The Computer Vision Group headed by Prof. Thomas Brox has openings for 2 PhD positions. We are seeking applicants with a strong interest in vision and learning.
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 mainly on developing new learning methods for part-based recognition models.
The positions are fully funded with a salary according to TVL13 (approximately 39k-42k Euro depending on proficiency). The 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.
The University of Freiburg is one of the nine top universities in Germany, with the Computer Vision Group being directly involved in the BIOSS cluster of excellence. The Department of Computer Science hosts many great scientists, among them renowned experts in Robotics and Artificial Intelligence. Freiburg, the warmest spot in Germany, is located in the very southwest, and is only 30 minutes away from 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 have an excellent degree (M.Sc. or equivalent) in Computer Science, Physics, or Mathematics. You must have a strong mathematical background and solid programming experience in C++ and ideally Matlab. Above all, you must have learned to work independently, have a strong motivation, interest for detailed analysis, and a distinct desire to learn. Prior experience in computer vision or machine learning is advantageous. Fluency in English (both written and spoken) is required.
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.
The positions are available from January 2012 with the exact starting date being flexible. If you are interested, please send your complete application via e-mail as early as possible and by December 15th, 2011 at the latest. Detailed instructions are given below.
Contact: Prof. Dr. Thomas Brox
Motivation letter
Your 1-2 page essay should contain the following details (not necessarily in this order):
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 at least month-accurate.
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 awards you might have got or papers you might have published already. You may also mention hobbies if you like.
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 interpreted. If possible give evidence in which quantile of all graduates you are at your school.
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.).
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. Combine all documents to a single PDF file or at least name the separate files appropriately.
For more information, click here
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 mainly on developing new learning methods for part-based recognition models.
The positions are fully funded with a salary according to TVL13 (approximately 39k-42k Euro depending on proficiency). The 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.
The University of Freiburg is one of the nine top universities in Germany, with the Computer Vision Group being directly involved in the BIOSS cluster of excellence. The Department of Computer Science hosts many great scientists, among them renowned experts in Robotics and Artificial Intelligence. Freiburg, the warmest spot in Germany, is located in the very southwest, and is only 30 minutes away from 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 have an excellent degree (M.Sc. or equivalent) in Computer Science, Physics, or Mathematics. You must have a strong mathematical background and solid programming experience in C++ and ideally Matlab. Above all, you must have learned to work independently, have a strong motivation, interest for detailed analysis, and a distinct desire to learn. Prior experience in computer vision or machine learning is advantageous. Fluency in English (both written and spoken) is required.
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.
The positions are available from January 2012 with the exact starting date being flexible. If you are interested, please send your complete application via e-mail as early as possible and by December 15th, 2011 at the latest. Detailed instructions are given below.
Contact: Prof. Dr. Thomas Brox
Detailed instructions for applicants
Your application must comprise:Motivation letter
Your 1-2 page essay should contain the following details (not necessarily in this order):
- 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?
- What attracts you to the field of computer vision?
- Which problem(s) in computer vision or learning are you most interested in? Pick one and describe some coarse ideas how you would approach the problem.
- Which skills, what personality do you think can you contribute to the group? Which kind of person are you (e.g. creative, analytic, communicative, pragmatic, etc.) and what kind of work do you like most? What do you consider to be your 5 top strengths?
- Why do you wish to continue your career as a PhD student?
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 at least month-accurate.
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 awards you might have got or papers you might have published already. You may also mention hobbies if you like.
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 interpreted. If possible give evidence in which quantile of all graduates you are at your school.
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.).
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. Combine all documents to a single PDF file or at least name the separate files appropriately.
For more information, click here