PhD Position in AI-based Multi-camera Data Analysis

PhD Position in AI-based Multi-camera Data Analysis

Published Deadline Location
18 Mar 28 Apr Eindhoven

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Job description

The PhD candidate will work within an international research project ELEVATION in cooperation with industrial partners from Netherlands and Belgium. The general goal of the project is to automate a free viewpoint generation of synthetic video streams from multi-camera setups in the broadcast domain. The PhD candidate will perform research with potential deployment of results in industrial products of Grass Valley and Adimec.

The goal of the PhD candidate is to research and develop AI models for multi-camera data analysis and synthetic video generation. Generation of free viewpoint synthetic video streams for multi-camera broadcast setups will enable a fundamental shift in the viewing paradigm for the viewers, since they can set their own arbitrary viewpoint for watching (e.g., personal camera/channel). To enable this breakthrough, three key challenges must be solved: (a) generation of free viewpoint video frames should run in real-time, (b) the FTV algorithm-cloud mapping should be efficient and scalable to support multiple viewers, (c) the synthetic video should be accurate and photorealistic.


Eindhoven University of Technology (TU/e)


For this project, a candidate with MSc degree in Electrical or Computer Engineering will be selected and hired as a doctoral student in the Signal Processing Systems/VCA group for a 4-years period. The candidate should have background knowledge in image processing, experience in working with 3D (or multi-view) geometry and excellent programming skills. Experience with depth data, point-cloud data processing, NeRF models is highly desired. Knowledge of Deep Learning algorithms is a prerequisite. Candidates should be excellent in academic writing, should have good communication skills and should be able to cooperate in a multidisciplinary team.

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.


  • PhD
  • Engineering
  • max. 38 hours per week
  • University graduate
  • V36.7337


Eindhoven University of Technology (TU/e)

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De Rondom 70, 5612 AP, Eindhoven

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