Doctoral Positions in Control, Stochastic Dynamics, and Machine Learning for Synthetic Biology

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 circuits
• Stochastic modeling and analysis of biochemical reaction networks and cellular noise
• Learning-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 dynamics

• The position is suited for candidates with a strong background in applied mathematics, control theory, machine learning, statistical physics, or related disciplines
• Applicants 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 methods
• Prior experience in biology or synthetic biology is welcome but not required
• Candidates with strong mathematical or computational backgrounds and an interest in biological systems are strongly encouraged to apply
• In addition to the technical skills, the candidate is expected to have social and leadership competencies needed for a positive work culture including acting responsibly, nurturing well-being, driving innovation, living inclusivity, building bridges, and enabling people, Research Field Biological sciences

Years of Research Experience 1 - 4

Research Field Biological sciences

Years of Research Experience 1 - 4

Research Field Computer science

Years of Research Experience 1 - 4

• A stimulating, supportive, and international research environment at ETH Zurich
• The opportunity to contribute to cutting-edge research at the interface of control engineering, synthetic biology and medicine
• Access to state-of-the-art facilities and world-class collaborators
• We are actively committed to a sustainable and climate-neutral university
• You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits

Working, teaching and research at ETH ZurichWe value diversity and sustainabilityIn 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:

• Curriculum vitae
• Academic transcripts
• A short statement of motivation and research interests
• Contact information for three references

About ETH ZürichETH Zurich is one of the world's leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.