Difference between revisions of "Employment opportunities, postdoctoral positions, summer jobs"

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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* Archived postings:
 
* Archived postings:
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** [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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** [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
 
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==Internship position available in Natural Language Processing at Adobe Research==
 +
* Employer: Adobe Systems Incorporated
 +
* Title: NLP Scientist Intern
 +
* Natural Language Processing, Machine Learning, Dialog Systems.
 +
* Location: San Jose, CA
 +
* Deadline: open until the position is filled
 +
* Date Posted: February 24, 2015
 +
* Trung Bui: bui@adobe.com
  
−
== Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities ==
+
'''Description''':
 +
We are looking for an NLP scientist intern who will work on exploring deep learning for mapping between natural language queries and logic form and/or SQL.
  
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* Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
+
'''Key Qualifications'''
−
* Title: Research Intern
+
*Experience with semantic parsing, dialog systems.
−
* Specialty: Natural Language Processing / Text Mining / Digital Humanities
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*Experience with machine learning, deep learning.
−
* Location: Darmstadt/Frankfurt am Main, Germany
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*Good programming skills in Java and/or Python
−
* Deadline: Until filled
 
−
* Date Posted: January 20, 2014
 
−
* Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de
 
  
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'''Job Description:'''
+
'''Education'''
 +
M.S. or PhD student in Computer Science or related field
  
−
The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as
+
'''Additional Requirements'''
 +
No.
  
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* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities
+
== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==
  
−
located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)
+
*Employer:  University of Notre Dame
 +
*Job Number:  4015639
 +
*Date Posted:  02/17/2015
 +
*Application Deadline: Open Until Filled
 +
*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639
  
−
The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.
+
'''Job Description'''
  
−
The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.  
+
The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.
  
−
'''Requirements:'''
+
The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.
  
−
We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.  
+
The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.
  
−
We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.  
+
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, develop leadership skills by mentoring students, and gain expertise in authoring collaborative grant proposals.
  
 +
'''Required'''
  
−
'''How to Apply:'''
+
(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas
  
−
Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.
+
'''Desired'''
  
 +
(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students
  
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'''Information about the institute:'''
+
For more information see the application link above.
  
−
The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.
+
== Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation==
 +
*Employer: Macquarie Group
 +
*Title: Software Engineer/NLG Specialist
 +
*Specialties: Natural Language Generation, Application Development, Linguistics
 +
*Location: Sydney, Australia
 +
*Date posted: 29 January 2015
 +
*Contact information: andy.logan@macquarie.com
 +
*Online application: http://www.careers.macquarie.com/cw/en/job/923649/software-engineers-nlpnlg-programming-equities-research
  
 +
'''Job Description'''
 +
*Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
 +
*New Systems Implementation with Opportunity to push the envelope within Research
 +
*Permanent Opportunity – Sydney CBD Location
  
−
== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
+
'''About the role'''
  
−
* Employer: The German Institute for International Educational Research (DIPF)
+
We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.
−
* Title: Research Scientist
 
−
* Specialty: Automated Language Processing / Text Mining / Digital Humanities
 
−
* Location: Frankfurt am Main, Germany
 
−
* Deadline: February 14, 2014
 
−
* Date Posted: January 13, 2014
 
−
* Contact email: gurevych (at) dipf (dot) de
 
  
−
'''Information about the institute:'''
+
'''Key Responsibilities'''
 +
*Design and Develop our first NLG/NLP Application within Equities Research
 +
*Work closely with the vendor to understand the application limitations and functionality
 +
*Drive the development with the Head of Research as well as industry analysts
 +
*Mature the offering and look for further areas of development within the business
  
−
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
+
'''About You'''
  
−
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.
+
To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:
  
 +
*Tenacity to produce different If Statements and to develop the platform further
 +
*Strong interest in Artificial Intelligence/Machine Based Learning.
 +
*Keen interest in finance
 +
*Self Starter and strong attention to detail to really drive uptake of the platform
  
−
'''Job Description:'''
+
This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: '''macquarie.com/career'''
  
−
At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an
+
If you meet the above requirements, please apply via the following link.  Alternatively to find out more about the position and a confidential discussion, please contact '''Andy Logan on 02 8237 8472 or andy.logan@macquarie.com'''
  
−
* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)
+
== PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)==
 +
*Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
 +
*Title: PostDoc
 +
*Specialties: Natural Language Processing, Networks, Databases, Machine Learning
 +
*Location: Heidelberg, Germany
 +
*Deadline: 20 February 2015
 +
*Date posted: 29 January 2015
 +
*Contact information: michael.strube (at) h-its.org
 +
*Online application: https://application.h-its.org/intern/register.php?id=o51kdq1
  
−
The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in  textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).
+
'''Job Description'''
 +
PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany
  
−
The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.
+
One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.
  
−
The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for  the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).
+
The candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.
  
−
We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).
+
HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.
  
−
Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.  
+
The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.  
  
−
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
+
To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)
  
−
'''Requirements:'''
+
Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).
  
−
* Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
 
−
* Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
 
−
* Very good English language skills (written and spoken) and at least basic knowledge of German;
 
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* Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;
 
  
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Experience in automated language processing, text mining or digital humanities is preferred.
+
==Postdoc position in Cardiff (NLP, IR, machine learning)==
 +
*Employer: Cardiff University
 +
*Title: Postdoc
 +
*Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
 +
*Location: Cardiff, UK
 +
*Deadline: 3 February 2015
 +
*Date posted: 9 January 2015
 +
*Contact information: SchockaertS1@cardiff.ac.uk
  
−
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.
+
'''Job Description'''
  
 +
Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.
  
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'''How to apply:'''
+
The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.
  
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Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
+
'''Essential criteria'''
  
 +
*Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) 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, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data  Engineering).
 +
*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.
  
 +
'''Desirable criteria'''
  
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== Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
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*Knowledge of statistical natural language processing.
 +
*Knowledge of unsupervised and semi-supervised learning.
 +
*Knowledge of relation extraction.
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*Experience with analysing large text corpora using a high-performance computing environment.
 +
*Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.
  
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* Employer: The German Institute for International Educational Research (DIPF)
+
'''More information'''
−
* Title: Research Scientist
+
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.
−
* Specialty: scientific coordination and transfer in computer science, knowledge and language processing
 
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* Location: Frankfurt am Main, Germany
 
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* Deadline: February 14, 2014
 
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* Date Posted: January 13, 2014
 
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* Contact email: gurevych (at) dipf (dot) de
 
  
−
'''Information about the institute:'''
+
==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
 +
*Employer: Allen Institute for Artificial Intelligence (AI2)
 +
*Title: Post-doc/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 2015
 +
*Date posted: 12/9/2014
 +
*Contact information: ai2-info@allenai.org, allenai.org
  
−
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
+
'''Job Description'''
  
−
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.
+
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 Post Docs and 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.  
  
−
'''Job Description:'''
+
'''Position Summary'''
  
−
At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a
+
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
 +
*Diagram understanding
  
−
* Research Scientist (two-year contract, full time, EG13 TV-H*)
+
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 the 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.
  
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for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.
+
'''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, or question answering and explanation.  We look favorably upon extensive work experience demonstrating application of your research.
  
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The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013  at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education.  The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.
+
'''Application Process'''
  
−
The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.
+
All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.
  
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The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web.  
+
==Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)==
−
We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management.
+
* Employer: Apple Inc.
 +
* Title: Language Understanding / Dialog Scientist
 +
* Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
 +
* Location: Cupertino, CA
 +
* Deadline: rolling
 +
* Date Posted: December 2, 2014
 +
* Thomas Kollar: tkollar@apple.com
  
−
A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.  
+
'''Description''':
 +
Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience.
  
−
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
+
'''Key Qualifications'''
 +
*Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing.
 +
*Experience with supervised, weakly-supervised and unsupervised machine learning algorithms.
 +
*Exceptional analytical, troubleshooting and problem solving skills
 +
*Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash).
 +
*Strong software engineering skills
 +
*Experience working with multilingual datasets
 +
*Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus
  
 +
'''Description'''
 +
You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment.
  
−
'''Requirements:'''
+
'''Education'''
 +
M.S. or PhD in Computer Science or related field
  
−
- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain;
+
'''Additional Requirements'''
−
- Very good English language skills (written and spoken) and at least basic skills in German;
+
2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.
−
- Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate;
 
−
- Experience in coordinating distributed software development and its Integration;
 
−
- Experience in conceptualising and conducting events for scientists, users, and the public.
 
−
- Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.
 
  
−
Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.
+
==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
 +
* Employer: The Ohio State University
 +
* Title: Assistant/Associate/Full Professor
 +
* Specialty: open, two positions in Data Analytics
 +
* Location: Columbus, OH, USA
 +
* Deadline: January 31, 2015 (Consideration starts November 2014)
 +
* Date Posted: November 17, 2014
 +
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi
  
−
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.  
+
The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.
  
 +
Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.
  
−
'''How to apply:'''
+
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
  
−
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
+
Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.
  
 +
To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
  
−
== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==
+
Review of applications will begin in November 2014 and will continue until the positions are filled.
  
−
* Employer: Institute of Information Science, Academia Sinica
+
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
−
* Rank or Title: Assistant/Associate/Full Research Fellow
 
−
* Specialty: Chinese Natural Language Processing and Knowledge Representation
 
−
* Location: Taipei, Taiwan
 
−
* Deadline: Open until filled
 
−
* Date Posted: January 7, 2014
 
−
* Contact email: recruit@iis.sinica.edu.tw
 
−
 
 
−
'''Job Description:'''
 
−
 
 
−
The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.
 
−
 
 
−
Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.
 
−
 
 
−
Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.
 
−
 
 
−
For additional information about IIS, please visit http://www.iis.sinica.edu.tw
 
−
 
 
−
'''Required Qualifications:'''
 
−
 
 
−
All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.
 
−
 
 
−
Fluency in Chinese is an advantage, but not required.
 
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
All candidates should send detailed curriculum vitae, and at least three letters of recommendation to
 
−
 
 
−
Dr. Wen-Lian Hsu, Director
 
−
 
 
−
Institute of Information Science
 
−
 
 
−
Academia Sinica
 
−
 
 
−
Nankang 115, Taipei, Taiwan
 
−
 
 
−
TEL: 886-2-2788-3799ext.1804
 
−
 
 
−
FAX:886-2-2782-4814
 
−
 
 
−
E-mail: recruit@iis.sinica.edu.tw
 
−
 
 
−
== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==
 
−
 
 
−
* Employer: Johns Hopkins University
 
−
* Rank or Title: Postdoctoral Fellow
 
−
* Specialty: Computational Linguistics/Cognitive Science
 
−
* Location: Baltimore, MD, USA
 
−
* Deadline: February 17, 2014 or until filled
 
−
* Date Posted: January 7, 2014
 
−
* Contact email: INSPIREpostdoc@jhu.edu
 
−
 
 
−
'''Brief Job Description:'''
 
−
 
 
−
Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.
 
−
 
 
−
The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.
 
−
 
 
−
Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics
 
−
 
 
−
'''Detailed Job Description:'''
 
−
 
 
−
The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.
 
−
 
 
−
The ideal appointee will conduct development and extensive testing of:
 
−
 
 
−
* general-purpose software to support symbolic-level computation over gradient symbol structures
 
−
 
 
−
* general-purpose software for simulating neural network implementations of this gradient symbolic computation
 
−
 
 
−
* new machine-learning algorithms, including deep compositional networks
 
−
 
 
−
* new theories of compositional vector-space semantics and new neural-network architectures for implementing them
 
−
 
 
−
* new psycholinguistic models of human syntactic production and comprehension processes
 
−
 
 
−
Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.
 
−
 
 
−
The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.
 
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.
 
−
 
 
−
Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.
 
−
 
 
−
== Postdoc in Automatic Speech Recognition and Dialog-Centered Natural Language Understanding  ==
 
−
 
 
−
* Employer: University of Notre Dame
 
−
* Rank or Title: Postdoctoral Researcher
 
−
* Specialty: Speech recognition, Dialogue, Natural Language Understanding
 
−
* Location: South Bend, Indiana
 
−
* Deadline: Open until filled
 
−
* Date Posted: Dec 6, 2013
 
−
* Contact email: aolney at memphis.edu
 
−
 
 
−
'''Brief Job Description:'''
 
−
 
 
−
The successful candidate will conduct research in automatic speech recognition and dialog-centered natural language understanding. He/she will participate in the design, development, and exploration of innovative methods, algorithms and techniques that bridge acoustic/language modeling and dialogue-focused natural language understanding on real-world, multi-party speech data collected in educational contexts.
 
−
 
 
−
The position is for two years (providing renewal based on Year 1 performance) starting as early as February 1, 2014. Possible extension to a third year based on availability of funds. Start date is negotiable.
 
−
Competitive salary with benefits commensurate with qualifications.
 
−
 
 
−
'''Required Qualifications:'''
 
−
 
 
−
* Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field
 
−
* Research experience in one or more of the following research areas (automatic speech recognition, natural language understanding, or related area of natural language processing)
 
−
* A solid publication track record in one or more of the aforementioned areas
 
−
* Ability to work both individually and as a member of an interdisciplinary team
 
−
* Ability to mentor graduate and undergraduate students
 
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
Applicants should email (1) cover letter, (2) current CV, and (3) name, title, and contact information of three references to Kristopher Kopp (kristopherkopp at gmail.com). Inquires may be addressed to Sidney D’Mello (sdmello at nd.edu) and Andrew Olney (aolney at memphis.edu).
 
−
 
 
−
'''About Us:'''
 
−
 
 
−
Further information on the Computer Science department can be found at http://cse.nd.edu/.
 
−
 
 
−
== TTS Language Engineer - Arabic, Hebrew, Indonesian, Turkish, Employment Agency contracting for Google, London, UK  ==
 
−
 
 
−
* Employer: Employment agency contracting for Google
 
−
* Rank or Title: TTS Language Engineer (4) positions - Arabic, Hebrew, Indonesian, Turkish
 
−
* Specialty: TTS, Computational Linguistics
 
−
* Location: London, UK
 
−
* Deadline: Open until filled
 
−
* Date Posted: November 21, 2013; Updated December 17, 2013
 
−
* Contact email: tts_jobs at google.com
 
−
 
 
−
'''Brief Job Description:'''
 
−
 
 
−
You will be helping with technical tasks involved in creating a speech
 
−
synthesiser. This includes:
 
−
 
−
1. Developing rules for a text normalisation system;
 
−
2. Large scale data mining;
 
−
3. Customising language building tools for either Arabic, Hebrew, Indonesian or Turkish
 
−
4. TTS quality evaluation
 
−
 
 
−
'''Preferred Qualifications:'''
 
−
 
 
−
1. Recent CS or Computational Linguistics graduate or closely related
 
−
discipline
 
−
2. Native-level speaker of either Arabic, Hebrew, Indonesian or Turkish and fluent in English:
 
−
3. Proficiency in Unix/Python/C++
 
−
4. Interest in data mining and natural language processing a plus
 
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
This is an opportunity to work on cutting edge technology in a dynamic team
 
−
of world-class experts. This is a temporary position for 9 months, with a
 
−
possibility of extension. The position is based in London.
 
−
 
 
−
For immediate consideration please send your CV and Cover Letter to tts_jobs at google.com
 
−
 
 
−
For more information, please contact tts_jobs at google.com
 
−
 
 
−
== Postdoctoral Fellow, Bioinformatics Technology Lab, BC Genome Sciences Centre  ==
 
−
 
 
−
* Employer: British Columbia Cancer Agency
 
−
* Rank or Title: Postdoctoral Fellow
 
−
* Specialty: natural language processing, machine learning
 
−
* Location: Vancouver, BC, Canada
 
−
* Deadline: Open until filled
 
−
* Date Posted: November 18, 2013
 
−
* Contact email:  bcgscjobs@bcgsc.ca
 
−
 
 
−
'''Brief Job Description:'''
 
−
 
 
−
The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics Technology Lab to conduct scientific research in the areas of bioinformatics and genomics, specifically related to automated analysis and annotation of cancer research literature.
 
−
 
 
−
The successful applicant will work with trainees and research scientists in a team that develops tools for a clinical genomics pipeline based on primary sequence analysis, to build machine learning tools that interpret identified mutations for their biological significance as they relate to reports in the relevant literature.
 
−
 
 
−
'''Duties:'''
 
−
 
 
−
Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your typical duties will include the following:
 
−
 
 
−
• Building machine learning tools for automated literature survey
 
−
 
 
−
• Analysis and annotation of data from genome and transcriptome sequencing projects
 
−
 
 
−
• Collaborating with biologists and clinical researchers on the accuracy of the results
 
−
 
 
−
• Reporting research methods and results in meetings, seminars and conferences
 
−
 
 
−
• Contribution to and leading scientific publications and research proposals
 
−
 
 
−
Work may also involve travel to the research and development labs of a US corporation, not to exceed three months a year.
 
−
 
 
−
'''Required Qualifications:'''
 
−
 
 
−
The ideal candidate should possess a PhD degree and recent proven experience in bioinformatics or computer science. A strong publication record in the field, and demonstrated technical writing skills are highly desirable.
 
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
Please send your resume with cover letter to bcgscjobs@bcgsc.ca
 
−
 
 
−
We request that you specify the position you are applying for by identifying the Job Code only ("PDFBTL 13-11-01") in the subject line of your emailed application.
 
−
 
 
−
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.
 
−
 
 
−
'''About Us:'''
 
−
 
 
−
Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.
 
−
 
 
−
For more information, please visit www.bcgsc.ca
 
−
 
 
−
== Graduate Studentship, Bioinformatics Technology Lab, BC Genome Sciences Centre  ==
 
−
 
 
−
* Employer: British Columbia Cancer Agency
 
−
* Rank or Title: Graduate Student
 
−
* Specialty: natural language processing, machine learning
 
−
* Location: Vancouver, BC, Canada
 
−
* Deadline: Open until filled
 
−
* Date Posted: November 18, 2013
 
−
* Contact email:  ibirol@bcgsc.ca
 
−
 
 
−
'''Brief Description:'''
 
−
 
 
−
Bioinformatics Technology Lab at the Genome Sciences Centre is seeking graduate students at the Masters and PhD levels.
 
−
Under the supervision of Dr. Inanc Birol, students will work with other trainees and research scientists in a group environment to develop cutting-edge bioinformatics technologies for high throughput sequence analysis, de novo assembly, clinical genomics, big data visualization, and automated literature search and interpretation.
 
−
 
 
−
'''Required Qualifications:'''
 
−
 
 
−
If you have any combination of the following skills, and a passion to apply them at a state-of-the-art genome centre, we would be interested in you.
 
−
 
 
−
• Sophisticated programming skills (C++ and Python preferred)
 
−
 
 
−
• Parallel computation expertise (MPI or MP)
 
−
 
 
−
• Strong natural language processing background (familiarity with argumentation frameworks an asset)
 
−
 
 
−
• Experience with de novo assembly tools (ABySS and Trans-ABySS preferred)
 
−
 
 
−
• Graph theory background
 
−
 
 
−
• Database development and administration experience (PostgreSQL or MySQL)
 
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
Please send your cover letter, CV and transcripts to ibirol@bcgsc.ca
 
−
 
 
−
Successful students will be registered at either CIHR’s Bioinformatics Training Program or Medical Genetics Graduate Program at the University of British Columbia.
 
−
 
 
−
'''About Us:'''
 
−
 
 
−
Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.
 
−
 
 
−
For more information, please visit www.bcgsc.ca
 
−
 
 
−
== Postdoc job available in neural decoding of language, University of Rochester ==
 
−
 
 
−
* Employer: University of Rochester
 
−
* Rank or Title: Postdoctoral Research Fellow
 
−
* Specialty: Models of semantic composition, semantic similarity, machine learning
 
−
* Location: Rochester, NY, USA
 
−
* Deadline: Open until filled
 
−
* Date Posted: November 7, 2013
 
−
* Contact email: rajeev dot raizada at gmail dot com
 
−
 
 
−
'''Brief Job Description:'''
 
−
 
 
−
A postdoctoral position is available in the Department of Brain & Cognitive Sciences at the University of Rochester in the lab of Rajeev Raizada (http://raizadalab.org).
 
−
 
 
−
The position will concentrate on the neural decoding of language, in particular the semantic representation of words embedded in sentences. Experience in some or all of the following areas would be ideal: computational linguistics (especially models of the semantic composition of multiple words into phrases and sentences), natural language processing, multivoxel pattern-based fMRI analysis, machine learning (especially kernels or similarity-based approaches). Experience with Matlab or some other scientific programming language (e.g. SciPy, R) is required.
 
−
 
 
−
'''Required Qualifications:'''
 
−
 
 
−
Applicants must have a PhD in linguistics, psychology, computer science, neuroscience or a related field. Salary will be on the standard NIH postdoc payscale. The position is available immediately and has funding for a two year period, although it could potentially be extended beyond that time if mutually agreed and if additional funding is obtained.
 
−
 
 
−
'''How to apply:'''
 
−
 
 
−
To apply, please send a description of your research interests, a CV, the names of three referees, and weblinks to representative publications to rajeev dot raizada at gmail dot com. Large files such as PDFs of papers should be sent as weblinks (e.g. to your publications webpage, or using Dropbox) rather than as e.mail attachments. Interviews can be conducted via Skype.
 
−
 
 
−
'''Information about the university and the department'''
 
−
 
 
−
The Department of Brain & Cognitive Sciences at the University of Rochester (http://www.bcs.rochester.edu) has a strong focus on computational and statistical studies of neural representations, and has researchers working in language, vision, computation, development and neuroimaging. The Rochester Center for Brain Imaging (http://rcbi.rochester.edu) has a research-dedicated 3T Siemens Trio scanner.
 
−
 
 
−
== Post-doctoral Research Fellow - Nanyang Technological University, Singapore ==
 
−
 
 
−
* Employer: Nanyang Technological University
 
−
* Rank or Title: Post-doctoral Research Fellow
 
−
* Specialty: Natural Language Processing, Semantic Web
 
−
* Location: Singapore
 
−
* Deadline: Will be open until filled
 
−
* Date Posted: November 2, 2013
 
−
* Contact email: jungjae.kim@ntu.edu.sg
 
−
 
 
−
'''Brief Job Description:'''
 
−
 
 
−
The Natural Language Processing group in the School of Computer Engineering, Nanyang Technological University, Singapore has an opening for a post-doctoral researcher in the areas of ontology engineering and text mining, funded by Rolls-Royce@NTU Corporate Laboratory.
 
−
 
 
−
The position involves applying scientific, technical and software engineering skills to conduct research on ontology learning, ontological annotation on informal text, and semantic indexing and search and the development of prototypes demonstrating the successful application of the research.
 
−
 
 
−
'''Required Qualifications:'''
 
−
 
 
−
A Ph. D. in Computational Linguistics, Computer Science, or a related discipline with specialization in text mining and/or ontology engineering. Independent research experiences and experiences in developing and deploying text mining and/or ontology engineering technology capabilities in an academic or industrial environment are expected.
 
−
 
 
−
'''How to apply:'''
 
−
 
 
−
Please send a copy of your resume, along with a cover letter, to Jung-jae Kim <jungjae.kim@ntu.edu.sg>
 
−
 
 
−
==  Assistant Professor Position - Computational Linguistics/Language Science - Rochester Institute of Technology ==
 
−
 
 
−
* Employer: Rochester Institute of Technology
 
−
* Rank or Title: Assistant Professor
 
−
* Specialty: Computational Linguistics/Language Science
 
−
* Location: Rochester, NY, USA
 
−
* Deadline: Review of applications will begin on November 25, 2013
 
−
* Date Posted: October 11, 2013
 
−
* Contact email: coagla@rit.edu
 
−
 
 
−
'''Brief Job Description:'''
 
−
 
 
−
The Department of English at the Rochester Institute of Technology invites applications for an Assistant Professor of English tenure-track position to begin August 13, 2014 with specialization in computational linguistics and/or innovative technical methods in language science, with a focus on one or more areas of application. Possible areas include:
 
−
 
 
−
* Cultural or social analytics
 
−
* Speech technology
 
−
* Human-computer communication
 
−
* Clinical, assistive, and/or access technology
 
−
* Cognitive modeling of linguistic processes (for example reading)
 
−
* Games and/or social media
 
−
 
 
−
The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on curricular and research initiatives in digital humanities and language science.
 
−
 
 
−
'''Detailed Job Description:'''
 
−
 
 
−
The successful applicant will be a teacher and a researcher with an agenda that emphasizes innovative technical methods in linguistics, for instance natural language processing, corpus-based studies, linguistic/multimodal sensors, speech technology, and/or other computational approaches. We are seeking a scholar who engages in disciplinary and interdisciplinary teamwork and has a coherent plan for grant seeking activities. The right candidate will contribute to our department’s profile in the digital humanities, in addition to furthering our interdisciplinary language science curriculum in a college of liberal arts at a technical university. Contributions that build students’ global education experiences are additionally valued.
 
−
 
 
−
Teaching assignments may include Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Advanced Topics in Computational Linguistics, Language & Brain, self-designed courses, and other courses in the linguistics or general education frameworks such as Dialects & Identity, Text & Code, or Evolving English Language. The course teaching load is 3/2.
 
−
 
 
−
We are seeking an individual who has the ability and interest in contributing to a community committed to Student Centeredness; Professional Development and Scholarship; Integrity and Ethics; Respect, Diversity and Pluralism; Innovation and Flexibility; and Teamwork and Collaboration. Select to view links to RIT’s [http://www.rit.edu/~w-policy/sectionA/corevalues.html core values], [http://www.rit.edu/studentaffairs/studentconduct/RITHonorCode1.htm honor code], and [http://finweb.rit.edu/humanresources/diversity/commitment.html diversity commitment]. 
 
−
 
 
−
'''The University and Rochester Community:'''
 
−
 
 
−
RIT is a national leader in professional and career-oriented education. Talented, ambitious, and creative students of all cultures and backgrounds from all 50 states and more than 100 countries have chosen to attend RIT.  Founded in 1829, Rochester Institute of Technology is a privately endowed, coeducational university with nine colleges and institutes emphasizing career education and experiential learning. With approximately 15,000 undergraduates and 3,000 graduate students, RIT is one of the largest private universities in the nation. RIT offers a rich array of degree programs in engineering, science, business, and the arts, and is home to the National Technical Institute for the Deaf. RIT has been honored by ''The Chronicle of Higher Education'' as a "Great Colleges to Work For" for four years. RIT is responsive to the needs of dual career couples by our membership in the [http://www.upstatenyherc.org/home/index.cfm?site_id=671 Upstate NY HERC].
 
−
 
 
−
Rochester, located on Lake Ontario, is the 79<sup>th</sup> largest city in the United States and the third largest city in New York State. The Greater Rochester region, which is home to nearly one million people, is rich in cultural and ethnic diversity, with a population comprised of approximately 16% African and Latin Americans and another 7% of international origin. It is also home to the largest deaf community per capita in the U.S.  Rochester ranks 3<sup>rd</sup> best metropolitan regions for Raising a Family" by ''Forbes Magazine''; 6<sup>th</sup> among 379 metropolitan areas as "Best Places to Live in America" by ''Places Rated Almanac''; 1<sup>st</sup> in ''Expansion Management Magazine''’s ranking of metropolitan areas having the best “Quality of Life in the Nation”; and is among ''Essence Magazine''’s "Top 10 Cities for Black Families."
 
−
 
 
−
'''Required Minimum Qualifications:'''
 
−
 
 
−
* Ph.D. in Linguistics (or an allied field) in hand prior to appointment date
 
−
* Advanced graduate coursework in language science and technical methods
 
−
* Evidence of outstanding teaching
 
−
* Experience teaching or mentoring diverse or multi-disciplinary students
 
−
* Evidence of publication and a coherent plan for research and grant seeking activities
 
−
* Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences.
 
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
Apply online at [http://careers.rit.edu/faculty http://careers.rit.edu/faculty]. Search: 797BR. Please submit your cover letter; CV; copy of transcripts of graduate coursework; a research statement; a teaching statement; writing sample/portfolio; [https://www.rit.edu/academicaffairs/facultyrecruitment/forms/Diversity_Statement_Guide_for_candidates_4-12.docx Contribution to Diversity Statement]; and the names, addresses and phone numbers for three references.
 
−
 
 
−
'''Contact:'''
 
−
 
 
−
Please direct questions to Dr. Cecilia Ovesdotter Alm at: <coagla@rit.edu> or (585) 475-7327.
 
−
 
 
−
'''Application Deadline:'''
 
−
 
 
−
Review of applications will begin on: November 25, 2013.
 

Revision as of 21:50, 1 March 2015

Internship position available in Natural Language Processing at Adobe Research

  • Employer: Adobe Systems Incorporated
  • Title: NLP Scientist Intern
  • Natural Language Processing, Machine Learning, Dialog Systems.
  • Location: San Jose, CA
  • Deadline: open until the position is filled
  • Date Posted: February 24, 2015
  • Trung Bui: bui@adobe.com

Description: We are looking for an NLP scientist intern who will work on exploring deep learning for mapping between natural language queries and logic form and/or SQL.

Key Qualifications

  • Experience with semantic parsing, dialog systems.
  • Experience with machine learning, deep learning.
  • Good programming skills in Java and/or Python

Education M.S. or PhD student in Computer Science or related field

Additional Requirements No.

Postdoc in Advanced Machine Learning (with an Emphasis on NLP)

Job Description

The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.

The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, develop leadership skills by mentoring students, and gain expertise in authoring collaborative grant proposals.

Required

(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas

Desired

(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students

For more information see the application link above.

Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation

Job Description

  • Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
  • New Systems Implementation with Opportunity to push the envelope within Research
  • Permanent Opportunity – Sydney CBD Location

About the role

We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.

Key Responsibilities

  • Design and Develop our first NLG/NLP Application within Equities Research
  • Work closely with the vendor to understand the application limitations and functionality
  • Drive the development with the Head of Research as well as industry analysts
  • Mature the offering and look for further areas of development within the business

About You

To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:

  • Tenacity to produce different If Statements and to develop the platform further
  • Strong interest in Artificial Intelligence/Machine Based Learning.
  • Keen interest in finance
  • Self Starter and strong attention to detail to really drive uptake of the platform

This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: macquarie.com/career

If you meet the above requirements, please apply via the following link. Alternatively to find out more about the position and a confidential discussion, please contact Andy Logan on 02 8237 8472 or andy.logan@macquarie.com

PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)

  • Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
  • Title: PostDoc
  • Specialties: Natural Language Processing, Networks, Databases, Machine Learning
  • Location: Heidelberg, Germany
  • Deadline: 20 February 2015
  • Date posted: 29 January 2015
  • Contact information: michael.strube (at) h-its.org
  • Online application: https://application.h-its.org/intern/register.php?id=o51kdq1

Job Description PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany

One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.

The candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.

HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.

The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.

To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)

Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).


Postdoc position in Cardiff (NLP, IR, machine learning)

  • Employer: Cardiff University
  • Title: Postdoc
  • Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
  • Location: Cardiff, UK
  • Deadline: 3 February 2015
  • Date posted: 9 January 2015
  • Contact information: SchockaertS1@cardiff.ac.uk

Job Description

Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.

The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.

Essential criteria

  • Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) 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, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data Engineering).
  • 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.

Desirable criteria

  • Knowledge of statistical natural language processing.
  • Knowledge of unsupervised and semi-supervised learning.
  • Knowledge of relation extraction.
  • Experience with analysing large text corpora using a high-performance computing environment.
  • Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.

More information For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.

Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence

  • Employer: Allen Institute for Artificial Intelligence (AI2)
  • Title: Post-doc/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 2015
  • Date posted: 12/9/2014
  • Contact information: ai2-info@allenai.org, allenai.org

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 Post Docs and 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
  • Diagram understanding

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 the 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, or question answering and explanation. We look favorably upon extensive work experience demonstrating application of your research.

Application Process

All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.

Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)

  • Employer: Apple Inc.
  • Title: Language Understanding / Dialog Scientist
  • Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
  • Location: Cupertino, CA
  • Deadline: rolling
  • Date Posted: December 2, 2014
  • Thomas Kollar: tkollar@apple.com

Description: Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience.

Key Qualifications

  • Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing.
  • Experience with supervised, weakly-supervised and unsupervised machine learning algorithms.
  • Exceptional analytical, troubleshooting and problem solving skills
  • Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash).
  • Strong software engineering skills
  • Experience working with multilingual datasets
  • Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus

Description You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment.

Education M.S. or PhD in Computer Science or related field

Additional Requirements 2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.

Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering

  • Employer: The Ohio State University
  • Title: Assistant/Associate/Full Professor
  • Specialty: open, two positions in Data Analytics
  • Location: Columbus, OH, USA
  • Deadline: January 31, 2015 (Consideration starts November 2014)
  • Date Posted: November 17, 2014
  • Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi

The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.

Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.

The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.

Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.

To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.

Review of applications will begin in November 2014 and will continue until the positions are filled.

The Ohio State University is an Equal Opportunity/Affirmative Action Employer.

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