ==

The Department of Computer Science at the University of Maryland,
College Park, MD, USA invites applications for a position in Natural
Language Processing at the rank of assistant professor (tenure-track).

Applications from women and minority candidates are especially
welcome. Candidates with established research programs will be
considered for joint appointments between the Department and the
Institute for Advanced Computer Studies, the Department of Electrical
Engineering, and the Institute for Systems Research.

Candidates should submit their application (curriculum vitae and
research summary) online at: hiring.cs.umd.edu and have their
references upload their letters to that site. At least three research
letters and one teaching letter are required. We will begin the
review of candidates by January 14, 2008; therefore, we encourage your
early application.

Additional information about academic and research units within the
Department of Computer Science at the University of Maryland is
available on the World Wide Web at: http://www.cs.umd.edu and at
http://www.umiacs.umd.edu

The University of Maryland is an Equal Opportunity, Affirmative Action Employer.

Posted October 8, 2007.

==Job offer: Senior Software Engineer, Stanford CS department, Natural Language Processing group==

The Natural Language Processing Group ( http://nlp.stanford.edu/ ) at the Stanford Computer Science department is looking for a Senior NLP Software Engineer to work on the Stanford Intellectual Property Clearinghouse project.

The goal of the Stanford IP Clearinghouse project is to address the broken US Patent System by creating a publicly accessible database of all Intellectual Property documents and building a specialized Semantic Search Engine on top of it. The project will benefit individual inventors, high-tech and bio-tech companies involved in technology transfer, patent policy makers, and legal professionals.

The project provides a unique corpus for NLP research:

- Large collection of textual documents of multiple types
- IP domain provides rich imbedded structure within documents
- Many-to-many relationships between different document types

A few words on the Stanford Intellectual Property Clearinghouse:

- CS Professor Chris Manning is a technical advisor
- Intel, Oracle, Cisco, Genentech, SAP and others are funding the effort
- Currently we have $3 million in funding
- There will be an opportunity for commercial spin-offs (startups)

Responsibilities:

The candidate will work with Professor Chris Manning on the project. The main responsibility of the Senior Software Engineer is to architect and implement the NLP system. The candidate will also provide technical direction to the project.

Qualifications:

The ideal candidate must have a PhD or MS in Computer Science in the field of Natural Language Processing or Computational Linguistics. Candidate must also have 5+ years of work experience in building large-scale Natural Language Processing systems.

* Expert knowledge of Natural Language Processing field
* Expert knowledge of Machine Learning techniques and algorithms
* Expert knowledge of Graphical Models (Markov Random Fields, HMM, CRF, etc...)
* Knowledge of Semi-supervised Machine Learning algorithms and bootstrapping
* Expert programming skills in Java (5+ yrs of programming experience)
* Expert knowledge of design and architecture of large-scale NLP systems written in Java
* Experience with rapid development of large-scale NLP systems written in Java

Benefits:

* Challenging, fun and startup-like environment at Stanford University
* Opportunity to improve US Patent system and change the world
* There will be an opportunity for commercial spin-offs (startups)
* Full benefits (medical, dental, etc...)
* Relocation
* Telecommuting
* Industry competitive salary ($120K - $140K)

For more information contact:

George Grigoryev
Director of Project Engineering
Natural Language Processing & IR
Stanford Intellectual Property Clearinghouse
george.grigoryev (at) stanford (dot) edu

==Job offer: NLP/ML Researcher for Start Up, Cambridge, MA, USA==

'''Company Overview'''
HiveFire is an early stage funded start up located in Kendall Square in Cambridge, MA. HiveFire is in the online news space specializing in technology involving machine learning, natural language processing, information retrieval and human computer interaction. Current team consists of MIT alumni with engineering and research experience at Google, Microsoft, and several start-ups.

'''Location:''' Cambridge, MA

'''Description'''
HiveFire is seeking to hire a talented individual with research experience in Natural Language Processing (NLP) and/or Machine Learning.

* Ability to design, implement and evaluate sophisticated machine learning and text analysis models.
* Solid understanding of both unsupervised and supervised approaches.
* Familiarity with NLP tasks including but not limited to: summarization, document clustering, co-reference resolution, discourse analysis, transfer learning, text mining, document classification and natural language generation.

'''Education'''
Graduate degree in Computer Science is preferred.

'''Compensation'''
We offer competitive salary and equity with benefits such as paid vacation and health/dental insurance.

'''Website and Contact:''' http://www.hivefire.com

'''Date Posted:''' July 19, 2007

==Job offer: Post-Doc in NLP, Darmstadt University, Germany==

* Ubiquitous Knowledge Processing Group, Dept. of Telecooperation, Darmstadt University, Germany
* Post-Doc
* Natural Language Processing related to Web 2.0 / eLearning as an application domain
* open until filled
* 01/01/2007
* gurevych (at) tk (dot) informatik (dot) tu-darmstadt (dot) de, http://www.ukp.tu-darmstadt.de/node/76

==Job offer: Sr Text Analytics Developer, RiverGlass, Chicago or Champaign, IL, USA==

See full job description at http://www.riverglassinc.com/about/view_career.php?showID=9

RiverGlass, Inc. is seeking extremely talented and energetic innovators to help us perfect and advance our text analytics. We are creating some highly innovative applications that leverage sophisticate text and data analytics, and information visualizations to help customers in a variety of markets, ranging from homeland security and law enforcement to financial services.

* Expert-level understanding of information extraction, summarizaiton, classification, clustering, tone/sentiment analysis, etc.
* Experience in creation and exploitation of domain and task ontologies in text analytics a plus
* open until filled, multiple positions
* pcarroll (at) riverglassinc (dot) com, http://www.riverglassinc.com/about/view_career.php?showID=9

==Job offer: Postdoctoral position, Stony Brook University, Stony Brook, NY, USA==

Postdoctoral Position Available -- News/Blog Analysis

The Lydia project builds a relational model of people, places, and other
entities through natural language processing of news sources and the
statistical analysis of entity frequencies and co-locations. This model
can be used to identify trends and other information flows through this
entity network. Please visit http://www.textmap.org/ to see our analysis
of recent news and blog postings obtained from over 500 daily online news
sources.

Lydia gives us a way to measure the temperature of the political, economic,
and cultural world. We track hundreds of thousands different entities
arising in these news sources. We establish temporal and regional biases
in interest, by analyzing the frequency and positive/negative sentiment
of these entity references. We identify relationships between news entities,
resulting in a massive network where the vertices represent news entities,
with pairs of entities linked if there is a substantive relationship between
them.

A two-year postdoctoral position (potentially extensible to three years or
beyond) is now available to join our team. I am looking for someone with a
background in either:

(1) natural language processing,
(2) text mining or data mining,
(3) graph algorithms and the science of networks, or
(4) data analysis or visualization.

The applicant will be expected to use their expertise to improve the quality
of our analysis, and help manage a team of roughly ten graduate students
as we shift our focus beyond technological issues to questions of what this
data means and how we can best exploit it.

Applicants *must* be U.S. citizens who will receive their Ph.D. in
Computer Science, Linguistics, Economics, or a related field no later than
August 2007. If interested, please send your vita and contact information
electronically to skiena@cs.sunysb.edu or by mail to:

Steven Skiena
Department of Computer Science
Stony Brook University
Stony Brook, NY 11794-4400
http://www.cs.sunysb.edu/~skiena

== Job Opening: Postdoctoral Researcher in Natural Language Processing, IBM T.J. Watson Research Center, New York, USA ==

The Semantic Analysis and Integration department at the IBM T.J. Watson Research Center is seeking a post-doctoral researcher on its open-domain question answering project. The project focuses on developing general and reusable QA technologies to achieve reproducible high-performing results in open-domain and specialized-domain question answering. This project offers the opportunity to work with more than 20 IBM researchers with backgrounds in NLP, IR, KR&R, and DB across multiple IBM research labs, as well as the opportunity to collaborate with our university partners. The responsibilities of the post-doc researcher will focus on developing effective techniques for leveraging multiple parsers to better match questions and passages for answer scoring purposes.

The successful candidate should have the following qualifications:

* Ph.D. in Computational Linguistics
* Demonstrated experience in statistical NLP techniques, parsing, and semantic analysis
* Strong Java programming skills

Interested candidates should contact Jennifer Chu-Carroll by emailing jencc (at) us (dot) ibm (dot) com.