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

Revision as of 21:50, 1 March 2015

Instructions for Posting Job Ads
See also the Linguist Job List.
Archived postings:
- 2014 - 2013 - 2012 - 2011 - 2010 - 2009 - 2008 - 2007

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)

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

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

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

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.

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

Revision as of 21:50, 1 March 2015

Contents

Internship position available in Natural Language Processing at Adobe Research

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

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

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

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

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

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

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

Navigation menu

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@@ Line 1: / Line 1: @@
-* Please post your job ad below.
+<!-- START OF HEADER -->
-* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''.
+<!-- PLEASE DO NOT EDIT THIS HEADER -->
-* '''Please remove your posting when the position is filled.'''
+* '''[[Instructions for Posting Job Ads]]'''
-* Please include the following information:
-** Employer
-** Rank or Title
-** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
-** Location
-** Deadline
-** Date Posted
-** Contact email or link to website
 * See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 * Archived postings:
-** [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
+** [[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]]
+<!-- PLEASE DO NOT EDIT THIS HEADER -->
+<!-- PLEASE BE CAREFUL NOT TO DAMAGE ANOTHER PERSON'S AD -->
+<!-- USE "SHOW PREVIEW" TO VERIFY YOUR EDITS -->
+<!-- INSERT YOUR JOB AD IMMEDIATELY BELOW THIS HEADER -->
+<!-- END OF HEADER -->
-== Several Positions in Data2Text (Natural Language Generation) ==
+==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
-* Employer: Data2Text
+'''Description''':
-* Job title: Graduate Developer, Natural Language Generation Engineer, Senior Software Architect
+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.
-* Specialty: natural language generation, analytics
-* Location: Aberdeen, Scotland, UK
-* Deadline: 2 March 2012
-* Date posted: 7 February 2012
-* Link to website: http://www.data2text.com/careers
-Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)
+'''Key Qualifications'''
-research group.  We are looking to hire several people; please see our website for details
+*Experience with semantic parsing, dialog systems.
-http://www.data2text.com/careers
+*Experience with machine learning, deep learning.
+*Good programming skills in Java and/or Python
-This is a great opportunity for people who are keen on getting NLG technology
+'''Education'''
-out into the real world.  In addition to the advertised positions, we're happy to talk
+M.S. or PhD student in Computer Science or related field
-to people who are knowledgeable about NLG and keen to develop commercial applications,
-but whose profiles do not fit the advertised positions.
-Information inquiries (from the ACL community) should be sent to Ehud Reiter
+'''Additional Requirements'''
-(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)
+No.
-== PhD-position in sentiment mining and reputation analysis==
+== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==
-* Employer: Erasmus University Rotterdam
+*Employer:  	University of Notre Dame
-* Job title: PhD-student
+*Job Number:  	4015639
-* Specialty: text mining, sentiment analysis, topic detection, reputation management
+*Date Posted:  	02/17/2015
-* Location: Rottterdam, The Netherlands
+*Application Deadline: 	Open Until Filled
-* Deadline: 1 March 2012
+*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639
-* Date posted: 6 February 2012
-* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
-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.
+'''Job Description'''
-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.
-For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
+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.
-To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.
+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.
-== PhD-position in folktale classification and clustering ==
+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.
-* Employer: University of Twente
-* Job title: PhD-student
-* Specialty: text classification, document clustering, natural language processing
-* Location: Amsterdam, The Netherlands / Enschede, The Netherlands
-* Deadline: 4 March 2012
-* Date posted: 6 February 2012
-* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425
-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.
+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.
-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.
+'''Required'''
-For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425
+(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
-==Research Associate Position at Educational Testing Service==
+'''Desired'''
-* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])
-* Job Title: Research Associate
-* Location: Princeton, NJ
-* Deadline: Open until filled
-* Date Posted: 28-Jan-2012
-* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]
-* Contact email: dyanchuk@ets.org
-'''JOB DESCRIPTION'''
+(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
-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.
+For more information see the application link above.
-'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+== 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
-* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.
+'''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
-* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.
+'''About the role'''
-* Plan and manage annotations for a variety of projects.
+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.
-* 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.
+'''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
-* 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.
+'''About You'''
-* Design original research instruments and methods and applications of research.
+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:
-* 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.
+*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
-* 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.
+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'''
-* 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.
+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'''
-* 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.
+== 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
-* Contact, establish, and develop relationships with research community and with data sources.
+'''Job Description'''
+PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany
-* Arrange and attend conferences and meetings; present research findings at professional meetings.
+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.
-'''EXPERIENCE AND SKILLS'''
+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.
-EDUCATION
+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.
-A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary.
+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.
-EXPERIENCE
+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)
-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.
+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).
-APPLYING
-Interested parties can apply for the position through the following website:
+==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
-http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538
+'''Job Description'''
-If there are any questions, please contact:
+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.
-Dave Yanchuk
+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.
-(609) 406-5291
-dyanchuk@ets.org
+'''Essential criteria'''
-==Postdoc Position at HRL Laboratories==
+*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.
-* Employer: HRL Laboratories, LLC
+*Excellent programming skills (java or C/C++).
-* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining
+*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).
-* Location: Malibu, CA
+*Proven ability to communicate specialist ideas clearly in English using written media.
-* Deadline: Open until filled
+*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.
-* Date Posted: 26-Jan-2012
+*A PhD in Computer Science or closely related area, or equivalent experience.
-* Contact email: hmoon@hrl.com
-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.
+'''Desirable criteria'''
-For job considerations, please send your cover letter and CV to hmoon@hrl.com.
-Job Description:
+*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.
-EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields
+'''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.
-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.
+==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
-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.
+'''Job Description'''
-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.
+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.
-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.
+'''Position Summary'''
-SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required.
+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
-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.
+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'''
-==Postdoc Position at Aberdeen University==
+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.
-* Employer: University of Aberdeen
-* Rank: Post-doctoral Research fellow
-* Speciality: Intelligent Language/Multimodal Interfaces
-* Location: Aberdeen, UK
-* Deadline: 10-Feb-2012
-* Date Posted: 19-Jan-2012
-* Contact email: yaji.sripada@abdn.ac.uk
-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.
-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
-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.
-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.
-As this post is externally funded it is available for a period of 2.5 years.
-For more details
+'''Application Process'''
-Go to: http://www.abdn.ac.uk/jobs/index.php
+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.
-Click on "External Applicants"
-Enter the Post Reference Number 1228867 and click "Search"
-==Postdoc or Research Associate - Natural Language Processing==
+==Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)==
-* Employer: IHMC (www.ihmc.us)
+* Employer: Apple Inc.
-* Rank or Title: Research Associate - Natural Language Processing
+* Title: Language Understanding / Dialog Scientist
-* Specialty: Computational Linguistics, Natural Language Processing
+* Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
-* Location: Ocala, FL
+* Location: Cupertino, CA
-* Deadline: Applications accepted until position is filled
+* Deadline: rolling
-* Date Posted: January 3rd, 2012
+* Date Posted: December 2, 2014
-* Contact email ywilks@ihmc.us
+* Thomas Kollar: tkollar@apple.com
-'''About Us'''
+'''Description''':
-IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
+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.
-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.
-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.
-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.
-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.
+'''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.
-Required:
+*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
-▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications
+'''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.
-▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.
+'''Education'''
+M.S. or PhD in Computer Science or related field
-▪ Ph.D. in computational linguistics / natural language processing or related areas.
+'''Additional Requirements'''
++ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.
-Skills and Experience:
+==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
-▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+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.
-▪ 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.
+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.
-▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
+The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
-▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
+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.
-Apply to Yorick Wilks at: ywilks@ihmc.us
+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.
-== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==
-* Employer: Queens College of the City University of New York
-* Location: New York, NY
-* Deadline: Review of applications to begin on March 1, 2012
-* Website: http://www.cs.qc.cuny.edu/
-* Date posted: January 4, 2012
-'''Visiting Assistant/Associate/Full Professor'''
-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.
-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.
-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/
-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.
-Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:
-Dr. Matt Huenerfauth, Search Committee Chair
-Department of Computer Science
-Queens College-CUNY
--30 Kissena Blvd.
-Flushing, New York 11365-1597
-matthew.huenerfauth (at) qc.cuny.edu
-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.
-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.