Postdoctoral position in Natural Language Processing and Machine Learning in Denmark

Postdoctoral position in Natural Language Processing and Machine Learning

The Center for Language Technology, Faculty of Humanities, University of Copenhagen, Denmark, invites applications for a 2-year postdoctoral position in Natural Language Processing (NLP) and Machine Learning (ML) to be filled by January 1 2015 or as soon as possible thereafter. The postdoctoral position is available within the 5-year European Research Council Starting Grant project Parsing Low-Resource Languages and Domains (LOWLANDS) led by Associate Professor Anders Søgaard.

The Center for Language Technology currently employs researchers and engineers of many different nationalities. The center has considerable experience managing international research projects, frequently attracts visiting researchers and has organized several major conferences in the field. The center offers a joint MA program on text and image processing with the Department of Computer Science, the MA in IT & Cognition, which currently takes in 25-30 students a year.

Job content
The LOWLANDS project is about learning how to parse natural language for which no unbiased labeled data exists, considering both low-resource languages and low-resource domains. It is perhaps the most fundamental challenge in NLP right now that the labeled data available for most practical applications is scarce and heavily biased. Parsing here refers to all levels of syntactic analysis, including part-of-speech tagging, dependency parsing, constituent parsing, as well as semantic role labeling and frame semantics.

Qualification requirements
In order to be considered for the position applicants must have research qualifications at least corresponding to what can be achieved as part of a successfully completed PhD within a relevant field.

The applicant should have considerable programming experience, as well as a strong background in ML (preferably unsupervised, semi-supervised or transfer learning) or statistical NLP. Applicants that can document experience in both fields are preferred.

The postdoctoral researcher is expected to publish at the top international conferences or in the best journals in the field (including both NLP and ML), and previous publications in these venues will be emphasized when evaluating applications.

For further details about the qualification requirements to postdocs, please refer to Circular no. 9427 of 13 June 2007 concerning the job structure for academic staff http://www.ubst.dk/lovgivning/personalejura-medarbejdere/ny_stillingsstruktur_eng.pdf/view?searchterm=None

For further information about the position, please contact Project Leader Anders Søgaard (soegaard@hum.ku.dk) or Director of the Center for Language Technology Bente Maegaard (bmaegaard@hum.ku.dk).

Application
The application must be submitted online in Adobe PDF or Word format.
ZIP-files cannot be uploaded.

Please click on the "Apply online" icon at the bottom of the page.

Please note that each field in the application form may only contain a single file of max. 20Mb.

The application must be written in English and include the following enclosures:

Application letter/cover letter
Appendix 1: CV
Appendix 2: Documentation of qualifications (examination certificates/PhD diploma, etc.)
Appendix 3: Complete and numbered list of publications. The enclosed publications must be marked with an asterisk
Appendix 4: Research plan, including a short description of previous research and a plan for the coming years that includes an account of involvement in organising research, establishment of research seminars, symposia and congresses etc.
Appendix 5: Documentation of teaching qualifications and research dissemination, if any. *
Appendix 6: Publications. Applicants may choose a maximum of three publications for assessment, of which at least two must have been published within the five years immediately preceding the deadline for applications. Publication dates must be clearly marked on the publication list. The publications selected must be uploaded as attachments and numbered from 1-3.

*This field is compulsory in the application form and related to other position categories. You should only provide a brief description of your teaching experiences. Or you can upload references or recommendations etc.

Only material in English can be expected to be assessed.

All material will be shredded at the end of the appointment procedure.

Appointment procedure
After the application deadline, the Dean will set up an expert assessment committee to evaluate applicants in relation to the advertised position. The applicants will be informed about the composition of the committee, and will have the opportunity to comment on the part of the assessment relating to him or her before the appointment is finalised.

Please refer to ministerial order no. 284 of 25 April 2008 concerning the appointment of academic staff at universities ministerial order http://www.ku.dk/regel/2/2031.html

Applicants will be continuously informed about the progress of the procedure by e-mail.

Further information about the procedure is available from HR and Personnel Officer Helle Schæbel e-mail: VIPadmin@hum.ku.dk.

Salary and conditions of employment
The post will be filled according to the Agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations.
Additional bonuses may be negotiated on an individual basis.

A special tax scheme is offered to researchers recruited abroad, http://ism.ku.dk/taxes.

The University of Copenhagen wishes to encourage everyone interested in this post to apply, regardless of personal background.

The closing date for applications is 23.59 CET, 15 September 2014.

Please quote reference number 211-0159/14-4000 in your application.
Send ansøgning

The University of Copenhagen actively influences current and future generations through excellent research, education and co-operation. UCPH is one of the highest ranked universities in Europe and is Denmark´s oldest university, founded in 1479. Today, the University has 37,000 students and 9,000 employees affiliated across six faculties: humanities, law, natural sciences, social sciences, health sciences and theology. www.ku.dk/english/.

Deadline: 15-09-2014
Publisher: Faculty of Humanities

http://www.ku.dk/english/available_positions/vip/

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