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

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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 2007]]
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** [[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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== National Research Council of Canada: Research Officer, Statistical Semantics ==
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== NLP-Speech Data Scientist / Civis Analytics / Chicago, IL, USA ==
  
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* '''Employer:''' National Research Council of Canada
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* Employer: Civis Analytics
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* '''Title:''' Research Officer
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* Title: Data Scientist
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* '''Specialty:''' Statistical Semantics (2 positions)
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* Specialty: Natural Language Processing / Speech Processing / Machine Learning
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* '''Deadline:''' Posted until filled
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* Location: Chicago, Illinois, USA
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* '''Date Posted:''' January 20, 2009
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* Deadline: Rolling
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* '''Link to website:''' [http://careers-carrieres.nrc-cnrc.gc.ca/careers/jobpost.nsf/EnglishAll/187241FAD78497FC85257540005E75CA Research Officer, Statistical Semantics (2 positions)]
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* Date Posted: July 7, 2014
  
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The Institute for Information Technology at the National Research Council of Canada has openings for two Research Officers to work in the area of statistical semantics, a sub-field of statistical natural language processing. These two positions are full-time and continuing.  They are based in Ottawa, Ontario. The successful candidates will perform original research that contributes to the Institute's focus on language processing, text mining, and machine translation.  They will, in collaboration with other researchers and programmers, create prototypes of their work and publish their research results in highly-cited journals and conferences. The position offers the opportunity to collaborate with colleagues, university researchers, and industrial partners.
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'''Who We Are:'''
  
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The researchers will work in a results-driven environment and will have the opportunity to apply their research results to ongoing high profile projects, such as processing of textual medical records or performing machine translation.
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Our Company is a Chicago-based Big Data analytics firm born in a large windowless back room of President Obama’s 2012 re-election campaign. We called it “The Cave.”
  
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== Postdoctoral and research engineer positions available at the Singapore Management University ==
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Beginning with the campaign, our mission as a team has been clear: help great organizations use their Big Data to solve their biggest problems.  We are now applying our analytical expertise, specialized software, and innovative technological approach to help companies, non-profits, and campaigns leverage their data to develop smarter strategies, make better decisions, and build stronger, data-driven organizations. In the year since our company’s founding, we have helped solve problems as diverse as enrolling individuals for health insurance, optimizing TV ad purchases to reach more targets, and pinpointing individuals who want to sign up for a clean energy utility company.
  
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The School of Information Systems at the Singapore Management University is seeking to fill a few postdoctoral and research engineer positions for the projects "Transfer Learning for Adaptive Relation Extraction" and "Mining Interaction Behaviors from Information Exchange Networks."  These are two-year projects supported by the Singapore Defense Science Organization, starting in April 2009.  
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We are not a group of spreadsheet management consultants; we are an inventive team of the best statisticians, scientists, engineers, and technologists in our fields building things that have never been built before. And we’re looking to add to our team.
  
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The goal of the first project is to develop adaptive learning algorithms for relation extraction from free text. In real applications of relation extraction, there is often insufficient training data available for the target relations in the target domain, but labeled data from related domains or for related relation types can be borrowed. The research questions to be answered are therefore (1) how existing transfer learning algorithms can be applied in the particular context of relation extraction, (2) how human knowledge can be incorporated, and (2) what new transfer learning techniques are needed for adaptive relation extraction.
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We are already solving some of the world’s most demanding and complex problems with Big Data – working with organizations to analyze and understand their individual level intelligence to improve outcomes and implement organizational change. We work on teams with diverse skill sets to apply and invent new data science techniques, putting us at the forefront of innovation in our field as we solve problems that have never been solved before.
  
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The goal of the second project is to study characterization and measurement of interaction behaviors in information exchange networks based on user-generated interaction data.  We will focus on information exchange networks which involve actors sending information to one another.  Examples of such networks include email and blog networks. The research will focus on interaction behaviors that suggest actor roles in an information exchange network and may infer relationships between actors in the network.
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We are smart, fun, and a little bit weird. Does this sound like you?
  
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The postdoctoral candidate must have completed all requirements for his/her PhD degree by the time of appointment. The research engineer candidate must have completed a good undergraduate or master degree in computer science or computer engineering.  The ideal candidates are expected to have the following skills/qualifications:
+
'''Job Description:'''
  
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  - Knowledge and experience in machine learning, data mining and statistics/probabilities
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The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company.  Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research. As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas.
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  - Strong programming skills
 
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  - Proficiency in English
 
  
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For the first project, we also prefer candidates with
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With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis.  Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.
  
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  - Knowledge and experience in natural language processing
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We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
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  - Experience with information extraction, transfer learning and/or semi-supervised learning is a plus
 
  
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For the second project, we also prefer candidates with
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'''Minimum Qualifications:'''
  
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  - Knowledge in social network analysis and web mining
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* Master’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering, or a Bachelor’s degree and outstanding work experience
 +
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision.
 +
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
 +
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
 +
* Experience with SQL databases
 +
* Strong programming skills
 +
* Experience identifying and correcting for problems in imperfect data
 +
* An ability and eagerness to constantly learn and teach others
  
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The salary for the postdoctoral position will be around 5,000 SGD per month.  The salary for the research engineer position will be based on the candidate’s working experience and academic degree.
+
'''Preferred Qualifications:'''
 +
* PhD in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
 +
* Ability to expand upon modern statistical learning methods
 +
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
 +
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
 +
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
 +
* Theoretical understanding sufficient to independently implement complex neural network architectures
  
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To apply for the positions, send your full CV with list of publications, names and contact information of two referees, a statement of research qualifications and interests, and two sample publications (if any) to the following principle investigators:  
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'''Location:'''
  
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  1. Transfer Learning for Adaptive Relation Extraction: Jing Jiang (jingjiang@smu.edu.sg).
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This posting is for a position in Civis’ Chicago headquarters.
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  2. Mining Interaction Behaviors from Information Exchange Networks: Ee-Peng Lim (eplim@smu.edu.sg).
 
  
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== Tenure Track Faculty Position: Assistant/Associate Professor in Human Computer Interaction, Montclair State University, NJ, USA ==
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'''Dates:'''
  
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Vacancy #: VF-22
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We are hiring for multiple positions and will evaluate candidates as applications are received.
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Department: Computer Science
 
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The Department of Computer Science invites applications for a tenure track position in Human Computer Interaction (HCI) and Visualization. The Department’s 13 faculty members support the BS in Computer Science with an ABET CAC accredited track, the BS in Information Technology and the MS in Computer Science. The position requires a willingness to teach a variety of computer science and information technology courses at all levels to ethnically diverse students. The position entails the ability to work as a member of interdisciplinary teams as the Department develops and modifies computing undergraduate and graduate programs with a planned doctoral program in computational science. In addition, the successful candidate will develop and maintain an active research program with student involvement.
 
−
 
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Qualifications & Requirements: Candidates must have a Ph.D. in computer Science or a very closely related discipline. Candidates must have expertise in Human Computer Interaction with preference to candidates with experience in software engineering, interfaces, and visualization, and research in HCI. Candidates must have good communication skills. We are looking for candidates with experience in teaching undergraduate computing courses and in working as a member of a team. All faculty are expected to have an ongoing research program, to commit to quality teaching, to be involved in professional activities, and to pursue external funding to support their scholarship.
 
−
 
−
Salary Range:            Salary and range is dependent on qualifications.
 
−
Anticipated Start Date:  September 1, 2009
 
  
−
Send letter and resume to (include vacancy # if above):
+
'''How to Apply:'''
−
Send hardcopy (no email documents) that includes C.V., at least three professional references, statement of research interests, teaching philosophy with experience, and professional goals to:
 
  
−
Search Committee — V- F22
+
Applications may be submitted at http://www.civisanalytics.com/apply/entry/data-scientist-chicago-il.
−
Department of Computer Science
+
Specific inquiries may be directed to Derrick Higgins: [mailto:dhiggins@civisanalytics.com dhiggins@civisanalytics.com].
−
Montclair State University
 
−
Montclair, NJ 07043
 
  
−
(include V number) and professional goals to:
 
−
Search Committee — V- F22
 
−
Department of Computer Science
 
−
Montclair State University
 
−
Montclair, NJ 07043
 
  
−
Apply By: Screening begins immediately and continues until the position is filled.
+
== Postdoc in Natural Language Processing / Aix-Marseille University / Marseille, France ==
  
−
Montclair State is a New Jersey State university. It is located 14 miles west of New York City.
+
* Employer: Aix-Marseille University
 +
* Title: Postdoc
 +
* Specialty: Natural Language Processing
 +
* Location: Luminy, Marseille, France
 +
* Deadline: July 1st, 2014
 +
* Date Posted: June 12, 2014
  
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== Internship on Textual Entailment Applied to Statistical Machine Translation, Xerox Research Centre Europe, Grenoble - France ==
+
'''Job Description:'''
  
−
The main research lines within the Cross Language Technologies (CLT) area at XRCE are Statistical Machine Translation, Cross-Lingual Information Retrieval and Machine Learning Techniques for Cross-Lingual Applications. CLT is currently coordinating the European Project SMART (Statistical Multilingual Analysis for Retrieval and Translation) [http://www.smart-project.eu].  
+
We are looking for an outstanding research scientist to join the "SENSEI" european project (http://www.sensei-conversation.eu/). You
 +
will contribute to conversation analysis summarization research to
 +
allow the exploitation of large quantity of comments in social
 +
media and spoken conversations.
  
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XRCE has received funding from the PASCAL-2 Network of Excellence [http://pascallin2.ecs.soton.ac.uk] for conducting, in partnership with Bar-Ilan University in Israel, a "Pump Priming" project on the topic of "Context Models for Textual Entailment and their Application to Statistical Machine Translation". One of the goals of the project is to investigate situations in which, while a translation system may not have enough knowledge to adequately translate a source text into a target text, it may be able to do so based on entailment rules learned from monolingual data.  
+
You will contribute to the design and development of speech and text
 +
summarization technologies for conversational data such as social
 +
media comments and tweets. There will be three components to the
 +
system: linguistic analysis of the conversations, content selection
 +
and aggregation, and generation of the summaries (text or other
 +
media). The approach is expected to make use of recent machine
 +
learning advances such as deep learning, and focus on limiting the
 +
quantity of supervision needed. The prototype will be evaluated by
 +
end-user professionals in ecological conditions.
  
−
We are looking for preferably one (in this case the internship would be for 10 months ) or two interns (in this case each internship would last 5 months with the first starting at the beginning of 2009) to work on this topic under the supervision of XRCE researchers, and in collaboration with our partners. The focus of the work will be on the following topics:  
+
'''Qualifications:'''
  
−
* Integration of existing paraphrase and entailment resources into SMT settings, and assessment of their applicability in this domain;
+
The applicant must hold a PhD degree, preferably in the field of
−
* Development (in collaboration with our partners) of novel models for assessing the validity of entailment rules in context and implementation of SMT-based modules that are able to exploit such rules;
+
natural language processing or machine learning. He/she should:
−
* Methodology and measures for controlling the use of directional and bi-directional entailment rules in SMT;
+
* Be proficient in one of Java / C++ programming and python or php scripting
−
* Use of entailment knowledge for evaluating the performance of SMT systems.
+
* Have experience with developing efficient NLP / machine learning systems.
 +
* Be keen on researching the literature and writing papers
 +
* Enjoy team work and be autonomous
  
−
The ideal candidate will be a strong Master or Ph.D. student with background in statistical machine translation and/or statistical methods in NLP. The candidate will be fluent in C/C++ and/or Python. Some knowledge and practice of Machine Learning models and tools will be a plus, as will be some previous acquaintance with work on Textual Entailment.
+
'''Location:'''
  
−
Contact:
+
You will work at the LIF computer science lab at Aix-Marseille
 +
University in France, at the Luminy campus next to the
 +
calanques.
  
−
* Lucia Specia: lucia.specia@xrce.xerox.com
+
'''Dates:'''
−
* Marc Dymetman: marc.dymetman@xrce.xerox.com
 
  
−
For more information: http://www.xrce.xerox.com/internships/LS-MD.TE-SMT_2009.2008.html
+
Interviews will be held in July 2014, the Postdoc will start in
 +
september / october 2014 and last one year.
  
−
== Machine Learning Winter Internship, Google New York ==
+
'''How to Apply:'''
  
−
We are looking for a masters or PhD student to work on a large ML infrastructure project at Google New York. Good coding abilities and graduate level course work or research experience in ML is desirable. This is a great opportunity to see machine learning and classification at work in a leading technology company.
+
Enquiries and applications should be sent to Benoit Favre: benoit.favre@lif.univ-mrs.fr
  
−
The period of the internship will be for 3-6 months with a flexible starting date. If interested, please send an email to ryanmcd+wi@google.com with a resume and any date constraints you may have.
+
== Executive Director / CLARIN ERIC / Utrecht University, the Netherlands ==
  
−
Ryan McDonald, Google Research, New York
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* Employer: CLARIN ERIC through Utrecht University
 +
* Title: Executive Director
 +
* Specialty: Research Infrastructures
 +
* Location: Utrecht University, the Netherlands
 +
* Deadline: August 15, 2014
 +
* Date Posted: June 10, 2014
  
−
== Research Position at Stanford CSLI: Robust Dialogue Understanding and Dialogue Management ==
+
'''Job Description:'''
  
−
The Center for the Study of Language and Information (CSLI) at Stanford University is seeking a Research Scientist to work on multimodal spoken-language dialogue systems, starting as soon as possible, preferably 1 September 2008.
+
CLARIN is one of the two big humanities pan-European research infrastructures on the ESFRI roadmap with global ambitions, expected to expand rapidly in the near future. It currently has about 25 centres in 10 countries and the number is growing. At the same time CLARIN is participating actively in several emerging global data infrastructure initiatives (e.g. RDA, EUDAT). In addition it is actively pursuing its collaboration with other international humanities research infrastructures such as DARIAH.
  
−
The ideal candidate is a Computational Linguist with an interest in the computational semantics and pragmatics of dialogue, with experience in formally-inspired and/or statistical/machine-learning approaches to natural language processing and dialogue modeling. The position requires a Ph.D. in computational linguistics, natural language processing, artificial intelligence, cognitive science, or a related field. Applicants should have a demonstrated capacity to define and implement a research plan, and to conduct individual and collaborative research consonant with the dialogue-systems projects underway at CSLI.
+
As our current Executive Director is retiring, CLARIN is looking for an inspiring person to continue this successful enterprise and lead it to the next level.
  
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Current research into dialogue at CSLI includes human-human, human-computer and human-robot dialogue modeling, and employs a variety of techniques, including symbolic and stochastic, theory and data-driven. Proficiency in multiple approaches relevant to current CSLI application areas will be highly valued, as will an ability to participate in implementation.
+
The main challenges the new executive director needs to lead on in the next years are: the expansion and the sustainability of CLARIN, to balance the central and distributed activities, increase outreach to new user communities, new collaboration partners and new continents, and to promote collaboration with commercial partners.  
  
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Research topics of particular interest include:
+
'''Responsibilities:'''
−
* robust semantic interpretation from noisy data (e.g. fragment parsing, role detection);
 
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* robust context-based pragmatic interpretation (e.g. anaphora/ellipsis/fragment resolution, dialogue act detection);
 
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* multi-party discourse modeling (e.g. group decision-making, collaborative task planning, addressee detection);
 
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* multimodal dialogue management;
 
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* multimodal incremental processing;
 
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* probabilistic dialogue state/activity modeling and tracking.
 
  
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The successful candidate will work with faculty, postdoctoral, and student researchers in the Dialogue Systems Group at CSLI, performing novel research and developing core infrastructure for natural multimodal conversational systems for a range of interactions and applications. Responsibilities will include supervising student research assistants and participating in proposal-preparation to attract new funding.
+
* Leading the Board of Directors of the CLARIN ERIC
 +
* Building on prior work, drafting strategy, work programme, budget and staff plan for CLARIN
 +
* Planning the technical development together with the Technical Director, overseeing the implementation and operation of the distributed infrastructure and coordinating centre cooperation
 +
* Ensuring the long-term sustainability of CLARIN and guiding its European and global expansion
 +
* Building strong pan-European and international relationships with a broad range of stakeholders within and outside the consortium. This includes CLARIN members, the relevant ministries and funding bodies, external language resource providers, the EU, and international bodies, including research infrastructures on the European Strategy Forum on Research Infrastructures (ESFRI) Roadmaps as well as other research infrastructures
 +
* Leading the international fundraising efforts for CLARIN
 +
* Monitoring and measuring CLARIN’s activities and reporting to General Assembly
 +
* Specifically, monitoring the adherence of the national consortia to the operational rules and standards for CLARIN-related operations, and developing recommendations for counter-measures for any irregularities
 +
* Ensuring that CLARIN’s services comply with appropriate ethical, legal and societal norms and principles
 +
* Planning, organizing, and managing the main office in Utrecht, which includes recruitment
 +
* Facilitating and supporting the operation of CLARIN’s governance bodies
  
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The CSLI Dialogue Systems Group consists of about fifteen people, and is involved in a number of projects including close collaboration with other Stanford departments, numerous other academic institutions, government agencies such as NASA, not-for-profit research organizations such as SRI, and various commercial enterprises. Current projects include: understanding multi-party conversational interaction; speech-enabled intelligent tutoring systems;  collaborative control of teams of robotic devices; and situated human-robot interaction.
+
'''Qualifications:'''
  
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The position is initially for 1 year, renewable for up to 3 years (contingent on continued funding). Salary is dependent on qualifications and experience, but is expected to be in a range starting from $70,000 for a junior appointee, to $90,000 for a senior appointee.
+
* A higher university degree or equivalent qualifications and an international interdisciplinary network
 +
* Relevant experience in the European Research Area, international arena, as well as in European level funding mechanisms and understanding of the ESFRI process
 +
* An understanding of current and emerging agendas and challenges in data management and curation in the humanities domain
 +
* Excellent communicative skills
 +
* A proven fundraising record
 +
* A record of relevant academic excellence
 +
* The ability to understand organisational and technical issues involved in building, maintaining, and federating digital repositories, catalogues, authentication services, and similar infrastructure components based on modern information technologies
  
−
Applicants should submit a letter of application and a full resume or curriculum vitae with names and email addresses of at least three references. Please contact [http://godel.stanford.edu/twiki/bin/view/Public/WebHome Stanley Peters] and [http://www.stanford.edu/~raquelfr/ Raquel Fernandez] ({peters,raquelfr}@csli.stanford.edu) for further information.
+
'''How to Apply'''
  
−
Stanford University is an equal opportunity, affirmative action employer.
+
For more information, please visit http://www.clarin.eu/news/vacancy-advertisement-executive-director
  
−
== Job Announcement: Programmer Analyst - Text and Speech Annotation Support, Linguistic Data Consortium, Philadelphia, USA ==
 
  
−
* Employer: Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
+
== Research Scientist in Natural Language Technologies / Bosch Research & Technology Center / Palo Alto, California ==
−
* Title: Programmer Analyst (full-time position)
 
−
* Specialty: Corpus Creation, Text and Speech Annotation Support
 
−
* New Deadline: Aug 15, 2008 (open until filled)
 
−
* Date Posted: July 28, 2008
 
−
* LDC website: http://www.ldc.upenn.edu
 
−
* See full job description: http://linguistlist.org/jobs/get-jobs.cfm?JobID=57140&SubID=185481
 
  
−
==  Job Announcement: Research Statistician - Data Mining Applications Development, Cary, NC ==
+
* Employer: Bosch Research & Technology Center
 +
* Title: Research Scientist in Natural Language Technologies (PhD)
 +
* Specialty: Natural Language Processing
 +
* Location: Palo Alto, California, United States, 94304
 +
* Deadline: Until filled
 +
* Date Posted: May 19, 2014
  
−
'''Employer:''' SAS Institute, Inc.
+
'''Job Description:'''
  
−
'''Title:''' Research Statistician - Data Mining Applications Development-08002151
+
The Language Interaction and Knowledge Engineering group of Bosch Research in Palo Alto, CA is responsible for shaping the future user experience of Bosch products by creating cutting-edge technologies. We collaborate closely with leading universities on solutions to hard challenges in speech, language, knowledge topics to enable natural, intuitive and intelligent communication between humans and computers.  We work with internal partners to transfer our ideas and solutions into future products. Over the years, we have already developed innovative world-leading technologies in the areas of human machine interaction (HMI) systems.
  
−
'''Specialty:''' Computational Linguistics
+
To strengthen the Language Interaction and Knowledge Engineering team in our Palo Alto office we are seeking enthusiastic and creative researcher with a strong desire to drive technology development in this area.
  
−
'''Deadline:''' Until Filled
+
'''Responsibilities:'''
  
−
'''Date Posted:''' June 30, 2008
+
* Develop large-scale natural language technologies and components, and improve the state-of-the-art HMI system performance with various methods
 +
* Together with a team of experts, adapt and integrate language processing components into Bosch HMI system for different business areas
 +
* Communicate with business departments about the technology potentials as well as identify potential areas of business values.
  
−
'''Website:''' [http://www.sas.com www.sas.com]
 
  
 +
'''Qualifications:'''
  
−
'''Research Statistician - Data Mining Applications Development-08002151'''
+
* Ph.D. in Computer Science or related fields
 +
* Strong research background in natural language technology development and applications, text mining, machine learning, and statistics
 +
* Hands-on experience with natural language processing, text mining and machine learning algorithm implementation
 +
* Strong skills in coding (C/C++ or Java), algorithms and system design
 +
* Very good communication skill together with good quality publication
 +
* Experience in text summarization research and development is a plus
 +
* Experience in large system development and speech technology is a plus
  
−
'''Description'''
+
 
−
+
'''How to Apply'''
−
As a member of the SAS Enterprise Miner Development team, you will develop state-of-the-art algorithms to solve problems in text and data mining.
+
 
−
+
For more information, and to apply online, please visit http://bit.ly/1k8UZ57
−
Your primary responsibility will be to develop algorithms to analyze tone and sentiment in textual documents, and to develop learning techniques to perform Boolean rule induction for textual categorization. In this role, you will collaborate with applications developers, senior statistical researchers, product marketing, systems engineers, and technical support personnel; and work with testing and documentation staff to develop test plans and contribute to product documentation. You will also research data mining applications; plan and develop implementations; and author papers and presentations on your work.  
+
 
 +
 
 +
 
 +
== Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL ==
 +
 
 +
* Employer: Toyota Technological Institute at Chicago
 +
* Title: Post-doctoral scholar
 +
* Specialty: Machine learning, NLP, computer vision, speech
 +
* Location: Chicago, IL, United States, 60637
 +
* Deadline: Until filled
 +
* Date Posted: May 12, 2014
 +
 
 +
 
 +
'''Job Description'''
 +
 
 +
Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.
 +
 
 +
 
 +
The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.
 +
 
 +
 
 +
The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan.  The position will remain open until filled.
 +
 
 +
 
 +
'''Responsibilities'''
 +
 
 +
The goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.
 +
 
 +
 
 +
Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.
  
  
 
'''Qualifications'''
 
'''Qualifications'''
  
−
   
+
Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field. There are no citizenship requirements.
−
'''Essential'''
+
 
 +
 
 +
'''How to Apply'''
 +
 
 +
Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:
 +
 
 +
* brief cover letter, describing your interest in and qualifications for the position
 +
* curriculum vitae including publication list
 +
* contact information for two or more researchers who can provide letters of reference
 +
 
 +
Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.
 +
 
 +
== Postdoctoral Fellow / INRIA / Saclay ==
 +
* Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
 +
* Title: PostDoc (12 months)
 +
* Specialty: Natural Language Processing
 +
* Location: Palaiseau, Ile-de-France, France
 +
* Deadline: June 30, 2014
 +
* Date Posted: May 6, 2014
 +
 
 +
 
 +
'''Job Description'''
 +
 
 +
The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.
 +
 
 +
'''Duties'''
 +
 
 +
Reporting to the Dr. Gregory Grefenstette, your
 +
typical duties will include the following:
  
−
• Ph.D. degree in statistics, computational linguistics, computer science, or a related quantitative field
+
* Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
 +
* Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
 +
* Discover and adapt existing open data taxonomies to the platform;
 +
* Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources
  
  
−
'''Equivalent Essential'''
+
'''Required Qualifications'''
  
−
• Master's degree in statistics, computational linguistics, computer science or a related quantitative field
+
The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer
 +
science, computational linguistics or a related discipline.
 +
* Experience with natural language processing (e.g., Stanford Parser)
 +
* Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
 +
* Experience with classification algorithms
 +
* Familiarity with dealing with large, noisy data sets
 +
* Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
 +
* Desire to produce functioning end-to-end systems, life-scale live demos
 +
* Scientific rigour
 +
* Imagination
  
−
• 2 years of experience developing statistical algorithms
+
'''How to Apply'''
  
 +
Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242
  
−
'''Additional'''
+
Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.
  
−
• Excellent interpersonal and problem-solving skills
+
'''About Us'''
  
−
• Excellent written and verbal communication skills
+
Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..
  
−
• Ability to work independently, as well as with a team
+
For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014
  
−
• Knowledge of predictive modeling methods and applications
+
== Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre ==
 +
* Employer: University of British Columbia and BC Cancer Agency
 +
* Title: PostDoc
 +
* Specialty: Natural Language Processing, Machine Learning
 +
* Location: Vancouver, British Columbia, Canada
 +
* Deadline: Until filled
 +
* Date Posted: March 26, 2014
  
 +
'''Job Description'''
  
−
'''Preferences'''
+
The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics
 +
Technology Lab to conduct scientific research in the areas of bioinformatics and
 +
genomics, specifically related to automated analysis and annotation of cancer
 +
research literature.
  
−
• 3 years of experience developing statistical algorithms
+
The successful applicant will work with trainees and research scientists in a team
 +
that develops tools for a clinical genomics pipeline based on primary sequence
 +
analysis, to build natural language processing and machine learning tools that
 +
interpret identified mutations for their biological significance as they relate
 +
to reports in the relevant literature.
  
−
• 2 years of experience programming in C
+
'''Duties'''
  
−
• Experience with SQL programming in relational database environments
+
Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your
 +
typical duties will include the following:
  
−
• Experience with SAS platform technologies, such as Stored Process Development
+
* Building natural language processing and machine learning tools for automated literature survey
 +
* Analysis and annotation of data from genomics studies as they relate to the literature
 +
* Collaborating with biologists and clinical researchers on the accuracy of the results
 +
* Reporting research methods and results in meetings, seminars and conferences
 +
* Contribution to and leading scientific publications and research proposals
  
 +
'''Required Qualifications'''
  
−
'''Additional Information'''
+
The ideal candidate should possess a PhD degree and recent proven experience in computer
−
+
science, electrical engineering or a related discipline. A strong publication record in
−
The level of this position will be determined based upon the applicant's education, skills and experience.
+
the field, and demonstrated technical writing skills are highly desirable. Prior research
−
+
experience in bioinformatics is also desirable, but not required.
−
Resumes may be considered in the order they are received.
 
  
 +
More experienced candidates will be considered for a Staff Scientist position, pending
 +
successful funding.
  
−
'''Job:''' Software R&D
+
'''How to Apply'''
  
−
'''Primary Location:''' US-NC-Cary
+
Please send your resume with cover letter to bcgscjobs@bcgsc.ca
 +
We request that you specify the position you are applying for by identifying the Job Code
 +
only ("PDFBTL 14-03-27") in the subject line of your emailed application.
  
−
'''Organization:''' SAS Institute Inc.
+
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent
 +
residents will be given priority.  
  
−
'''Classification:''' Full-time
+
'''About Us'''
  
−
== Job Announcement: Postdoctoral Researcher in Natural Language Processing, School of Informatics, University of Edinburgh ==
+
Genome Sciences Centre is a leading international institution for genomics and bioinformatics
 +
research. Our mandate is to advance knowledge about cancer and other diseases, to improve human
 +
health through disease prevention, diagnosis and therapeutic approaches, and to realize the
 +
social and economic benefits of genomics research.
  
−
'''POST-DOCTORAL RESEARCHER IN NATURAL LANGUAGE PROCESSING'''
+
For more information, please visit www.bcgsc.ca
 +
 
 +
== PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA ==
 +
* Employer: University of Massachusetts Medical School
 +
* Title: PostDoc
 +
* Specialty: Natural Language Processing, Machine Learning
 +
* Location: Worcester, Massachusetts, United States, 01605
 +
* Deadline: Until filled
 +
* Date Posted: March 26, 2014
  
−
'''Job Details'''
 
  
−
*Job Reference  3009188
 
−
*Department      Informatics 
 
−
*Job Title      Research Associate
 
−
*Job Function    Academic
 
−
*Job Type        Fixed Term: 36 months
 
−
*Expiry Date    15 July 2008
 
−
*Salary Scale    GBP 28,290-33,779
 
−
       
 
 
'''Job Description'''
 
'''Job Description'''
  
−
The School of Informatics at the University of Edinburgh invites
+
We are seeking 1~2 highly motivated postdoctoral research associate to
−
applications for the post of researcher on the project ``Global
+
join the Biomedical Natural Language Processing (BioNLP) group at
−
Inference for Summarization Using Integer Linear Programming'', funded
+
UMass Medical School and UMass Amherst. This position will primarily
−
by the EPSRC. This project will design and implement novel models for
+
be located at the UMass Medical School in Worcester, MA. The BioNLP
−
summarization that break away from the sentence extraction
+
group is actively pursuing many exciting projects including:
−
paradigm. The overall aim is to utilize global inference algorithms
+
information retrieval, information extraction, summarization, question
−
for the summarization task and demonstrate their superiority over
+
answering, data mining, and patient-centered research. A highly
−
traditional local optimization methods.
+
productive candidate may transition to a faculty position.
 +
 
 +
 
 +
'''Responsibilities'''
 +
 
 +
The successful candidates will help investigate new algorithms to
 +
support our current research thrusts. This will require extensive
 +
experience with data mining (DM) and natural language processing (NLP).
 +
 
 +
 
 +
'''Qualifications'''
 +
 
 +
Candidates for this position should have a PhD in Computer Science or
 +
related field and a significant research record including
 +
publications in top conferences and journals in:
 +
 
 +
* Natural Language Processing
 +
* Machine Learning
 +
* Data Mining or Data Analysis
 +
 
 +
Proficiency in quantitative analytical methods and strong programming
 +
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
 +
extensive research experience in hands-on machine learning (ML) and
 +
data mining (DM), is essential. Additional experience in
 +
bioinformatics or figure search and analysis is desirable.
 +
 
 +
Successful applicants will join a vibrant collaborative research
 +
environment, will work closely with clinical investigators and senior
 +
personnel in the lab, and should have the ability to work effectively
 +
both independently and as part of a multidisciplinary team. The
 +
position will be for one year, renewable annually, starting Summer or Fall 2014.
 +
 
 +
 
 +
'''How to Apply'''
 +
 
 +
Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and
 +
include a brief letter of introduction, a CV including list of
 +
publications in PDF format, and names and email addresses of 2-3 referees.
 +
 
 +
 
 +
'''Background'''
 +
 
 +
Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.
 +
 
 +
Competitive Salary based on experience.
 +
 
 +
== Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey ==
 +
 
 +
* Employer: Educational Testing Service
 +
* Title: Research Director NLP and Speech Processing
 +
* Specialty: Natural Language Processing / Speech Processing
 +
* Location: Princeton, New Jersey, United States, 08541
 +
* Deadline: Until filled
 +
* Date Posted: March 12, 2014
 +
 
 +
'''Job Description:'''
 +
 
 +
ETS (Educational Testing Service), is headquartered in Princeton, NJ. 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.
 +
 
 +
Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.
 +
 
 +
Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.
 +
 
 +
In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.
 +
 
 +
Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.
 +
 
 +
'''Requirements:'''
 +
 
 +
To qualify, you must possess:
 +
* A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
 +
* Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
 +
* Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.
 +
 
 +
'''How to Apply:'''
 +
 
 +
Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538
 +
 
 +
'''Information about the institute:'''
 +
 
 +
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.
 +
 
 +
With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer
 +
 
 +
== Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities ==
 +
 
 +
* Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
 +
* Title: Research Intern
 +
* Specialty: Natural Language Processing / Text Mining / Digital Humanities
 +
* Location: Darmstadt/Frankfurt am Main, Germany
 +
* Deadline: Until filled
 +
* Date Posted: January 20, 2014
 +
* Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de
 +
 
 +
'''Job Description:'''
 +
 
 +
The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as
 +
 
 +
* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities
 +
 
 +
located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)
 +
 
 +
The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.
 +
 
 +
The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.
 +
 
 +
'''Requirements:'''
 +
 
 +
We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.
 +
 
 +
We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.
 +
 
 +
 
 +
'''How to Apply:'''
 +
 
 +
Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.
 +
 
 +
 
 +
'''Information about the institute:'''
 +
 
 +
The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.
 +
 
 +
 
 +
== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
 +
 
 +
* Employer: The German Institute for International Educational Research (DIPF)
 +
* Title: Research Scientist
 +
* Specialty: Automated Language Processing / Text Mining / Digital Humanities
 +
* Location: Frankfurt am Main, Germany
 +
* Deadline: February 14, 2014
 +
* Date Posted: January 13, 2014
 +
* Contact email: gurevych (at) dipf (dot) de
 +
 
 +
'''Information about the institute:'''
 +
 
 +
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
 +
 
 +
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.
 +
 
 +
 
 +
'''Job Description:'''
 +
 
 +
At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an
 +
 
 +
* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)
 +
 
 +
The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in  textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).
 +
 
 +
The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.
 +
 
 +
The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).
 +
 
 +
We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).
 +
 
 +
Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
 +
 
 +
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
 +
 
 +
'''Requirements:'''
 +
 
 +
* Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
 +
* Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
 +
* Very good English language skills (written and spoken) and at least basic knowledge of German;
 +
* Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;
 +
 
 +
Experience in automated language processing, text mining or digital humanities is preferred.
 +
 
 +
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.
 +
 
 +
 
 +
'''How to apply:'''
 +
 
 +
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
 +
 
 +
 
 +
 
 +
== Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
 +
 
 +
* Employer: The German Institute for International Educational Research (DIPF)
 +
* Title: Research Scientist
 +
* Specialty: scientific coordination and transfer in computer science, knowledge and language processing
 +
* Location: Frankfurt am Main, Germany
 +
* Deadline: February 14, 2014
 +
* Date Posted: January 13, 2014
 +
* Contact email: gurevych (at) dipf (dot) de
 +
 
 +
'''Information about the institute:'''
 +
 
 +
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
 +
 
 +
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.
 +
 
 +
'''Job Description:'''
 +
 
 +
At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a
 +
 
 +
* Research Scientist (two-year contract, full time, EG13 TV-H*)
 +
 
 +
for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.
 +
 
 +
 
 +
The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013  at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education.  The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.
 +
 
 +
The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.
 +
 
 +
The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web.
 +
We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management. 
 +
 
 +
A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
 +
 
 +
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
 +
 
 +
 
 +
'''Requirements:'''
 +
 
 +
- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain;
 +
- Very good English language skills (written and spoken) and at least basic skills in German;
 +
- Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate;
 +
- Experience in coordinating distributed software development and its Integration;
 +
- Experience in conceptualising and conducting events for scientists, users, and the public.
 +
- Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.
 +
 
 +
Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.
 +
 
 +
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.
 +
 
 +
 
 +
'''How to apply:'''
 +
 
 +
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
 +
 
 +
 
 +
== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==
 +
 
 +
* Employer: Institute of Information Science, Academia Sinica
 +
* Rank or Title: Assistant/Associate/Full Research Fellow
 +
* Specialty: Chinese Natural Language Processing and Knowledge Representation
 +
* Location: Taipei, Taiwan
 +
* Deadline: Open until filled
 +
* Date Posted: January 7, 2014
 +
* Contact email: recruit@iis.sinica.edu.tw
 +
 
 +
'''Job Description:'''
 +
 
 +
The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.
 +
 
 +
Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.
 +
 
 +
Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.
 +
 
 +
For additional information about IIS, please visit http://www.iis.sinica.edu.tw
 +
 
 +
'''Required Qualifications:'''
 +
 
 +
All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.
 +
 
 +
Fluency in Chinese is an advantage, but not required.
 +
 
 +
'''How to Apply:'''
 +
 
 +
All candidates should send detailed curriculum vitae, and at least three letters of recommendation to
 +
 
 +
Dr. Wen-Lian Hsu, Director
 +
 
 +
Institute of Information Science
 +
 
 +
Academia Sinica
 +
 
 +
Nankang 115, Taipei, Taiwan
 +
 
 +
TEL: 886-2-2788-3799ext.1804
 +
 
 +
FAX:886-2-2782-4814
 +
 
 +
E-mail: recruit@iis.sinica.edu.tw
 +
 
 +
== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==
 +
 
 +
* Employer: Johns Hopkins University
 +
* Rank or Title: Postdoctoral Fellow
 +
* Specialty: Computational Linguistics/Cognitive Science
 +
* Location: Baltimore, MD, USA
 +
* Deadline: February 17, 2014 or until filled
 +
* Date Posted: January 7, 2014
 +
* Contact email: INSPIREpostdoc@jhu.edu
 +
 
 +
'''Brief Job Description:'''
 +
 
 +
Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.
 +
 
 +
The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.
 +
 
 +
Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics
 +
 
 +
'''Detailed Job Description:'''
 +
 
 +
The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.
 +
 
 +
The ideal appointee will conduct development and extensive testing of:
  
−
The position is suitable for a candidate with a PhD in Natural
+
* general-purpose software to support symbolic-level computation over gradient symbol structures
−
Language Processing, computer science, mathematics, or a related
 
−
discipline. The successful applicant will have strong programming
 
−
skills and experience with natural language processing techniques and
 
−
machine learning. Experience with summarization and/or optimization
 
−
methods is also desirable. He or she will be responsible for
 
−
developing summarization models (both extractive and abstractive)
 
−
within a global inference framework evaluation and for their
 
−
evaluation. The starting date will be 01 September 2008, or as soon as
 
−
possible thereafter.
 
  
−
Informal inquiries can be made by email to Mirella Lapata
+
* general-purpose software for simulating neural network implementations of this gradient symbolic computation
−
(mlap@inf.ed.ac.uk). Further particulars for this position can be
 
−
found at:
 
  
−
http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3009188
+
* new machine-learning algorithms, including deep compositional networks
  
−
The closing date for applications is 15 July 2008. Please submit your
+
* new theories of compositional vector-space semantics and new neural-network architectures for implementing them
−
application online at the URL given above or in hardcopy to the
 
−
following address, quoting job reference 3009188:
 
  
−
Ms. Avril Heron
+
* new psycholinguistic models of human syntactic production and comprehension processes
−
HCRC, University of Edinburgh
 
−
2 Buccleuch Place
 
−
Edinburgh EH8 9LW
 
−
United Kingdom
 
−
School of Informatics
 
  
−
==  Job Announcement: Natural Language Processing expert, Market Sentinel Ltd, London, UK ==
+
Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.
  
−
* Employer: Market Sentinel Ltd, 9 Wigton Place, London SE11 4AN, UK +44 (0) 20 7793 1575
+
The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.
−
* Title: Natural Language Processing expert (contract)
 
−
* Deadline: May 30, 2008 (open until filled)
 
−
* Date Posted: May 14th, 2008
 
−
* Market Sentinel website: http://www.marketsentinel.com
 
−
* We're a London-based company with a focus on social network analysis.
 
−
* We offer a rare opportunity to join a young, fast-growing company.
 
−
* The raw materials we process are online conversations, so we're looking for someone with expertise in natural language processing to join our team.
 
−
* Our aim is to improve the ability of our platform to understand the text it encounters.
 
−
* We're looking for a smart, self-motivated problem-solver whose keen to apply computational linguistics technology to the real world.
 
−
* Knowledge of agile software development on a Linux platform would be helpful, as would experience of Python, Java, Perl and XML processing.
 
−
* As we're an agile team, we like eloquent people who can communicate as well with other people as they can with machines.
 
−
* We want more than just a developer, someone who can research problems, identify solutions and implement them. Your talents will help construct an emerging enterprise. If such challenges excite you, we'd love to hear from you.
 
  
−
* Mail a CV to joinmarketsentinel [AT] gmail [DOT} com or call us to know more on the number above
+
'''How to Apply:'''
  
−
== Job Announcement: Programmer Analyst - Arabic Treebank, Linguistic Data Consortium, Philadelphia, USA ==
+
Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.
  
−
* Employer: Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
+
Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.
−
* Title: Programmer Analyst (full-time position)
 
−
* Specialty: Corpus Creation, Arabic Treebank
 
−
* New Deadline: August 15, 2008 (open until filled)
 
−
* Date Posted: April 9, 2008
 
−
* LDC website: http://www.ldc.upenn.edu
 
−
* See full job description: http://linguistlist.org/jobs/get-jobs.cfm?JobID=53141&SubID=174250
 

Revision as of 08:43, 7 July 2014

NLP-Speech Data Scientist / Civis Analytics / Chicago, IL, USA

  • Employer: Civis Analytics
  • Title: Data Scientist
  • Specialty: Natural Language Processing / Speech Processing / Machine Learning
  • Location: Chicago, Illinois, USA
  • Deadline: Rolling
  • Date Posted: July 7, 2014

Who We Are:

Our Company is a Chicago-based Big Data analytics firm born in a large windowless back room of President Obama’s 2012 re-election campaign. We called it “The Cave.”

Beginning with the campaign, our mission as a team has been clear: help great organizations use their Big Data to solve their biggest problems. We are now applying our analytical expertise, specialized software, and innovative technological approach to help companies, non-profits, and campaigns leverage their data to develop smarter strategies, make better decisions, and build stronger, data-driven organizations. In the year since our company’s founding, we have helped solve problems as diverse as enrolling individuals for health insurance, optimizing TV ad purchases to reach more targets, and pinpointing individuals who want to sign up for a clean energy utility company.

We are not a group of spreadsheet management consultants; we are an inventive team of the best statisticians, scientists, engineers, and technologists in our fields building things that have never been built before. And we’re looking to add to our team.

We are already solving some of the world’s most demanding and complex problems with Big Data – working with organizations to analyze and understand their individual level intelligence to improve outcomes and implement organizational change. We work on teams with diverse skill sets to apply and invent new data science techniques, putting us at the forefront of innovation in our field as we solve problems that have never been solved before.

We are smart, fun, and a little bit weird. Does this sound like you?

Job Description:

The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research. As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas.

With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.

We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

Minimum Qualifications:

  • Master’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering, or a Bachelor’s degree and outstanding work experience
  • Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision.
  • Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
  • Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
  • Experience with SQL databases
  • Strong programming skills
  • Experience identifying and correcting for problems in imperfect data
  • An ability and eagerness to constantly learn and teach others

Preferred Qualifications:

  • PhD in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
  • Ability to expand upon modern statistical learning methods
  • Significant work experience in applying the methodology of one or more unstructured data analysis fields
  • High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
  • Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
  • Theoretical understanding sufficient to independently implement complex neural network architectures

Location:

This posting is for a position in Civis’ Chicago headquarters.

Dates:

We are hiring for multiple positions and will evaluate candidates as applications are received.

How to Apply:

Applications may be submitted at http://www.civisanalytics.com/apply/entry/data-scientist-chicago-il. Specific inquiries may be directed to Derrick Higgins: dhiggins@civisanalytics.com.


Postdoc in Natural Language Processing / Aix-Marseille University / Marseille, France

  • Employer: Aix-Marseille University
  • Title: Postdoc
  • Specialty: Natural Language Processing
  • Location: Luminy, Marseille, France
  • Deadline: July 1st, 2014
  • Date Posted: June 12, 2014

Job Description:

We are looking for an outstanding research scientist to join the "SENSEI" european project (http://www.sensei-conversation.eu/). You will contribute to conversation analysis summarization research to allow the exploitation of large quantity of comments in social media and spoken conversations.

You will contribute to the design and development of speech and text summarization technologies for conversational data such as social media comments and tweets. There will be three components to the system: linguistic analysis of the conversations, content selection and aggregation, and generation of the summaries (text or other media). The approach is expected to make use of recent machine learning advances such as deep learning, and focus on limiting the quantity of supervision needed. The prototype will be evaluated by end-user professionals in ecological conditions.

Qualifications:

The applicant must hold a PhD degree, preferably in the field of natural language processing or machine learning. He/she should:

  • Be proficient in one of Java / C++ programming and python or php scripting
  • Have experience with developing efficient NLP / machine learning systems.
  • Be keen on researching the literature and writing papers
  • Enjoy team work and be autonomous

Location:

You will work at the LIF computer science lab at Aix-Marseille University in France, at the Luminy campus next to the calanques.

Dates:

Interviews will be held in July 2014, the Postdoc will start in september / october 2014 and last one year.

How to Apply:

Enquiries and applications should be sent to Benoit Favre: benoit.favre@lif.univ-mrs.fr

Executive Director / CLARIN ERIC / Utrecht University, the Netherlands

  • Employer: CLARIN ERIC through Utrecht University
  • Title: Executive Director
  • Specialty: Research Infrastructures
  • Location: Utrecht University, the Netherlands
  • Deadline: August 15, 2014
  • Date Posted: June 10, 2014

Job Description:

CLARIN is one of the two big humanities pan-European research infrastructures on the ESFRI roadmap with global ambitions, expected to expand rapidly in the near future. It currently has about 25 centres in 10 countries and the number is growing. At the same time CLARIN is participating actively in several emerging global data infrastructure initiatives (e.g. RDA, EUDAT). In addition it is actively pursuing its collaboration with other international humanities research infrastructures such as DARIAH.

As our current Executive Director is retiring, CLARIN is looking for an inspiring person to continue this successful enterprise and lead it to the next level.

The main challenges the new executive director needs to lead on in the next years are: the expansion and the sustainability of CLARIN, to balance the central and distributed activities, increase outreach to new user communities, new collaboration partners and new continents, and to promote collaboration with commercial partners.

Responsibilities:

  • Leading the Board of Directors of the CLARIN ERIC
  • Building on prior work, drafting strategy, work programme, budget and staff plan for CLARIN
  • Planning the technical development together with the Technical Director, overseeing the implementation and operation of the distributed infrastructure and coordinating centre cooperation
  • Ensuring the long-term sustainability of CLARIN and guiding its European and global expansion
  • Building strong pan-European and international relationships with a broad range of stakeholders within and outside the consortium. This includes CLARIN members, the relevant ministries and funding bodies, external language resource providers, the EU, and international bodies, including research infrastructures on the European Strategy Forum on Research Infrastructures (ESFRI) Roadmaps as well as other research infrastructures
  • Leading the international fundraising efforts for CLARIN
  • Monitoring and measuring CLARIN’s activities and reporting to General Assembly
  • Specifically, monitoring the adherence of the national consortia to the operational rules and standards for CLARIN-related operations, and developing recommendations for counter-measures for any irregularities
  • Ensuring that CLARIN’s services comply with appropriate ethical, legal and societal norms and principles
  • Planning, organizing, and managing the main office in Utrecht, which includes recruitment
  • Facilitating and supporting the operation of CLARIN’s governance bodies

Qualifications:

  • A higher university degree or equivalent qualifications and an international interdisciplinary network
  • Relevant experience in the European Research Area, international arena, as well as in European level funding mechanisms and understanding of the ESFRI process
  • An understanding of current and emerging agendas and challenges in data management and curation in the humanities domain
  • Excellent communicative skills
  • A proven fundraising record
  • A record of relevant academic excellence
  • The ability to understand organisational and technical issues involved in building, maintaining, and federating digital repositories, catalogues, authentication services, and similar infrastructure components based on modern information technologies

How to Apply

For more information, please visit http://www.clarin.eu/news/vacancy-advertisement-executive-director


Research Scientist in Natural Language Technologies / Bosch Research & Technology Center / Palo Alto, California

  • Employer: Bosch Research & Technology Center
  • Title: Research Scientist in Natural Language Technologies (PhD)
  • Specialty: Natural Language Processing
  • Location: Palo Alto, California, United States, 94304
  • Deadline: Until filled
  • Date Posted: May 19, 2014

Job Description:

The Language Interaction and Knowledge Engineering group of Bosch Research in Palo Alto, CA is responsible for shaping the future user experience of Bosch products by creating cutting-edge technologies. We collaborate closely with leading universities on solutions to hard challenges in speech, language, knowledge topics to enable natural, intuitive and intelligent communication between humans and computers. We work with internal partners to transfer our ideas and solutions into future products. Over the years, we have already developed innovative world-leading technologies in the areas of human machine interaction (HMI) systems.

To strengthen the Language Interaction and Knowledge Engineering team in our Palo Alto office we are seeking enthusiastic and creative researcher with a strong desire to drive technology development in this area.

Responsibilities:

  • Develop large-scale natural language technologies and components, and improve the state-of-the-art HMI system performance with various methods
  • Together with a team of experts, adapt and integrate language processing components into Bosch HMI system for different business areas
  • Communicate with business departments about the technology potentials as well as identify potential areas of business values.


Qualifications:

  • Ph.D. in Computer Science or related fields
  • Strong research background in natural language technology development and applications, text mining, machine learning, and statistics
  • Hands-on experience with natural language processing, text mining and machine learning algorithm implementation
  • Strong skills in coding (C/C++ or Java), algorithms and system design
  • Very good communication skill together with good quality publication
  • Experience in text summarization research and development is a plus
  • Experience in large system development and speech technology is a plus


How to Apply

For more information, and to apply online, please visit http://bit.ly/1k8UZ57


Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL

  • Employer: Toyota Technological Institute at Chicago
  • Title: Post-doctoral scholar
  • Specialty: Machine learning, NLP, computer vision, speech
  • Location: Chicago, IL, United States, 60637
  • Deadline: Until filled
  • Date Posted: May 12, 2014


Job Description

Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.


The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.


The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan. The position will remain open until filled.


Responsibilities

The goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.


Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.


Qualifications

Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field. There are no citizenship requirements.


How to Apply

Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:

  • brief cover letter, describing your interest in and qualifications for the position
  • curriculum vitae including publication list
  • contact information for two or more researchers who can provide letters of reference

Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.

Postdoctoral Fellow / INRIA / Saclay

  • Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
  • Title: PostDoc (12 months)
  • Specialty: Natural Language Processing
  • Location: Palaiseau, Ile-de-France, France
  • Deadline: June 30, 2014
  • Date Posted: May 6, 2014


Job Description

The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.

Duties

Reporting to the Dr. Gregory Grefenstette, your typical duties will include the following:

  • Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
  • Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
  • Discover and adapt existing open data taxonomies to the platform;
  • Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources


Required Qualifications

The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer science, computational linguistics or a related discipline.

  • Experience with natural language processing (e.g., Stanford Parser)
  • Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
  • Experience with classification algorithms
  • Familiarity with dealing with large, noisy data sets
  • Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
  • Desire to produce functioning end-to-end systems, life-scale live demos
  • Scientific rigour
  • Imagination

How to Apply

Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242

Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.

About Us

Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..

For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014

Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre

  • Employer: University of British Columbia and BC Cancer Agency
  • Title: PostDoc
  • Specialty: Natural Language Processing, Machine Learning
  • Location: Vancouver, British Columbia, Canada
  • Deadline: Until filled
  • Date Posted: March 26, 2014

Job Description

The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics Technology Lab to conduct scientific research in the areas of bioinformatics and genomics, specifically related to automated analysis and annotation of cancer research literature.

The successful applicant will work with trainees and research scientists in a team that develops tools for a clinical genomics pipeline based on primary sequence analysis, to build natural language processing and machine learning tools that interpret identified mutations for their biological significance as they relate to reports in the relevant literature.

Duties

Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your typical duties will include the following:

  • Building natural language processing and machine learning tools for automated literature survey
  • Analysis and annotation of data from genomics studies as they relate to the literature
  • Collaborating with biologists and clinical researchers on the accuracy of the results
  • Reporting research methods and results in meetings, seminars and conferences
  • Contribution to and leading scientific publications and research proposals

Required Qualifications

The ideal candidate should possess a PhD degree and recent proven experience in computer science, electrical engineering or a related discipline. A strong publication record in the field, and demonstrated technical writing skills are highly desirable. Prior research experience in bioinformatics is also desirable, but not required.

More experienced candidates will be considered for a Staff Scientist position, pending successful funding.

How to Apply

Please send your resume with cover letter to bcgscjobs@bcgsc.ca We request that you specify the position you are applying for by identifying the Job Code only ("PDFBTL 14-03-27") in the subject line of your emailed application.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

About Us

Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.

For more information, please visit www.bcgsc.ca

PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA

  • Employer: University of Massachusetts Medical School
  • Title: PostDoc
  • Specialty: Natural Language Processing, Machine Learning
  • Location: Worcester, Massachusetts, United States, 01605
  • Deadline: Until filled
  • Date Posted: March 26, 2014


Job Description

We are seeking 1~2 highly motivated postdoctoral research associate to join the Biomedical Natural Language Processing (BioNLP) group at UMass Medical School and UMass Amherst. This position will primarily be located at the UMass Medical School in Worcester, MA. The BioNLP group is actively pursuing many exciting projects including: information retrieval, information extraction, summarization, question answering, data mining, and patient-centered research. A highly productive candidate may transition to a faculty position.


Responsibilities

The successful candidates will help investigate new algorithms to support our current research thrusts. This will require extensive experience with data mining (DM) and natural language processing (NLP).


Qualifications

Candidates for this position should have a PhD in Computer Science or related field and a significant research record including publications in top conferences and journals in:

  • Natural Language Processing
  • Machine Learning
  • Data Mining or Data Analysis

Proficiency in quantitative analytical methods and strong programming skills (e.g., python, matlab, java, C/C++, weka, etc.), along with extensive research experience in hands-on machine learning (ML) and data mining (DM), is essential. Additional experience in bioinformatics or figure search and analysis is desirable.

Successful applicants will join a vibrant collaborative research environment, will work closely with clinical investigators and senior personnel in the lab, and should have the ability to work effectively both independently and as part of a multidisciplinary team. The position will be for one year, renewable annually, starting Summer or Fall 2014.


How to Apply

Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and include a brief letter of introduction, a CV including list of publications in PDF format, and names and email addresses of 2-3 referees.


Background

Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.

Competitive Salary based on experience.

Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey

  • Employer: Educational Testing Service
  • Title: Research Director NLP and Speech Processing
  • Specialty: Natural Language Processing / Speech Processing
  • Location: Princeton, New Jersey, United States, 08541
  • Deadline: Until filled
  • Date Posted: March 12, 2014

Job Description:

ETS (Educational Testing Service), is headquartered in Princeton, NJ. 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.

Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.

Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.

In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.

Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.

Requirements:

To qualify, you must possess:

  • A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
  • Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
  • Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.

How to Apply:

Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538

Information about the institute:

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.

With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer

Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

  • Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
  • Title: Research Intern
  • Specialty: Natural Language Processing / Text Mining / Digital Humanities
  • Location: Darmstadt/Frankfurt am Main, Germany
  • Deadline: Until filled
  • Date Posted: January 20, 2014
  • Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de

Job Description:

The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as

  • Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)

The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.

The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.

Requirements:

We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.

We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.


How to Apply:

Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.


Information about the institute:

The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.


Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main

  • Employer: The German Institute for International Educational Research (DIPF)
  • Title: Research Scientist
  • Specialty: Automated Language Processing / Text Mining / Digital Humanities
  • Location: Frankfurt am Main, Germany
  • Deadline: February 14, 2014
  • Date Posted: January 13, 2014
  • Contact email: gurevych (at) dipf (dot) de

Information about the institute:

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.


Job Description:

At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an

  • Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)

The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).

The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.

The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).

We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).

Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time. 

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)

Requirements:

  • Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
  • Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
  • Very good English language skills (written and spoken) and at least basic knowledge of German;
  • Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;

Experience in automated language processing, text mining or digital humanities is preferred.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.


How to apply:

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.


Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main

  • Employer: The German Institute for International Educational Research (DIPF)
  • Title: Research Scientist
  • Specialty: scientific coordination and transfer in computer science, knowledge and language processing
  • Location: Frankfurt am Main, Germany
  • Deadline: February 14, 2014
  • Date Posted: January 13, 2014
  • Contact email: gurevych (at) dipf (dot) de

Information about the institute:

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.

Job Description:

At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a

  • Research Scientist (two-year contract, full time, EG13 TV-H*)

for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.


The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013 at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education. The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.

The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.

The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web. We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management.

A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time. 

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)


Requirements:

- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain; - Very good English language skills (written and spoken) and at least basic skills in German; - Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate; - Experience in coordinating distributed software development and its Integration; - Experience in conceptualising and conducting events for scientists, users, and the public. - Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.

Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.


How to apply:

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.


Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan

  • Employer: Institute of Information Science, Academia Sinica
  • Rank or Title: Assistant/Associate/Full Research Fellow
  • Specialty: Chinese Natural Language Processing and Knowledge Representation
  • Location: Taipei, Taiwan
  • Deadline: Open until filled
  • Date Posted: January 7, 2014
  • Contact email: recruit@iis.sinica.edu.tw

Job Description:

The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.

Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.

Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.

For additional information about IIS, please visit http://www.iis.sinica.edu.tw

Required Qualifications:

All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.

Fluency in Chinese is an advantage, but not required.

How to Apply:

All candidates should send detailed curriculum vitae, and at least three letters of recommendation to

Dr. Wen-Lian Hsu, Director

Institute of Information Science

Academia Sinica

Nankang 115, Taipei, Taiwan

TEL: 886-2-2788-3799ext.1804

FAX:886-2-2782-4814

E-mail: recruit@iis.sinica.edu.tw

Computational Postdoc position, Johns Hopkins University, Cognitive Science

  • Employer: Johns Hopkins University
  • Rank or Title: Postdoctoral Fellow
  • Specialty: Computational Linguistics/Cognitive Science
  • Location: Baltimore, MD, USA
  • Deadline: February 17, 2014 or until filled
  • Date Posted: January 7, 2014
  • Contact email: INSPIREpostdoc@jhu.edu

Brief Job Description:

Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.

The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.

Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics

Detailed Job Description:

The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.

The ideal appointee will conduct development and extensive testing of:

  • general-purpose software to support symbolic-level computation over gradient symbol structures
  • general-purpose software for simulating neural network implementations of this gradient symbolic computation
  • new machine-learning algorithms, including deep compositional networks
  • new theories of compositional vector-space semantics and new neural-network architectures for implementing them
  • new psycholinguistic models of human syntactic production and comprehension processes

Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.

The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.

How to Apply:

Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.

Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.

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