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

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* Please post your job ad below.
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* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''.
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* '''Please remove your posting when the position is filled.'''  
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* '''[[Instructions for Posting Job Ads]]'''
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* Please include the following information:
 
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** Employer
 
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** Rank or Title
 
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** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
 
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** Location
 
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** Deadline
 
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** Date Posted
 
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** Contact email or link to website
 
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* Archived postings:
 
* Archived postings:
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** [[Employment opportunities posted 2009]]
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** [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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** [[Employment opportunities posted 2008]]
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** [[Employment opportunities posted 2007]]
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<!-- PLEASE BE CAREFUL NOT TO DAMAGE ANOTHER PERSON'S AD -->
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<!-- USE "SHOW PREVIEW" TO VERIFY YOUR EDITS -->
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== French Canadian computational linguist==
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==PhD-level Researchers in Language Technology or Computational Linguistics==
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** Employer: The Lingua Team
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* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
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** Rank: Language support contractor
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* Title: PhD-level Researchers in Language Technology or Computational Linguistics
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** Speciality: Speech recognition
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* Topics: Natural Language Processing, Summarization, Opinion Mining
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** Location: Seattle, WA (work can be done remotely)
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* Location: Darmstadt (Germany)
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** Deadline: 01/04/2011 (apologies for the tight deadline)
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* Deadline: open until the position is filled
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** Date Posted: 12/28/2010
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* Date Posted: March 4, 2015
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** Contact email: info at thelinguateam.com
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* Contact: Prof. Iryna Gurevych apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de
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The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French Canadian computational linguist to create speech recognition grammars in xml format. Knowledge of French Canadian is a must. Please, email your resume for consideration. A first set of tasks needs to be completed in the first week of January.
 
  
 +
'''Job Description'''
  
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== NSF Post Doctoral Fellowship at Localot Research, Cambridge, MA==
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The newly established Research Training Group „[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg is filling several positions for three years, starting as soon as possible:
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** Employer: Localot Research
 
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** Rank: Post Doctoral Fellow
 
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** Speciality: NLP/ML research and development for Information Extraction
 
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** Location: Cambridge, MA
 
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** Deadline: 01/01/2011 (sorry for the late notice)
 
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** Date Posted: 12/22/2010
 
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** Contact email or link to website: http://www.localot.com (pauln@localot.com, work@localot.com)
 
  
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A NSF postdoc position is available at Localot Research under the NSF SBIR fellowship program. Localot Research develops and applies machine learning and natural language processing techniques to meet both high-precision and high-recall information needs. Staffed with 6 research scientists, and supported by software engineers, Localot Research offers opportunities for applied research on a variety of projects, ranging from active learning for semi-supervised relation extraction to latent variable and multi-task modeling for robust adaptive information extraction and ranking systems.
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PhD-level Researchers in Language Technology or Computational Linguistics
  
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The successful candidate will be a highly qualified postdoctoral fellow with a strong background in machine learning and natural language processing and a good research publication record in these areas. The candidate must have strong hands-on Java development skills and be able to perform research with close interaction with a small group of researcher scientists  at Localot Research. Experience in processing very large noisy data sets is highly desirable as well as ability to clarify research goals consistently with business targets.
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The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:
  
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The position is initially for one year, ideally starting from January 2011, with potential
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* A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
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extension. The position will have an annual income of $75,000. In addition, the fellowship will provide the successful candidate with health insurance. The applicant must be a U.S. citizen, U.S. National or a permanent resident.
+
* B1: Structured summaries of complex contents (TU Darmstadt)
 +
* B2: Content selection based on linked lexical resources (TU Darmstadt)
 +
* D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
 +
* D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)
 +
The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.  
  
−
Please contact pauln@localot.com or work@localot.com as soon as possible for timely application.  
+
The goal of AIPHES is to conduct innovative research on multi-document summarization in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel summarization scenario for information preparation from heterogeneous sources. There will be close interaction with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.  
  
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==Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation, Grenoble, France==
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Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann), Multimedia Communications (Dr. Rensing). Participants at the Ruprecht-Karls-University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.  
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** Employer: Laboratoire d'Informatique de Grenoble, GETALP team, CNRS
 
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** Rank or Title: Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation and Classification
 
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** Specialty: Research
 
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** Location: Grenoble, France
 
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** Deadline: 01/31/2011
 
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** Date Posted: 12/07/2010
 
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** Contact email or link to website: http://www.liglab.fr/IMG/protege/form9/PDoc-Videosense-getalp.pdf
 
  
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The Study Group for Machine Translation and Automated Processing of Languages and Speech (GETALP)
+
AIPHES will emphasize close contact between students and their advisors, have regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and will actively support its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.
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at the LIG Lab (Laboratoire d’Informatique de Grenoble) located at Grenoble, France, has an immediate
 
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opening for a Postdoctoral Fellow in the area of Natural Language Processing and Multilingual Semantic
 
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Annotation and Classification. The Fellowship is for one year, beginning at the earliest convenience in 2011.
 
  
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The candidate will be working in the framework of the VideoSense project sponsored by the ANR
+
'''Requirements'''
−
(Agence Nationale de la Recherche) research funding agency. The VideoSense project aims at automatic video
 
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tagging by high level concepts, including static concepts (e.g. object, scene, people, etc.), events, and emotions,
 
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while targeting two applications, namely video recommendation and ads monetization, on the Ghanni’s media
 
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assess management platform. The innovations targeted by the project include video content description by lowlevel
 
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features, emotional video content recognition, cross-concept detection, multimodal fusion, and the use of a
 
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pivot language for dealing with multilingual textual resources associated with video data. This post doctoral
 
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position focusses on the processing of multilingual textual data.
 
  
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The candidate will develop and integrate several components which will:
+
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.  
−
* gather large scale multilingual lexical resources in the concerned languages (English, French, German),
 
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* train sets of conceptual vectors associated to word senses in the multilingual lexical resources,
 
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* project each conceptual vector in a pivot vector space,
 
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* provide a semantic analysis of the textual metadata associated to the video data.
 
  
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All developments will be made in java.
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The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht-Karls-University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program „Semantic Processing“ with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.  
  
−
'''Minimum Requirements'''
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Applications should include
  
−
* PhD degree in Computer Science, Computational Linguistics, Natural Language Processing, or related fields defended less than 2 years before hiring date.
+
* a motivational letter that refers to one of the above listed guiding themes,
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* Strong programming skills (java, perl, C++).
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* a CV with information about the applicant’s scientific work,
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* Full spoken and written proficiency of French or English.
+
* certifications of study and work experience,
 +
* as well as a thesis or other publications in electronic form.
 +
They should be submitted until March 23th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de. The interviews may start any time. The positions are open until filled.
  
−
'''Preferred/Recommended Requirements'''
 
  
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* Basic knowledge in Semantic Analysis of texts, Multilingual Language Resources,
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==Research staff position in Natural Language Processing==
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* Ability to work in a research team
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* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
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* Knowledge of French and/or German
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* Title: Research staff position in Natural Language Processing
 +
* Topics: Natural Language Processing, Question Answering
 +
* Location: Darmstadt (Germany)
 +
* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact: Nicolai Erbs erbs@ukp.informatik.tu-darmstadt.de
  
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'''Contact'''
+
'''Job Description'''
  
−
Applicants should send a full CV in French or English, including a list of publications, a description of
+
The [https://www.ukp.tu-darmstadt.de Ubiquitous Knowledge Processing Lab] (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a research staff position (TV-TU E13 German payscale) with a focus on question answering and summarization of social media content. This DFG-funded basic [https://www.ukp.tu-darmstadt.de/research/current-projects/qa-eduinf research project] conducts research integrating semantic text analysis, such as semantic role labeling (SRL), into higher-level applications in information access to improve their overall results (Principal Investigator: Prof. Dr. Iryna Gurevych). Thereby, we pay special attention to graph-based techniques.  
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previous research experience, names and contact of 2 referees, to Gilles Sérasset (Gilles.Serasset[ at ]imag.fr) as
 
−
soon as possible.
 
  
−
For more information, contact Gilles Sérasset at Gilles.Serasset[ at ]imag.fr.
+
The selected candidate will work with a large corpus from a social question-answer platform on the Web. He/she will be expected to identify interesting research problems, research ways of utilizing semantic role labeling in novel NLP tasks, and develop means and resources to evaluate the results. The newly established Research Training Group “[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]” (AIPHES) funded by the DFG [3] provides an excellent research environment for this kind of work. The funding is available for the duration of at least two years with an option for extension.
  
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==Associate Research Engineer, Natural Language Processing==
+
'''Requirements'''
−
** Employer: ETS (Educational Testing Service)
 
−
** Rank or Title: Associate Research Engineer, Natural Language Processing
 
−
** Specialty: Research
 
−
** Location: Princeton, New Jersey
 
−
** Deadline: 12/31/2010
 
−
** Date Posted: 12/01/2010
 
−
** Contact email or link to website: http://www.Click2Apply.net/rnnrpxe
 
  
−
ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.
+
We ask for applications from applicants in Computer Science or Computational Linguistics, preferably with completed PhD and research publications. Experience in Question Answering or a related field like summarization or information retrieval is a definite advantage. Excellent graduates of these disciplines willing to work towards a PhD are also encouraged to apply. Ideally, the candidates should have strong research skills as well as demonstrable experience in designing and implementing complex natural language processing (NLP) applications in Java and/or with graph-based algorithms. A very good command of German is a definite plus, since the target corpus is in the German language. Excellent communication skills in English and the ability to work in a team are required.
  
−
In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.
+
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees. Applications from women are particularly encouraged.  All other things being equal, candidates with disabilities will be given preference. Please send the application to: erbs@ukp.informatik.tu-darmstadt.de by 23.03.2015. The position is open until filled.
  
−
Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.
 
−
Job Requirements
 
  
−
In addition to exceptional verbal/written communication skills, our qualifications include:
+
==PhD-position in NLP/Text Mining==
 +
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 +
* Title: PhD-position in NLP/Text Mining
 +
* Natural Language Processing, Text Mining
 +
* Location: Darmstadt (Germany)
 +
* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact: Richard Eckart de Castilho (eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de)
  
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    * Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field
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'''Job Description'''
−
    * A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential
 
−
    * Coursework in statistics and experience in using machine learning toolkits are highly desirable
 
−
    * Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies
 
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    * Knowledge of UNIX and Windows computing environments
 
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    * Familiarity with UNIX tools and scripting languages and  algorithms, methods and data structures in common use in the processing of speech and language data
 
  
−
We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:
+
The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a PhD student (TV-TU E13 German payscale) in a research project in Natural Language Processing (NLP) for a computer scientist or computational linguist. The project focusses on building an open text-mining infrastructure at the European level (Principal Investigator: Prof. Dr. Iryna Gurevych).
  
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http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend
+
Thereby, major NLP and Text Mining platforms, including UIMA and GATE, should be made interoperable and applied to knowledge discovery in scientific literature, e.g. entity disambiguation and linking to a background knowledge repository. In the past, the UKP Lab has developed several frameworks such as the Darmstadt Knowledge Processing Repository (DKPro) and UBY. They form the foundation for the research and implementation work to be done. The graduate program Knowledge Discovery in Scientific Literature provides further research environment for the work to be carried out.
  
−
EOE
+
'''Requirements'''
  
−
Apply Here: http://www.Click2Apply.net/rnnrpxe
+
Applicants in Computer Science or Computational Linguistics must have demonstrable experience in designing and implementing complex natural language processing (NLP) systems or NLP-based applications and the programming language Java as well as strong research skills. Excellent communication skills in English and the ability to work in a team are required. Experience in open-source software development is a plus.
  
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==Post-doc in Natural Language Processing (Barcelona, Spain)==
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The following academic qualification is necessary: completion of an M.A./M.Sc. in Computer Science, Computational Linguistics, or a related field.
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** Employer: Universitat Pompeu Fabra, Barcelona, Spain
 
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** Rank or Title: Postdoctoral Researcher
 
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** Specialty: Research and Development
 
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** Location: Barcelona, Spain
 
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** Deadline: 6/12/2010
 
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** Date Posted: 19/11/2010
 
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** Contact email or link to website: http://www.taln.upf.edu/
 
  
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The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 2-years open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.
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Pending the successful completion of the ongoing administrative steps for the project, funding of this position is available from June 1st, 2015 for the duration of three years.
  
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We are looking for candidates with experience in natural language processing (NLP) and in particular with knowledge and experience in empirical methods (machine learning for NLP). Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.  
+
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.
  
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We require:
+
Interviews may start at any time and will continue until the position has been filled. Email address for inquiries and applications: eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de
  
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- PhD with specialization in Natural Language Processing;
+
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The UKP Lab is also home to the unique research initiative "Knowledge Discovery in the Web” which emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge.
  
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- Experience in developing NLP applications and Web services;
+
The Technische Universität Darmstadt promotes gender equality and in particular encourages women to apply. Preference will be given to physically handicapped persons if they are equally qualified.
  
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- Experience with NLP platforms and tools for the automatic analysis of Spanish language;
 
  
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- Knowledge and use of the Java language;
+
==Internship position available in Natural Language Processing at Adobe Research==
 +
* Employer: Adobe Systems Incorporated
 +
* Title: NLP Scientist Intern
 +
* Natural Language Processing, Machine Learning, Dialog Systems.
 +
* Location: San Jose, CA
 +
* Deadline: open until the position is filled
 +
* Date Posted: February 24, 2015
 +
* Trung Bui: bui@adobe.com
  
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- Proficiency in English
+
'''Description''':
 +
We are looking for an NLP scientist intern who will work on exploring deep learning for mapping between natural language queries and logic form and/or SQL.
  
 +
'''Key Qualifications'''
 +
*Experience with semantic parsing, dialog systems.
 +
*Experience with machine learning, deep learning.
 +
*Good programming skills in Java and/or Python
  
−
We offer:
+
'''Education'''
 +
M.S. or PhD student in Computer Science or related field
  
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- A 2-years research contract  with a maximum gross salary of 28.842,72€ depending on experience
+
'''Additional Requirements'''
 +
No.
 +
== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==
  
−
- Work in a research project with relevance to society
+
*Employer:  University of Notre Dame
 +
*Job Number:  4015639
 +
*Date Posted:  02/17/2015
 +
*Application Deadline: Open Until Filled
 +
*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639
  
−
- Work for a  dynamic and collaborative research team
+
'''Job Description'''
  
−
- The position is available immediately
+
The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.
  
−
Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.
+
The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.
  
−
If you are interested in working with us, please send the following documentation:
+
The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.
  
−
- Cover letter including your contact details
+
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, develop leadership skills by mentoring students, and gain expertise in authoring collaborative grant proposals.
  
−
- A CV and list of publications
+
'''Required'''
  
−
- The names and contact details of 3 people who can act as your references
+
(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas
  
 +
'''Desired'''
  
−
Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be  “Simplext-TALN-Pos-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
+
(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students
−
Consult http://www.taln.upf.edu for contact details.
 
  
 +
For more information see the application link above.
  
−
==Pre-doc in Natural Language Processing (Barcelona, Spain)==
+
== Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation==
−
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
+
*Employer: Macquarie Group
−
** Rank or Title: Predoctoral Researcher
+
*Title: Software Engineer/NLG Specialist
−
** Specialty: Research and Development
+
*Specialties: Natural Language Generation, Application Development, Linguistics
−
** Location: Barcelona, Spain
+
*Location: Sydney, Australia
−
** Deadline: 6/12/2010
+
*Date posted: 29 January 2015
−
** Date Posted: 19/11/2010
+
*Contact information: andy.logan@macquarie.com
−
** Contact email or link to website: http://www.taln.upf.edu/  
+
*Online application: http://www.careers.macquarie.com/cw/en/job/923649/software-engineers-nlpnlg-programming-equities-research
  
−
The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 12-months open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.
+
'''Job Description'''
 +
*Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
 +
*New Systems Implementation with Opportunity to push the envelope within Research
 +
*Permanent Opportunity – Sydney CBD Location
  
−
We are looking for candidates with some experience in natural language processing (NLP) and willing to pursue a PhD in NLP. Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.
+
'''About the role'''
−
 
−
We require:
 
  
−
- A degree in Computer Science or related field
+
We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.
  
−
- Experience in NLP, Machine Learning, or Artificial Intelligence
+
'''Key Responsibilities'''
 +
*Design and Develop our first NLG/NLP Application within Equities Research
 +
*Work closely with the vendor to understand the application limitations and functionality
 +
*Drive the development with the Head of Research as well as industry analysts
 +
*Mature the offering and look for further areas of development within the business
  
−
- Experience in Java programming and Web Service development
+
'''About You'''
  
−
We offer:
+
To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:
  
−
- A 12-months research contract
+
*Tenacity to produce different If Statements and to develop the platform further
 +
*Strong interest in Artificial Intelligence/Machine Based Learning.
 +
*Keen interest in finance
 +
*Self Starter and strong attention to detail to really drive uptake of the platform
  
−
- Dynamic and collaborative working environment
+
This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: '''macquarie.com/career'''
  
−
- A maximum gross salary of 15.530,76€ depending on experience
+
If you meet the above requirements, please apply via the following link. Alternatively to find out more about the position and a confidential discussion, please contact '''Andy Logan on 02 8237 8472 or andy.logan@macquarie.com'''
  
−
- The position is available from January 2011.
+
== PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)==
 +
*Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
 +
*Title: PostDoc
 +
*Specialties: Natural Language Processing, Networks, Databases, Machine Learning
 +
*Location: Heidelberg, Germany
 +
*Deadline: 20 February 2015
 +
*Date posted: 29 January 2015
 +
*Contact information: michael.strube (at) h-its.org
 +
*Online application: https://application.h-its.org/intern/register.php?id=o51kdq1
  
−
Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.
+
'''Job Description'''
 +
PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany
  
−
If you are interested in working with us, please send the following documentation:
+
One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.
  
−
- Cover letter including your contact details
+
The candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.
  
−
- A CV and list of publications
+
HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.
  
−
- The names and contact details of 2 people who can act as your references
+
The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.
  
 +
To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)
  
−
Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pre-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
+
Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).
−
Consult http://www.taln.upf.edu for contact details.
 
  
  
 +
==Postdoc position in Cardiff (NLP, IR, machine learning)==
 +
*Employer: Cardiff University
 +
*Title: Postdoc
 +
*Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
 +
*Location: Cardiff, UK
 +
*Deadline: 3 February 2015
 +
*Date posted: 9 January 2015
 +
*Contact information: SchockaertS1@cardiff.ac.uk
  
 +
'''Job Description'''
  
 +
Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.
  
−
== Research Fellow, NLP and MT for Arabic ==
+
The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.
−
** Employer: University of Wolverhampton, UK
 
−
** Rank or Title: Research Fellow
 
−
** Specialty: Research and Development
 
−
** Location: Wolverhampton, UK
 
−
** Deadline: 30/11/2010
 
−
** Date Posted: 18/11/2010
 
−
** Contact email or link to website: lspecia@gmail.com
 
  
−
The Research Group in Computational Linguistics (http://clg.wlv.ac.uk/), University of Wolverhampton, invites applications for a research fellowship in the area of Arabic Natural Language Processing for a fixed-term contract: 12 months. The candidate will be expected to carry out research in the topic of evaluation of Arabic-English machine translation. He/she will contribute to the collection of data, proposal, design and evaluation of quality estimation approaches. He/she may also contribute to the implementation of the proposed approaches, which will be performed by an experienced programmer.
+
'''Essential criteria'''
  
−
A successful applicant must:
+
*Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output.
−
- Have a good honours degree or equivalent in Computational Linguistics, Artificial Intelligence, Linguistics, Computer Science/Engineering, Mathematics, Statistics, or related areas.
+
*Excellent programming skills (java or C/C++).
−
- Be a native or fluent speaker of Arabic or have sufficient knowledge of the language proved by previous research related to the language.
+
*A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data  Engineering).  
−
- Have experience in Computational Linguistics / Natural Language Processing, particularly the area of Machine Translation evaluation. A PhD in the field is ideal, but masters level or work experience are also acceptable.
+
*Proven ability to communicate specialist ideas clearly in English using written media.  
−
- Be eligible to work in the UK, as the job requires an immediate start. Part-time applications from candidates currently studying in the UK will also be considered.
+
*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.
  
−
The starting date is early December 2010.
+
'''Desirable criteria'''
  
−
The application deadline is November 30, 2010.
+
*Knowledge of statistical natural language processing.
 +
*Knowledge of unsupervised and semi-supervised learning.
 +
*Knowledge of relation extraction.
 +
*Experience with analysing large text corpora using a high-performance computing environment.
 +
*Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.
  
−
Applications should be sent by e-mail to:
+
'''More information'''
 +
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.
  
−
Dr. Lucia Specia
+
==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
−
lspecia@gmail.com
+
*Employer: Allen Institute for Artificial Intelligence (AI2)
 +
*Title: Post-doc/Research Scientist
 +
*Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
 +
*Location: Seattle, WA
 +
*Deadline: N/A, we are hiring throughout 2015
 +
*Date posted: 12/9/2014
 +
*Contact information: ai2-info@allenai.org, allenai.org
  
−
Applications must include:
+
'''Job Description'''
  
−
1) A curriculum vitae indicating degrees obtained, course covered, publications, relevant work experience, and names of 3 referees that could be contacted if necessary.
+
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni.  The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Post Docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.  
  
−
2) A 1-page cover letter with statement of research experience, indicating why you are interested in this position and why you consider your experience is relevant.
+
'''Position Summary'''
  
−
3) A job application form that can be downloaded from: http://www2.wlv.ac.uk/pers/jobdetails/pers_jobapp_word_oct10.doc
+
AI2 currently has projects in the following areas:
 +
*Language and Vision
 +
*Information extraction and semantic parsing
 +
*Question answering
 +
*Language and reasoning
 +
*Machine learning and theory formation
 +
*Semantic search
 +
*Diagram understanding
  
−
The successful candidate will work with the Computational Linguistics group. Established by Prof. Ruslan Mitkov in 1998, the Research Group in Computational Linguistics is highly successful, delivering cutting-edge research in a number of NLP areas such as anaphora resolution, automatic summarisation, question answering, lexical knowledge acquisition, text categorisation, named entity recognition, information extraction, corpus construction and annotation, automatic terminology processing, multilingual processing, and multiple-choice question generation. To a large extent, this research has been undertaken in projects funded by major EU and UK funding bodies and commercial partners.
+
AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission.  These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting the research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.
  
−
The results from the latest Research Assessment Exercise announced on 17 December 2008 confirm the Research Group in Computational Linguistics as one of the top performers in UK research. The research group was entered in Unit of Assessment "Linguistics" and Wolverhampton was ranked joint 3rd with 2 more universities. According to the league tables of the Guardian, The Times and Research Fortnight, research in Linguistics at the University of Wolverhampton is one of the top 6 best in the UK.
+
'''Applicant'''
  
 +
Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, or question answering and explanation.  We look favorably upon extensive work experience demonstrating application of your research.
  
 +
'''Application Process'''
  
−
== Associate Research Scientist, Speech==
+
All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.
−
** Employer: ETS (Educational Testing Service)
 
−
** Rank or Title: Associate Research Scientist, Speech
 
−
** Specialty: Research
 
−
** Location: Princeton, New Jersey, United States, 08540
 
−
** Deadline: 12/04/2010
 
−
** Date Posted: 11/04/2010
 
−
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049
 
  
 +
==Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)==
 +
* Employer: Apple Inc.
 +
* Title: Language Understanding / Dialog Scientist
 +
* Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
 +
* Location: Cupertino, CA
 +
* Deadline: rolling
 +
* Date Posted: December 2, 2014
 +
* Thomas Kollar: tkollar@apple.com
  
 +
'''Description''':
 +
Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence.  And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience.
  
−
ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.
+
'''Key Qualifications'''
 +
*Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing.
 +
*Experience with supervised, weakly-supervised and unsupervised machine learning algorithms.
 +
*Exceptional analytical, troubleshooting and problem solving skills
 +
*Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash).
 +
*Strong software engineering skills
 +
*Experience working with multilingual datasets
 +
*Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus
  
−
In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field.
+
'''Description'''
 +
You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment.
  
−
You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.
+
'''Education'''
 +
M.S. or PhD in Computer Science or related field
  
 +
'''Additional Requirements'''
 +
2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.
  
 +
==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
 +
* Employer: The Ohio State University
 +
* Title: Assistant/Associate/Full Professor
 +
* Specialty: open, two positions in Data Analytics
 +
* Location: Columbus, OH, USA
 +
* Deadline: January 31, 2015 (Consideration starts November 2014)
 +
* Date Posted: November 17, 2014
 +
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi
  
−
Our requirements include:
+
The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.
  
−
    * Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles
+
Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.
−
    * Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators
 
−
    * Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics
 
−
    * Evidence of substantive research experience and/or experience in developing and deploying speech capabilities
 
−
    * Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system
 
−
    * Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting
 
  
−
We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:
+
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
  
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend
+
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.
  
−
EOE
+
To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
  
 +
Review of applications will begin in November 2014 and will continue until the positions are filled.
  
−
Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049
+
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
−
 
 
−
 
 
−
 
 
−
 
 
−
== Senior Research Scientist, Natural Language Processing==
 
−
** Employer: ETS (Educational Testing Service)
 
−
** Rank or Title: Senior Research Scientist, Natural Language Processing
 
−
** Specialty: Research
 
−
** Location: Princeton, New Jersey, United States, 08540
 
−
** Deadline: 12/04/2010
 
−
** Date Posted: 11/04/2010
 
−
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799
 
−
 
 
−
 
 
−
ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.
 
−
 
 
−
In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.
 
−
 
 
−
Job Requirements
 
−
 
 
−
Our qualifications include:
 
−
 
 
−
    * A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science
 
−
    * Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study
 
−
    * A strong statistical and machine learning background
 
−
    * Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems
 
−
    * Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)
 
−
    * The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects
 
−
    * Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators
 
−
    * Familiarity with the application of NLP tools to educational problems
 
−
    * Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors
 
−
 
 
−
We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:
 
−
 
 
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend
 
−
 
 
−
EOE
 
−
 
 
−
Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799
 
−
 
 
−
== Research Scientist/NLP Developer==
 
−
*'''Employer''': stealth startup
 
−
*'''Rank or Title''': Research Scientist/NLP Developer
 
−
*'''Specialty''': NLP, Medical Informatics, Data Scientist
 
−
*'''Location''': Menlo Park, CA
 
−
*'''Deadline''': Open until filled. Applications reviewed immediately.
 
−
*'''Date Posted''': October 22, 2010
 
−
*'''Contact''': jchew@oneteamtech.com
 
−
 
 
−
 
 
−
As a Research Scientist, you will contribute to the development of algorithms and content for medical web applications and healthcare data processing tools.  You will be part of the Informatics research team building intelligent software systems for integrating various types of healthcare data in a research and development environment.
 
−
 
 
−
Qualifications & Requirements
 
−
 
 
−
    * PhD (preferred) or Master's degree in Computer Science, Computational Linguistics, Mathematics or related fields
 
−
    * Experience with NLP, text processing, text mining, search algorithms, machine learning
 
−
    * Experience with Medical terminology and data sources (preferred)
 
−
    * Data mining and analysis of large data sets (preferred)
 
−
    * Strong analytical and algorithm design abilities
 
−
    * Experience in Java development
 
−
    * Excellent communication skills
 
−
    * Ability to work as a team with scientists, engineers and medical professionals
 
−
    * Must be an independent self-starter
 
−
 
 
−
 
 
−
 
 
−
 
 
−
 
 
−
== Natural Language Processing Expert ==
 
−
* '''Employer''': RealHealthData
 
−
* '''Rank or Title''': Assistant Professor, Computer Scientist, NLP Expert.
 
−
* '''Specialty''': Natural Language Processing
 
−
* '''Location''': Santa Cruz, CA (Telecommuting OK)
 
−
* '''Deadline''': Open until filled, application review begins immediately.
 
−
* '''Date Posted''': October 20, 2010
 
−
* '''Contact''': paul.murphy@realhealthdata.com
 
−
 
 
−
Throughout 2009, a contract-based NLP expert produced an initial dataset derived from de-identified medical records, which are used to analyze trends and patterns in the medical research field.
 
−
 
 
−
During the de-identification and processing phase, metadata such as practice specialty and location was manually included as a reference alongside all documents. Another product that needs optimization in this project is an application that allows the input of additional medical records, in Microsoft Word format, to the main database using the same algorithm as the initial process.
 
−
 
 
−
The objective is to identify the weaknesses in the algorithm, which have led to a lower amount of extracted data than should be expected, considering the rich content of documents. Once the algorithm is optimized, it should be run on all documents in our current pool, generating a more complete and updated dataset. The project will conclude once we have a new full dataset, and a C# application fit for seamless input in the future.
 
−
 
 
−
Skills:
 
−
-3+ years of experience with command of at least one NLP tool, and/or experience with projects involving NLP and Text Mining or developing NLP solutions.
 
−
-Knowledge of analytics and data visualization
 
−
-Knowledge of spreadsheet-based analysis and reporting
 
−
-Experience with programming to implement NLP solutions (C#)
 
−
-Knowledge of key NLP techniques, including part-of-text tagging, syntactic parsing, information extraction, etc.
 
−
 
 
−
 
 
−
 
 
−
== Assistant Professor, Machine Learning ==
 
−
* '''Employer''': The Ohio State University
 
−
* '''Rank or Title''': Assistant Professor, Tenure Track
 
−
* '''Specialty''': Machine Learning
 
−
* '''Location''': Columbus, OH
 
−
* '''Deadline''': Open until filled, application review begins November 2010.
 
−
* '''Date Posted''': October 6, 2010
 
−
* '''Contact''': http://www.cse.ohio-state.edu/department/positions.shtml
 
−
 
 
−
The Computer Science & Engineering Department at Ohio State has multiple
 
−
assistant professor openings this year, one of which is targeted for
 
−
machine learning. Application review will begin in November. More
 
−
information can be found at the following site:
 
−
 
 
−
  http://www.cse.ohio-state.edu/department/positions.shtml
 
−
 
 
−
 
 
−
== Scientist/Sr. Scientist, Text Mining Biologist ==
 
−
* '''Employer''': Pfizer
 
−
* '''Rank or Title''': Scientist/Sr. Scientist, Text Mining Biologist
 
−
* '''Specialty''': Text Mining
 
−
* '''Location''': South San Francisco, CA
 
−
* '''Deadline''': Open until filled
 
−
* '''Date Posted''': August 26, 2010
 
−
* '''Contact''': http://www.pfizer.com
 
−
 
 
−
At Pfizer BioTherapeutics Division, Applied Quantitative Genotherapeutics (AQG) group, we are dedicated to developing and implementing investigative approaches focused on evaluating potential drug candidates and identifying new targets in preclinical models of disease. We use the latest scientific knowledge and apply novel approaches to discover new ways of treating disease. We encourage cooperation and support a high level of scientific freedom to find the best answers to biological questions. Located in South San Francisco, AQG provides the feel of a small start-up company with the resources of a large pharmaceutical company in the heart of the biotech capital of the world.
 
−
 
 
−
Responsibilities:
 
−
 
 
−
As part of the Applied Quantitative Genotherapeutics group, you will be working with a multi-disciplinary team using both bench biology and computational skills.  You will use your understanding of biology and text analytics to partner with, and support project teams and individuals in research, clinical or business units.
 
−
 
 
−
You will assist in the specification of tools and methods for accessing, mining, and analyzing biomedical text.  You will partner with Pfizer colleagues, publishers, and commercial vendors to evaluate, implement, test, and integrate best-in-class text mining capabilities.  You will assist in the creation of custom corpora that can be interrogated by, and integrated with the text mining capabilities described above.  You will assist in the evaluation, curation and administration of taxonomies, thesauri, and ontologies in compliance.  You will assist in quantifying the quality of text mining capabilities.  You will assist with testing, training, and communications related to the text mining capabilities described above, and perform related duties and manage special projects, as needed.  This position will be deployed in South San Francisco, but will interact seamlessly with a similar group in Cambridge MA.
 
−
 
 
−
Qualifications:
 
−
 
 
−
MS or PhD required in the biomedical sciences (or equivalent) and a minimum of 1-3 years experience working in a biotechnology or pharmaceutical organization.  Applicants must have knowledge of text mining principles and practices, demonstrated experience in the application of ontologies, taxonomies, and thesauri for text mining purposes, and familiarity with commercial and public biomedical information sources and vendors.  Awareness of current and emerging text mining tools and trends, as demonstrated by active participation in professional organizations and in professional development activities, is also desired.  Must possess good verbal and written communication skills, as required for communications with colleagues, vendors and project teams.  Must be independent and self-motivated, with a propensity to seek out challenges and capitalize on new opportunities.
 
−
 
 
−
Please submit resumes for Requisition #942862 to www.pfizer.com
 
−
 
 
−
 
 
−
== Research Scientist, Natural Language Processing ==
 
−
* '''Employer''': ETS (Educational Testing Service)
 
−
* '''Rank or Title''': Research Scientist, Natural Language Processing
 
−
* '''Specialty''': Research
 
−
* '''Location''': Princeton, New Jersey, United States, 08540
 
−
* '''Deadline''': Open until filled
 
−
* '''Date Posted''': July 21, 2010
 
−
* '''Contact''': [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]
 
−
 
 
−
 
 
−
<p>ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research.  Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government.</p> <p>ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing.  This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater).</p> <p>Responsibilities of the position include but are not limited to:</p> <ul> <li>Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing and disseminating results of research projects in the field of natural language processing (NLP) or portions of large-scale research studies or programs in the same field.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul>
 
−
 
 
−
<p>Requirements:</p> <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> <p>We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer.</p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail]</p><br /> [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]
 
−
 
 
−
 
 
−
 
 
−
 
 
−
== Programmer Analyst, Linguistic Data Consortium, Philadelphia, PA, USA ==
 
−
* '''Employer''': Linguistic Data Consortium, the University of Pennsylvania, USA
 
−
* '''Rank or Title''': Programmer Analyst (#100328205)
 
−
* '''Specialty''': Corpus Creation, Annotation Tool Development
 
−
* '''Location''': Philadelphia, PA, USA
 
−
* '''Deadline''': Open until filled
 
−
* '''Date Posted''': June 24, 2010
 
−
* '''Contact''':  Please visit [http://jobs.hr.upenn.edu/applicants/Central?quickFind=191248 application URL]
 
−
 
 
−
This position will support LDC's language resource creation projects by providing programming, research and other technical support in a rapid prototyping environment, for multiple concurrent projects with evolving technical requirements. In collaboration with technical managers, non-technical project staff and external researchers, this candidate will assess technical requirements for projects, develop plans for satisfying those needs, and implement technical specifications within stringent deadlines and budget constraints.
 
−
 
 
−
For further information or to apply online, visit the application URL above.
 
−
 
 
−
This position is contingent upon funding.
 
−
 
 
−
Penn offers an excellent benefits package including medical/dental, retirement plans, tuition assistance and a minimum of 3 weeks paid vacation per year.
 
−
 
 
−
The University of Pennsylvania does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class status in the administration of its admissions, financial aid, educational or athletic programs, or other University-administered programs or in its employment practices. Questions or complaints regarding this policy should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia, PA 19104-6106; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).
 
−
 
 
−
== Computational Linguist contracts (Several languages) ==
 
−
* '''Employer''': The Lingua Team, LLC
 
−
* '''Rank or Title''': Computational linguist
 
−
* '''Specialty''': Grammar and syntax in foreign languages
 
−
* '''Location''': Redmond, WA, USA
 
−
* '''Deadline''': July 30, 2010
 
−
* '''Date Posted''': June 15, 2010
 
−
* '''Contact''':  The Lingua Team website[http://www.thelinguateam.com], or email [mailto:info@thelinguateam.com]
 
−
 
 
−
Description: The Lingua team provides linguistic services to IT companies worldwide.
 
−
 
 
−
We are looking for computational linguists to describe properties relevant to grammar checking for several language groups: Semitic,
 
−
Romance, Slavic, Germanic, and Agglutinative. The actual list of languages includes: Arabic, Brazilian Portuguese, Bulgarian, Czech,
 
−
Danish, Dutch, European Portuguese, Finnish, Hebrew, Hungarian, Italian, Norwegian Bokmal, Polish, Romansh, Russian, Swedish, and
 
−
Turkish.
 
−
 
 
−
These positions require native or near native knowledge of the above languages to describe properties relevant to grammar checking for one or more of these languages.
 
−
 
 
−
Required: Degreed
 
−
linguist with graduate-level studies with proven experience managing or performing computational linguistic work (syntax, morphology,
 
−
lexicography) in several languages. Self-starter, ability to work independently, excellent written communication skills. Work permit
 
−
for the USA.
 
−
 
 
−
Preferred: Experience writing rules in a formal system, ideally for style or grammar checking applications. Additional
 
−
Information: Contract full-time for three months, to be extended for a year depending on ability to meet the job demands. Though the location of this project is Redmond, WA (USA) working from your location after the initial training might be a possibility.
 
−
 
 
−
 
 
−
== Government internships (unpaid) in text classification and search ==
 
−
* '''Employer''': U.S. Patents and Trademarks Office
 
−
* '''Rank or Title''': Student Volunteer
 
−
* '''Specialty''': Computer and Information Science
 
−
* '''Location''': Alexandria, VA, USA
 
−
* '''Deadline''': October 08, 2010
 
−
* '''Date Posted''': March 29, 2010
 
−
* '''Contact''':  [http://is.gd/b616r Listing at USAJOBS.gov]
 
−
 
 
−
Description:
 
−
The USPTO is responsible for granting U.S. Intellectual Property
 
−
Rights for Patents and Trademarks and has been serving the economic
 
−
interests of America for more than 200 years.  The Office is a heavy
 
−
user of text analysis and search tools for both text and images, and
 
−
is in the midst of an entire redesign of its Information Technology
 
−
system.  This internship is an opportunity to make a difference to the
 
−
entire U.S. economy by applying your skills in user interface design
 
−
and evaluation, text classification algorithm design and evaluation,
 
−
and search interface and algorithm design and evaluation.  For more
 
−
information about the USPTO, please visit our website at
 
−
http://www.uspto.gov.
 
−
 
 
−
The Office of the Chief Information Technology (IT) Strategist is
 
−
looking for enthusiastic individuals to design new and evaluate
 
−
existing interfaces and algorithms for text and image search, and for
 
−
text and image classification and comparison. Tasks will include some
 
−
combination of designing, programming, usability testing, and report
 
−
writing, with an option to write publishable research papers.
 
−
Projects include designing and testing algorithms and interfaces for
 
−
collaborative search, for integrated faceted classification into
 
−
search tools, for automating assignment of faceted classifications to
 
−
patent documents as well as to non-patent prior art, for allowing the
 
−
public as well as PTO employees to comment on and annotate documents,
 
−
and to compare the contents of structured text documents visually and
 
−
algorithmically.  Students with skills in designing tools for online
 
−
social interaction are also encouraged to apply.
 
−
 
 
−
 
 
−
Requirements:
 
−
 
 
−
- US CITIZENSHIP IS REQUIRED. SOCIAL SECURITY NUMBER IS REQUIRED.
 
−
 
 
−
- Applicants MUST be ENROLLED in A GRADUATE PROGRAM/SUBMIT TRANSCRIPT.
 
−
 
 
−
- Applicants MUST submit ONE to THREE LETTERS OF RECOMMENDATION.
 
−
 
 
−
See link above for more details.
 
−
 
 
−
 
 
−
== Biomedical Text mining Position available, CNIO - Madrid, Spain ==
 
−
 
 
−
* '''Employer''': Spanish National Cancer Research Center (CNIO)
 
−
* '''Rank or Title''': Project associate research position
 
−
* '''Specialty''': Biomedical Text mining
 
−
* '''Location''': Madrid, Spain
 
−
* '''Deadline''': March 01, 2010
 
−
* '''Date Posted''': Feb 01, 2010
 
−
* '''Contact''':  Martin Krallinger - mkrallinger@cnio.es
 
−
 
 
−
Description:
 
−
The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.
 
−
 
 
−
The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.
 
−
 
 
−
Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.
 
−
 
 
−
Requirements:
 
−
Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.
 
−
 
 
−
1) Candidates should have the following qualifications:
 
−
- Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications).
 
−
- A solid background and interest in statistical and machine learning methods
 
−
- Ability to develop algorithms and software for natural language processing/text mining systems
 
−
- Good English communication skills
 
−
- A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.
 
−
 
 
−
2) Other desirable skills and selection criteria include:
 
−
- Exposure to biomedical texts/domain.
 
−
- Familiarity with development of Web Services
 
−
- Well organized and have the ability to work in an interdisciplinary team.
 
−
- The publication record would be an advantage.
 
−
- Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will
 
−
be also highly desirable.
 
−
- Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet).
 
−
- Interest in the evaluation of systems performance and community challenges.
 
−
 
 
−
Organization:
 
−
The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure.
 
−
The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data.
 
−
The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.
 
−
 
 
−
Salary:
 
−
Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.
 
−
 
 
−
Application:
 
−
Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es
 
−
 
 
−
 
 
−
== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==
 
−
 
 
−
* '''Employer''': Potsdam
 
−
* '''Rank or Title''': Full Professor (W3)
 
−
* '''Specialty''': Theoretical Computational Linguistics
 
−
* '''Location''': Potsdam, Germany
 
−
* '''Deadline''': Feb 20, 2010
 
−
* '''Date Posted''': Jan 21, 2010
 
−
* '''Contact''':  [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de
 
−
 
 
−
Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam
 
−
 
 
−
The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:
 
−
 
 
−
* Grammar formalisms and (probabilistic) parsing of natural language
 
−
* machine learning techniques for language processing
 
−
* computational semantics
 
−
 
 
−
Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science.  Experience in obtaining third-party funding and an international presence is desirable.
 
−
 
 
−
The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.
 
−
 
 
−
Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).
 
−
 
 
−
Applications should be received by February 20 2010, and should be sent to:
 
−
The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany
 

Revision as of 03:33, 4 March 2015

PhD-level Researchers in Language Technology or Computational Linguistics

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

Job Description

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

PhD-level Researchers in Language Technology or Computational Linguistics

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

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

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

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

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

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

Requirements

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

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

Applications should include

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

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


Research staff position in Natural Language Processing

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

Job Description

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

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

Requirements

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

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


PhD-position in NLP/Text Mining

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

Job Description

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

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

Requirements

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

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

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

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

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

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

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


Internship position available in Natural Language Processing at Adobe Research

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

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

Key Qualifications

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

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

Additional Requirements No.

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

Job Description

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

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

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

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

Required

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

Desired

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

For more information see the application link above.

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

Job Description

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

About the role

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

Key Responsibilities

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

About You

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

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

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

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

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

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

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

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

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

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

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

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

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


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

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

Job Description

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

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

Essential criteria

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

Desirable criteria

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

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

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

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

Job Description

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

Position Summary

AI2 currently has projects in the following areas:

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

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

Applicant

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

Application Process

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

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

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

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

Key Qualifications

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

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

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

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

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

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

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

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

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

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

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

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

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

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