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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
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* Archived postings:
 
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== 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU ==
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== Computational Linguist-Morphology ==
  
* Employer: CNGL, Dublin City University http://www.cngl.ie
+
* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US
* Rank or Title: PhD, Post-Doc and Research Programmer
+
* Title: Computational Linguist-Morphology
* Specialty: Machine Translation, Natural Language Processing, Parsing, Information Retrieval/Extraction, Text Analytics
+
* Specialty: Application of Finite State Transducers (FST) to language processing technologies, development of FST networks for languages, integration of morphological analyzers.
* Location: Dublin, Ireland
+
* Location: Various US Locations
* Deadline: February 25, 2013
+
* Deadline: Open
* Date Posted: January 30, 2013
+
* Date posted: June 19, 2016
* Start Date: March, 2013
+
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]
* Duration: 3 year (PhD), up to 2.5 years (Post-Doc)
+
* Contact email: dgroves@computing.dcu.ie
+
  
'''For More Details'''
 
  
http://www.cngl.ie/vacancies.html
+
EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.
  
'''Position Description'''
+
The Computational Linguist-Morphology provides unique expertise with the application of FST to language processing technologies, to include the development of FST networks for languages, the integration of morphological analyzers in multilingual databases/search engines and the development of APIs for managing FST I/O in a multilingual environment.
  
CNGL is a €50M+ Academia-Industry partnership, funded jointly by Science Foundation Ireland (SFI) and our industry partners, and is entering its second cycle of funding. CNGL is looking to fill multiple posts associated with its second phase which will focus on expansion of our work into the challenging areas of social text sources and multimedia content.
+
''Qualifications''
  
CNGL is an active collaboration between researchers at Dublin City University (DCU), Trinity College Dublin (TCD), University College Dublin (UCD), University of Limerick (UL), as well as 10 industrial partners, including SMEs, Microsoft, Symantec, Intel, DNP, and Welocalize.  
+
*A master's degree in computer science and/or linguistics, or in a related field; eight (8) years related experience in FST technologies for language applications may be substituted for a master's degree.
  
CNGL comprises over 100 researchers across the various institutions developing novel technologies addressing key challenges in the global digital content and services supply chain. CNGL is involved in a large number of European FP7 projects, as well as commercial projects in the areas of language technologies, information retrieval and digital content management. CNGL provides a world class collaborative research infrastructure, including excellent computing facilities, and administrative, management and fully integrated and dedicated on-site commercialisation support.
+
*Within the last ten (10) years, shall have a minimum of seven (7) years experience programming language networks in one or more FST applications such as XSFT, Stuttgart Finite State Transducer Toolkit, OpenFST, FOMA, or other product with equivalent functional capabilities.
  
The successful candidates will become part of the research team based at DCU, joining two leading academic MT/NLP/IR and Translation research groups (www.nclt.dcu.ie/, cttsdcu.wordpress.com/). The team’s location at DCU, minutes from Dublin city centre, offers a highly conducive environment for research, collaboration and innovation with a wealth of amenities on campus.
+
*Shall have a minimum of five (5) years experience coding with two (2) or more of the following: C, C++, or Java. Shall also have a minimum of five (5) years experience with Perl and/or Python scripting languages.
  
DCU is ranked in the TOP 50 of young universities worldwide (under 50 years old) (QS Ranking) and in the TOP 100 under the Times Higher Education (under 50 years) ranking scheme.
+
*Within the last ten (10) years, shall have a minimum of five (5) years experience with linguistics and language structure, language processing technologies, and/or with applying morphologies to multilingual databases/search engines.
  
The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.
+
*Shall have a minimum of five (5) years experience with two (2) or more foreign languages. Shall have demonstrated experience with international encodings, to include converting and handling multilingual encoding, such as UTF-8.
  
'''PhD Studentships'''
+
''Applicants must be United States citizens able to acquire a personal security clearance.''
  
*Parsing, Analytics and Information Extraction:
+
For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist-Morphology".
**Tuning Text Analytics to User-Generated Content: Parse quality estimation and targeted self-training.
+
**Extracting Events and Opinions from User-Generated Content: Deep parsing-based methods.
+
*Information Retrieval:
+
**Self-Managing Information Retrieval Technologies: Query, search technique and parameter selection in information retrieval applications
+
**Indexing and Search for Multimodal (Spoken/Visual) Content: Locating relevant content in multimodal sources
+
**Application of Text Analytics in Information Retrieval: Enhancing information retrieval using features from text analysis
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**Investigating Human-Computer Interaction Issues for Search and Discovery with Multimodal (spoken/Visual) Content
+
*Machine Translation:
+
**Syntax- and Semantics-Enhanced Machine Learning Based MT
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**Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search  
+
**Human interaction with MT output: Usability, Acceptability, Post-editing Research
+
**MT and Multimodal Interaction
+
**MT for Multimodal Cross Language Information Retrieval
+
  
'''Post-Doctoral Positions'''
+
== Computational Linguist ==
  
*Parsing, Analytics and Information Extraction:
+
* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US
**Extracting Events and Opinions from User-Generated Content: Parsing-based deep methods (up to 2 year contract)
+
* Title: Computational Linguist
**Extracting Events and Opinions from UGC: Shallow methods, including unsupervised methods (up to 2.5 year contract)
+
* Specialty: Integration of NLP Modules, Experimentation with User Interfaces for Analytic Support, Web Services for Querying Extracted Results.
*Machine Translation:
+
* Location: Various US Locations
**User/Human Centric MT (up to 2.5 year contract)
+
* Deadline: Open
 +
* Date posted: June 19, 2016
 +
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]
  
'''Post-Doctoral Positions'''
 
  
*Research Programmer (up to 2.5 year contract)
+
EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.
  
For more information please see: http://www.cngl.ie/vacancies.html
+
The Computational Linguist provides unique expertise with the application of computer science to language processing technologies, to include experimentation with, and integration of, unique NLP modules, experimentation with user interfaces for analytic support, web development, and development of web services for querying extracted results.  
  
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
+
''Qualifications''
  
* Employer: Nara Insititute of Science and Technology
+
*MA in computer science and/or linguistics, or in a related field (8 years related experience may be substituted for a Master's Degree).  
http://www.naist.jp/en/
+
* Rank or Title: Assistant Professor
+
* Specialty:  Foundation and/or Application areas of Natural Language Processing, Machine Translation, Web Mining and Grammatical Error Correction/Detection
+
* Location: Nara, Japan
+
* Deadline: February 28, 2013
+
* Date Posted: January 30, 2013
+
* Start Date: after April, 2013
+
* Duration: 5 years (reappointment is possible)
+
* Contact email: matsu@is.naist.jp
+
  
'''For Detailed Description'''
+
*Within the last 10 years shall have a minimum of 7 years experience each programming:  C, C++, or Java.
  
http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html
+
*Within the last 5 years, shall have a minimum of 3 years programming with two or more scripting languages (e.g. Perl, Python).
  
==Researchers - AT&T Labs Research==
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*Within the last 10 years, shall have a minimum of 5 years experience with linguistics and language structure, language processing technologies, and/or with applying ontologies to NLP applications.  
* Employer: AT&T Labs - Research
+
* Rank or Title: Researchers and Research Software Engineers
+
* Specialty: Natural Language Processing, Speech Processing, Machine Learning
+
* Location: NJ
+
* Deadline: Applications accepted until position is filled
+
* Date Posted: 8 January 2013
+
* Contact email: vkumar@research.att.com
+
  
'''Position Description'''
+
*A minimum of 5 years experience with two or more foreign languages is required.
  
AT&T Research, one of the premier industrial research laboratories in the world, is looking for
+
*Shall have demonstrated experience developing software in a Linux environment, with Semantic Web technologies (e.g. RDF, OWL), and with international encodings, to include converting and handling multilingual encoding, such as UTF - 8 is required.
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
+
''Applicants must be United States citizens able to acquire a personal security clearance.''
  
    * Large-vocabulary automatic speech recognition
+
For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist".
    * Acoustic and language modeling
+
    * Robust speech recognition
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    * Signal processing
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    * Text-to-speech synthesis
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    * Natural language understanding and dialog
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    * Machine translation (speech and text)
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    * Speaker biometrics
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    * Voice and multimodal search
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    * Software engineering for speech and language processing
+
  
Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).
+
== Research Associate/Fellow in Machine Learning, University of Sheffield, UK ==
 +
* Employer: [http://www.sheffield.ac.uk/ University of Sheffield], UK
 +
* Title: Research Associate/Fellow
 +
* Specialty: ML
 +
* Location: Sheffield
 +
* Deadline: July 18, 2016
 +
* Date posted: June 17, 2016
 +
* Contact: [mailto:l.specia@sheffield.ac.uk Prof. Lucia Specia]
  
Outstanding PhD-level candidates at all levels of experience and experienced M.S. candidates
 
are encouraged to apply.  Interviews will be conducted in early 2013.  For more information,
 
visit http://www.research.att.com/ and click on "Working with us", or access the page directly:
 
  
http://www.research.att.com/evergreen/working_with_us/careers.html
+
We have an opening for a 3-year position of Research Associate or Research Fellow in Machine Learning with applications to Machine Translation and Multimodal Language Processing. This position is funded by the ERC MultiMT project: Multi-modal Context Modelling for Machine Translation, led by Prof. Lucia Specia (www.dcs.shef.ac.uk/~lucia) at the University of Sheffield.
  
Candidates must demonstrate a proven research track record and the ability to identify technical
+
This is a highly interdisciplinary project involving Natural Language Processing, Computer Vision and Machine Learning. Its goal is to devise methods and algorithms to exploit global multi-modal information for context modelling in Machine Translation. The post holder will be expected to investigate new ways to acquire multilingual multi-modal representations, and new machine learning and inference algorithms that can learn from these rich context models to generate high quality translations. In addition, if appointed as Research Fellow, the post holder will be expected to make significant contributions to multi-modal language processing in general, drawing from their experience in Computer Vision and Natural Language Processing.
problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++)
+
are desired. Access to massive amounts of real-world data, the ability to work with internal and external
+
collaborators across departments, the possibility of making an impact by developing solutions that will be used
+
by millions, and the freedom to publish your results are some of the reasons AT&T Labs -
+
Research is an exciting place to work.  
+
  
AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.
+
This is an opportunity to work in a well-connected international team with world-leading reputation in the Natural Language Processing (NLP) research group at the University of Sheffield. The NLP group is well known internationally for its research, and is one of the largest research groups in the area in Europe.
  
==Engineer 4, NLP Software Development - Comcast Corporation (Washington DC or Philadelphia PA)==
+
This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):
* Employer: Comcast
+
* Rank or Title: Engineer 4
+
* Specialty: Natural Language Processing, Speech Recognition, Machine Learning
+
* Location: Washington DC or Philadelphia
+
* Deadline: Applications accepted until position is filled
+
* Date Posted: 6 December 2012
+
* Contact email: brian_curtis@cable.comcast.com
+
  
'''Position Description'''
+
* PhD (or equivalent work experience) in Computer Science, Statistics, Mathematics or related areas
 +
* Significant experience and track record in Machine Learning (RA and RF)
 +
* Strong publication record commensurate with career stage (RA and RF)
 +
* Experience and strong track record in Computer Vision (desirable for RA, required for RF)
 +
* Experience and strong track record in Natural Language Processing (desirable for both RA and RF)
 +
* Strong programming experience, particularly in Python or C++. (RA and RF)
  
Comcast is the largest cable TV company in the world. We are looking for talented engineers to help us shape the future of content discovery for television.  
+
This post is fixed-term with a start date from August 2016 (or soon after) and duration of ''3 years'' with possibility of extension to ''5 years''.
  
To help get us there, we are hiring an experienced software engineer to develop new technology and adapt/apply existing technologies to NLP problems for the Comcast Voice Control platform. This position is part of a small team that uses Speech Recognition, Natural Language Understanding/Processing, Machine Learning along with search technologies such as SOLR/Lucene, tf/idf and relevance ranking, to extract contextually correct entity and verb semantics from speech and apply them to real world solutions across millions of connected homes.
+
'''Salary range''': £28,847 to £46,414 per annum.
  
'''About you'''
+
For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk
  
* Education Level: Bachelors Degree or Equivalent
+
For more information about the post and for '''applications''': http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018
* Field of Study: Computer Science, Engineering
+
* Extensive experience using Java technologies including J2SE, XML/XSLT, Apache Jakarta components and other open source software.
+
* Experience with statistical/modeling techniques such as CRF, HMM, SVM, KNN.
+
* Experience with Topic Classification, Parsing, Narrative Thread analysis, parts of speech tagging, Sphinx, metadata extraction.
+
* Experience with machine learning and/or algorithms.
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* Experience with Hibernate, MySQL and/or NoSQL, preferably Hadoop/HBase.
+
* Experience with search technologies such as SOLR/Lucene and/or recommender systems.
+
* Experience with and understanding of Unix systems (RHEL) desirable.
+
* Experience in Agile development methodologies.
+
* Strong problem solving ability with excellent written/verbal communication and presentation skills.
+
  
  
If you are interested in this position and you think you might have what it takes, send your resume to brian_curtis@cable.comcast.com.
 
  
 +
== Doctoral Researcher at UKP/KRITIS, TU Darmstadt ==
  
 +
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 +
* Title: Doctoral researcher
 +
* Specialty: NLP
 +
* Location: Darmstadt
 +
* Deadline: July 10, 2016
 +
* Date posted: June 10, 2016
 +
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]
  
 +
KRITIS ("Kritische Infrastrukturen: Konstruktion, Funktionskrisen und Schutz in Städten"), a new interdisciplinary research training group at Technsiche Universität Darmstadt and funded through the German Research Foundation, is currently seeking a '''Doctoral Researcher''' to start on 1 October 2016.
  
==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==
+
KRITIS researches systems for technical supply and disposal, and for communication and transport, which have become the central nervous system of modern cities. Their disruption can trigger dramatic crises.  Modern city infrastructures are increasingly vulnerable not only to external threats (natural disasters, terrorist attacks, and cyber attacks) but also due to their inherent complexity and interdependence. Our aim is to understand and describe these complex systems in their spatial and temporal contexts.  This is done in three main research areas:
* Employer: Nuance Communications, Inc.
+
* Rank or Title: NLP Research Scientist
+
* Specialty: Computational Linguistics, Natural Language Processing, Dialog Systems
+
* Location: Sunnyvale, CA, USA
+
* Deadline: Applications accepted until position is filled
+
* Date Posted: November 20th, 2012
+
* Contact email: Jennifer.Garvale@nuance.com
+
  
'''General Description'''
+
# We want to ensure that technical infrastructures are constructed with the term "critical" in mind.  We therefore ask what technical-functional needs, and political and social considerations, are relevant, and how these vary according to the systems' historical and spacial context.
 +
# We assume that the complex spatial and temporal arrangements become particularly visible during infrastructural-functional crises.  We therefore investigate failures of urban infrastructures, including the conditions contributing to their vulnerability or resilience.
 +
# Finally, we ask how we can best organize protection against or preparation for infrastructural-functional crises (so-called "prevention and preparedness").
  
Nuance is the world-wide leader in voice technologies. We are now making substantial research and development investments to add natural language processing capabilities to our speech infrastructure. We are expanding our new Silicon Valley Natural Language Research laboratory. The goal of this group is to develop the next generation of intelligent, conversational agents. We seek research scientists with the following backgrounds:
+
Research in the training group takes an interdisciplinary approach, with cooperation among the following specialities: space and infrastructure planning, modern and contemporary history, medieval history, philosophy of technology, comparative analysis of political systems, ubiquitous knowledge processing, urban design and planning, rail systems, and computer science for architecture and construction.
  
* Dialog processing
+
In this area, the discipline of ubiquitous knowledge processing (Prof. Iryna Gurevych) is concerned with the interactions between urban infrastructure (e.g., transport, telecommunications), communication in social media, and the relevant spatial and temporal analysis methods from the perspective of adaptive information and text processing.  This will be of particular interest to doctoral candidates in the fields of real-time text analysis which can be applied to the early detection of crises, to public opinion-making, or to crisis management through automated evaluation of (online) content such as Twitter.
* Discourse and anaphora resolution
+
* Multimodal generation
+
* Parsing
+
* Entity recognition
+
* Morphology
+
* Multilingual NLP
+
* Semantic interpretation
+
  
'''Responsibilities'''
+
Possible dissertation topics include:
 +
* Social-spatial differences of criticality: location- and class-specific text-analytic mining of argumentation on urban infrastructure in social media
 +
* Mining of arguments on urban infrastructure in social media for cascading reactions (i.e., spatio-temporal spread of social media responses to the collapse of urban infrastructure)
 +
* Early recognition of vulnerability: Real-time monitoring of information on hazards to urban infrastructure in social media
 +
* User expectations on the speed of resolution of infrastructural failures – comparison and analysis of tweets across national boundaries
  
* Ownership of a major component of the conversational system.
+
For discussion or advice on further possible research topics and organizational issues, please contact Prof. Iryna Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].
* Conduct research on the dialog, generation, or reasoning components, and incorporate the latest advances from major conferences in the field.
+
* Adapt existing components within Nuance and from previous research in the field to a new problem space and domain.
+
* Understand the trade-offs between multiple competing approaches, and choose the ones that are likely to have future impact on the company's products.  
+
* Design components in a way that will generalize across domains. Minimize the code change and human effort needed for the system to work in a new domain.
+
* Collaborate with other scientists and engineers inside and outside of the team.
+
* Patent or publish experimental results or designs when appropriate.  
+
  
'''Education/Experience'''
+
'''Requirements:''' The successful applicants should produce a doctoral dissertation related to one or more of the above-noted research priorities. This dissertation should be completed within three years and submitted to one of the departments of Technische Universität Darmstadt. Further information on KRITIS's scientific program and its participating professors will be available soon on the following website:  [http://www.kritis.tu-darmstadt.de http://www.kritis.tu-darmstadt.de]
* Ph.D. in computer science, computational linguistics, linguistics, or another technical field with a focus on natural language processing.
+
* Solid track record in both projects and publications for natural language processing.
+
* Solid implementation skills in C++, Java, scripting languages.  
+
* Knowledge of both statistical and rule-based methods for natural language processing.
+
  
 +
It is expected that all members of the research training group will be intensively engaged in interdisciplinary cooperation leading to scholarly publications and lectures.  To this end, regular participation in seminars, symposia, workshops, etc. is required, which necessitates the doctoral candidates being domiciled in the Rhine-Main area.
  
Interested candidates should contact Jennifer Garvale at Jennifer.Garvale@nuance.comFor additional information about the technical aspects of the position, feel free to contact Joel Tetreault at Joel.Tetreault@nuance.com. 
+
'''Working environment and conditions:'''  KRITIS offers an excellent research infrastructure for doctoral students who wish to carry out their own research project within an innovative and internationally networked program. The members of the group work in shared offices under the support and patronage of participating professorsAmong the special services include the possibility of a financed stay abroad in one of four internationally renowned partner universities.  We also work with various partners in the private and public sector (companies, government offices, and other organizations) at which candidates can complete internships.
  
 +
Salaries for doctoral candidates depend on qualifications and experience, and will be in line with the collective agreement for employees at TU Darmstadt (TV-TU Darmstadt).  The positions are limited to three years and include, depending on the field, 65% to 100% (full-time) employment.
  
 +
'''Your application:'''  TU Darmstadt strives to increase its number of female employees, and as such particularly encourages women to apply.  All other things being equal, applicants who have a degree of disability of at least 50% (or the equivalent) will receive preference.  Please prepare your application in English or German, and compressed as a single file (up to 6 MB).  Applications should be sent by e-mail to Prof. Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by '''10 July 2016'''.  The application should include a CV listing language skills and overseas experience, scanned copies of academic credentials, and a sketch of up to five pages for a doctoral project.
  
==Postdoctoral Fellowship - Natural Language Processing==
+
We look forward to receiving your application!
* Employer: University of Cincinnati and Cincinnati Children's Hospital Medical Center
+
* Rank or Title: Postdoctoral Fellow - Natural Language Processing
+
* Specialty: Computational Linguistics, Natural Language Processing, Natural Language Generation
+
* Location: Cincinnati, OH, USA
+
* Deadline: Applications accepted until position is filled
+
* Date Posted: November 9th, 2012
+
* Contact email Imre.Solti@cchmc.org
+
  
'''Position and Requirements'''
+
== Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg ==
Are you a recent PhD graduate or getting ready to graduate with a degree in computational linguistics, computer science, artificial intelligence or closely related field? Do you want to apply your computational skills, machine learning and NLP experience to solve real world challenges to help patients by automating the clinical decision making? Do you have excellent command of both written and oral English, and first author peer reviewed journal publications?
+
  
If the answers are yes and you would like to join our team of seven dedicated researchers, programmers and annotators then please, send your most recent CV, a brief research statement and three publications in PDF file format to: Imre.Solti@cchmc.org (include "Postdoctoral Fellow - ACL Wiki" in the subject line).
+
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] and/or [http://www.uni-heidelberg.de/ Ruprecht-Karls-University Heidelberg], Germany
 +
* Title: Doctoral researcher
 +
* Specialty: NLP
 +
* Location: Darmstadt and/or Heidelberg, Germany
 +
* Deadline: June 30, 2016
 +
* Date posted: June 6, 2016
 +
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
  
We provide competitive salaries and excellent benefits. We will sponsor H1B visas for qualified candidates as necessary.
+
The Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling a position for three years, starting as soon as possible: '''Doctoral Researcher in Natural Language Processing'''
  
'''About the Institution'''
+
The position provides the opportunity to obtain a doctoral degree with an emphasis on the guiding theme D1: Multi-level models of information quality, under the leadership of Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt). A possible research focus of the position is an automatic claim checking with its applications in the domain of computational journalism. However, other suitable topics may be proposed as well. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.  
Cincinnati Children's has over one million physician-patient encounters a year and is the second largest recipient of NIH funding among children hospitals. The hospital has over 12,000 employees. The Division of Biomedical Informatics manages a state-of-the-art 500+ CPU computing cluster. The research of the Solti Lab is funded from institutional and external (NIH) grants.
+
  
 +
The goal of AIPHES is to conduct innovative research in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are being developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There exists close interaction with end users who prepare textual documents in an online editorial office and therefore profit from the results of AIPHES.
  
== Research Programmer position - speech and language processing ==
+
Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler, Dr. Meyer), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann). Participants at the Ruprecht‑Karls‑University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.  
* Employer: University of Minnesota
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* Location: Minneapolis, Minnesota, USA
+
* Deadline: open until filled
+
* Date posted: November 7, 2012
+
* Duration: Minimum 2 years committment
+
* Informal inquiries can be sent to Serguei Pakhomov at spakh001@gmail.com
+
  
'''General Description'''
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AIPHES emphasizes close contact between students and their advisors, has regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and actively supports its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.
The College of Pharamcy at the University of Minnesota is seeking a talented, pro-active and innovative individual for a Research Programmer position to work on several projects in Center for Clinical and Cognitive Neuropharmacology (C3N). C3N is engaged in conducting interdisciplinary research focused on cognitive effects of medications and neurodegenerative disorders such as Alzheimer’s disease. Computerized assessment is used to measure these cognitive effects. The successful candidate for this position will be responsible for a variety of computer-related tasks including creating and maintaining innovative computer-based neuropsychological testing applications that involve spontaneous speech and language collection and analysis. The successful candidate will also be expected to interact with graduate and undergraduate students on specific programming and research projects to meet the needs of the Center.
+
  
'''Skills and characteristics'''
+
'''Prerequisites'''
  
* Education: Master’s degree in computer science, electrical engineering, computational linguistics or equivalent combination of training and experience
+
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.
  
* Required Skills: Excellent analytical, technical and problem-solving skills. Deep understanding and experience with audio and speech processing. Strong application programming skills in C/C++, Java, Python and/or Perl programming languages. Familiarity with speech recognition toolkits and APIs (e.g., HTK, Sphinx, KALDI, SRILM), acoustic analysis tools (e.g., Praat) and good understanding or experience with speech recognition and analysis technology.
+
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.  
  
* Preferred skills and characteristics: Familiarity with natural language processing (NLP) techniques and toolkits (e.g., NLTK). Experience with programming applications for mobile devices. Familiarity with computerized or paper-and-pencil neuropsychological testing.
+
Applications should include:  
  
* Other: The successful candidate will be a self-motivated and proactive individual, a good communicator interested in working in an academic environment. Participating in research and experimentation leading to scientific publication are not required but would be highly encouraged and supported.
+
* a motivational letter explaining the applicant’s possible contribution to the guiding theme D1,
 +
* a CV with information about the applicant’s scientific work,
 +
* certifications of study and work experience,
 +
* as well as a thesis or other publications in electronic form.
  
If you are someone who has the necessary skills and thrives on working in an exciting and dynamic research environment, please send us a letter stating your interest and qualifications, and a resume. Please use this website to apply: https://employment.umn.edu/applicants/jsp/shared/position/JobDetails_css.jsp?postingId=576008.
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They should be submitted until June 30th, 2016 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].  
  
 +
== Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt ==
  
 +
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 +
* Title: Full Professor
 +
* Specialty: Real-Time Data Analytics, with interdisciplinary experience in NLP
 +
* Location: Darmstadt, Germany
 +
* Deadline: July 6, 2016
 +
* Date posted: June 1, 2016
 +
* Contact: [mailto:dekanat@informatik.tu-darmstadt.de dekanat@informatik.tu-darmstadt.de] (for applications); [mailto:gurevych@ukp.informatik.tu-darmstadt.de Iryna Gurevych] (for further information)
  
== One Postdoctoral Position In Statistical Machine Translation - Sapienza University of Rome (Italy) ==
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The Department of Computer Science at Technische Universität Darmstadt invites applications for the position of '''Full Professor (W3) for Real-Time Data Analytics''' to be appointed as soon as possible.
* Employer: Sapienza University of Rome
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* Location: Rome, Italy
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* Deadline: 18th October 2012
+
* Date Posted: 01st October 2012
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* Starting date: 1st December 2012
+
* Duration: 1+1 years
+
* Salary: 35000-50000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month)..
+
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).
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One position of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing is open in the Department of Computer Science of the Sapienza University of Rome, with a specific focus on statistical machine translation for Asian languages. The position is part of a 5-year ERC Starting Grant on multilingual Word Sense Disambiguation funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidate will participate in a frontier research project and will work in the stimulating environment of a leading and highly-active research team comprising 2 faculty members, 2 post-docs and 6 Ph.D. students.
+
We are seeking an outstanding researcher to establish the Department’s new area of real-time data analytics through research and teaching. The main focus of the professorship will be on excellent, method-oriented research, with close links to systems and applications. It is also expected that the successful candidate plays a formative role in cross-department and interdisciplinary research activities; the bridge to engineering departments of the university, in particular to the department of mechanical engineering, is particularly important in this respect.  
  
'''REQUIREMENTS/QUALIFICATIONS'''
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Relevant topics include real-time data analytics on dynamic data streams of various types (including sensor data, text, and images), adaptive information processing and integration, and interactive machine learning.  Further topics of research include data analysis and its applications in the mining of data and data streams of heterogeneous nature, quality, and quantity and in the support of decision-making processes, decision management, and the creation of self-organizing systems.  Example application areas include automotive engineering, transport and logistics, and cognitive information processing for information validation on the Web.
  
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
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We expect applicants to have interdisciplinary experience in the use of data analysis methods in cooperation with scientists from other fields as well as with industrial partners. The professorship is intended to strengthen those profile areas of TU Darmstadt in which real-time requirements and interactivity play a central role, such as the Internet and digitization and their associated research fields such as data science, Industry 4.0, autonomous driving, smart transport and energy networks, smart buildings, but also '''natural language processing''', cognitive science, and cybersecurity.
* Strong publication record in Statistical Machine Translation. Publication record in lexical semantics is a plus.
+
* Willingness to coordinate and supervise part of the research work of the ERC project.
+
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
+
* Fluent English. Proficiency in at least two major Asian languages. Knowledge of Italian is NOT a requirement.
+
* Solid programming skills.
+
  
'''HOW TO APPLY'''
+
In addition to an outstanding academic CV, applicants must demonstrate a strong commitment to teaching computer science (incl. foundational courses) at the Bachelor’s and Master’s levels.  A willingness to participate in academic self-administration is also expected.
  
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL3-2012) in the subject line.
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Technische Universität Darmstadt is an autonomous university with a wide-ranging excellence in research, an interdisciplinary profile, and a strong focus on engineering as well as on information and communication technologies. Our Department is one of the leading national Computer Science departments and regularly ranked in the top group in national rankings.
  
'''ABOUT LA SAPIENZA'''
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Employment will be on a non-tariff basis, with qualification-based compensation based on the German W-level salary.  Applicants who are already professors classed as German civil servants (''Beamter'') can retain this status.  Employment regulations from §§61 and 62 of the ''Hessisches Hochschulgesetz'' apply.
  
The Sapienza University of Rome is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at the Sapienza. The Sapienza University is an equal opportunity employer.
+
Technische Universität Darmstadt is committed to increase the proportion of female scientific staff and therefore particularly encourages women to apply. All other things being equal, we will give preference to candidates with a degree of disability of at least 50 (or the equivalent).
  
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
+
Applications, including all the usual supporting documents, should be submitted to the Dean of the Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, 64289 Darmstadt, Germany, e-mail dekanat@informatik.tu-darmstadt.de.  Please quote '''reference No. 244'''.
  
The Department of Computer Science is a modern, well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated just beside the main Sapienza University campus and is in easy walking distance of San Lorenzo, a nice lively area with lots of bookshop-cafes, bars and restaurants. Prospective candidates should not be afraid of the language barrier, as Italians are in general very friendly.
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For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de
  
==Postdoc or Research Associate - Natural Language Processing==
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==NLP Postdoctoral Researcher at UNSW, Australia==
* Employer: IHMC (www.ihmc.us)
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* Rank or Title: Research Associate - Natural Language Processing
+
* Specialty: Computational Linguistics, Natural Language Processing, in particular dialogue processing
+
* Location: Ocala, FL
+
* Deadline: Applications accepted until position is filled
+
* Date Posted: September 26th, 2012
+
* Contact email ywilks@ihmc.us
+
  
'''About Us'''
+
* Employer: The University of New South Wales, Australia
IHMC (www.ihmc.us) is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
+
* Title: Research Associate/Fellow
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.
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* Specialty: NLP, Knowledge Graph
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.
+
* Location: Sydney, Australia
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.
+
* Deadline: June 6th, 2016
 +
* Date posted: May 14th, 2016
 +
* Contact: Wei Wang (weiw@cse.unsw.edu.au)
  
The candidate will be appointed on a new  project on dialogue processing, due to start in the coming months and run for one year initially, with extensions expected. The aim of the project is to produce a prototype conversational Companion-in-an-iPad for a brain-damaged patient in a domestic setting. 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.
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'''POSITION DESCRIPTION'''
 +
 
 +
A postdoctoral position is available in School of Computer Science and
 +
Engineering at the University of New South Wales, Australia. The successful
 +
candidate will work with Dr. Wei Wang on utilizing Natural language processing
 +
(NLP), data mining, and semantic web to develop novel algorithms, tools and
 +
methods for constructing and maintaining domain-specific knowledge graphs from
 +
vast amount of unstructured/semi-structured data sources. This position is
 +
funded by Data to Decisions Cooperative Research Centre (D2D CRC), which was
 +
established in 2014 with a grant of A$25 million from the Australian Government,
 +
researchers and industry to provide the Big Data capability resulting in a safer
 +
and more secure nation and a sustainable Big Data workforce for Australia.
 +
 
 +
 
 +
'''POSITION REQUIREMENTS'''
 +
 
 +
Essential criteria:
 +
 
 +
* Proven ability to undertake research in a relevant research area (e.g. natural language processing, data mining, knowledge graph) at an international level, as evidenced by research output.
 +
* Excellent programming skills (java or C/C++).
 +
* A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, KDD, IJCAI, AAAI, ICML, NIPS, SIGMOD, VLDB) and journals.
 +
* Proven ability to communicate specialist ideas clearly in English using written media.
 +
* Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
 +
* A PhD in Computer Science or closely related area, or equivalent experience. Candidates with pending degrees who will successfully defend their dissertations by August 1, 2016 will also be considered.
 +
 
 +
 
 +
Desirable criteria:
 +
 
 +
* Knowledge of statistical natural language processing.
 +
* Knowledge of knowledge graph construction and applications.
 +
* Experience with analysing large text corpora using a high-performance computing environment.
 +
* Experience with python/R
 +
 
 +
 
 +
'''SALARY RANGE AND CONTRACT LENGTH'''
 +
 
 +
* Research Associate:  A$86,438 - A$92,453 per year  (plus employer superannuation)
 +
* Research Fellow:    A$97,090 - A$114,454 per year (plus employer superannuation)
 +
 
 +
This is a fixed term position of one year with further renewal up to January 2019, subject to funding.
 
   
 
   
Required:
 
  
▪ Natural language processing / computational linguistics background. Ideal: dialogue applications experience (in NLP not ASR),
+
'''ENVIRONMENT'''
  
▪ Substantial skills in processing corpora. Ideal: Java skills and standard statistical procedures.
+
The School of Computer Science and Engineering in UNSW, located in Sydney, is
 +
one of the largest and leading computing schools in Australia. It offers both
 +
undergraduate and postgraduate programs in Software Engineering, Computer
 +
Engineering, Computer Science and Bioinformatics, as well as a number of
 +
combined degrees with other disciplines. It attracts excellent students who have
 +
an outstanding record in international competitions (such as Robocup).
  
▪ Ph.D. in computational linguistics or some equivalent in terms of experience in natural language processing or related areas.
 
  
Skills and Experience:
+
'''APPLICATION'''
  
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+
Please send a statement of interest, an academic CV (in pdf format) to Wei Wang
 +
(weiw@cse.unsw.edu.au) with the subject line starting with "[CRCPostdoc]". For
 +
informal queries, please send an email to weiw@cse.unsw.edu.au.
  
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, RDF-style data, speech-language interfaces, information extraction, text classification, evaluation methodologies.
 
  
▪ Familiarity with existing data resources and tools: Wordnet, GATE, Nuance ASR, NLTK, Weka, and similar tools.
 
  
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
 
  
Apply to Yorick Wilks at: ywilks@ihmc.us
 
  
  
== NLP Research Scientist - Pacific Northwest National Laboratory ==
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==Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science==
  
NLP Research Scientist wanted for work impacting National Security
+
* Employer: University of Pennsylvania
Company: Pacific Northwest National Laboratory
+
* Title: Postdoctoral Researcher
Job ID: 301731  http://www.jobs.pnnl.gov/
+
* Specialty: NLP
Location: PNNL - Richland, WA
+
* Location: Philadelphia, PA
Contact: jill.schroeder@pnnl.gov
+
* Deadline: May 15th, 2016
 +
* Date posted: April 26th, 2016
 +
* Contact: Professor Lyle Ungar: ungar@cis.upenn.edu
  
This position requires significant contributions to the development and evolvement of natural language processing research at PNNL. The incumbent will possess skills in both natural language processing and software design and development. Expertise in natural language processing should include one or more applications including, but not limited to, information extraction, knowledge base population, machine reading, sentiment analysis and social media analytics. Software development skills should include, but are not limited to, object oriented programming and development, data modeling, building demonstrable and functional prototypes, and contributing to deployment-ready software.
+
'''Summary'''
  
In carrying out these duties, the incumbent will be responsible for maintaining strategic alliances with specified clients, managing individual or small team assignments for multiple projects, performing assignments with minimal oversight, working effectively within interdisciplinary development teams, and contributing to proposals, publications and presentations.  
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We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression.
 +
The primary responsibility will, of course, be producing top-quality published research in areas of interest to you and the WWBP team. You will be expected to lead multiple peer-reviewed publications each year and to support (as secondary author and technical expert) many more publications.  As part of that latter process, we would like you to serve as the equivalent of a “Chief Technology Officer” of the WWBP, providing technical oversight and mentoring to the programmers and data scientists who build and maintain our software and hardware infrastructure, and who do the vast bulk of the data collection and analysis for the WWBP.  
  
Specific responsibilities include:
+
The ideal candidate will have research experience in computational linguistics and applied machine learning. They will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwp.org for example publications.
- apply computational linguistics approaches and algorithms
+
- contribute to the translation of client requests and needs into a set of project requirements and tasks
+
- contribute to software design
+
- construct functional applications and prototypes using PHP, Perl, Python and Java
+
- perform algorithmic development and implementation, especially as they pertain to NLP
+
- evaluate natural language processing methods and results  
+
- develop client server and database aware applications
+
- design and implement graphical user interfaces
+
- develop on Linux and Windows environments
+
- effectively manage individual tasks, schedule, workload, budget, and deadlines
+
- contribute to technical presentations and demonstrations of designs, prototypes and operational software to existing and potential clients; group, division, and sector managers
+
- contribute to or lead efforts in publishing research
+
- help grow the natural language processing business portfolio through proposal writing and client engagement
+
  
  
Responsibilities & Accountabilities:  
+
Approximate Start Date: Summer 2016
  
This position reports to the Technical Group manager for Knowledge Discovery and Informatics within PNNL’s National Security Directorate, and is responsible for work activity as assigned by PNNL project managers for both internal and external clients. The incumbent is expected to develop knowledge of the goals of any projects to which they are assigned and the clients they support. The incumbent is expected to maintain a customer-service focus commensurate with this position.
 
  
The incumbent normally receives task instructions from their project managers, which are performed with minimal oversight. The incumbent will work both as task lead, and as a staff member under the direction of project managers and senior software scientists. The incumbent will be expected to attend regular project meetings and KDI group meetings. The incumbent may also be expected to attend offsite team meetings with other team members, clients, and users.
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'''How to Apply'''
  
A level II scientist contributes to the completion of project milestones by leading specific tasks of the project to meet scope, schedule and budget. Level II scientists are contributing professionals who are building a professional reputation for their technical expertise in NLP. They are expected to continue to develop their technical expertise and knowledge, and develop new skills. In addition, strong contributions to the technical content of proposals will be made.  
+
Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.  
  
A level III scientist will lead small to moderate research projects, contribute to the completion of programs and projects, and mentor other staff members. Level III scientists will be skilled professionals able to apply existing NLP methods to new work and will maintain skills consistent with the state of the art in NLP.  Level III scientists will generate ideas for new proposals and lead the development of technical content for small to medium proposals, and will contribute to scoping, scheduling and budgeting for projects.  . 
 
Minimum Requirements 
 
Level II:
 
A Bachelor's degree with 2-3 years experience or a Master's degree with 0-2 years experience or a Ph.D. is required.  Expected to contribute professionally, building a professional reputation for technical expertise.  Fully applying and interpreting standard theories, principles, methods, tools and technologies.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States.
 
  
Level III:
 
A Bachelor's degree with at least 5 years experience or a Master's degree with 3 years experience or a Ph.D. with 1-2 years experience is required.  Must be a skilled professional who applies a broad basis of existing theories, principles, and concepts to a specialty field.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. 
 
Qualifications 
 
Professional Expertise: Expertise in NLP algorithm development and strong software design and development skills.
 
  
Work-related Experience:
 
- Demonstrated ability and willingness to perform as a team member on multiple projects simultaneously and work effectively in a fast-paced, dynamic team environment with high expectations for quality.
 
- Experience leading project teams in research, design and development a plus.
 
  
Breadth of Relevant Specialized Knowledge and Skills:
+
==Research Scientist, Natural Language Processing==
- Well-developed oral and written communication skills, including ability to convey complex technical information accurately.
+
- Above-average client interaction skills including the ability to quickly understand a client’s business needs and communicate at the proper level of detail
+
- Proficient in the use of Windows, Macintosh, and Linux environments 
+
Preferred Education/Credential 
+
A PhD in computational linguistics is preferred.
+
  
Level II:  
+
* Employer: EMR.AI Inc.
PhD in computational linguistics, natural language processing or related field within the last 5 years or Masters of Science in computer engineering, computer science or related field and 1+ years of experience in NLP within the last 5 years
+
* Title: Research Scientist
 +
* Specialty: NLP
 +
* Location: San Francisco, CA
 +
* Deadline: May 20th, 2016
 +
* Date posted: April 21th, 2016
 +
* Contact: David Suendermann-Oeft ([mailto:david@emr.ai david@emr.ai])
  
Level III PREFERRED:
+
Headquartered in San Francisco, CA, EMR.AI Inc. is a leading provider of AI solutions to the medical sector. EMR.AI transforms unstructured information, in form of written, spoken, or typed reports, clinical test results, and radiographs into international standard codes saved in common EMR systems. The wealth of discrete medical data provided through this transformation in conjunction with EMR.AI's suite of medical analytics solutions enables stakeholders, practitioners, researchers, health providers, and policy makers to obtain a comprehensive picture of the available medical data in their organization.
PhD in computational linguistics, natural language processing or related field and 1-2 years of experience in NLP within the last 5 years  or Masters of Science in computer engineering, computer science or related field and + years of experience in NLP within the last 5 years 
+
Equal Employment Opportunity 
+
Pacific Northwest National Laboratory (PNNL) is an Affirmative Action / Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States.
+
Other Information 
+
This position requires the ability to obtain a federal security clearance in a timely manner. Which requires: 
+
* US Citizenship
+
* Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
+
* Drug Testing:  All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing.  In addition, applicants must be able to demonstrate non-use of illegal drugs for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).  
+
  
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs for 12 consecutive months can be demonstrated.
+
'''Summary'''
  
== Faculty Positions (open rank) in multiple areas, particularly Biomedical NLP / Text Mining, The Ohio State University (Columbus, OH, USA) ==
+
EMR.AI Research & Development has openings for Research Scientists in the field of Natural Language Processing in our Downtown San Francisco offices. Scientists will work on projects spanning a variety of tasks including the semantic interpretation of written and spoken medical reports, the design of language models for a variety of NLP tasks and speech recognition, the summarization of written and spoken language in the medical domain, the incorporation of lexica, ontologies, relational databases, and other sources of structured and unstructured knowledge sources into EMR.AI’s medical NLP tool set, and others.
* Employer: The Ohio State University, Dept. of Computer Science & Engineering and Dept. of Biomedical Informatics
+
* Rank or Title: Assistant, Associate, or Full Professor
+
* Specialty: Multiple openings, including targeted hire in Biomedical Natural Language Processing / Text Mining
+
* Location: Columbus, OH USA
+
* Deadline: Review of applications will begin in November and continue until the positions are filled
+
* Date Posted: August 30, 2012
+
* Contact email or link to website: http://www.cse.ohio-state.edu/department/positions.shtml
+
  
The Computer Science and Engineering Department at the Ohio State University seeks faculty candidates for multiple tenured or tenure-track appointments at the assistant, associate or full professor level. The department is slated for significant growth as part of a multi-year expansion in size and scope, including targeted faculty hires in core areas as well as in areas that bridge CS with other disciplines. The specific searches being conducted this year include:
+
This is a unique opportunity to be part of a cutting-edge R&D team in the epicenter of the world’s AI tech industry with true impact on medical research.
  
* One targeted position, open rank, in the area of big data, broadly defined. These include, but are not limited to, applicants that have core training in databases, systems, data analytics, or cloud computing, with experience in managing and analyzing big data stores.
+
'''Responsibilities'''
* One targeted position, open rank, in the area of cybersecurity, broadly defined. We are specifically interested in applicants with research interests in network security, physical layer/information theoretic security, cyberphysical systems, data privacy, cryptography, or programming language security.
+
* One targeted position, open rank, at the interface of computer science and mathematics broadly defined. We are specifically interested in researchers working in theoretical computer science, scientific computing, or complex systems.
+
* Multiple targeted positions, open rank, jointly searched with the Department of Biomedical Informatics. Priority consideration will be given to applicants whose research interests lie in the processing of biomedical text (e.g. NLP or text mining) as well as those interested in the multi-scale modeling and visualization of high-throughput and/or high-content molecular or image data. Outstanding applicants in other areas at the intersection of biology, clinical science, informatics, and computer science will also be considered.
+
* In addition to the above targeted searches the department is conducting a search for an additional position (open rank) that is open to all areas of computer science and engineering.
+
  
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
+
* Process huge corpora of medical textual documents to perform syntactic and semantic analyses and train, tune, and test probabilistic and other data-driven models, using both existing tool benches, proprietary and open-source, as well as self-developed algorithms and techniques.
 +
* Produce high-quality programs and scripts to embed scientific algorithms into effective prototypes and demos to be shared with EMR.AI’s leadership team, its customers, partners, and vendors.
 +
* Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.
 +
* Work closely with EMR.AI’s speech processing team and its software engineering division to produce innovative and effective solutions for a range of AI products and services in the medical domain.
 +
* Represent the R&D division in communications with EMR.AI’s leadership team, its customers, partners, and vendors at meetings, conventions, and other venues as well as in written statements.
  
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.
+
'''Skills'''
  
To apply, please submit your application via the online database. The link can be found at: https://www.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
+
PhD in computer science, computational linguistics, electrical engineering, or a related field. Experience in the state of the art of NLP and its standard tools is required. Candidates must be very skilled in programming and must have a proven scientific track record. They must be excellent team players, including with distributed teams, and strong in oral and written English communication. Knowledge of the US medical sector is desirable, so are experience with start-ups and strong scientific connections throughout the Bay Area and beyond.
  
Review of applications will begin in November and will continue until the positions are filled.
+
'''Benefits'''
  
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
+
EMR.AI offers competitive salaries, an excellent benefit package, and a stimulating work environment in the heart of San Francisco with manifold local, domestic, and international commercial and academic partnerships.
  
== Postdoctoral Position in Natural Language Processing in Academia Sinica (Taipei, Taiwan) ==
+
'''How to Apply'''
  
* Employer: Institute of Information Science, Academia Sinica
+
Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]
http://www.sinica.edu.tw
+
  
http://www.iis.sinica.edu.tw
+
'''Contact'''
* PI: Lun-Wei Ku (Language Processing Group)
+
http://www.iis.sinica.edu.tw/pages/lwku/index_en.html
+
  
http://nlg18.csie.ntu.edu.tw:8080/lwku/lwku.html
+
EMR.AI Inc.
  
* Rank or Title: Post Doctorial Researcher - Natural Language Processing
+
90 New Montgomery St
* Specialty: Computational Linguistics, Natural Language Processing, Information Retrieval, Machine Learning
+
* Location: Taipei, Taiwan
+
* Deadline: open until filled
+
* Date Posted: August 21st, 2012
+
* Start Date: before October, 2012 or after April, 2013
+
* Duration: 1+1+1 years
+
* Contact email: lwku@iis.sinica.edu.tw
+
  
'''REQUIRED'''
+
San Francisco, CA 94105, USA
  
Ph.D. in computational linguistics / natural language processing or related areas.
+
phone: +1-415-200-8535
  
Natural language processing / computational linguistics background.  
+
e-mail: [mailto:info@emr.ai info@emr.ai]
Substantial skills in programming and processing large scale corpora.  
+
  
Ideal: Java skills and standard statistical procedures.  
+
www: [http://emr.ai http://emr.ai]
  
'''SKILLS AND EXPERIENCE'''
 
 
3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
 
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, sentiment analysis.
 
Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, SVMLight, Weka, and similar tools.
 
  
Ideal: with experience of interests in processing Asia language (ex. Chinese)
 
  
'''PAYMENT'''
+
==Research Scientist on Natural Language Processing==
+
Around 1900~2000 USD/Month, depends on the currency rate.
+
+
'''HOW TO APPLY'''
+
  
Apply to Lun-Wei Ku at: lwku@iis.sinica.edu.tw. Please provide your CV, publication list and contact information.  
+
* Employer: IBM Research Ireland
 +
* Title: Research Scientist
 +
* Specialty: NLP, Machine Learning
 +
* Location: Dublin
 +
* Deadline: May 5th, 2016
 +
* Date posted: April 11th, 2016
 +
* Contact: [https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26059&siteid=5016&AReq=36957BR link to application page]
  
Please also note the date you wish to start the job, and send your documents at your earliest convenience so we can review them asap.
 
  
 +
Ireland is accepting applications for full-time researchers in the area of natural language processing. The ideal candidate will have a PhD degree in computational linguistics or in computer science with a specialisation in Natural Language Processing (NLP). Prior experience in the area of text analytics with information extraction, information retrieval and machine learning are highly desirable, and experience with corpus linguistics or natural language understanding are a plus. Strong programming skills in Java are required.
  
 +
The successful research candidate must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents.
 +
As a researcher you will be expected to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.
  
== Two Postdoctoral Positions in Natural Language Processing at the Sapienza University of Rome ==
 
* Employer: Sapienza University of Rome
 
* Location: Rome, Italy
 
* Deadline: open until filled
 
* Date Posted: 16th August 2012
 
* Starting date: fall/winter 2012
 
* Duration: 1+1+1 years
 
* Salary: 30000-45000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month).
 
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).
 
  
Two positions of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing are open in the Department of Computer Science of the Sapienza University of Rome. The positions are part of a 5-year ERC Starting Grant funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidates will participate in a frontier research project on multilingual lexical semantics and will work in a stimulating environment of a leading and highly-active research team including 2 faculty members, 1 postdoc and 6 Ph.D. students.
+
==Postdoc Researcher on Vision and Language==
  
'''REQUIREMENTS/QUALIFICATIONS'''
+
* Employer: University of Liverpool
 +
* Title: Postdoc
 +
* Specialty: Computer Vision with an interest in human vision/language behaviour
 +
* Location: Liverpool UK
 +
* Deadline: April 20th, 2016
 +
* Date posted: March 28, 2016
 +
* Contact: [https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/r-590571/ link to application page]
  
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
+
Applications are invited for a Postdoctoral Research associate position to study the relationship between visual/spatial representations and language. Language is often used to describe the visual world and this is done by labelling objects in the world with various categories such as roles (e.g., agent, goal). There is now a large infant social cognition literature which shows how categories like agents and goals may be identified using simple visual heuristics.  In this post, we will strengthen these links by experimentally manipulating visual cues to see how they influence language choices in adults and children.  In addition to the experimental study of these links, we will also develop computational models that use computer vision techniques to track the interaction of objects in videos and link these visual codes to the descriptions of the actions. We are most interested in people with a computational background who have an interest in human vision/language processing.
* Strong publication record in Computational Linguistics/Natural Language Processing (see below).
+
* Willingness to coordinate and supervise part of the research work of the ERC project.
+
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
+
* Fluent English. Knowledge of Italian is NOT a requirement.
+
* Solid programming skills: Java and practical expertise with standard NLP tools are required, knowledge of Perl/Python is a plus.
+
  
Experience in research project management is a plus.
+
This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the ESRC International Centre for Language and Communicative Development (LUCID, http://www.lucid.ac.uk/), a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster.  You should have (or be about to obtain) a PhD in the field related to Computer Science, Psychology, Cognitive Science, or related disciple.  The post is available for 3 years.
  
'''SPECIFIC REQUIREMENTS'''
 
  
* POSITION #1 (LCL1-2012): research record in computational lexical semantics, large-scale knowledge acquisition and validation, open information extraction, or data-intensive machine learning
+
==Postdoc Positions at Johns Hopkins University==
* POSITION #2 (LCL2-2012): research record in statistical machine translation, unsupervised acquisition of bilingual/multilingual lexicons, or cross-lingual methods for NLP
+
  
'''HOW TO APPLY'''
+
* Employer: Johns Hopkins University
 +
* Title: Postdoc
 +
* Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine
 +
* Location: Baltimore, MD
 +
* Deadline: March 31, 2016
 +
* Date posted: March 1, 2016
 +
* Contact: [http://www.clsp.jhu.edu/employment-opportunities/ http://www.clsp.jhu.edu/employment-opportunities/]
  
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL1-2012 or LCL2-2012) in the subject line.
+
The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record.
  
'''ABOUT SAPIENZA'''
+
The center has a number of postdoctoral positions available for the coming year. Possible research topics include:
 +
* Trend Detection in Social Media
 +
* Broadly Multilingual Learning of Morphology
 +
* Stochastic approximation algorithms for subspace and multi-view representation learning
 +
* Analysis of large-scale time series data in healthcare
  
The University of Rome "La Sapienza" is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at Sapienza. The Sapienza University is an equal opportunity employer.
+
Host faculty include:
 +
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria
  
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
 
  
The [http://w3.uniroma1.it/dipinfo/english/index.asp Department of Computer Science] is a modern and well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated in a nice lively area with lots of cafes, bars, restaurants, and at walking distance from the city centre. Prominent candidates must not be afraid of the language barrier, as Italians are in general very friendly.
+
==Associate/Full Professor in Computational Linguistics at Stony Brook University==
 +
* Employer: Department of Linguistics, Stony Brook University
 +
* Title: Associate/Full Professor
 +
* Specialty: Computational Linguistics
 +
* Location: New York, USA
 +
* Deadline: <strike>March 14, 2016</strike> May 1, 2016
 +
* Date posted: February 17, 2015
 +
* LinguistList Announcement: [http://linguistlist.org/issues/27/27-861.html http://linguistlist.org/issues/27/27-861.html]
 +
* Contact: Lori Repetti [mailto:lori.repetti@stonybrook.edu lori.repetti@stonybrook.edu]
  
== Engineer with NLP / ML/ IR background - Curata (Cambridge, MA) ==
+
'''Job Description'''
  
'''Curata, Inc.'''
+
The Department of Linguistics at Stony Brook University invites applications for a tenured appointment in computational linguistics, beginning Fall 2016 or Fall 2017. This is a senior appointment at the Associate or Full Professor level.
Curata, Inc. provides easy-to-use marketing solutions for content curation and content marketing. Curata's product, Curata, allows marketers to easily find, organize and share content on specific issues or topics in order to establish thought leadership, own industry conversations and drive qualified web traffic. Curata was founded in 2007 and is headquartered in Cambridge, Massachusetts. For more information, visit www.curata.com.
+
  
'''Role Description'''
+
The successful candidate will have a PhD (preferably in Linguistics or Computer Science), an outstanding research profile in Computational Linguistics (ideally in areas that complement existing departmental strengths), a strong track record in grant acquisition, and teaching and advising experience at the graduate and/or undergraduate levels.
We are looking for an individual who enjoys building and shipping code as an engineer, first and foremost, but also enjoys prototyping new product ideas leveraging natural language processing, information retrieval, and machine learning skills. You are a fit if you enjoy experimenting with a large text corpus, innovating new product concepts, and ultimately packaging and shipping your work.
+
  
In the past two years, our customer base, comprising of marketing, information services, and knowledge management professionals, have curated millions of pieces of content through our complex content procurement and processing pipeline. We release new code many times a day, and have fun continually optimizing and enhancing our product. As a start-up, we need someone who can match the high energy and enthusiasm of our team.
+
They will also be expected to
  
Technologies in our stack include Linux, Django, Python, git, MySQL, jQuery, Sphinx, and memcached.
+
* Contribute to the ongoing development of the Department's degree programs in linguistics and computational linguistics,
 +
* Initiate new collaborations and expand existing ones with other computational research groups on campus, in particular in the Department of Computer Science and the Institute for Advanced Computational Science,
 +
* Strengthen the department's connections with the local IT industry.
  
'''Responsibilities'''
+
Salary will be commensurate with education and experience.
  
* Prototyping concepts and working with engineering team to see them through deployment.
+
'''Application'''
* Suggesting new product concepts.
+
* Optimizing machine learning algorithms through iterative experimentation and parameter tuning.
+
* Architect, build and maintain flexible and highly scalable web applications
+
* Participate in the full engineering life cycle from design through implementation and deployment.
+
* Think in terms of the end-user and design accordingly
+
* Actively contribute to product design and feature selection discussions
+
  
'''Preferred Skills and Experience'''
+
Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]
* Significant research experience with natural language processing (NLP), information retrieval, machine learning or related fields.
+
* Strong software development skills, preferably with web applications.
+
* Versatile attitude towards technology -- ready and willing to learn and grow on the job.
+
  
'''Location:''' Kendall Square, Cambridge, MA / Boston
 
  
'''Type:''' Full-Time
+
==Research Scientist at the Allen Institute for Artificial Intelligence==
  
'''Contact:''' engmgt.jobs@curata.com
+
* Employer: Allen Institute for Artificial Intelligence (AI2)
 +
* Title: Research Scientist
 +
* Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
 +
* Location: Seattle, WA
 +
* Deadline: N/A, we are hiring throughout 2016
 +
* Date posted: 02/09/2016
 +
* Contact information: ai2-info@allenai.org
 +
* Website: http://allenai.org/jobs.html
  
== Research Fellowship at University of Aberdeen ==
+
'''Job Description'''
 +
 +
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni.  The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.
  
* Employer: University of Aberdeen
+
'''Position Summary'''
* Job Title: Research Fellow in Natural Language Generation
+
 
* Location: Aberdeen, UK
+
AI2 currently has projects in the following areas:
* Deadline: 23rd July 2012
+
 
* Date Posted: 11th July 2012
+
* Language and Vision
* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", search for the post with reference number 1260664
+
* Information extraction and semantic parsing
* Contact email: c.mellish@abdn.ac.uk
+
* Question answering
 +
* Language and reasoning
 +
* Machine learning and theory formation
 +
* Semantic search
 +
* Natural language processing
 +
* Diagram understanding
 +
* Visual knowledge extraction and visual reasoning
 +
 
 +
And more…. 
 +
 
 +
AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.
 +
 
 +
'''Applicant'''
 +
 
 +
Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation.  We look favorably upon extensive work experience and publishing demonstrating application of your research.
 +
 
 +
'''Why AI2'''
 +
 
 +
In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:
 +
 
 +
* We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;
 +
* We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;
 +
* We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;
 +
* We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;
 +
* We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;
 +
* We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!
 +
 
 +
'''Application Process'''
 +
 
 +
Visit our website for more information: http://allenai.org/jobs.html
 +
 
 +
 
 +
==Software Engineer  - Machine Learning / NLP (Chinese) at SYSTRAN==
 +
 
 +
* Employer: SYSTRAN
 +
* Title: Software Engineer
 +
* Topics: Machine Learning, Natural Language Processing, Machine Translation
 +
* Location: San Diego
 +
* Deadline: Open until filled
 +
* Date Posted: January 29, 2016
 +
* Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na
 +
 
 +
SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.
 +
 
 +
The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.
 +
 
 +
Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.
 +
 
 +
'''Key Qualifications'''
 +
* Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology
 +
* Good algorithmic knowledge of machine learning
 +
* Experience writing and debugging software
 +
* Strong communications skills
 +
* Ability to work well as part of a team
 +
* Fluent in English.
 +
* Fluent in Chinese is a plus
 +
 
 +
'''Education and Experience'''
 +
* MS or Ph D  in Computational Linguistics / Computer Science or relevant field.
 +
* 2+ years work experience preferred
 +
 
 +
'''Benefits'''
 +
* Successful candidates will be offered a competitive salary based on their qualifications and experience.
 +
 
 +
 
 +
==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==
 +
 
 +
* Employer: University of Dundee
 +
* Title: Lecturer/Senior Lecturer/Reader
 +
* Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence
 +
* Location: Dundee, UK
 +
* Deadline: 27 February 2016
 +
* Date Posted: 12 January 2016
 +
* Contact: Prof. Chris Reed (see http://arg.tech/lecturer)
 +
 
 +
£34,576 to £55,389 Full Time, Permanent
 +
 
 +
The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.
 +
 
 +
For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.
 +
 
 +
'''Summary of Job Purpose and Principal Duties'''
 +
 
 +
The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each
 +
group can be found in the Further Particulars.
 +
 
 +
The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal
 +
Fellowships.
 +
 
 +
Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.
 +
 
 +
'''Job Summary'''
 +
 
 +
The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:
 +
 
 +
* Contribute to the ongoing research in one of the three research groups described above.
 +
* Contribute to the generation of external research funding.
 +
* Publish in high quality research journals and major international conferences.
 +
* Teach at undergraduate and post-graduate level.
 +
* Supervise students at all levels (honours and MSc projects, PhD).
 +
* Undertake administrative duties.
 +
 
 +
'''Application Requirements'''
 +
 
 +
In addition to the online form, applicants must include with their application:
 +
 
 +
* Cover letter outlining fit to role.
 +
* Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
 +
* Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.
 +
 
 +
 
 +
==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory==
 +
* Employer: US Naval Research Laboratory
 +
* Title: Postdoctoral Research Fellow
 +
* Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
 +
* Location: Washington, DC
 +
* Deadline: Open until filled
 +
* Date Posted: January 20, 2016
 +
* Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)
 +
 
 +
'''Research focus''': The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.
 +
 
 +
'''Supervisor''': Sunny Khemlani, PhD
 +
 
 +
'''Key qualifications''':  A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.
 +
 
 +
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.
 +
 
 +
'''Program and compensation''': The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.
 +
 
 +
'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.
 +
 
 +
 
 +
==Internship positions available at Juji, Inc.==
 +
* Employer: Juji, Inc.
 +
* Title: Intern
 +
* Location: Saratoga, CA
 +
* Deadline: open until all the positions are filled
 +
* Date Posted: January 14, 2016
 +
 
 +
'''Description''':
 +
Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs. 
 +
 
 +
We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.
 +
 
 +
We have multiple positions on two main tracks:
 +
 
 +
* Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.
 +
 
 +
* Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.
 +
 
 +
'''Qualifications'''
 +
Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus.
 +
 
 +
'''To apply''': Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body.  
 +
  
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to do research on natural language generation in the MIME project. MIME (see http://www.dotrural.ac.uk/mime/ ) investigates ways to underpin reconfigured rural emergency response services, by examining how technology could support responders to incidents such as road accidents. It is exploring the use of networked monitors to support decision making and information management in the management of casualties and the automatic generation of handover reports from responders when more expert help arrives.
 
The successful candidate will have a good knowledge of natural language processing techniques in general (at the postgraduate level) and preferably some practical experience with NLG. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering.
 
  
This post is funded by the EPSRC and it is anticipated that the project activities will be completed within 9 months of the agreed start date. This appointment will be made subject to the usual terms and conditions of employment of the University.  
+
==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==
 +
* Employer: Brigham and Women's Hospital / Harvard Medical School
 +
* Title: Postdoctoral Research Fellow
 +
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
 +
* Location: Boston, MA
 +
* Deadline: Open until filled
 +
* Date Posted: January 8, 2016
 +
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)
  
== Executive Director at University of Maryland ==
+
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.
  
** Employer: University of Maryland, Center for Advanced Study of Language (CASL)
+
'''Supervisor''': Alexander Turchin, MD, MS, FACMI
** Title:  Executive Director
+
** Location:  College Park, MD
+
** Deadline:  Open until filled
+
** Date Posted:  July 2, 2012
+
** Link to website:  http://jobs.umd.edu/applicants/Central?quickFind=57086
+
** Contact email:  tswallst@umd.edu
+
  
The University of Maryland, College Park, invites applications for the position of Executive Director of the Center for Advanced Study of Language (CASL). Since its establishment in 2003, CASL’s mission has been to conduct cutting-edge research that results in improved performance on foreign language and analysis tasks relevant to the work of government language professionals. Visit www.casl.umd.edu for more information about CASL.  
+
'''Required skills''':  experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.
  
'''DUTIES:''' The Executive Director (ED) has leadership responsibility for research, operations, strategic planning, and compliance with university and government requirements and regulations associated with CASL’s designation as a University Affiliated Research Center (UARC). The ED’s duties include developing and implementing the US Government-approved research agenda; developing and managing external relations and outreach to academia, industry, and government for purposes of collaborative research and consultation; and overseeing relevant UARC-designated activities and outreach, collaboration, education, policy and evaluation. The ED ensures the hiring and retention of the best researchers and research managers in CASL’s core compentencies and other relevant disciplines as well as highly qualified financial, information technology, operations, logistics, and security support staff. In addition to aligning CASL’s strategic plan with its mission to meet the needs of clients, the ED provides leadership in identifying opportunities for partnering and collaborating with academic departments and other research centers on campus. The ED reports to the Vice President for Research and directly supervises the directors of CASL’s various units.  
+
'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.
  
'''QUALIFICATIONS:''' Candidates must have an advanced degree, preferably a Ph.D., in a discipline related to one of CASL’s core competencies (e.g., Less Commonly Taught Languages and Cultures; Second Language Acquisition; Computational Linguistics; Linguistics; Cognitive or Social Psychology; Cognitive Science or Cognitive Neuroscience), with a distinguished record of scholarly achievement and/or leadership in one or more areas relevant to the research foci of the center. Candidates' experience, research and publications should show evidence of ability to tackle complex, interdisciplinary research and to work collaboratively with a range of institutions and researchers. Experience working closely with US government and/or industry colleagues in non-academic settings is essential. Candidates must qualify for an academic appointment either as a tenured professor or as a professor of the practice in a department consistent with their background.
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
  
'''Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.'''  
+
'''Available''': Immediately.
  
'''TO APPLY:''' For best consideration, applicants should submit a letter of application, CV, and contact information for three professional references online at http://jobs.umd.edu click on “Faculty” (or direct link:  http://www. jobs.umd.edu/applicants/Central?quickFind=57086) by Monday, August 20, 2012.  Address questions to the search committee chair, Professor Thomas S. Wallsten, at tswallst@umd.edu
+
'''Compensation''': according to NIH (NRSA) stipend levels.
  
The University of Maryland, College Park, actively subscribes to a policy of equal employment opportunity, and will not discriminate against any employee or applicant because of race, age, sex, color, sexual orientation, physical or mental disability, religion, ancestry or national origin, marital status, genetic information, or political affiliation. Minorities and women are encouraged to apply. The University of Maryland offers an excellent benefits package which includes: health benefits, retirement plans, generous leave package, flexible spending accounts, tuition remission, and long-term, disability, and life insurance. Please visit the University’s web page at http://www.uhr.umd.edu/benefits/ to see a full list of benefits and the providers.
+
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

Latest revision as of 11:20, 19 June 2016

Computational Linguist-Morphology

  • Employer: Esprit de Corps Corporation (EdC), US
  • Title: Computational Linguist-Morphology
  • Specialty: Application of Finite State Transducers (FST) to language processing technologies, development of FST networks for languages, integration of morphological analyzers.
  • Location: Various US Locations
  • Deadline: Open
  • Date posted: June 19, 2016
  • Contact: Jim Lay


EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.

The Computational Linguist-Morphology provides unique expertise with the application of FST to language processing technologies, to include the development of FST networks for languages, the integration of morphological analyzers in multilingual databases/search engines and the development of APIs for managing FST I/O in a multilingual environment.

Qualifications

  • A master's degree in computer science and/or linguistics, or in a related field; eight (8) years related experience in FST technologies for language applications may be substituted for a master's degree.
  • Within the last ten (10) years, shall have a minimum of seven (7) years experience programming language networks in one or more FST applications such as XSFT, Stuttgart Finite State Transducer Toolkit, OpenFST, FOMA, or other product with equivalent functional capabilities.
  • Shall have a minimum of five (5) years experience coding with two (2) or more of the following: C, C++, or Java. Shall also have a minimum of five (5) years experience with Perl and/or Python scripting languages.
  • Within the last ten (10) years, shall have a minimum of five (5) years experience with linguistics and language structure, language processing technologies, and/or with applying morphologies to multilingual databases/search engines.
  • Shall have a minimum of five (5) years experience with two (2) or more foreign languages. Shall have demonstrated experience with international encodings, to include converting and handling multilingual encoding, such as UTF-8.

Applicants must be United States citizens able to acquire a personal security clearance.

For more information about the post and for applications: http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist-Morphology".

Computational Linguist

  • Employer: Esprit de Corps Corporation (EdC), US
  • Title: Computational Linguist
  • Specialty: Integration of NLP Modules, Experimentation with User Interfaces for Analytic Support, Web Services for Querying Extracted Results.
  • Location: Various US Locations
  • Deadline: Open
  • Date posted: June 19, 2016
  • Contact: Jim Lay


EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.

The Computational Linguist provides unique expertise with the application of computer science to language processing technologies, to include experimentation with, and integration of, unique NLP modules, experimentation with user interfaces for analytic support, web development, and development of web services for querying extracted results.

Qualifications

  • MA in computer science and/or linguistics, or in a related field (8 years related experience may be substituted for a Master's Degree).
  • Within the last 10 years shall have a minimum of 7 years experience each programming: C, C++, or Java.
  • Within the last 5 years, shall have a minimum of 3 years programming with two or more scripting languages (e.g. Perl, Python).
  • Within the last 10 years, shall have a minimum of 5 years experience with linguistics and language structure, language processing technologies, and/or with applying ontologies to NLP applications.
  • A minimum of 5 years experience with two or more foreign languages is required.
  • Shall have demonstrated experience developing software in a Linux environment, with Semantic Web technologies (e.g. RDF, OWL), and with international encodings, to include converting and handling multilingual encoding, such as UTF - 8 is required.

Applicants must be United States citizens able to acquire a personal security clearance.

For more information about the post and for applications: http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist".

Research Associate/Fellow in Machine Learning, University of Sheffield, UK


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

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

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

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

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

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

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

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

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


Doctoral Researcher at UKP/KRITIS, TU Darmstadt

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

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

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

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

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

Possible dissertation topics include:

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

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

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

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

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

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

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

We look forward to receiving your application!

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

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

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

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

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

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

Prerequisites

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

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

Applications should include:

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

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

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

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

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

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

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

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

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

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

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

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

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

NLP Postdoctoral Researcher at UNSW, Australia

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

POSITION DESCRIPTION

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


POSITION REQUIREMENTS

Essential criteria:

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


Desirable criteria:

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


SALARY RANGE AND CONTRACT LENGTH

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

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


ENVIRONMENT

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


APPLICATION

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




Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science

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

Summary

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

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


Approximate Start Date: Summer 2016


How to Apply

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



Research Scientist, Natural Language Processing

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

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

Summary

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

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

Responsibilities

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

Skills

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

Benefits

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

How to Apply

Please send your application documents to jobs@emr.ai

Contact

EMR.AI Inc.

90 New Montgomery St

San Francisco, CA 94105, USA

phone: +1-415-200-8535

e-mail: info@emr.ai

www: http://emr.ai


Research Scientist on Natural Language Processing

  • Employer: IBM Research Ireland
  • Title: Research Scientist
  • Specialty: NLP, Machine Learning
  • Location: Dublin
  • Deadline: May 5th, 2016
  • Date posted: April 11th, 2016
  • Contact: link to application page


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

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


Postdoc Researcher on Vision and Language

  • Employer: University of Liverpool
  • Title: Postdoc
  • Specialty: Computer Vision with an interest in human vision/language behaviour
  • Location: Liverpool UK
  • Deadline: April 20th, 2016
  • Date posted: March 28, 2016
  • Contact: link to application page

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

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


Postdoc Positions at Johns Hopkins University

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

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

The center has a number of postdoctoral positions available for the coming year. Possible research topics include:

  • Trend Detection in Social Media
  • Broadly Multilingual Learning of Morphology
  • Stochastic approximation algorithms for subspace and multi-view representation learning
  • Analysis of large-scale time series data in healthcare

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


Associate/Full Professor in Computational Linguistics at Stony Brook University

Job Description

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

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

They will also be expected to

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

Salary will be commensurate with education and experience.

Application

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


Research Scientist at the Allen Institute for Artificial Intelligence

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

Job Description

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

Position Summary

AI2 currently has projects in the following areas:

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

And more….

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

Applicant

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

Why AI2

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

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

Application Process

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


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

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

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

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

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

Key Qualifications

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

Education and Experience

  • MS or Ph D in Computational Linguistics / Computer Science or relevant field.
  • 2+ years work experience preferred

Benefits

  • Successful candidates will be offered a competitive salary based on their qualifications and experience.


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

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

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

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

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

Summary of Job Purpose and Principal Duties

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

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

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

Job Summary

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

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

Application Requirements

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

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


Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory

  • Employer: US Naval Research Laboratory
  • Title: Postdoctoral Research Fellow
  • Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
  • Location: Washington, DC
  • Deadline: Open until filled
  • Date Posted: January 20, 2016
  • Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)

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

Supervisor: Sunny Khemlani, PhD

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

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

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

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


Internship positions available at Juji, Inc.

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

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

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

We have multiple positions on two main tracks:

  • Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.
  • Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.

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

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


Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School

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

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

Supervisor: Alexander Turchin, MD, MS, FACMI

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

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

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

Available: Immediately.

Compensation: according to NIH (NRSA) stipend levels.

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