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. Professorship in Pathogen Evolution (ETH Zurich and Eawag) is seeking a highly motivated PhD Candidate to study drug resistance evolution in various pathogens through population genetic modelling and
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, develop methods to speed up this development by focusing on machine learning techniques to address sustainability challenges in chemistry research. We will explore novel pathways to process design and
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on expertise and cutting edge-infrastructures like the Immersive Design Lab at ETH, and Ambisonic and Wave Field Synthesis arrays at the ICST. Job description We offer two PhD positions for developing design
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novel methods at the intersection of advanced control, optimization, manufacturing science, and machine learning, to create the next generation of sustainable automation solutions for modern manufacturing