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

From ACL Wiki
Jump to navigation Jump to search
(189 intermediate revisions by 74 users not shown)
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].
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* Archived postings:
 
* 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 -->
  
 +
==PhD-level Researchers in Language Technology or Computational Linguistics==
 +
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 +
* Title: PhD-level Researchers in Language Technology or Computational Linguistics
 +
* Topics: Natural Language Processing, Summarization, Opinion Mining
 +
* Location: Darmstadt (Germany)
 +
* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact: Prof. Iryna Gurevych apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de
  
−
==Postdoc or Research Associate - Natural Language Processing==
+
'''Job Description'''
−
* Employer: IHMC (www.ihmc.us)
 
−
* Rank or Title: Research Associate - Natural Language Processing
 
−
* Specialty: Computational Linguistics, Natural Language Processing
 
−
* Location: Ocala, FL
 
−
* Deadline: Applications accepted until position is filled
 
−
* Date Posted: January 3rd, 2012
 
−
* Contact email ywilks@ihmc.us
 
  
−
'''About Us'''
+
The newly established Research Training Group „[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg is filling several positions for three years, starting as soon as possible:
−
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
 
−
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.
+
PhD-level Researchers in Language Technology or Computational Linguistics
−
 
−
Required:
 
  
−
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications
+
The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:
  
−
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.
+
* A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
 +
* B1: Structured summaries of complex contents (TU Darmstadt)
 +
* B2: Content selection based on linked lexical resources (TU Darmstadt)
 +
* D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
 +
* D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)
 +
The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.  
  
−
▪ Ph.D. in computational linguistics / natural language processing or related areas.
+
The goal of AIPHES is to conduct innovative research on multi-document summarization in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel summarization scenario for information preparation from heterogeneous sources. There will be close interaction with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.  
  
−
Skills and Experience:
+
Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann), Multimedia Communications (Dr. Rensing). Participants at the Ruprecht-Karls-University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.
  
−
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+
AIPHES will emphasize close contact between students and their advisors, have regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and will actively support its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.
  
−
▪ 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.
+
'''Requirements'''
  
−
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
+
We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.  
  
−
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
+
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht-Karls-University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program „Semantic Processing“ with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.  
  
−
Apply to Yorick Wilks at: ywilks@ihmc.us
+
Applications should include
  
 +
* a motivational letter that refers to one of the above listed guiding themes,
 +
* a CV with information about the applicant’s scientific work,
 +
* certifications of study and work experience,
 +
* as well as a thesis or other publications in electronic form.
 +
They should be submitted until March 23th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de. The interviews may start any time. The positions are open until filled.
  
  
−
+
==Research staff position in Natural Language Processing==
−
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==
+
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
−
* Employer: Queens College of the City University of New York
+
* Title: Research staff position in Natural Language Processing
−
* Location: New York, NY
+
* Topics: Natural Language Processing, Question Answering
−
* Deadline: Review of applications to begin on March 1, 2012
+
* Location: Darmstadt (Germany)
−
* Website: http://www.cs.qc.cuny.edu/
+
* Deadline: open until the position is filled
−
* Date posted: January 4, 2012
+
* Date Posted: March 4, 2015
 +
* Contact: Nicolai Erbs erbs@ukp.informatik.tu-darmstadt.de
  
−
'''Visiting Assistant/Associate/Full Professor'''
+
'''Job Description'''
  
−
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.
+
The [https://www.ukp.tu-darmstadt.de Ubiquitous Knowledge Processing Lab] (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a research staff position (TV-TU E13 German payscale) with a focus on question answering and summarization of social media content. This DFG-funded basic [https://www.ukp.tu-darmstadt.de/research/current-projects/qa-eduinf research project] conducts research integrating semantic text analysis, such as semantic role labeling (SRL), into higher-level applications in information access to improve their overall results (Principal Investigator: Prof. Dr. Iryna Gurevych). Thereby, we pay special attention to graph-based techniques.  
  
−
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 selected candidate will work with a large corpus from a social question-answer platform on the Web. He/she will be expected to identify interesting research problems, research ways of utilizing semantic role labeling in novel NLP tasks, and develop means and resources to evaluate the results. The newly established Research Training Group “[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]” (AIPHES) funded by the DFG [3] provides an excellent research environment for this kind of work. The funding is available for the duration of at least two years with an option for extension.
  
−
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/
+
'''Requirements'''
  
−
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.
+
We ask for applications from applicants in Computer Science or Computational Linguistics, preferably with completed PhD and research publications. Experience in Question Answering or a related field like summarization or information retrieval is a definite advantage. Excellent graduates of these disciplines willing to work towards a PhD are also encouraged to apply. Ideally, the candidates should have strong research skills as well as demonstrable experience in designing and implementing complex natural language processing (NLP) applications in Java and/or with graph-based algorithms. A very good command of German is a definite plus, since the target corpus is in the German language. Excellent communication skills in English and the ability to work in a team are required.
  
−
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:
+
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees. Applications from women are particularly encouraged.  All other things being equal, candidates with disabilities will be given preference. Please send the application to: erbs@ukp.informatik.tu-darmstadt.de by 23.03.2015. The position is open until filled.
  
−
Dr. Matt Huenerfauth, Search Committee Chair
 
  
−
Department of Computer Science
+
==PhD-position in NLP/Text Mining==
 +
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 +
* Title: PhD-position in NLP/Text Mining
 +
* Natural Language Processing, Text Mining
 +
* Location: Darmstadt (Germany)
 +
* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact:  Richard Eckart de Castilho (eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de)
  
−
Queens College-CUNY
+
'''Job Description'''
  
−
65-30 Kissena Blvd.  
+
The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a PhD student (TV-TU E13 German payscale) in a research project in Natural Language Processing (NLP) for a computer scientist or computational linguist. The project focusses on building an open text-mining infrastructure at the European level (Principal Investigator: Prof. Dr. Iryna Gurevych).
  
−
Flushing, New York 11365-1597
+
Thereby, major NLP and Text Mining platforms, including UIMA and GATE, should be made interoperable and applied to knowledge discovery in scientific literature, e.g. entity disambiguation and linking to a background knowledge repository. In the past, the UKP Lab has developed several frameworks such as the Darmstadt Knowledge Processing Repository (DKPro) and UBY. They form the foundation for the research and implementation work to be done. The graduate program Knowledge Discovery in Scientific Literature provides further research environment for the work to be carried out.
  
−
matthew.huenerfauth (at) qc.cuny.edu
+
'''Requirements'''
  
−
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.
+
Applicants in Computer Science or Computational Linguistics must have demonstrable experience in designing and implementing complex natural language processing (NLP) systems or NLP-based applications and the programming language Java as well as strong research skills. Excellent communication skills in English and the ability to work in a team are required. Experience in open-source software development is a plus.
  
−
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.
+
The following academic qualification is necessary: completion of an M.A./M.Sc. in Computer Science, Computational Linguistics, or a related field.
  
−
== Researcher speech/language processing - AT&T Labs, NJ ==
+
Pending the successful completion of the ongoing administrative steps for the project, funding of this position is available from June 1st, 2015 for the duration of three years.
−
* Employer: AT&T Labs - Research
 
−
* Location: Florham Park, NJ
 
−
* Deadline: applications accepted until position is filled
 
−
* Website: http://www.research.att.com
 
−
* Date posted: 23/12/2011
 
  
−
AT&T Labs - Research
+
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.
  
−
Researcher and Research Software Engineer Positions
+
Interviews may start at any time and will continue until the position has been filled. Email address for inquiries and applications: eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de
  
−
AT&T Research, one of the premier industrial research laboratories in
+
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The UKP Lab is also home to the unique research initiative "Knowledge Discovery in the Web” which emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge.  
−
the world, is looking for talented individuals to make a difference in
 
−
the world of communications.  Our researchers and research software
 
−
engineers are dedicated to solving real problems in speech and language
 
−
processing, and are involved in inventing, creating and deploying
 
−
innovative services. We also explore fundamental research problems in
 
−
these areas. Outstanding Ph.D.-level candidates at all levels of
 
−
experience are encouraged to apply.  Candidates must demonstrate
 
−
excellence in research, a collaborative spirit and strong communication
 
−
and software skills.
 
  
−
Areas of particular interest are
+
The Technische Universität Darmstadt promotes gender equality and in particular encourages women to apply. Preference will be given to physically handicapped persons if they are equally qualified.
  
−
      * Large-vocabulary automatic speech recognition
 
−
      * Acoustic and language modeling
 
−
      * Robust speech recognition
 
−
      * Signal processing
 
−
      * Adaptive learning
 
−
      * Pronunciation modeling
 
−
      * Natural language understanding and dialog
 
−
      * Speaker biometrics
 
−
      * Voice and multimodal search
 
−
      * Software engineering for speech and language processing
 
  
−
Positions will be based in New Jersey, New York, or California,
+
==Internship position available in Natural Language Processing at Adobe Research==
−
depending on area of focus.
+
* 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
  
−
For more information, visit www.research.att.com and click on "Working
+
'''Description''':
−
with us".
+
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.  
  
−
AT&T Companies are Equal Opportunity Employers. All qualified candidates
+
'''Key Qualifications'''
−
submitting a complete application by January 31, 2012 will receive full
+
*Experience with semantic parsing, dialog systems.
−
and fair consideration for employment.
+
*Experience with machine learning, deep learning.
 +
*Good programming skills in Java and/or Python
  
−
== [[File:euroscript-logo.jpg]]Globalization Process Expert (M/F) - Berlin ==
+
'''Education'''
 +
M.S. or PhD student in Computer Science or related field
  
−
* Employer: euroscript Deutschland GmbH
+
'''Additional Requirements'''
−
* Location: Berlin, Germany
+
No.
−
* Deadline: applications accepted until position is filled
+
== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==
−
* Website: http://www.euroscript.de
 
−
* Date posted: 22/12/2011
 
−
* Start date: ASAP
 
  
−
euroscript International is a leader in providing customers with global solutions in content lifecycle management. The euroscript divisions deliver comprehensive solutions that help customers design, build and run content management operations of all sizes. Thanks to its employees' expertise in the fields of language services, content and document management and system integration, euroscript is able to help businesses around the world to manage content more efficiently.
+
*Employer:  University of Notre Dame
−
With a market presence in over 17 countries, euroscript serves customers in a variety of business sectors including the public sector, aerospace, defence and transport, manufacturing, life sciences, financial services and energy and environment.
+
*Job Number:  4015639
 +
*Date Posted:  02/17/2015
 +
*Application Deadline: Open Until Filled
 +
*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639
  
−
We are looking for experts in linguistic technology (including but not limited to, authoring sys-tems, workflow automation, and CAT tools) to join our global team. The position is based in Berlin, Germany. euroscript Deutschland GmbH is part of euroscript International S.A.
+
'''Job Description'''
  
−
'''Your responsibilities:'''
+
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.
  
−
** Design and implementation of technology components for euroscript’s internal language services production;
+
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.
−
** Analysis of authoring, translation and terminology workflows and tools both within euroscript and as part of consultancy services for euroscript customers;
 
−
** Evaluation and optimization of such workflows and creation of recommendations, designs, and consultancy offers for our customers;
 
−
** Project Management for internal and external technology projects;
 
−
** Permanent monitoring of on-going market, technological and scientific developments in the area of translation, authoring and process automation
 
  
−
'''Your profile:'''
+
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.
  
−
Required:
+
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.
−
** MSc/degree or comparable university degree, preferably in computer science, computational linguistics, technical authoring, engineering or similar;
 
−
** Broad understanding of tasks, tools and developments in the area of technical documentation, translation and natural language processing;
 
−
** At least five years of professional experience as expert or consultant in the area of technical documentation and/or translation management;
 
−
** Experience in IT project management and methodologies;
 
−
** Good communication and presentation skills both in German and English;
 
−
** Ability to write technical documents or offers in German and English;
 
−
** Independent, open–minded and proactive;
 
−
** Able to work harmoniously with colleagues in an international, multidisciplinary team, and with a multilingual user community
 
  
−
Preferred:
+
'''Required'''
−
** Programming experience;
 
−
** Familiarity with further EU languages
 
  
−
Are you looking for a new challenge? Are you ready to join an international, dynamic and goal-oriented environment?  If so, please send us your full application, indicating the reference GPE- -12/2011, to the following e-mail address: jobapplication@euroscript.de.
+
(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
  
−
euroscript Deutschland GmbH
+
'''Desired'''
−
Alt-Moabit 91
 
−
D-10559 Berlin
 
−
jobapplication@euroscript.de
 
−
www.euroscript.de
 
  
 +
(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
  
−
==Front-End Developer for Speech Applications (Fluential Inc.)==
+
For more information see the application link above.
−
*'''Title:  Front-End Developer'''
 
−
*'''Location:  Sunnyvale'''
 
−
*'''Status:  Regular, Full-time, Exempt'''
 
−
*'''Deadline: Until filled'''
 
−
*'''Date Posted: 20 Dec 2011'''
 
  
−
Fluential is a well-funded, early-stage company that has developed a cutting-edge platform that uses natural language technologies to enable computers and smart phones to understand speech and either translate it to different language or perform other complex tasks. The company is now developing innovative commercial products that solve important, high-value problems in specific vertical industries including healthcare, construction, and travel.
+
== Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation==
−
 
+
*Employer: Macquarie Group
−
Fluential offers excellent opportunities for employees to grow and share in our success. We offer competitive compensation, excellent benefits and a creative work environment.
+
*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'''
 
'''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
  
−
We are currently seeking talented software engineers to join our hands-on technical team to work on our next generation speech based technology. The ideal candidate will be capable of building usable, well-designed, and good-looking user interfaces using HTML, Javascript, or Ruby on Rails. The candidate should have a proven experience in anticipating customer needs. This position will work closely with a team of technology experts to define, develop, test, and deploy our target application.
+
'''About the role'''
  
−
'''Job Responsibilities'''
+
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.
  
−
*Be a contributing member of a cross-functional scrum team in charge of delivering new features on a regular basis
+
'''Key Responsibilities'''
−
*Interact with product owners and customers to understand the requirements before building a new feature.
+
*Design and Develop our first NLG/NLP Application within Equities Research
−
*Interact with server side developers and architects to deliver vertical slices of functionality
+
*Work closely with the vendor to understand the application limitations and functionality
−
*Participate with scrum team to plan and commit to each iteration of work.
+
*Drive the development with the Head of Research as well as industry analysts
−
*Drive towards delivery of those commitments throughout the iteration and raise risks early.
+
*Mature the offering and look for further areas of development within the business
−
*Build quality user interfaces using best practices in design and usability.
 
−
*Participate in code reviews, test plan reviews, and doc reviews.
 
−
*Be open to learning new technologies and new problem domains.
 
  
 +
'''About You'''
  
−
'''Job Qualifications'''
+
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:
  
−
*BS or MS in Computer Science or related field of study
+
*Tenacity to produce different If Statements and to develop the platform further
−
*Minimum2-3 years development experience preferred
+
*Strong interest in Artificial Intelligence/Machine Based Learning.
−
*Experience with Client-side HTML, Javascript
+
*Keen interest in finance
−
*Ruby on Rails, Python, PHP, Perl or Java is a plus
+
*Self Starter and strong attention to detail to really drive uptake of the platform
−
*Excellent communication and teamwork skills
 
−
*Passion for creating bleeding-edge technology
 
−
*Creative thinker and problem solver
 
  
 +
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'''
  
−
Qualified candidates are encouraged to send a resume & cover letter to [mailto:jobs@fluentialinc.com jobs@fluentialinc.com]
+
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'''
  
−
Fluential is an Equal Opportunity Employer. To learn more, please visit us online at [http://www.fluentialinc.com http://www.fluentialinc.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
  
−
==Mobile Engineer for Speech Applications (Fluential Inc.)==
+
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.
−
*'''Title: Mobile App Engineer'''
 
−
*'''Location:  Sunnyvale'''
 
−
*'''Status:  Regular, Full-time, Exempt'''
 
−
*'''Deadline: Until filled'''
 
−
*'''Date Posted: 19 Dec 2011'''
 
  
 +
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.
  
−
Fluential, Inc. is a well-funded startup with a cutting-edge technology focused on speech recognition and machine translation. Our disruptive, capital-efficient, patent-pending platform is applicable to a variety of environments where multiple languages inhibit communication.
+
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.
  
−
With an exciting, evolving product, Fluential, Inc. offers excellent opportunities for employees to grow and share in our success. We offer competitive compensation, excellent benefits and a creative work environment.
+
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.  
  
−
'''Job Description:'''
+
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)
  
−
We are currently seeking talented software engineers to join our hands-on technical team to work on our next generation mobile apps. The mobile app engineer is instrumental in expanding our technology to the mobile platform, including design, implementation, testing, and support of the product on the mobile platform. This position will work closely with a team of technology experts to define, develop, test, and deploy software applications in the speech recognition and machine translation field.  
+
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).
  
−
'''Job Responsibilities:'''
 
  
−
* Participate in all phases of development from definition and design through implementation, debugging and testing
+
==Postdoc position in Cardiff (NLP, IR, machine learning)==
−
* Work closely with other developers in the team to find solutions for difficult problems
+
*Employer: Cardiff University
−
* Produce clear and complete functional and design specifications
+
*Title: Postdoc
−
* Provide expert and timely support for customer issues that reach the development team
+
*Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
−
* Participate in analyzing customer requirements and defining product specifications 
+
*Location: Cardiff, UK
 +
*Deadline: 3 February 2015
 +
*Date posted: 9 January 2015
 +
*Contact information: SchockaertS1@cardiff.ac.uk
  
−
'''Job Qualifications:'''
+
'''Job Description'''
  
−
* BS or MS in Computer Science or related field of study
+
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.
−
* 1-2 years development experience preferred
 
−
* Experience with App development on iOS or Android
 
−
* Strong knowledge of one or more:  C#, Objective C, Javascript, Java
 
−
* Ability to quickly learn a complex existing code base with minimal instruction
 
−
* Excellent communication and teamwork skills
 
−
* Passion for technology, excellence and quality
 
−
* Creative thinker and problem solver
 
  
−
Qualified candidates are encouraged to send your resume and cover letter to [mailto:jobs@fluentialinc.com jobs@fluentialinc.com].
+
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.
  
−
Fluential, Inc. is an Equal Opportunity Employer.  To learn more, please visit us online at [http://www.fluentialinc.com http://www.fluentialinc.com]
+
'''Essential criteria'''
  
−
== Researchers in NLG (Aberdeen University) ==
+
*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: University of Aberdeen
+
*Excellent programming skills (java or C/C++).
−
* Rank: Research assistant or fellow
+
*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).  
−
* Speciality: Natural Language Generation
+
*Proven ability to communicate specialist ideas clearly in English using written media.  
−
* Location: Aberdeen, UK
+
*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.
−
* Deadline: 28-Nov-2011
+
*A PhD in Computer Science or closely related area, or equivalent experience.
−
* Date Posted: 20-Dec-2011
 
−
* Contact email: c.mellish@abdn.ac.uk
 
−
dot.rural is a large multi-disciplinary project at
 
−
Aberdeen University which is developing transformational IT
 
−
technology to support rural communities.  Within dot.rural,
 
−
we are looking for researchers to work on applied NLG-related
 
−
projects in health care, conservation and environment,
 
−
and transport.
 
  
−
We are currently advertising for one post-doctoral research
+
'''Desirable criteria'''
−
fellow and one pre-doctoral research assistant; it is likely
 
−
that we will soon be advertising for a second post-doctoral
 
−
research fellow.  These are general positions within dot.rural,
 
−
there is some flexibility about which specific projects
 
−
each researcher works on.  If you are interested in working for
 
−
dot.rural, please contact Chris Mellish (c.mellish@abdn.ac.uk),
 
−
who is in charge of NLG activities in dot.rural
 
  
−
For information, please see
+
*Knowledge of statistical natural language processing.
−
* http://www.dotrural.ac.uk/  - dot.rural website
+
*Knowledge of unsupervised and semi-supervised learning.  
−
* http://www.dotrural.ac.uk/engage - page on "engaging with users", which includes links to most NLG-related projects in dot.rural
+
*Knowledge of relation extraction.  
−
* http://www.abdn.ac.uk/ncs/computing/research/nlg/ - Aberdeen NLG group
+
*Experience with analysing large text corpora using a high-performance computing environment.  
−
* http://www.abdn.ac.uk/jobs/index.php - official announcements of vacancies
+
*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.
  
−
== Computational linguist (Seattle) ==
+
==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
−
* Employer: The Lingua Team
+
*Employer: Allen Institute for Artificial Intelligence (AI2)
−
* Rank: Employee or contractor
+
*Title: Post-doc/Research Scientist
−
* Speciality: Natural Language Processing
+
*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 area, WA, USA (working at a client location)
+
*Location: Seattle, WA
−
* Deadline: 11/25/2011
+
*Deadline: N/A, we are hiring throughout 2015
−
* Date Posted: 11/13/2011
+
*Date posted: 12/9/2014
−
* Contact email: info@thelinguateam.com
+
*Contact information: ai2-info@allenai.org, allenai.org
−
The Lingua Team, a company based in the Seattle area, dedicated to specialized linguistic services is looking for a computational linguist with native or near native knowledge of one or more European languages. Please, email your resume for consideration. This is a 1-year contract, with potential to be extended long term.  
 
  
 +
'''Job Description'''
  
−
== [[File:euroscript-logo.jpg]]Linguistic Solutions Architect (M/F) ==
+
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.  
−
 
 
−
* Employer: euroscript Luxembourg S.à r.l.
 
−
* Location: Bertrange, Luxembourg or Berlin, Germany
 
−
* Deadline: applications accepted until position is filled
 
−
* Website: http://www.euroscript.com
 
−
* Date posted: 31/10/2011
 
−
* Start date: ASAP
 
−
 
 
−
'''Your role:'''
 
−
 
 
−
As part of a global team, we are looking for experts in linguistic technology, including but not limited to, statistical machine translation (SMT), open source tools, and automation workflows.
 
−
 
 
−
'''Your responsibilities:'''
 
−
 
 
−
** Design, implementation and maintenance of components for euroscript’s internal machine translation services;
 
−
** Analysis of project workflows with respect to leverage of machine translation, definition of project-specific requirements on the machine translation service;
 
−
** Evaluation and optimization of the performance of the machine translation service;
 
−
** Permanent survey of on-going market, technological and scientific developments in the area of translation automation
 
−
 
 
−
'''Your profile:'''
 
−
 
 
−
Required:
 
−
** MSc/Diploma in computational linguistics or computer science with good knowledge of machine translation (MT), as well as a broad overview of tasks, tools and developments in the area of natural language processing;
 
−
** High familiarity with recent developments in SMT;
 
−
** Ability to translate ideas from scientific research to practical application in a commercial environment;
 
−
** At least three years of programming experience;
 
−
** Ability to write technical documents and scientific papers in English;
 
−
** Independent and open minded, with a strong sense of initiative;
 
−
** Able to work harmoniously with other members within an international, multidisciplinary team, and with a multilingual user community;
 
−
** Prior practical experience with statistical and/or grammar-based MT systems;
 
−
** Good oral and written command of English is required
 
−
 
 
−
Preferred:
 
−
** Practical experience with open source statistical machine translation systems (e.g. Moses);
 
−
** Programming experience with Python;
 
−
** Familiarity with further EU languages (preferably French, Dutch or German);
 
−
** Experience in the translation environment and with CAT-Tools
 
−
 
 
−
Are you looking for a new challenge? Are you ready to join an international, dynamic and goal-oriented environment?  If so, please send us your full application, indicating the reference LSA-10/2011 at the following email address: careers@euroscript.com
 
−
 
 
−
'''About us:'''
 
−
 
−
euroscript International is a leader in providing customers with global solutions in content lifecycle management. The euroscript divisions deliver comprehensive solutions that help customers design, build and run content management operations of all sizes. Thanks to its employees' expertise in the fields of language services, content and document management and system integration, euroscript is able to help businesses around the world to manage content more efficiently.
 
−
 
 
−
With a market presence in over 16 countries, euroscript serves customers in a variety of business sectors including the public sector, aerospace, defence and transport, manufacturing, life sciences, financial services and energy and environment.
 
−
euroscript Luxembourg S.à.r.l. is part of euroscript International S.A.
 
−
 
 
−
== Practical Natural Language Processing and Text Mining Professional ==
 
−
 
 
−
** Employer: ComplaintLink
 
−
** Specialty: Specialty: entity named extraction, text mining, machine learning algorithms
 
−
** Location: H.O. in Toronto but you can work off-site anywhere in the world
 
−
** Deadline: Applications accepted until the position is filled
 
−
** Date Posted: October 14, 2011
 
−
** Start Date: ASAP
 
−
** Duration: contract position - 2 to 4 months
 
−
 
−
<p><strong>Position: Complaint Link Inc. is interested in hiring an off-site skilled NLP professional to work on a software project in the area of natural language processing, topic detection, and machine learning algorithms. </strong></p> <p>About the employer: ComplaintLink is a web start-up with a relatively simple user-interface and very complicated analytical software that will incorporate machine learning algorithms, natural language processing, sentiment analysis, entity named extraction, search algorithms and other data mining and business intelligence functionality. The website is structured much like a sophisticated forum with a social-networking component. The data being analyzed will be from user-generated textual discussions around a multitude of topics that will continuously be updated.
 
−
</p><p>Description of project: The successful candidate will be working with other LAMP developers to bring an online business to fruition. The candidate will, using open source resources, intelligence and imagination, develop software that will function as the brains behind this online business.</p><p>The software being developed will access our site’s database and have the ability, without any manual keyword input for direction, to mine all textual data and present clearly which are the most 'important' or ‘passionate’ conversations and issues and be able to extract what those issues are and what related significant information is involved in those discussions. It will be able to identify and draw associations between significant pieces of information and present the information extracted in a way that provides a clear picture of the activity on the site in a practical and meaningful manner.</p><p>Degree and expertise:  This project requires someone with a passion for machine learning algorithms and natural language processing. Ideally the candidate will be a postdoctoral fellow or at least someone as smart and experienced as one in the area of Natural Language Processing, machine learning algorithms, and data extraction and analysis. You must be able to work in a LAMP environment, be skilled with MySQL, be smart, reliable, and a self-starter with excellent problem solving and analytical abilities. You must have a solid grasp of English – written and verbal.</p><p>If you are interested in this opportunity please contact us at the following address:  developers  {at}  ComplaintLink  {dot} {com}  Please include your CV and a short description of your past work and studies and interests.</p>
 
−
 
 
−
 
 
−
 
 
−
== Assistant Professor Position at Graduate School of Information Science, NAIST, Japan ==
 
−
* Employer: Graduate School of Information Science, Nara Institute of Science and Technology
 
−
* Rank or Title: Assistant Professor (5 years + 3 year extension)
 
−
* Specialty: Natural Language Processing, Machine Learning, Text Mining
 
−
* Location: Nara, Japan
 
−
* Deadline: 11th November, 2011
 
−
* Date Posted: 12th October, 2011
 
−
* Contact email: (for informal enquiries) matsu@is.naist.jp
 
−
* Website: http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/20111006index.html
 
−
 
 
−
 
 
−
== NLP: Two Research Scientist positions: 1) NLG and 2) Computational Semantics ==
 
−
* Employer: University of Colorado Boulder
 
−
* Rank or Title: Research Scientists
 
−
* Specialty: NLG, NLU, Computational Semantics, Spoken Dialogue Systems
 
−
* Location: Boulder, CO, USA
 
−
* Deadline: Until filled
 
−
* Date Posted: 11 October 2011
 
−
* Contact email: Rodney.Nielsen@Colorado.edu
 
−
* Website: http://www.RodneyNielsen.com
 
−
 
 
−
 
 
−
The Companionbots project in the Computational Language and Education Research Center, Institute of Cognitive Science, University of Colorado, Boulder, invites applications for two postdoctoral Research Scientist positions in Human-Robot Dialogue: one in Natural Language Generation (NLG) and the second in Computational Semantics / Natural Language Understanding.
 
−
 
 
−
Project Description
 
−
---------------
 
−
 
 
−
CU Boulder is leading a large collaborative NSF-funded project, “Companionbots for Proactive Therapeutic Dialog on Depression”, to conduct research on a new class of dialog-based, home robotic healthcare assistants to facilitate in-home, real-time care. The research team integrates a broad spectrum of expertise including Clinical & Psychiatric Healthcare, Speech, Dialog, Natural Language Processing, Robotics, Computer Vision, Machine Learning, Human Factors and Cognitive Science. The immediate project will result in enabling technology for home healthcare Companionbots that integrates language, vision, and emotive technology to proactively recognize situations and dialog with isolated and elderly patients suffering from depression.
 
−
 
 
−
Object recognition and human activity recognition will augment natural language processing to provide current and historical context important to dynamic dialog. An emotive, physical avatar will provide an interaction mechanism with sufficient trust to extract meaningful information that may not be observable in the immediate environment. A central and unique aspect of the Companionbot’s dynamic dialog is the proactive generation of questions, which is driven by a user model including context, goals, health information, experiences, interests, and prior interactions. In addition to providing real-time intervention capabilities, the benefits of Companionbots include the continuous collection of physical and mental health data to improve doctor-patient interaction and enable data mining across patient cohort groups.
 
−
 
 
−
 
 
−
Natural Language Generation (NLG) Position
 
−
---------------
 
−
 
 
−
The successful applicant will research and develop natural spoken dialogue generation components, with an emphasis on question generation, in the context of emotive, companion robots (Companionbots) communicating with isolated elderly suffering from depression. NLG will span multiple genres from casual conversation to goal-directed mental health education and training. It will also explore multiple techniques from more traditional Spoken Dialogue Systems (SDS) approaches to more recent text-to-text NLG methods. You will be encouraged to develop independent research ideas within the scope of the project, will play an active role in a variety of project areas, and will have the opportunity to apply your NLG expertise to a critical real-life problem in a multidisciplinary environment.
 
−
 
 
−
The Companionbots project includes numerous collaborators. Key to this position, Kathy McKeown, Columbia University, will consult on the Natural Language Generation components and co-advise this post-doc. You will also interact closely with the project’s clinical experts in understanding subjects and developing healthcare-related dialogue strategies, with users to help guide and evaluate research & development, and with project members involved in SDS, Automatic Speech Recognition (ASR), NLU, Vision, and the physical & visual expression of emotion. The project will involve significant bidirectional interaction between these constituents and their associated system components.
 
−
 
 
−
This position is available immediately and is initially for one year, with the possibility of an extension up to three years based on performance.
 
−
 
 
−
Qualifications
 
−
 
 
−
* A PhD or equivalent in computer science, computational linguistics, or a closely related discipline
 
−
* Rigorous experience and skills in NLG, preferably in conversational SDS, as evidenced by a publication record
 
−
* Solid skills in the application of Machine Learning to computational linguistics tasks, evidenced by publications
 
−
* Excellent software design and implementation skills
 
−
* Good verbal communication and English writing skills
 
−
* The ability to work both independently and in a multidisciplinary team
 
−
 
 
−
* It is a plus (but not a requirement) to have working knowledge or preferably a publication record indicating experience in usability, cognitive science, user modeling, or discourse analysis related to NLG and SDS
 
−
 
 
−
 
 
−
Computational Semantics Position
 
−
---------------
 
−
 
 
−
The successful applicant will research and develop NLP components, with an emphasis on semantic interpretation of spoken dialogue in the context of emotive, companion robots (Companionbots) communicating with isolated elderly who are suffering from depression. NLP will be used to develop a deep understanding and representation of a situation based on past and immediate context. The semantics extracted will be used to construct a user model and predict future adverse events and situations.  You will be encouraged to develop independent research ideas within the scope of the project, will play an active role in a variety of project areas, and will have the opportunity to apply your NLP expertise to a critical real-life problem in a multidisciplinary environment.
 
−
 
 
−
The Companionbots project includes numerous collaborators. You will interact closely with the project’s clinical experts in understanding subjects and relevant healthcare-related dialogue, with users to help guide and evaluate research & development, with Vision researchers to enhance contextual understanding, with Automatic Speech Recognition (ASR) experts to improve ASR with semantic context, with a Natural Language Generation researcher to inform the spoken dialogue using deeper semantics, and with mechantronics researchers to ensure contextually appropriate emotive output. The project will involve significant bidirectional interaction between these constituents and their associated system components.
 
−
 
 
−
This position is available immediately and is initially for one year, with the possibility of extension based on performance.
 
−
 
 
−
Qualifications
 
−
 
 
−
* A PhD or equivalent in computer science, computational linguistics, or a closely related discipline
 
−
* Rigorous experience and skills in computational semantics, preferably in the context of conversational SDS, as evidenced by a strong publication record
 
−
* Solid skills in the application of Machine Learning to computational linguistics tasks, evidenced by publications
 
−
* Excellent software design and implementation skills
 
−
* Good verbal communication and English writing skills
 
−
* The ability to work both independently and in a multidisciplinary team
 
  
−
* It is a plus (but not a requirement) to have working knowledge or preferably a publication record indicating experience in user modeling, discourse analysis, and cognitive science related to SDS
+
'''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
  
−
The Center for Computational Language and Education Research (CLEAR)
+
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.
−
---------------
 
  
−
You will be part of the Institute of Cognitive Science’s Center for Computational Language and Education Research (CLEAR), which includes prominent senior human language technology faculty Drs. James Martin (co-author of Speech and Language Processing), Martha Palmer (PropBank, VerbNet, …), Wayne Ward (an ASR and SDS pioneer, who will lead the speech aspects of Companionbots), and others. Including students, CLEAR consists of about 40 researchers with backgrounds in computer science, linguistics, machine learning, cognitive science, psychology, education and human computer interaction. The group’s research investigates a variety of topics and applications, but emphasizes the application of human language technologies to educational and medical applications. CLEAR is housed at the Center for Innovation and Creativity along side numerous researchers in allied fields including psycholinguistics, cognitive neuroscience, reading, and cognitive disability research. All of these factors make CU Boulder one of the leading institutions for research in computational semantics.
+
'''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.
  
−
Boulder, Colorado
+
'''Application Process'''
−
---------------
 
  
−
Boulder, just 25 miles from Denver, is a mid-sized community of 300,000 residents nestled along the Flatirons, at the foothills of the Rocky Mountains. Boulder’s citizens report the highest quality of life ratings in the United States among mid-sized cities, perhaps because of its balance of intellectual and outdoor recreational capital. Apart from the University of Colorado at Boulder, Colorado’s flagship university, Boulder is home to three major scientific National Institutes and numerous high-tech companies.
+
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.
  
−
Boulder boasts outstanding outdoor recreational opportunities. It was rated the "#1 Sports Town in America" by Outside Magazine. Boulder residents enjoy over 300 sunny days per year and immediate access to climbing, hiking, kayaking, and fishing within walking distance of the city center. World-class outdoor recreation is available in the 30,000 acres of open space parks surrounding Boulder, Rocky Mountain National Park (just 40 miles away), and 8 outstanding ski resorts (within 20-100 miles).
+
==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
  
−
In addition to its scientific and scholarly strengths, Boulder possesses a unique blend of cultural interests. Because of its desirability as a place to live, Boulder is also home to a high concentration of novelists, Olympic and other elite athletes. These groups together support over 300 restaurants, more than 30 art galleries, 4 local museums, 32 movie and stage theaters, and many festivals, including the Colorado Shakespeare Festival and the Colorado Music Festival.
+
'''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
  
−
Application
+
'''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.
  
−
Please email questions about these positions to the Companionbot’s Principal Investigator:
+
'''Education'''
 +
M.S. or PhD in Computer Science or related field
  
−
Rodney.Nielsen@colorado.edu
+
'''Additional Requirements'''
 +
2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.
  
−
Rodney Nielsen, Ph.D.
+
==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
−
Research Scientist
+
* Employer: The Ohio State University
−
Computational Language and Education Research Center
+
* Title: Assistant/Associate/Full Professor
−
Institute of Cognitive Science
+
* Specialty: open, two positions in Data Analytics
−
University of Colorado, Boulder
+
* 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.
  
−
To apply follow the instructions at the Jobs at CU link below to submit your CV (with details regarding research experience), a statement of research interests, links to your most relevant papers, and a list of at least 3 references with email addresses.
+
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.
  
−
Natural Language Generation:
+
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
−
http://www.jobsatcu.com/applicants/Central?quickFind=66322
 
  
−
Natural Language Understanding:
+
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.
−
http://www.jobsatcu.com/applicants/Central?quickFind=66325
 
  
 +
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.
  
−
The University of Colorado is an Equal Opportunity Employer committed to building a diverse workforce. We encourage applications from women, racial and ethnic minorities, individuals with disabilities and veterans. Alternative formats of this ad can be provided upon request for individuals with disabilities by contacting the ADA Coordinator at (303) 492-1334.
+
Review of applications will begin in November 2014 and will continue until the positions are filled.
  
−
The University of Colorado at Boulder conducts background checks on all final applicants being considered for employment.
+
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.

Revision as of 03:33, 4 March 2015

PhD-level Researchers in Language Technology or Computational Linguistics

  • Employer: UKP Lab, Technische Universität Darmstadt (Germany)
  • Title: PhD-level Researchers in Language Technology or Computational Linguistics
  • Topics: Natural Language Processing, Summarization, Opinion Mining
  • Location: Darmstadt (Germany)
  • Deadline: open until the position is filled
  • Date Posted: March 4, 2015
  • Contact: Prof. Iryna Gurevych apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de

Job Description

The newly established Research Training Group „Adaptive Information Processing of Heterogeneous Content“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg is filling several positions for three years, starting as soon as possible:

PhD-level Researchers in Language Technology or Computational Linguistics

The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:

  • A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
  • B1: Structured summaries of complex contents (TU Darmstadt)
  • B2: Content selection based on linked lexical resources (TU Darmstadt)
  • D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
  • D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)

The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research on multi-document summarization in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel summarization scenario for information preparation from heterogeneous sources. There will be close interaction with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

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

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

Requirements

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

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht-Karls-University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program „Semantic Processing“ with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.

Applications should include

  • a motivational letter that refers to one of the above listed guiding themes,
  • a CV with information about the applicant’s scientific work,
  • certifications of study and work experience,
  • as well as a thesis or other publications in electronic form.

They should be submitted until March 23th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de. The interviews may start any time. The positions are open until filled.


Research staff position in Natural Language Processing

  • Employer: UKP Lab, Technische Universität Darmstadt (Germany)
  • Title: Research staff position in Natural Language Processing
  • Topics: Natural Language Processing, Question Answering
  • Location: Darmstadt (Germany)
  • Deadline: open until the position is filled
  • Date Posted: March 4, 2015
  • Contact: Nicolai Erbs erbs@ukp.informatik.tu-darmstadt.de

Job Description

The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a research staff position (TV-TU E13 German payscale) with a focus on question answering and summarization of social media content. This DFG-funded basic research project conducts research integrating semantic text analysis, such as semantic role labeling (SRL), into higher-level applications in information access to improve their overall results (Principal Investigator: Prof. Dr. Iryna Gurevych). Thereby, we pay special attention to graph-based techniques.

The selected candidate will work with a large corpus from a social question-answer platform on the Web. He/she will be expected to identify interesting research problems, research ways of utilizing semantic role labeling in novel NLP tasks, and develop means and resources to evaluate the results. The newly established Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG [3] provides an excellent research environment for this kind of work. The funding is available for the duration of at least two years with an option for extension.

Requirements

We ask for applications from applicants in Computer Science or Computational Linguistics, preferably with completed PhD and research publications. Experience in Question Answering or a related field like summarization or information retrieval is a definite advantage. Excellent graduates of these disciplines willing to work towards a PhD are also encouraged to apply. Ideally, the candidates should have strong research skills as well as demonstrable experience in designing and implementing complex natural language processing (NLP) applications in Java and/or with graph-based algorithms. A very good command of German is a definite plus, since the target corpus is in the German language. Excellent communication skills in English and the ability to work in a team are required.

Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: erbs@ukp.informatik.tu-darmstadt.de by 23.03.2015. The position is open until filled.


PhD-position in NLP/Text Mining

  • Employer: UKP Lab, Technische Universität Darmstadt (Germany)
  • Title: PhD-position in NLP/Text Mining
  • Natural Language Processing, Text Mining
  • Location: Darmstadt (Germany)
  • Deadline: open until the position is filled
  • Date Posted: March 4, 2015
  • Contact: Richard Eckart de Castilho (eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de)

Job Description

The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a PhD student (TV-TU E13 German payscale) in a research project in Natural Language Processing (NLP) for a computer scientist or computational linguist. The project focusses on building an open text-mining infrastructure at the European level (Principal Investigator: Prof. Dr. Iryna Gurevych).

Thereby, major NLP and Text Mining platforms, including UIMA and GATE, should be made interoperable and applied to knowledge discovery in scientific literature, e.g. entity disambiguation and linking to a background knowledge repository. In the past, the UKP Lab has developed several frameworks such as the Darmstadt Knowledge Processing Repository (DKPro) and UBY. They form the foundation for the research and implementation work to be done. The graduate program Knowledge Discovery in Scientific Literature provides further research environment for the work to be carried out.

Requirements

Applicants in Computer Science or Computational Linguistics must have demonstrable experience in designing and implementing complex natural language processing (NLP) systems or NLP-based applications and the programming language Java as well as strong research skills. Excellent communication skills in English and the ability to work in a team are required. Experience in open-source software development is a plus.

The following academic qualification is necessary: completion of an M.A./M.Sc. in Computer Science, Computational Linguistics, or a related field.

Pending the successful completion of the ongoing administrative steps for the project, funding of this position is available from June 1st, 2015 for the duration of three years.

Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.

Interviews may start at any time and will continue until the position has been filled. Email address for inquiries and applications: eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The UKP Lab is also home to the unique research initiative "Knowledge Discovery in the Web” which emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge.

The Technische Universität Darmstadt promotes gender equality and in particular encourages women to apply. Preference will be given to physically handicapped persons if they are equally qualified.


Internship position available in Natural Language Processing at Adobe Research

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

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

Key Qualifications

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

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

Additional Requirements No.

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

Job Description

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

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

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

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

Required

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

Desired

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

For more information see the application link above.

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

Job Description

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

About the role

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

Key Responsibilities

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

About You

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

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

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

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

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

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

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

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

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

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

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

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

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


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

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

Job Description

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

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

Essential criteria

  • Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output.
  • Excellent programming skills (java or C/C++).
  • A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data Engineering).
  • Proven ability to communicate specialist ideas clearly in English using written media.
  • Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
  • A PhD in Computer Science or closely related area, or equivalent experience.

Desirable criteria

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

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

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

  • Employer: Allen Institute for Artificial Intelligence (AI2)
  • Title: Post-doc/Research Scientist
  • Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
  • Location: Seattle, WA
  • Deadline: N/A, we are hiring throughout 2015
  • Date posted: 12/9/2014
  • Contact information: ai2-info@allenai.org, allenai.org

Job Description

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

Position Summary

AI2 currently has projects in the following areas:

  • Language and Vision
  • Information extraction and semantic parsing
  • Question answering
  • Language and reasoning
  • Machine learning and theory formation
  • Semantic search
  • Diagram understanding

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

Applicant

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

Application Process

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

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

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

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

Key Qualifications

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

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

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

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

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

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

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

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

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

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

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

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

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

Retrieved from "https://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&oldid=10981"