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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
mathematical aspects; Adequate programming skills and willingness to apply machine learning where required; Optionally, previous experience contributing to open-source scientific software. Terms of employment
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prediction to systems that reason, plan, interact and act in the physical world. This PhD addresses efficient long-horizon task execution in Physical AI—complex tasks needing sequences of decisions, subgoals
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, engineering, mathematics, physics or related field; strong programming skills; interest in ML, computer vision, robotics, embodied AI or autonomous systems; motivation for independent research and high-quality
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