The ideal candidate has excellent algorithmic and programming skills, as demonstrated through projects or programming competitions. Knowledge on formal reasoning, logic, and SAT solving is highly desirable, as well as knowledge on operations research and constraint programming. Candidate lacking skills in one area may make up for it with a strong background in another area. Willingness to contribute to teaching is also important.
The candidate will join the newly formed XAIT Delft AI Lab alongside three other PhD students. The aim of the lab is to develop novel approaches that focus on the explainable aspect of artificial intelligence for transportation and other civil engineering problems and promote AI-related education. The position is for five years. The extra year compared to the usual four-year contract accommodates the 20% additional AI-related education related activities.
The PhD student will be supervised by Dr Emir Demirović and Dr. Gonçalo Correia at TU Delft (The Netherlands).
The deadline for applications is August 21. Interviews will follow shortly after.
For more details, please see the formal ad: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=7687&jobTitle=PhD%20position%20in%20Explainable%20Combinatorial%20Optimisation
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