https://aclweb.org/aclwiki/api.php?action=feedcontributions&user=Argamon&feedformat=atomACL Wiki - User contributions [en]2024-03-29T06:06:04ZUser contributionsMediaWiki 1.35.2https://aclweb.org/aclwiki/index.php?title=Journals&diff=12331Journals2018-11-11T20:12:40Z<p>Argamon: Added Frontiers in AI: Language and Computation</p>
<hr />
<div>This is a list of journals that may be suitable for publishing Computational Linguistics papers. <br />
<br />
See also:<br />
<br />
* [[Impact factors]]<br />
* [[Predatory publishers]]<br />
* [[Searching for papers]]<br />
* [[Conferences and workshops]]<br />
* [[Journals currently calling for papers]]<br />
<br />
<br />
== Artificial Intelligence ==<br />
<!-- Please keep this list in alphabetical order --><br />
<br />
* [http://tocl.acm.org/ ACM Transactions on Computational Logic]<br />
* [http://www.elsevier.com/wps/find/journaldescription.cws_home/505601/description Artificial Intelligence]<br />
* [https://www.frontiersin.org/journals/artificial-intelligence/sections/language-and-computation Frontiers in Artificial Intelligence: Language and Computation]<br />
* [http://www.computer.org/portal/site/intelligent// IEEE Intelligent Systems]<br />
* [http://www.computer.org/portal/site/transactions/index.jsp?pageID=tkde_home IEEE Transactions on Knowledge and Data Engineering]<br />
* [http://www.computer.org/portal/site/transactions/index.jsp?pageID=tpami_home IEEE Transactions on Pattern Analysis and Machine Intelligence]<br />
* [http://www3.interscience.wiley.com/cgi-bin/jhome/36062?CRETRY=1&SRETRY=0 International Journal of Intelligent Systems]<br />
* [http://www.jair.org Journal of Artificial Intelligence Research]<br />
* [http://www-unix.mcs.anl.gov/JAR/ Journal of Automated Reasoning]<br />
* [https://www.degruyter.com/view/j/jisys Journal of Intelligent Systems]<br />
* [http://logcom.oxfordjournals.org/ Journal of Logic and Computation]<br />
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== Cognitive Science and Psycholinguistics ==<br />
<!-- Please keep this list in alphabetical order --><br />
<br />
*[http://www.elsevier.com/wps/find/journaldescription.cws_home/505626/description Cognition]<br />
*[http://www.degruyter.de/rs/384_386_ENU_h.htm Cognitive Linguistics]<br />
*[http://www.cognitivesciencesociety.org/about.html Cognitive Science]<br />
*[http://www.trends.com/tics/ Trends in Cognitive Sciences]<br />
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== Computational Linguistics and Natural Language Processing ==<br />
<!-- Please keep this list in alphabetical order --><br />
<br />
* [http://www.acm.org/pubs/talip/ ACM Transactions on Asian Language Information Processing]<br />
* [http://tslp.acm.org ACM Transactions on Speech and Language Processing]<br />
* [http://www.mitpressjournals.org/loi/coli Computational Linguistics]<br />
* [http://www.elsevier.com/locate/csl Computer Speech & Language]<br />
* [http://www.euppublishing.com/journal/cor Corpora]<br />
* [http://www.degruyter.com/journals/cllt Corpus Linguistics and Linguistic Theory]<br />
* [https://www.frontiersin.org/journals/artificial-intelligence/sections/language-and-computation Frontiers in Artificial Intelligence: Language and Computation]<br />
* [http://link.springer.com/journal/10772 International Journal of Speech Technology]<br />
* [http://www.gelbukh.com/ijt International Journal of Translation]<br />
* [http://www.cscjournals.org/journals/IJCL/description.php International Journal of Computational Linguistics]<br />
* [http://www.gelbukh.com/ijcla International Journal of Computational Linguistics and Applications]<br />
* [http://www.jlcl.org/?language=en Journal for Language Technology and Computational Linguistics]<br />
* [http://jinr.site.uottawa.ca/ Journal of Interesting Negative Results in Natural Language Processing and Machine Learning]<br />
* [http://jlm.ipipan.waw.pl/ Journal of Language Modelling]<br />
* [http://www.springerlink.com/content/1572-9583 Journal of Logic, Language and Information]<br />
* [http://www.tandf.co.uk/journals/njql Journal of Quantitative Linguistics]<br />
* [http://www.springerlink.com/content/113189 Language Resources and Evaluation]<br />
* [http://www.linguamatica.com/ Linguamática]<br />
* [http://csli-publications.stanford.edu/LiLT Linguistic Issues in Language Technology]<br />
* [http://www.springerlink.com/content/1573-0573/ Machine Translation]<br />
* [http://journals.cambridge.org/action/displayJournal?jid=NLE Natural Language Engineering]<br />
* [http://www.nejlt.ep.liu.se/ Northern European Journal of Language Technology (NEJLT)]<br />
* [http://ufal.mff.cuni.cz/?a=pbml Prague Bulletin of Mathematical Linguistics]<br />
* [https://benjamins.com/#catalog/journals/rs/main Register Studies]<br />
* [https://link.springer.com/journal/11168 Research on Language and Computation (CEASED PUBLICATION 2010)]<br />
* [http://journal.sepln.org Procesamiento del Lenguaje Natural Journal]<br />
* [http://www.elsevier.com/locate/specom Speech Communication]<br />
* [https://www.atala.org/-Revue-TAL- Traitement Automatique des Langues]<br />
* [http://www.transacl.org/ Transactions of the Association for Computational Linguistics (TACL)]<br />
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== Information Retrieval, Information Science, and Information Systems ==<br />
<!-- Please keep this list in alphabetical order --><br />
<br />
* [http://www.acm.org/pubs/tois/ ACM Transactions on Information Systems]<br />
* [http://www.elsevier.com/wps/find/journaldescription.cws_home/244/description Information Processing & Management]<br />
* [http://www.springer.com/prod/j/1386-4564 Information Retrieval]<br />
* [http://www.elsevier.com/wps/find/journaldescription.cws_home/622846/description International Journal of Human-Computer Studies]<br />
* [http://www.springerlink.com/content/1433-2825/ International Journal on Document Analysis and Recognition]<br />
* [http://www.sign-ific-ance.co.uk/index.php/IJASAT International Journal on Islamic Applications in Computer Science And Technology]<br />
* [http://www.asis.org/Publications/JASIS/jasis.html Journal of the American Society for Information Science and Technology]<br />
* [http://www.springer.com/prod/j/0925-9902 Journal of Intelligent Information Systems]<br />
* [http://www.elsevier.com/wps/find/journaldescription.cws_home/671322/description Journal of Web Semantics]<br />
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== Linguistics ==<br />
<!-- Please keep this list in alphabetical order --><br />
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* [http://www.degruyter.de/rs/384_386_ENU_h.htm Cognitive Linguistics]<br />
* [http://www.degruyter.com/journals/cllt Corpus Linguistics and Linguistic Theory]<br />
* [http://icame.uib.no/journal.html International Computer Archive of Modern and Medieval English]<br />
* [https://benjamins.com/#catalog/journals/ijcl/main International Journal of Corpus Linguistics]<br />
* [http://journals.cambridge.org/action/displayJournal?jid=LIN Journal of Linguistics]<br />
* [http://www.tandf.co.uk/journals/njql Journal of Quantitative Linguistics]<br />
* [http://jos.oxfordjournals.org/ Journal of Semantics]<br />
* [http://www.lsadc.org/info/pubs-language.cfm Language]<br />
* [http://authors.elsevier.com/JournalDetail.html?PubID=505590&Precis= Lingua]<br />
* [http://www.mitpressjournals.org/loi/ling Linguistic Inquiry]<br />
* [http://www.springer.com/linguistics/journal/11049 Natural Language and Linguistic Theory]<br />
* [http://www.semprag.org/ Semantics & Pragmatics]<br />
* [http://www.ledonline.it/snippets/ Snippets]<br />
* [http://www.euppublishing.com/loi/word Word Structure]<br />
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== Machine Learning ==<br />
<!-- Please keep this list in alphabetical order --><br />
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* [http://www.jmlr.org Journal of Machine Learning Research]<br />
* [http://springerlink.metapress.com/content/1573-0565/ Machine Learning]<br />
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[[Category:Sources]]</div>Argamonhttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=10267Employment opportunities, postdoctoral positions, summer jobs2013-10-01T02:52:30Z<p>Argamon: Postdoctoral research scientist position posting</p>
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** [[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]]<br />
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==Postdoctoral Research Scientist - Illinois Institute of Technology Department of Computer Science (Chicago, IL)==<br />
<br />
* Employer: Illinois Institute of Technology<br />
* Title: Postdoctoral Research Scientist<br />
* Specialty: Computational Linguistics, Natural Language Processing, Computational Stylistics<br />
* Location: Chicago, IL, USA<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: September 30, 2013<br />
* Contact email: argamon@iit.edu<br />
<br />
'''Position Overview'''<br />
<br />
The Linguistic Cognition Laboratory (http://lingcog.iit.edu) at the Illinois Institute of Technology has an opening for a postdoctoral researcher (full-time) in natural language processing. The position is for work on a federally funded project on computational analysis of discourse structure and metaphor and their relationships to cognitive style and ideology. The ideal candidate will have expertise in several of the following areas: natural language processing, semantic text analysis, computational stylistics, discourse analysis, statistical parsing, social network analysis, and machine learning.<br />
<br />
Candidates should have a PhD in computer science, computational linguistics, cognitive science, or a related discipline and must be US citizens. The position will start as soon as it is filled, pending confirmation of funding. The initial term of the position will be for 12 months, potentially renewable to a total of 36 months depending on performance and continued funding. Salary will be commensurate with experience and expertise.<br />
<br />
'''To Apply'''<br />
<br />
Interested candidates should contact Shlomo Argamon at argamon@iit.edu and send a (PDF) CV, a statement of interest, and the names of two or more references.<br />
<br />
==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==<br />
<br />
* Employer: Nuance Communications, Inc.<br />
* Rank or Title: NLP Research Scientist<br />
* Specialty: Computational Linguistics, Natural Language Processing, Dialog Systems<br />
* Location: Sunnyvale, CA, USA<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: September 27, 2013<br />
* Contact email: Jennifer.Garvale@nuance.com <br />
<br />
'''General Description'''<br />
<br />
Nuance is the world-wide leader in voice technologies. We are now making substantial research and development investments to add natural language processing capabilities to our speech infrastructure. We are expanding our new Silicon Valley Natural Language Research laboratory. The goal of this group is to develop the next generation of intelligent, conversational agents. We seek research scientists with the following backgrounds:<br />
<br />
* Dialog processing<br />
* Discourse and anaphora resolution<br />
* Generation<br />
* Parsing <br />
* Entity recognition<br />
* Morphology<br />
* Multilingual NLP<br />
* Semantic interpretation<br />
<br />
'''Responsibilities'''<br />
<br />
* Ownership of a major component of the conversational system. <br />
* Conduct research on the dialog, generation, or reasoning components, and incorporate the latest advances from major conferences in the field. <br />
* Adapt existing components within Nuance and from previous research in the field to a new problem space and domain.<br />
* Understand the trade-offs between multiple competing approaches, and choose the ones that are likely to have future impact on the company's products. <br />
* Design components in a way that will generalize across domains. Minimize the code change and human effort needed for the system to work in a new domain.<br />
* Collaborate with other scientists and engineers inside and outside of the team.<br />
* Patent or publish experimental results or designs when appropriate. <br />
<br />
'''Education/Experience'''<br />
* Ph.D. in computer science, computational linguistics, linguistics, or another technical field with a focus on natural language processing.<br />
* Solid track record in both projects and publications for natural language processing.<br />
* Solid implementation skills in C++, Java, scripting languages. <br />
* Knowledge of both statistical and rule-based methods for natural language processing.<br />
<br />
<br />
Interested candidates should contact Jennifer Garvale at Jennifer.Garvale@nuance.com. For additional information about the technical aspects of the position, feel free to contact Joel Tetreault at Joel.Tetreault@nuance.com.<br />
<br />
<br />
<br />
== Short Term Post-Doc Position: Natural Language Processing (NLP), Phoenix, USA==<br />
<br />
Employer: Arizona State University, Tempe, AZ http://csc.asu.edu/<br />
* Rank or Title: Postdoctoral fellow<br />
* Specialty: Natural language processing and machine learning<br />
* Location: Tempe, AZ, USA<br />
* Deadline: August 21, 2013<br />
* Date Posted: August 8, 2013<br />
* Contact email: hdavulcu at asu,edu and steve.corman at asu,edu<br />
<br />
<br />
Position<br />
<br />
Seeking a Post-Doc with preparation in natural language processing (NLP), machine learning (ML) for quantitative text and discourse analysis at Center for Strategic Communication, Arizona State University, Tempe Campus.<br />
<br />
The project involves parsing large collection of English documents with a deep parser, extracting subject-verb-object triplets from sentences, and utilization of semantic information for event and story detection. Project also involves development of graph clustering based summarization tools for text.<br />
<br />
The Center is a fun, collaborative group providing many opportunities for learning, hands-on research and teamwork. We value having a diverse mix of people and we are committed to equal opportunity in employment.<br />
<br />
Candidates should have excellent English language skills (written and spoken), good communication skills, good programming skills (e.g., Java, C++, MATLAB, Python) and demonstrable ability to work with various open source NLP and ML tools and libraries.<br />
<br />
<br />
Requirements: PhD degree in Computer Science or Computational Linguistics<br />
<br />
Pay Rate: Competitive monthly salary.<br />
<br />
Term of employment: <br />
This is a Short-term, temporary position. <br />
Period between September 3, 2013 and February 28, 2014.<br />
<br />
Close Date:<br />
Initial close date is August 21, 2013. Applications will continue to be accepted and reviewed every week thereafter until search is closed.<br />
<br />
<br />
How to Apply: <br />
<br />
Please submit your information by email to hdavulcu at asu,edu and steve.corman at asu,edu <br />
E-mail subject line - “Natural Language Processing – Post-Doc application”.<br />
<br />
Information must have the following:<br />
* Cover Letter<br />
* CV <br />
* 2 or more professional references (name, addresses and phone numbers)<br />
<br />
== Postdoctoral Fellow Machine Reading, KU Leuven, Belgium==<br />
<br />
Employer: Katholieke Universiteit Leuven, Belgium http://www.kuleuven.be/<br />
* Rank or Title: Postdoctoral fellow<br />
* Specialty: Natural language processing and machine learning<br />
* Location: Leuven, Belgium<br />
* Deadline: July 5, 2013<br />
* Date Posted: June 9, 2013<br />
* Contact email: Sien.Moens@cs.kuleuven.be<br />
<br />
Position<br />
<br />
Applications are invited for the position of a postdoctoral research fellow specialized in natural language processing and machine learning to join the Language Intelligence and Information Retrieval group of Prof. Marie-Francine Moens at the Department of Computer Science at KU Leuven, Belgium.<br />
The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The MUSE project introduces a new way of exploring and understanding information by “bringing text to life” through 3D interactive storytelling. Taking as input natural language text like children’s stories or medical patient education materials, MUSE will process the natural language, translate it into formal knowledge that represents the actions, actors, plots and surrounding world, and then render these as virtual 3D worlds in which the user can explore the text through interaction, re-enactment and guided game play. The focus of the postdoctoral research at KU Leuven will be on semi-supervised and unsupervised models for machine reading (MR) when translating the content of text to knowledge representations. A possible additional focus is on scalable inference and learning. The position ideally starts September 1, 2013. Funding for this position is currently available for 2 years. <br />
<br />
Requirements<br />
<br />
Applicants have a PhD degree in computer science or related areas, and a strong background in NLP and machine learning. Research experience is desirable in one or more of the following fields: information extraction, semi- and unsupervised parsing, graphical models, structured learning, language modeling, and related domains. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.<br />
<br />
Information<br />
<br />
For more information contact Marie-Francine Moens, tel.: +3216325383, mail: sien.moens@cs.kuleuven.be.<br />
You can apply for the postdoctoral position by sending your CV and publication list to: sien.moens@cs.kuleuven.be.<br />
<br />
== Research Scientist Positions, NLP and Speech ==<br />
<br />
Employer: Educational Testing Service http://www.ets.org/<br />
* Rank or Title: Research Scientist<br />
* Specialty: Natural Language Processing<br />
* Location: Princeton, NJ or San Francisco, CA<br />
* Deadline: Until position is filled<br />
* Date Posted: 22 May 2013<br />
* Contact email: dyanchuk@ets.org<br />
<br />
<br />
Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in educational research. As an innovator in developing achievement and occupational tests for clients in business, education, and government, we are determined to advance educational excellence for the communities we serve.<br />
<br />
<br />
ETS Research & Development has openings for Research Scientists at all levels in Natural Language Processing and Speech Group. The ongoing projects in this group focus on natural language processing for topics including automated evaluation of writing and speaking assessments. ETS aims to expand these current research directions, as well as pursuing groundbreaking research in new areas:<br />
* The incoporation of interactive tasks into assessment environments, using technologies for dialog management and analysis.<br />
* The automated induction of rhetorical structures from student responses, including argumentation strategies, narrative organization, and topical analyses.<br />
* Automated analysis of process data related to student performance on immersive assessment tasks (such as in a game-based environment).<br />
<br />
<br />
This is an excellent opportunity to be a part of a research and development team and have a significant impact on existing and next generation assessments.<br />
<br />
<br />
'''PRIMARY RESPONSIBILITIES'''<br />
<br />
<br />
• Pursue or collaborate in interdisciplinary projects, transferring techniques to a new context or connecting scientific fields that are usually separate. Successful candidates are self-motivated and self-driven, and have a strong interest in emerging technology that can contribute to education in assessment and instructional settings.<br />
<br />
• Provide scientific and technical skills to conceptualize, design, obtain support for, conduct, and manage new research projects, grants, or parts of existing projects.<br />
<br />
• Generate or contribute to new or modified methods that support research and development in the automated analysis of student responses as well as other written or spoken materials relevant in assessment and instructional settings.<br />
<br />
• Design and conduct scientific studies, functioning as an expert in the major facets of the projects; respond as a subject matter expert in presenting the results of acquired knowledge and experience. Consult and collaborate on problems arising from research and/or testing programs, or corporate management concerns.<br />
<br />
• Develop or assist in developing proposals for external and internal research grants and obtain financial support for new or continuing research activities. Prepare initial and final proposal and project budgets.<br />
<br />
• Participate in dissemination activities through the publications of research papers in peer-reviewed journals and in the ETS Research Report series, the issuing of progress and technical reports, the presentation of seminars at major conferences and at ETS, or the use of other appropriate communication vehicles, including books and chapters, that impact practice in the field or at ETS.<br />
<br />
• Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
• Consult on ETS projects or external contracts that related to the research focus of the group.<br />
<br />
<br />
'''Required Experience:''' <br />
<br />
<br />
'''REQUIREMENTS FOR A JUNIOR LEVEL POSITION'''<br />
<br />
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member.<br />
<br />
'''REQUIREMENTS FOR A MID-LEVEL POSITION'''<br />
<br />
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Three years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.<br />
<br />
'''REQUIREMENTS FOR A SENIOR-LEVEL POSITION'''<br />
<br />
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Eight years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.<br />
<br />
<br />
About the Center for Assessment Innovation: The NLP and Speech Group focuses on automated scoring of text and speech, support for technologically-enhanced assessment methods, and the application of NLP and speech technology to educational problems generally. The group builds partnerships and collaborations with other institutions. External grants are pursued, and internally-funded fundamental research and capability development is also supported.<br />
<br />
<br />
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.<br />
<br />
== Research Assistant Positions, NLP ==<br />
<br />
Employer: Educational Testing Service http://www.ets.org/<br />
* Rank or Title: Research Assistant<br />
* Specialty: Natural Language Processing<br />
* Location: Princeton, NJ <br />
* Deadline: Until position is filled<br />
* Date Posted: 22 May 2013<br />
* Contact email: dyanchuk@ets.org<br />
<br />
<br />
ETS Research & Development has an opening for a Research Assistant in the Natural Language Processing Group. A primary focus of the area is to contribute to externally-funded projects as well as provide service to the program areas of ETS, including new applications of automated scoring technologies. The successful candidate will contribute to internal projects aimed at developing assessment and automated scoring innovations. The successful candidate will also contribute to external projects aimed at developing methodologies to support natural language processing technologies.<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
<br />
'''Project Management/Leadership'''<br />
<br />
Complete Linguistic annotations of text, develop and apply scoring schemes to short answer responses, assist research scientitsts in constructing models and documenting procedures.<br />
<br />
Coordinate discrete phases of research projects (e.g., scheduling, testing, data collection, coding, and/or analysis activities of support and field staff).<br />
<br />
Recruit, contact, and select potential research sites and subjects. Schedule meetings with school personnel, research subjects, and outside groups.<br />
<br />
Schedule services with other ETS departments, staff and vendors.<br />
<br />
Assist in arranging meetings with clients, committees, and consultants, as well as seminars and workshops. Attend meetings, take notes, and maintain records.<br />
<br />
Research Design, Data Collection and Analysis<br />
<br />
Assist in developing and refining research instruments.<br />
<br />
Assist in developing procedures for data collection. Edit and proof coding systems and manuals.<br />
<br />
Administer research instruments such as assessments, surveys, observations, and interviews.<br />
<br />
Instruct support staff on procedures for data collection, data entry and check work.<br />
<br />
Organize and prepare data for entry; Clean and recode data from existing datasets; Perform basic coding of new data.<br />
<br />
Perform basic data analyses; Compile simple results.<br />
<br />
Prepare charts, tables, figures, and graphics for reports and presentations.<br />
<br />
<br />
'''Communication'''<br />
<br />
Conduct literature searches and prepare reference lists with brief summaries of articles, including logic models.<br />
<br />
Conduct searches of current educational practices, policies, reforms, and competitors to inform development, grant and proposal writing, etc.<br />
<br />
Prepare initial drafts of study results. Edit and proofread research reports, proposals, websites, and external communication.<br />
<br />
Assist in developing presentations and present as part of a team.<br />
<br />
Experience in using scholarly search engines, conducting literature searches, and writing research summaries or results.<br />
<br />
Experience in using data analyses software.<br />
<br />
<br />
'''Required Experience:''' <br />
<br />
<br />
'''EDUCATION'''<br />
<br />
A Bachelor's degree in linguistics or a closely related field, with coursework in statistics or research methods, phonetics & phonology, syntax & semantics, and/or language acquisition is necessary.<br />
<br />
'''EXPERIENCE'''<br />
<br />
Six months of research-related experience is necessary.<br />
<br />
Knowledge of introductory research methodology and statistics sufficient to analyze and interpret research study results.<br />
<br />
<br />
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.<br />
<br />
<br />
<br />
== Senior Research Scientist - Xerox Research Centre Europe ==<br />
<br />
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/<br />
* Rank or Title: Senior Research Scientist<br />
* Specialty: Statistical Natural Language Processing, Machine Learning<br />
* Location: Grenoble, France<br />
* Deadline: 31 July 2013 or until position is filled<br />
* Date Posted: 2 May 2013<br />
* Contact email: James.Henderson@xrce.xerox.com<br />
<br />
'''Position Description'''<br />
<br />
The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning for NLP. The ideal candidate would have experience or knowledge of parsing, information extraction, weak supervision, textual entailment, and combining machine learning with expert knowledge. Awareness of the healthcare domain is a plus. The applicant should have a strong publication record and good coding skills. The seniority of the appointment will depend on qualifications.<br />
<br />
The successful candidate will be expected to identify challenging problems, develop novel solutions, and work with business and development teams to ensure that these solutions have a significant impact. Senior researchers are expected to also lead research projects. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide. <br />
<br />
The Parsing & Semantics group concentrates on automatically understanding text using syntactic and semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in statistical models that exploit many sources of information, such as context, corpora, domain knowledge, knowledge bases, and task performance. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems. Our general application focus is on converting unstructured text into structured information, including facts and opinions. The solutions we develop play a key role in Xerox's next generation document and business process outsourcing services in domains such as customer care, health care, financial services, and market analysis.<br />
<br />
XRCE is located in Grenoble, France, in the heart of the French Alps. Grenoble offers an excellent quality of life and a large scientific community. For more information, please see http://www.xrce.xerox.com/About-XRCE/Career-opportunities/Senior-Research-Scientist-in-Statistical-Natural-Language-Processing.<br />
<br />
'''Requirements''' <br />
<br />
* PhD in Computer Science or Computational Linguistics<br />
* NLP knowledge and experience<br />
* Machine learning knowledge or experience <br />
* Strong publication record<br />
* Programming skills <br />
* Strong written and oral communications skills in English<br />
<br />
'''Application instructions '''<br />
<br />
Applications will be considered as they are received. To ensure that an application receives full consideration it should be submitted by '''July 31, 2013'''. Applications will be considered beyond this date until the position is filled.<br />
<br />
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com. <br />
<br />
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation. <br />
<br />
<br />
== Internship Opportunities in Qatar Computing Research Institute (QCRI) ==<br />
<br />
* Employer: Qatar Computing Research Institute (http://www.qcri.qa)<br />
* Rank or Title: Intern/Research associate/Research assistant<br />
* Specialty: Information retrieval, text mining, natural language processing<br />
* Location: Doha, Qatar<br />
* Deadline: May 31, 2013<br />
* Date Posted: March 15, 2013<br />
* Contact email: kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa<br />
<br />
'''POSITION DESCRIPTION'''<br />
<br />
The NLP/IR group at the Qatar Computing Research Institute (QCRI) is looking for 3 interns to work on a project that involves the search and visualization of social content (e.g. tweets, Facebook posts and comments). Underlying technologies for the project include information retrieval, text mining, and natural language processing.<br />
<br />
'''INTERNSHIP TASKS INCLUDE'''<br />
* Development of effective techniques for information filtering from social media<br />
* Diversity analysis, categorization, and summarization of search results<br />
* Development of effective techniques for processing the social Arabic/English language for real-time indexing and search<br />
* Web design/development of visualization schemes for social search results<br />
* Conducting project-related research work supervised by scientists in the team<br />
<br />
'''EXPECTED APPLICANTS SHOULD BE/HAVE'''<br />
* PhD/Master students in computer science or related field<br />
* At least 1-year research experience<br />
* Familiarity with open-source search engines and large-scale text processing (e.g. Lucene, Solr, Casandra, and Hadoop) is desirable.<br />
* Background in social network analysis and/or natural language processing is a plus<br />
* Basic knowledge of Arabic language can help but is not mandatory<br />
* Web development/design experience is essential for one of the positions (fresh graduates are encouraged to apply for this position)<br />
<br />
'''INTERNSHIP NATURE'''<br />
<br />
Interns are expected to contribute novel ideas and techniques to the project. The interns will have the opportunity to tap massive amount of data and to release their work in a public facing site. It is highly encouraged to publish the performed research work in top tier conferences. Also, novel ideas are potentially filed as patents. <br />
<br />
Prospective interns are expected to spend between 3 to 6 months in QCRI. During the period, the intern is provided with free fully-serviced accommodation, a car for transportation (driving license is required), and a competitive tax-free salary paid on a monthly bases. Internship can start anytime during the year.<br />
<br />
'''ABOUT QCRI'''<br />
<br />
Qatar Computing Research Institute (QCRI) was established in 2010 by Qatar Foundation for Education, Science and Community Development (http://www.qf.org.qa), a private, non-profit organization that is supporting Qatar’s transformation from traditionally carbon-based economy to sustainably knowledge-based one.<br />
<br />
QCRI supports Qatar Foundation’s mission by helping to build Qatar’s innovation and technology capacity. It is focused on tackling large-scale computing challenges that address national priorities for growth and development. In doing this, QCRI conducts world-class multidisciplinary computing research that is relevant to the needs of Qatar, the wider Arab region, and the world. We perform cutting-edge research in such areas as Arabic language technologies, social computing, data analytics, distributed/cloud computing and so on. The research work we are conducting at QCRI is aligned with the Qatar National Research Strategy, and supports the strategic priorities outlined in Qatar National Vision 2030.<br />
<br />
'''APPLICATION'''<br />
<br />
Please send CV to kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa. Alternatively, you can apply at http://qcri.qa/join-us/apply-now/apply-now<br />
<br />
For more information, please visit: <br />
http://www.qcri.qa<br />
http://qcri.qa/our-research/arabic-language-technologies<br />
<br />
<br />
== Postdoctoral fellow -- KU Leuven ==<br />
<br />
* Employer: Department of Computer Science, KU Leuven, Belgium<br />
* Rank or Title: Postdoctoral fellow<br />
* Specialty: Information extraction, natural language understanding, machine reading<br />
* Location: Leuven, Belgium<br />
* Deadline: Until position fills<br />
* Date Posted: April 13, 2013<br />
* Contact email: Sien.Moens@cs.kuleuven.be<br />
<br />
'''Position description'''<br />
The Language Intelligence and Information Retrieval group, which is part of the Department of Computer Science at KU Leuven (http://www.cs.kuleuven.be/groups/liir/), has an open postdoctoral position for a motivated researcher with interest and expertise in information extraction from text. The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The candidate is holder of a PhD degree, and can show his or her expertise through several publications in major conferences or journals in the fields of computational linguistics, machine learning and/or artificial intelligence.<br />
The position will be for two years starting in the Summer of 2013 or earlier. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team. <br />
<br />
'''Application instructions '''<br />
<br />
Please send your application to Marie-Francine Moens (Sien.Moens@cs.kuleuven.be).<br />
<br />
<br />
'''Other considerations'''<br />
<br />
Situated in the heart of Western Europe, KU Leuven has been a centre of learning for almost six centuries. KU Leuven is a research-intensive, internationally oriented university that carries out both fundamental and applied research. It is strongly inter- and multidisciplinary in focus and strives for international excellence. To this end, KU Leuven works together actively with its research partners at home and abroad.<br />
<br />
== Post-doctoral fellows -- University of Alberta ==<br />
<br />
* Employer: Department of Computing Science, University of Alberta<br />
* Rank or Title: Post-doctoral fellow<br />
* Specialty: Information Extraction<br />
* Location: Edmonton, AB, Canada<br />
* Deadline: March 15 2013, but applications are accepted until positions are filled<br />
* Date Posted: 26 February 2013<br />
* Contact email: denilson@ualberta.ca<br />
<br />
'''Position Description'''<br />
<br />
The Department of Computing Science at the University of Alberta is seeking applicants for post-doctoral fellows to work on a project related to information extraction. The ideal candidates are recent PhDs in Computer Science with strong background in information retrieval, linked open data, natural language processing, and information extraction from the web. Other areas where expertise is desirable include graph data management, network analysis, data analytics, and the semantic web.<br />
<br />
The projects will be conducted in the context of the NSERC Business Intelligence Network (http://bin.cs.utoronto.ca/), a collaborative research initiative involving several top Canadian Universities and key industrial partners IBM Canada, SAP Canada, and Palomino System Innovations Inc. <br />
<br />
The fellows will work under the supervision of PI Denilson Barbosa, within a team of PhD and MSc students, and build on ongoing work in information extraction with applications in business and environmental data. These positions will require the development of practical prototypes and proof-of-concept systems, as well as dissemination of research results in top venues. As such, emphasis should be given on the application materials to hands-on experience with large-scale datasets.<br />
<br />
Qualified candidates must hold a PhD at the time of appointment. The stipend will be in accordance with NSERC standards (CAD$ 40,000 plus benefits), with the possibility of a 10-20% top-up depending on qualifications.<br />
<br />
'''Application instructions '''<br />
<br />
To apply, send an updated CV, cover letter, and the names and official contact information (university or company email and phone number) of three references to Denilson Barbosa <denilson@ualberta.ca>.<br />
<br />
Applications received by March 15, 2013 will receive full consideration, but applications will be considered until the positions are filled.<br />
<br />
'''Other Considerations'''<br />
<br />
The University of Alberta, one of Canada's largest research universities is situated in Edmonton, a metropolitan area of over one million people with a vibrant research community and an excellent standard of living. The Department of Computing Science at the University of Alberta is widely recognized as a leading CS department, both within Canada and worldwide.<br />
<br />
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.<br />
<br />
The University of Alberta hires on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.<br />
<br />
<br />
== Research Scientist - Xerox Research Centre Europe ==<br />
<br />
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/<br />
* Rank or Title: Research Scientist<br />
* Specialty: Statistical Natural Language Processing<br />
* Location: Grenoble, France<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: 14 February 2013<br />
* Contact email: James.Henderson@xrce.xerox.com<br />
<br />
'''Position Description'''<br />
<br />
The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning and/or information extraction (e.g. event extraction). The ideal candidate would also have experience or knowledge of textual entailment, knowledge representation, and combining machine learning with expert knowledge. The applicant should have good coding skills (e.g. Java programming), with the ability to develop research prototypes and pilots.<br />
<br />
The successful candidate will be expected to identify challenging problems, develop new solutions, and work with business and development teams to ensure that these solutions have a significant impact. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide. <br />
<br />
The Parsing & Semantics group concentrates on automatically making sense of electronic documents using semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in theoretical models of communication, language, computation, learning and inference which take into account the context in which these activities occur. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems. Our general application focus is on converting unstructured text into structured information. The solutions we develop are expected to play a key role in Xerox’ next generation document and business process outsourcing services in domains such as customer care, healthcare, and financial services. <br />
<br />
See also http://www.xrce.xerox.com/About-XRCE/Career-opportunities<br />
<br />
'''Requirements''' <br />
<br />
* PhD in Computer Science or Computational Linguistics<br />
* NLP knowledge and experience<br />
* Knowledge or experience in machine learning or information extraction<br />
* Object oriented programming skills (e.g. java)<br />
* Strong written and oral communications skills in English<br />
<br />
'''Application instructions '''<br />
<br />
The application deadline is '''March 1, 2013''', but applications will be considered beyond this date until the position is filled. <br />
<br />
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com. <br />
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation. <br />
<br />
<br />
== 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU ==<br />
<br />
* Employer: CNGL, Dublin City University http://www.cngl.ie <br />
* Rank or Title: PhD, Post-Doc and Research Programmer<br />
* Specialty: Machine Translation, Natural Language Processing, Parsing, Information Retrieval/Extraction, Text Analytics<br />
* Location: Dublin, Ireland<br />
* Deadline: February 25, 2013<br />
* Date Posted: January 30, 2013 <br />
* Start Date: March, 2013<br />
* Duration: 3 year (PhD), up to 2.5 years (Post-Doc)<br />
* Contact email: dgroves@computing.dcu.ie<br />
<br />
'''For More Details'''<br />
<br />
http://www.cngl.ie/vacancies.html<br />
<br />
'''Position Description'''<br />
<br />
CNGL is a €50M+ Academia-Industry partnership, funded jointly by Science Foundation Ireland (SFI) and our industry partners, and is entering its second cycle of funding. CNGL is looking to fill multiple posts associated with its second phase which will focus on expansion of our work into the challenging areas of social text sources and multimedia content.<br />
<br />
CNGL is an active collaboration between researchers at Dublin City University (DCU), Trinity College Dublin (TCD), University College Dublin (UCD), University of Limerick (UL), as well as 10 industrial partners, including SMEs, Microsoft, Symantec, Intel, DNP, and Welocalize. <br />
<br />
CNGL comprises over 100 researchers across the various institutions developing novel technologies addressing key challenges in the global digital content and services supply chain. CNGL is involved in a large number of European FP7 projects, as well as commercial projects in the areas of language technologies, information retrieval and digital content management. CNGL provides a world class collaborative research infrastructure, including excellent computing facilities, and administrative, management and fully integrated and dedicated on-site commercialisation support.<br />
<br />
The successful candidates will become part of the research team based at DCU, joining two leading academic MT/NLP/IR and Translation research groups (www.nclt.dcu.ie/, cttsdcu.wordpress.com/). The team’s location at DCU, minutes from Dublin city centre, offers a highly conducive environment for research, collaboration and innovation with a wealth of amenities on campus.<br />
<br />
DCU is ranked in the TOP 50 of young universities worldwide (under 50 years old) (QS Ranking) and in the TOP 100 under the Times Higher Education (under 50 years) ranking scheme.<br />
<br />
The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.<br />
<br />
'''PhD Studentships'''<br />
<br />
*Parsing, Analytics and Information Extraction:<br />
**Tuning Text Analytics to User-Generated Content: Parse quality estimation and targeted self-training.<br />
**Extracting Events and Opinions from User-Generated Content: Deep parsing-based methods.<br />
*Information Retrieval:<br />
**Self-Managing Information Retrieval Technologies: Query, search technique and parameter selection in information retrieval applications<br />
**Indexing and Search for Multimodal (Spoken/Visual) Content: Locating relevant content in multimodal sources<br />
**Application of Text Analytics in Information Retrieval: Enhancing information retrieval using features from text analysis <br />
**Investigating Human-Computer Interaction Issues for Search and Discovery with Multimodal (spoken/Visual) Content<br />
*Machine Translation:<br />
**Syntax- and Semantics-Enhanced Machine Learning Based MT<br />
**Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search <br />
**Human interaction with MT output: Usability, Acceptability, Post-editing Research<br />
**MT and Multimodal Interaction<br />
**MT for Multimodal Cross Language Information Retrieval<br />
<br />
'''Post-Doctoral Positions'''<br />
<br />
*Parsing, Analytics and Information Extraction:<br />
**Extracting Events and Opinions from User-Generated Content: Parsing-based deep methods (up to 2 year contract)<br />
**Extracting Events and Opinions from UGC: Shallow methods, including unsupervised methods (up to 2.5 year contract)<br />
*Machine Translation:<br />
**User/Human Centric MT (up to 2.5 year contract)<br />
<br />
'''Post-Doctoral Positions'''<br />
<br />
*Research Programmer (up to 2.5 year contract)<br />
<br />
For more information please see: http://www.cngl.ie/vacancies.html<br />
<br />
<br />
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==<br />
<br />
* Employer: Nara Insititute of Science and Technology <br />
http://www.naist.jp/en/<br />
* Rank or Title: Assistant Professor <br />
* Specialty: Foundation and/or Application areas of Natural Language Processing, Machine Translation, Web Mining and Grammatical Error Correction/Detection<br />
* Location: Nara, Japan <br />
* Deadline: February 28, 2013<br />
* Date Posted: January 30, 2013 <br />
* Start Date: after April, 2013<br />
* Duration: 5 years (reappointment is possible)<br />
* Contact email: matsu@is.naist.jp<br />
<br />
'''For Detailed Description'''<br />
<br />
http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html<br />
<br />
<br />
==Researchers - AT&T Labs Research==<br />
<br />
* Employer: AT&T Labs - Research<br />
* Rank or Title: Researchers and Research Software Engineers<br />
* Specialty: Natural Language Processing, Speech Processing, Machine Learning<br />
* Location: NJ<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: 8 January 2013<br />
* Contact email: vkumar@research.att.com<br />
<br />
'''Position Description'''<br />
<br />
AT&T Research, one of the premier industrial research laboratories in the world, is looking for<br />
talented individuals to make a difference in the world of communications. Our researchers and <br />
research software engineers are dedicated to solving real problems in speech and language <br />
processing, and are involved in inventing, creating and deploying innovative services. We also <br />
explore fundamental research problems in these areas. Outstanding Ph.D.-level candidates at <br />
all levels of experience are encouraged to apply. Candidates must demonstrate excellence in <br />
research, a collaborative spirit and strong communication and software skills. <br />
<br />
Areas of particular interest are<br />
<br />
* Large-vocabulary automatic speech recognition<br />
* Acoustic and language modeling<br />
* Robust speech recognition<br />
* Signal processing<br />
* Text-to-speech synthesis<br />
* Natural language understanding and dialog<br />
* Machine translation (speech and text)<br />
* Speaker biometrics<br />
* Voice and multimodal search<br />
* Software engineering for speech and language processing<br />
<br />
Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).<br />
<br />
Outstanding PhD-level candidates at all levels of experience and experienced M.S. candidates <br />
are encouraged to apply. Interviews will be conducted in early 2013. For more information, <br />
visit http://www.research.att.com/ and click on "Working with us", or access the page directly:<br />
<br />
http://www.research.att.com/evergreen/working_with_us/careers.html<br />
<br />
Candidates must demonstrate a proven research track record and the ability to identify technical<br />
problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++)<br />
are desired. Access to massive amounts of real-world data, the ability to work with internal and external <br />
collaborators across departments, the possibility of making an impact by developing solutions that will be used <br />
by millions, and the freedom to publish your results are some of the reasons AT&T Labs - <br />
Research is an exciting place to work. <br />
<br />
AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.<br />
<br />
<br />
==Subject Matter Expert - Linguistics==<br />
<br />
Employer: Assured Information Security, Inc<br><br />
Rank or Title: Subject Matter Expert<br><br />
Specialty: Linguistics<br><br />
Location: Rome, NY 13441<br><br />
Deadline: July 17, 2013<br><br />
Date Posted: June 17, 2013<br><br />
Link to website: http://www.Click2Apply.net/6q7549z<br><br />
<br />
AIS, Inc. is currently seeking a Subject Matter Expert in SIGINT for their Rome, NY office to support customers in the areas of requirements development, testing, and system training. The candidate(s) will support and coordinate the activities of AIS research and development programs.<br />
<br />
Roles and Responsibilities<br />
<br />
* Analysis of ongoing operations to identify and document end user requirements<br />
* Identification of operational scenarios to be used in evaluating candidate prototype technologies<br />
* Testing and analysis of the interim prototype systems against operational data sets<br />
* Conduct the demonstration and evaluation of interim prototype systems to operational users<br />
* Coordination of program activities with operational site personnel<br />
* Aggregation of operational data sets to be used in support of prototype evaluations<br />
* Provide training and technical support of the prototype systems for the end users<br />
* Creation of user documentation for the products developed within the research program<br />
* Coordination with other contractors in the integration of prototype systems<br />
* Assistance with the transition of prototype capabilities into the operational environment<br />
<br />
<br />
Requirements<br />
<br />
* Candidate must have 10 or more years of SIGINT experience to include field operations, analysis and reporting, training, and evaluation<br />
* Expertise in one or more SIGINT - related disciplines<br />
* Operational SIGINT qualifications in collection and management positions<br />
* Instructor and examiner experience<br />
* Presentation development experience<br />
* Demonstrated experience with research and analysis techniques<br />
* Strong interpersonal and oral/written communication skills including the ability to write progress reports, make oral presentations, and to implement or influence implementation of operating standards, policies and procedures in the project<br />
* Experience in working with diverse groups is desired<br />
* Recent operational SIGINT field experience is highly desired<br />
<br />
Qualifications and Education Requirements<br />
<br />
An active Top Secret/SCI security clearance and current investigation are required.<br />
<br />
Preferred: Bachelor's Degree in Computer Science or related program with 8 - 12 years experience; Master's Degree in Computer Science or related program with 4 - 7 years of experience; or 16 + years of job<br />
related experience.<br />
<br />
Additional Notes<br />
<br />
AIS is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, Vietnam era or other eligible veteran status, or any other protected factor.<br />
<br />
EEO/AA employer<br />
<br />
<br />
[http://www.Click2Apply.net/6q7549z Apply Here]</div>Argamonhttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=9241Employment opportunities, postdoctoral positions, summer jobs2012-03-13T15:30:35Z<p>Argamon: Job posting at Illinois Institute of Technology</p>
<hr />
<div>* Please post your job ad below. <br />
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* '''Please remove your posting when the position is filled.''' <br />
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** [[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]]<br />
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== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==<br />
<br />
* Employer: Illinois Institute of Technology<br />
* Title: Postdoc<br />
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor<br />
* Location: Chicago, IL<br />
* Deadline: As soon as possible<br />
* Date Posted: March 13, 2012<br />
* Contact: argamon@iit.edu<br />
<br />
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.<br />
<br />
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.<br />
<br />
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.<br />
<br />
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding. <br />
<br />
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.<br />
<br />
Review of applications will begin immediately and continue until the position is filled.<br />
<br />
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==<br />
<br />
* Employer: Google<br />
* Job title: Postdoc<br />
* Specialty: Natural Language Processing, Machine Learning, summarization<br />
* Location: Zurich, Switzerland<br />
* Deadline: we are looking to fill the position soon<br />
* Date posted: 1 March 2012<br />
<br />
A post-doctoral position in the area of automatic text summarization<br />
within the RENDER project is available at the Google Switzerland R&D<br />
office. RENDER is a EU FP7 research project focused on identifying<br />
diversity of opinions, viewpoints, mindsets and backgrounds in texts<br />
from different sources: news, (micro) blog streams, and in<br />
collaboratively written resources like Wikipedia. More information on<br />
the project goals is available at http://render-project.eu/.<br />
<br />
The duration of the post-doctoral contract will be one year, with the<br />
possibility of renewing for a second year. This position will allow<br />
the candidate to perform research on several NLP-related areas,<br />
to interact with the consortium partners and with other Google-internal<br />
research and development projects, and to apply the results of the<br />
research to real applications with a potentially large impact.<br />
<br />
Requirements:<br />
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.<br />
* Extensive programming experience in C/C++.<br />
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.<br />
* Fluency in English.<br />
<br />
Responsibilities:<br />
* Perform research in the context of the project (text summarization).<br />
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.<br />
* Publish the result of the research in top conferences or journals.<br />
* Be available to attend project meetings with the partners in the project.<br />
<br />
For applying to this position, please send an e-mail to Enrique<br />
Alfonseca (ealfonseca@google.com) including a paragraph on why you<br />
think you are a right person for the role, and a brief CV.<br />
<br />
== 4 PhD positions in spoken dialogue systems research ==<br />
<br />
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague<br />
* Job title: 4 PhD positions in spoken dialogue systems research<br />
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing<br />
* Location: Prague, Czech Republic<br />
* Deadline: 1 June 2012 <br />
* Date posted: 16 February 2012 <br />
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs<br />
<br />
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.<br />
<br />
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing. <br />
<br />
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.<br />
<br />
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities. <br />
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.<br />
<br />
== Several Positions in Data2Text (Natural Language Generation) ==<br />
<br />
* Employer: Data2Text<br />
* Job title: Graduate Developer, Natural Language Generation Engineer, Senior Software Architect<br />
* Specialty: natural language generation, analytics<br />
* Location: Aberdeen, Scotland, UK<br />
* Deadline: 2 March 2012 <br />
* Date posted: 7 February 2012 <br />
* Link to website: http://www.data2text.com/careers<br />
<br />
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)<br />
research group. We are looking to hire several people; please see our website for details<br />
http://www.data2text.com/careers<br />
<br />
This is a great opportunity for people who are keen on getting NLG technology<br />
out into the real world. In addition to the advertised positions, we're happy to talk<br />
to people who are knowledgeable about NLG and keen to develop commercial applications,<br />
but whose profiles do not fit the advertised positions.<br />
<br />
Information inquiries (from the ACL community) should be sent to Ehud Reiter<br />
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)<br />
<br />
== PhD-position in sentiment mining and reputation analysis==<br />
<br />
* Employer: Erasmus University Rotterdam<br />
* Job title: PhD-student <br />
* Specialty: text mining, sentiment analysis, topic detection, reputation management<br />
* Location: Rottterdam, The Netherlands <br />
* Deadline: 1 March 2012 <br />
* Date posted: 6 February 2012 <br />
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.<br />
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. <br />
<br />
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.<br />
<br />
== PhD-position in folktale classification and clustering ==<br />
* Employer: University of Twente<br />
* Job title: PhD-student<br />
* Specialty: text classification, document clustering, natural language processing<br />
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands<br />
* Deadline: 4 March 2012<br />
* Date posted: 6 February 2012<br />
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers. The PhD-student will work on automatic classification of Dutch folktales by their international folktale type and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.<br />
<br />
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute. <br />
<br />
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
==Research Associate Position at Educational Testing Service==<br />
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])<br />
* Job Title: Research Associate<br />
* Location: Princeton, NJ<br />
* Deadline: Open until filled<br />
* Date Posted: 28-Jan-2012<br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]<br />
* Contact email: dyanchuk@ets.org<br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation. <br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.<br />
<br />
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.<br />
<br />
* Plan and manage annotations for a variety of projects. <br />
<br />
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.<br />
<br />
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.<br />
<br />
* Design original research instruments and methods and applications of research.<br />
<br />
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers. <br />
<br />
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.<br />
<br />
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.<br />
<br />
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.<br />
<br />
* Contact, establish, and develop relationships with research community and with data sources.<br />
<br />
* Arrange and attend conferences and meetings; present research findings at professional meetings. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary. <br />
<br />
EXPERIENCE<br />
<br />
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects. <br />
<br />
APPLYING<br />
<br />
Interested parties can apply for the position through the following website:<br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 <br />
<br />
If there are any questions, please contact:<br />
<br />
Dave Yanchuk<br />
(609) 406-5291<br />
dyanchuk@ets.org<br />
<br />
<br />
==Postdoc Position at HRL Laboratories==<br />
* Employer: HRL Laboratories, LLC<br />
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining<br />
* Location: Malibu, CA<br />
* Deadline: Open until filled<br />
* Date Posted: 26-Jan-2012<br />
* Contact email: hmoon@hrl.com<br />
<br />
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information. <br />
For job considerations, please send your cover letter and CV to hmoon@hrl.com. <br />
<br />
Job Description:<br />
<br />
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields <br />
<br />
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise. <br />
<br />
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. <br />
<br />
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus. <br />
<br />
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel. <br />
<br />
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required. <br />
<br />
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.<br />
<br />
<br />
==Postdoc Position at Aberdeen University==<br />
* Employer: University of Aberdeen <br />
* Rank: Post-doctoral Research fellow<br />
* Speciality: Intelligent Language/Multimodal Interfaces<br />
* Location: Aberdeen, UK <br />
* Deadline: 10-Feb-2012 <br />
* Date Posted: 19-Jan-2012 <br />
* Contact email: yaji.sripada@abdn.ac.uk<br />
Digital Economy is an RCUK cross-council programme, aimed at realising the transformational impact of ICT for all aspects of business, society and economy. The dot.rural Digital Economy Hub at the University of Aberdeen is one of three large multi-disciplinary research hubs funded through this programme, and commenced its activities in October 2009. <br />
The Hub award to Aberdeen is worth £11.8M and will fund five years of activity. The Hub brings together a large team of researchers (70+) working in and across the disciplines of computer science, communications engineering, transport, health, social sciences and environmental sciences. For further details, see: www.dotrural.ac.uk <br />
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to work in the area of intelligent language/ multimodal interfaces. The Research Fellow will help develop and be responsible for natural language generation (NLG) based and other creative forms of on-line communication in a research project on effective communication of river water levels to the public, as well as contributing to interfaces of similar kinds needed for other projects related to natural resource conservation. <br />
The successful candidate will have a good knowledge of natural language processing techniques or multimodal interfaces (at the PhD level). They will have some knowledge of NLG and a desire to learn more. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering. The ability to use GIS would be an advantage. <br />
As this post is externally funded it is available for a period of 2.5 years.<br />
<br />
For more details <br />
<br />
Go to: http://www.abdn.ac.uk/jobs/index.php<br />
Click on "External Applicants"<br />
Enter the Post Reference Number 1228867 and click "Search"<br />
<br />
==Postdoc or Research Associate - Natural Language Processing==<br />
* Employer: IHMC (www.ihmc.us)<br />
* Rank or Title: Research Associate - Natural Language Processing<br />
* Specialty: Computational Linguistics, Natural Language Processing<br />
* Location: Ocala, FL<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: January 3rd, 2012<br />
* Contact email ywilks@ihmc.us<br />
<br />
'''About Us'''<br />
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.<br />
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.<br />
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.<br />
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.<br />
<br />
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.<br />
<br />
Required:<br />
<br />
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications<br />
<br />
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.<br />
<br />
▪ Ph.D. in computational linguistics / natural language processing or related areas.<br />
<br />
Skills and Experience:<br />
<br />
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.<br />
<br />
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.<br />
<br />
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.<br />
<br />
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.<br />
<br />
Apply to Yorick Wilks at: ywilks@ihmc.us<br />
<br />
<br />
<br />
<br />
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==<br />
* Employer: Queens College of the City University of New York<br />
* Location: New York, NY<br />
* Deadline: Review of applications to begin on March 1, 2012<br />
* Website: http://www.cs.qc.cuny.edu/<br />
* Date posted: January 4, 2012<br />
<br />
'''Visiting Assistant/Associate/Full Professor'''<br />
<br />
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1. This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.<br />
<br />
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors. If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.<br />
<br />
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research. More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/<br />
<br />
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.<br />
<br />
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:<br />
<br />
Dr. Matt Huenerfauth, Search Committee Chair <br />
<br />
Department of Computer Science <br />
<br />
Queens College-CUNY <br />
<br />
65-30 Kissena Blvd. <br />
<br />
Flushing, New York 11365-1597 <br />
<br />
matthew.huenerfauth (at) qc.cuny.edu<br />
<br />
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders. Review of applications will begin on March 1, 2012, and will continue until the position is filled.<br />
<br />
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.</div>Argamon