Postdoc Graph Signal Processing in Action (GraSPA)

This project focuses on the non-trivial extension of Graph Signal Processing (GSP) to time-varying or dynamic networks. We propose contributions in two key directions in GSP: extending existing tools for graph topology identification to dynamic graphs and proposing graph filtering approaches with limited storage, data transfer, and computational needs.

Requirements

• PhD degree in an engineering discipline relevant to the research
• Strong background in linear algebra, signal processing, detection and estimation, and optimization
• Background in graph signal processing is desirable
• Experience in programming e.g., Python, MATLAB, R
• Good verbal and written English skills
• Excellent communication and interpersonal skills
• Ability to work in a collaborative environment

Benefits

• An excellent pension scheme via the ABP
• The possibility to compile an individual employment package every year
• Discount with health insurers on supplemental packages
• Flexible working week
• Every year, 232 leave hours (at 38 hours)
• Plenty of opportunities for education, training and courses
• Partially paid parental leave
• Attention for working healthy and energetically with the vitality program