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Pre-doctoral research fellowship in computer vision per a Computer Vision Center

Xerox Research Centre Europe (XRCE) and the Computer Vision Center (CVC) at the Universitat Autònoma de Barcelona (UAB) are seeking a candidate for ONE pre-doctoral research fellowship.

Fellowship profile: Computer Vision scientific project jointly developed by XRCE and CVC/UAB. The project aims at exploring the use of synthetic data to tackle object detection and image classification challenges building on the strong competencies of CVC and XRCE in those aspects. The PhD student will be incorporated into the official PhD degree of the CVC/UAB. The PhD student will be physically located at XRCE and will occasionally visit the CVC/UAB. Therefore, the student will have a PhD supervisor from the CVC/UAB and another from XRCE.

Candidate’s requirements: university degree in computer science, telecommunications, mathematics or physics and graduated with good marks in his/her studies. Moreover, a master degree in either Computer Vision, Machine Learning or Applied Mathematics is also required. Selection will be done based on the candidate’s qualifications. And other requirements:

  • High motivation for research.
  • Capability of working in an autonomous way.
  • Good mathematical understanding.
  • Good programming skills (C, C++, MatLab, Python).
  • Good communication skills in English, both in written and oral form.
  • Good background on machine learning or pattern recognition.

Fellowship duration: three years.

Beginning of the fellowship: within the period October 2013-January 2014.

Nature of the Fellowship: The enjoyment of the fellowship under this call is incompatible with any other fellowships or grants financed with public or private funds, or with the earning of other salaries which imply a contractual or statutory bind of the said fellowship recipient to another company.

Application: candidates should send an e-mail with the required information (see below) to <> (subject: XRCE-ADAS_CVC-2013) before September 10th, 2013.

Send your Curriculum Vitae and Academic Record, Application letter and letters of Reference (if available) including the following data (see annex)


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