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.  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-sm...@tudelft.nl) for the 
first position, Matthijs Spaan (m.t.j.sp...@tudelft.nl) for the second 
position.

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