⛔ This position is no longer available.
University: ETH Zurich
Country: Switzerland
Deadline: Not specified
Fields: Control Theory, Stochastic Dynamics, Machine Learning, Synthetic Biology, Applied Mathematics
Are you passionate about advancing the frontiers of synthetic biology through mathematical modeling, control theory, and machine learning? Do you aspire to develop innovative solutions that bridge theoretical research with impactful applications in biotechnology and medicine?
ETH Zurich, one of the world’s leading universities in science and engineering, is offering fully funded doctoral positions in the Control Theory and Systems Biology Laboratory. These positions are at the intersection of control theory, stochastic dynamical systems, machine learning, and synthetic biology, and are ideal for candidates eager to contribute to groundbreaking research in biomolecular circuit design and programmable biological systems.
About the University or Research Institute
ETH Zurich, located in the heart of Switzerland’s vibrant city of Zurich, is globally recognized for its pioneering research, academic excellence, and commitment to innovation. Founded in 1855, ETH Zurich consistently ranks among the top universities worldwide, particularly in engineering, technology, and the natural sciences. The university attracts students and researchers from around the globe, fostering a diverse and dynamic academic environment.
Switzerland itself is renowned for its high quality of life, safety, and international outlook. Zurich, as a hub for research and industry, offers an exceptional living experience, with access to cutting-edge facilities, cultural activities, and beautiful natural surroundings. ETH Zurich’s commitment to sustainability and inclusivity further enhances its appeal, making it a premier destination for aspiring researchers.
Research Topic and Significance
The doctoral positions focus on developing mathematical and computational frameworks to understand and engineer biological feedback systems. Key research areas include the control-theoretic design and analysis of biomolecular feedback circuits, stochastic modeling of biochemical reaction networks, and the integration of machine learning with mechanistic models of biochemical dynamics.
This research is highly relevant in today’s scientific landscape, as synthetic biology and programmable cellular circuits are transforming the fields of biotechnology and medicine. By engineering biological systems with predictable behaviors, researchers can develop novel therapies, improve biomanufacturing processes, and address pressing healthcare challenges. The integration of machine learning and control theory enables the design of robust, adaptive systems, paving the way for next-generation cell-based therapies and smart biomolecular devices.
Project Details
The positions are available within the Control Theory and Systems Biology Laboratory, led by Professor Mustafa Khammash at ETH Zurich. The research is funded by a prestigious European Research Council (ERC) Advanced Grant, ensuring strong support and resources for innovative work.
Successful candidates will join an interdisciplinary team of theorists and experimentalists dedicated to advancing the analysis and design of programmable biological systems. The lab’s research covers a wide spectrum, including:
– Control-theoretic design of biomolecular feedback circuits
– Stochastic modeling and analysis of biochemical reaction networks and cellular noise
– Learning-based approaches, such as reinforcement learning and generative AI, for analyzing and designing biochemical dynamical systems
– Integration of machine learning with mechanistic models to better understand and predict biochemical dynamics
The laboratory offers a stimulating and supportive environment, access to world-class collaborators, and state-of-the-art research facilities. ETH Zurich also provides numerous benefits, such as public transport season tickets, car sharing options, a wide range of sports activities, childcare, and attractive pension benefits.
Candidate Profile
The ideal candidates for these doctoral positions will have:
– A strong background in applied mathematics, control theory, machine learning, statistical physics, or closely related disciplines
– A Master’s degree (or equivalent) in a relevant field, with solid preparation in dynamical systems, probability, optimization, or computational methods
– An interest in biological systems; prior experience in biology or synthetic biology is advantageous but not essential
– Strong mathematical or computational skills, with a passion for interdisciplinary research
– Social and leadership competencies to contribute to a positive and inclusive work culture, including responsibility, well-being, innovation, and collaboration
These positions are particularly suited for individuals who are eager to bridge the gap between theory and application, and who thrive in an environment that values both technical excellence and teamwork.
Application Process
For detailed information about the application process and to apply, please refer to the official job advertisement on the ETH Zurich website:
https://www.jobs.ethz.ch/job/view/11446
Application deadlines are not explicitly specified; interested candidates are encouraged to apply as soon as possible.
Conclusion
This is a unique opportunity to pursue doctoral research at one of the world’s leading universities, in a field that is shaping the future of synthetic biology and biotechnology. If you are motivated to contribute to innovative solutions at the intersection of mathematics, engineering, and biology, consider applying for these positions at ETH Zurich. Stay tuned for similar opportunities and advance your academic career in a world-class research environment.
Questions & Answers
Question: What makes ETH Zurich a top choice for doctoral studies in engineering and science?
ETH Zurich is renowned for its academic excellence, cutting-edge research, international outlook, and strong industry connections. The university offers world-class facilities, a vibrant research community, and extensive support for students.
Question: What are the main research directions available in these doctoral positions?
The positions focus on control-theoretic design of biomolecular circuits, stochastic modeling of biochemical networks, and integrating machine learning with mechanistic models, all with applications in synthetic biology and cell-based therapies.
Question: Is prior experience in biology required for these positions?
While experience in biology or synthetic biology is welcome, it is not required. Candidates with strong mathematical or computational backgrounds and an interest in biological systems are strongly encouraged to apply.
Question: How can I apply for this position?
Please visit the official ETH Zurich job portal for detailed application instructions: https://www.jobs.ethz.ch/job/view/11446
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