17 computer-algorithm positions at Delft University of Technology (TU Delft) in Netherlands
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
background in Computer Science, Artificial Intelligence, Applied Mathematics or Econometrics, with a clear specialization in algorithms for planning, scheduling and/or supply-chain management. You hold a PhD
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As drones and air taxis enter cities, understanding and
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop human-centred RL algorithms to shape
-
to the research; Good understanding of computer architecture; Basic understanding of MRI algorithms is a plus; Understanding of AI and its practical implementations; The ability to work in a team and take
-
to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics! Job description Bacterial and viral
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research enables drones to perch like birds, using
-
24 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Mathematics » Computational mathematics Physics » Applied physics Physics » Quantum
-
28 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Control engineering Researcher Profile
-
24 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering
-
. Job requirements master's degree in Computer Science strong affinity and experience with any-start-time safe interval path planning algorithms proven experience with rail traffic problems proven