Doctoral Positions in Control, Stochastic Dynamics, and Machine Learning for Synthetic BiologyThe Control Theory and Systems Biology Laboratory at ETH Zürich (Prof. Mustafa Khammash) invites applications for one or more doctoral positions at the interface of control theory, stochastic dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design.Our research develops mathematical and computational frameworks for understanding and engineering biological feedback systems, including biomolecular controllers, stochastic biochemical reaction networks, and programmable cellular circuits. The successful candidate will contribute to the development of new theoretical and computational methods for the analysis and design of biological dynamical systems. The positions are funded by a European Research Council (ERC) Advanced Grant.The successful candidate will join an interdisciplinary team of theorists and experimentalists working on the analysis and design of programmable biological systems, with applications to cell-based therapies.The candidate will conduct state-of-the-art research on the mathematical modeling, analysis, and design of biomolecular dynamical systems, at the interface of control theory, stochastic dynamics, and machine learning. Possible research directions include:Control-theoretic design and analysis of biomolecular feedback circuitsStochastic modeling and analysis of biochemical reaction networks and cellular noiseLearning-based approaches for the analysis and design of biochemical dynamical systems (including reinforcement learning and generative AI)Integration of machine learning with mechanistic models of biochemical dynamicsProfileThe position is suited for candidates with a strong background in applied mathematics, control theory, machine learning, statistical physics, or related disciplinesApplicants should hold (or expect to receive) a Master’s degree in a relevant field and have strong preparation in dynamical systems, probability, optimization, or computational methodsPrior experience in biology or synthetic biology is welcome but not requiredCandidates with strong mathematical or computational backgrounds and an interest in biological systems are strongly encouraged to applyIn addition to the technical skills, thecandidate is expected to have social and leadership competencies needed for a positive work cultureincluding acting responsibly, nurturing well-being, driving innovation, living inclusivity, building bridges, and enabling peopleWorkplaceWe offerA stimulating, supportive, and international research environment at ETH ZurichThe opportunity to contribute to cutting-edge research at the interface of control engineering, synthetic biology and medicineAccess to state-of-the-art facilities and world-class collaboratorsIn line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future .Curious? So are we.We look forward to receiving your online application with the following documents:Academic transcriptsA short statement of motivation and research interestsContact information forthree referencesPlease note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.Applications received by 30 April 2026 will receive full consideration. The positions will remain open until filled.Start date: Fall 2026 (flexible).Further information about the department can be found on ourwebsite .ETH Zurich is one of the world’s leading universities specialising inscience and technology. We are renowned for our excellent education,cutting-edge fundamental research and direct transfer of new knowledgeinto society. Over 30,000 people from more than 120 countries find ouruniversity to be a place that promotes independent thinking and anenvironment that inspires excellence. Located in the heart of Europe,yet forging connections all over the world, we work together todevelop solutions for the global challenges of today and tomorrow.
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