TU Delft (Netherlands) offers two fully-funded PhD positions as part of the EU FET Open project Epistemic AI.

The first PhD candidate will develop novel approaches for combinatorial optimisation under epistemic uncertainty, with an emphasis on constraint programming. The second PhD candidate will develop novel reinforcement learning algorithms that aim for robust and safe behaviour in partially-known environments.

The project goal is to create a new paradigm for next-generation AI providing worst-case guarantees on its predictions thanks to a proper modelling of real-world uncertainties.

Further details and application form: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=1980&jobTitle=PhD%20(2%20positions)%20in%20Optimisation%20and%20Reinforcement%20Learning%20with%20Epistemic%20Uncertainty

Application deadline for full consideration: 28 February 2021

Informal enquiries: Neil Yorke-Smith (n.yorke-smith@tudelft.nl) for the first position, Matthijs Spaan (m.t.j.spaan@tudelft.nl) for the second position.