Eligibility:
University degree (M.Sc. level) in computer science, biomedical engineering or electronic engineering. – Substantial knowledge of mathematics, statistics and informatics, as well as computer programming (e.g. Matlab, C++, C#, Java) and the Windows operating system. We will provide additional training in software engineering and application development. – You must be willing to move to The Netherlands for the duration of the project. – The successful candidate will be associated with the TU Eindhoven as a Ph.D. student. – You are a citizen of a European Union member state. Marie Curie ITN regulations – The candidate is still within the first four years (full-time equivalent) of his/her career in research (i.e. after completion of university education), at the time of appointment. – The candidate must not have resided or carried out research in The Netherlands for more than 12 months in the 3 years immediately prior to recruitment.
Scholarship Open for International Students: Yes
Scholarship Open for Students of Following Countries: European Union member state
Scholarship Description: The Research Fellow to be employed at Noldus Information Technology will develop multimodal technology for automatic behavior measurement, reasoning and feedback for a variety of application domains. In order to let context-aware systems analyze and automatically respond to user’s behavior, measurement systems are required that recognize the user and interpret his or her behavior. Computer vision techniques use one or more camera views to interpret what happens in the scene without being intrusive. Behavior in daily life, including eating behavior, is a combination of many detailed actions. Analysis of e.g. the position of certain body parts such as head and hands, gaze direction and possibly interactions with other persons or objects indicate what actions are actually performed. The research will involve Bayesian techniques for articulated pose estimation and tracking from a monocular camera or multiple cameras, online action/gesture classification, object detection and identification, and distance measurements with cameras. To increase the robustness and efficiency of the analysis, a multimodal approach will be followed by including other types of sensors (e.g. accelerometers) that measure the actions in a complementary, but supplementary way. The multi-sensor behavior recognition system will feed into a Complex Event Processing (CEP) program, which also receives data from other sources (e.g. databases). The CEP software continuously receives “simple” events from various sources, integrates and/or combines them for complex event recognition, stores them for later retrieval, and triggers real-time feedback and action. The research work will be carried out within the Research & Development department of Noldus Information Technology in Wageningen. Scientific supervision will be provided by Dr. Oliver Amft, Department of Electrical Engineering, Eindhoven University of Technology, where the Research Fellow will be enrolled as a Ph.D. student.
How to Apply: Candidates are invited to send their application, including a letter of motivation, curriculum vitae and the names of two references, as a Word or PDF file, to jobs-at-noldus.nl,
Scholarship Application Deadline: Contact Employer
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