The Pattern Recognition and Image Processing Group headed by Prof. Thomas Brox has openings for PostDoc and PhD positions in Computer Vision. We are seeking applicants with a strong interest in performing cutting edge research in this very active and exciting research area.
Successful candidates will join a young and dynamic research group pursuing research that has strong impact in the field. The group’s core research areas are video analysis and learning from video. You will work on recognition, structure-from-motion, or motion segmentation, but especially PostDoc candidates are encouraged to also build upon their previous research experience and may work on related computer vision or machine learning topics of their interest.
The open positions are fully funded with a salary according to TVL13 (approximately 38k-45k Euro or $46k-$54k depending on proficiency). The PhD positions come with direct supervision by the professor and support to enable completion of the thesis within 3 years. Funding for up to 2 more years is available. PostDocs will be mentored to build up their own academic career.
The University of Freiburg is one of the nine top universities in Germany, with the Pattern Recognition and Image Processing Group being directly involved in the bioss cluster of excellence. The Department of Computer Science hosts many top scientists, among them renowned experts in Robotics and Artificial Intelligence. Freiburg, the warmest spot in Germany, is located in the very southwest, and is less than 30 minutes away from both France and Switzerland. It is situated at the foot of the Schwarzwald and is close to the Alps with many possibilities for recreational activities.
Ideal candidates should have an excellent degree (M.Sc. or equivalent for the PhD position; PhD for the PostDoc position) in Computer Science, Physics, Mathematics, Electrical Engineering, or a related field. They should have a strong mathematical background, solid programming experience in C++ and ideally Matlab. Above all, they must have a strong motivation, interest for detailed analysis, and a distinct desire to learn. Prior experience in computer vision or machine learning is advantageous and required for the PostDoc position. The PostDoc position also requires a strong track record consisting of at least one publication at ICCV, ECCV, CVPR, NIPS, or ICML. Fluency in English is required (both written and spoken).
The University of Freiburg aims to increase the presence of women amongst its scientists, and qualified female candidates are strongly encouraged to apply. Physically challenged candidates with similar qualifications will be given special consideration.
If you are interested, please send your complete application until August 15, 2010 by e-mail (see detailed instructions below). If you will be a participant of ECCV, please contact Thomas Brox to arrange a personal meeting at the conference.
E-Mail:
Homepage of Thomas Brox (currently still at U.C. Berkeley)
Department of Computer Science, Albert-Ludwigs-University of Freiburg
Detailed instructions for applicants
1. Motivation letter
Your 2-3 page letter of motivation should contain the following details (not necessarily in this order):
a) What is your background? In which fields have you studied/worked before and how do you think this can be useful for the present job?
b) What attracts you to the field of computer vision?
c) Which problem(s) in computer vision are you most interested in? Pick one and describe some coarse ideas how you would approach the problem.
d) Which skills, what personality do you think can you contribute to the group? What kind of person are you (e.g. creative, analytic, communicative, pragmatic, etc.) and what kind of work do you like most? We prefer to fill the positions with different personalities, so be as honest as possible.
e) Why do you wish to continue your career as a PhD student/Postdoc?
You may add other details to your motivation letter if you find them important.
2. Curriculum Vitae
Send a classical tabular CV with your contact details, your date-of-birth, a current photograph, and all stages of education and employment. Begin and end dates should be month-accurate.
3. List of skills, awards, publications, hobbies
List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list any awards you might have got or papers you might have published already. You may also mention hobbies if you like.
4. Score records
Send copies of all your degrees and score records. If scores are neither compatible with the German nor the US system, give indication how your scores can be translated into one of these systems or give evidence in which quantile of all graduates you are at your school.
5. Contact details of at least two academic references
If possible, please contact the references prior to listing their names. Sort them with the person who knows you best ranked first and give indication how each person is related to you. Try to select references who have supervised you while doing research (some project work, graduation thesis, etc.). Postdoc candidates must include their PhD advisor(s).
Your application can be in English or German. Please choose the language you are more familiar with.
Please send your application by e-mail only!
All documents must be in PDF format and must not be compressed. If possible, combine all documents to a single PDF file.
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