TU Delft (Netherlands) offers two fully-funded PhD positions as part of the Artificial Intelligence Lab for Biosciences.
The first PhD candidate will develop novel approaches for optimal batch scheduling in plants. The second PhD candidate will develop novel reinforcement learning algorithms for self-driving labs. These PhD positions are part of the Artificial Intelligence Lab for Biosciences, the AI4B.io Lab (www.ai4b.io), that TU Delft and Royal DSM recently established. Additionally, 3 PhD positions on machine learning are available within the lab. It is the first of its kind in Europe to apply artificial intelligence to full- scale biomanufacturing, from microbial strain development to process optimization and scheduling. The AI4B.io Lab is part of the Dutch National Innovation Center for AI (ICAI) and starts with five synergistic research projects. You will contribute to DSM’s challenges regarding developing bio-based products and optimizing industrial-scale biobased processes. You will have access to real industrial R&D and/or factory data, work in an industrial as well as an academic environment, and have the opportunity to develop entrepreneurial skills as the AI4B.io Lab collaborates with the Biotech Campus Delft and Planet b.io; an excellent learning and research environment. Further details and application forms can be found via the following links. Smart plant scheduling: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=2122&jobTitle=PhD%20position%20Digital%20twin%20and%20smart%20plant%20scheduling%20 Reinforcement learning for a self-driving lab: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=2116&jobTitle=PhD%20position%3A%20Reinforcement%20%20learning%20for%20self-driving%20lab%20concepts Application deadline for full consideration: 15 March 2021 Informal enquiries: Mathijs de Weerdt (m.m.dewee...@tudelft.nl) for the first position, Matthijs Spaan (m.t.j.sp...@tudelft.nl) for the second position. _______________________________________________ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
