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PhD Position in People Tracking and Detection of Abnormal Behaviour

The PhD candidate will work within an international research project PASSAnT in cooperation with industrial partners from Netherlands and Belgium. The general …

6 maanden geleden


de Rondom, Eindhoven, Noord-Brabant
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur


The PhD candidate will work within an international research project PASSAnT in cooperation with industrial partners from Netherlands and Belgium. The general goal of the project is to enable safety and security of large and small harbours through connected camera network with intelligent surveillance solutions. The PhD candidate will perform research with potential deployment of results in industrial products of ViNotion, Securitas and KPN.

The goal of the PhD candidate is to research and develop efficient algorithms for people tracking over multi-camera network and for detection of abnormal behaviour within a harbour infrastructure. The most challenging target for the research is the automated analysis of the multitude types of people activities and accurate classification of suspicious behaviour types. An additional challenge comes from the fact that some suspicious types can be unseen before. The technical scope is not limited to any specific analysis techniques, but it is foreseen that deep learning techniques and technology will be part of this research.

Video Coding & Architectures
The PhD student will be working in the Video Coding Architecture group (vca.ele.tue.nl ) in the Department of Electrical Engineering at TU/e. The Department of Electrical Engineering is one of the nine departments of the Eindhoven University of Technology and provides BSc and MSc programs in Electrical Engineering. The department has nine research groups and has research collaborations with other departments at the Eindhoven University of Technology as well as with a large number of other universities and companies, both within The Netherlands and internationally. The Electrical Engineering faculty has approximately 300 employees and over a 1000 students.


For this project, a candidate with MSc degree in Electrical or Computer Engineering will be selected and hired as a doctoral student in the VCA Research group of the Signal Processing Systems Department for a 4-year period. The candidate should have strong background knowledge in image/signal processing domain and excellent programming skills with reasonable C/C++ and/or MatLab experience. More specifically, the candidate should have knowledge in object detection and tracking. Experience in behaviour analysis and/or deep learning is highly desired. Candidates should have capabilities in academic writing, should possess good communication skills and should be able to cooperate in a multidisciplinary team.


  • Challenging job in a dynamic and ambitious university (part of Eurotech) and a stimulating internationally renowned research environment;
  • Full-time temporary appointment for 4 years;
  • Gross salary between € 2.222,00 and € 2.840,00;
  • Extensive package of fringe benefits (e.g. excellent technical infrastructure, the possibility of child care and excellent sports facilities);
  • Additionele informatie

  • For more information about the advertised position, please contact: prof.dr.ir. Peter H.N. de With (P.H.N.de.With@tue.nl ) or dr.ir. Egor Bondarev (e.bondarev@tue.nl )
  • For information concerning employment conditions you can contact Mrs. Tanja van Waterschoot (t.a.m.v.waterschoot@tue.nl) .
  • More information on employment conditions can be found here: www.tue.nl/en/university/working-at-tue/working-conditions/.

  • Application

    If interested, please use 'apply now'-button at the top of this page. You should upload the following: a detailed curriculum vitae, a letter of motivation and portfolio with relevant work. Please keep in mind; you can upload only 5 documents up to 2 MB each!
  • a cover letter explaining your motivation and suitability for the position;
  • a detailed Curriculum Vitae (including a list of publications and key achievements in research project(s));
  • contact information of two references;
  • copies of diplomas with course grades;