[agents] Postdoc position - Data mining and machine learning (Maastricht University, The Netherlands)

[Weiss Gerhard (DKE)]

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POSTDOC POSITION --  Data Mining and Machine Learning


The Department of Knowledge Engineering (DKE) at the Faculty of Humanities and Sciences of Maastricht University (UM), the Netherlands, invites applications for a full-time postdoc position with a focus on machine learning and data mining. The position is part of a project funded within the STW-NIHC-Philips Research Partnership Program on Healthy Lifestyle solutions. The goal of the project is to develop a hardware/software system which supports overweight people in  controlling their eating behavior. The project will be conducted in close cooperation with the Faculty of Psychology and Neuroscience of UM and with Philips Research.

The successful applicant will have the opportunity to contribute to cutting-edge research in a highly stimulating academic and industrial environment. The position will be embedded in the RAI research group (Robotics, Agents and Interaction) of the DKE.


**** REQUIREMENTS

Ph.D. in Computer Science/Engineering or a closely related subject area. Demonstrated research and application excellence in data mining and machine learning. Team orientation and willingness to take a leading role in research. Ability to contribute to teaching at the bachelor and master levels. Interest in contributing to research funding acquisition. An applied or theoretical background in cognitive psychology as well as experience in signal/sensor processing would be a plus.


**** CONDITIONS OF EMPLOYMENT

The position is offered for a four-year period. Salary is competitive, depending on qualifications and work experience, and ranges from EUR 2379 to EUR 4374 per month for a full-time job (38 hours/week).

On top of this, there is an 8% holiday and an 8.3% year-end allowance. Non-Dutch applicants could be eligible for a favorable tax treatment (30% rule).


**** ORGANISATION: MAASTRICHT UNIVERSITY (UM) and DEPARTMENT OF KNOWLEDGE ENGINEERING (DKE)

UM (www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl>) is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 14,000 students and 3,500 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad.

Founded in 1992 as part of the Faculty of Humanities and Sciences, today DKE (www.maastrichtuniversity.nl/web/Schools/DKE.htm<http://www.maastrichtuniversity.nl/web/Schools/DKE.htm>) broadly covers Knowledge Engineering in research and teaching. DKE comprises three internationally respected research groups, having their foci on "Robotics, Agents and Interaction", "Networks and Strategic Optimization", and "Biomathematics and Bioinformatics". Education programs currently offered by DKE are Knowledge Engineering (Bachelor), Artificial Intelligence and Operations Research (both Master). DKE has been top-ranked in Keuzegids Hoger Onderwijs. With respect to both research and teaching DKE is engaged in national and international collaborations.

**** HOW TO APPLY

Applicants are asked to email a curriculum vitae (in PDF format) and the names of two potential references to Recruitmentfhs at maastrichtuniversity.nl<mailto:Recruitmentfhs at maastrichtuniversity.nl>. Please write "Postdoc - Data Mining and Machine Learning" in the subject line of your application email.

Screening of applications will begin January 23, 2012 and will continue until the position is filled. Applicants may be called in for an interview. It is intended to occupy this position as soon as possible.

Informal inquiries concerning this position should be directed to Prof. Dr. G. Weiss or  dr. K. Tuyls gerhard.weiss at maastrichtuniversity.nl<mailto:gerhard.weiss at maastrichtuniversity.nl> , +31 43 3883898, k.tuyls at maastrichtuniversity.nl<mailto:k.tuyls at maastrichtuniversity.nl>, +31 43 3883482  .

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