Advanced model-based optimization of biomolecular systems.
We are looking for an excellent doctoral student to join us on a project at the interface of multiobjective optimization and synthetic biology. Successful candidates will join the Biomolecular Control Group (homepages.inf.ed.ac.uk/doyarzun/) led by Diego Oyarzún. Our group develops model-based methods and theory applied to biotechnology (goo.gl/f57DUm) and biomedicine (goo.gl/wmqCuU, goo.gl/e4c3LZ). Large parts of our theoretical work are in collaboration with wetlab partners in the UK, Europe and the USA.
The project will focus on multiobjective optimization of cell metabolism and gene regulatory circuits. We will use nonlinear dynamics to study the roles of feedback regulatory architectures found in nature, as well as new architectures that can be built with synthetic biology techniques. We will apply the theoretical results to key challenges in metabolic engineering and use multiobjective optimization methods to find optimal circuit topologies that trade-off various competing objectives.
Ideal candidates should have excellent academic record and passion for quantitative methods in the life sciences and medicine. We seek open-minded and creative students keen to join a multidisciplinary team. You should have excellent mathematical and computational skills, as well as outstanding presentation skills for various audiences. Applicants must hold a First Class or an Upper Second Class degree (or equivalent overseas qualification) in a discipline relevant to the project, such as Control Theory, Applied Mathematics, Computer Science and Physics.
The “Visit Website” button on this page will take you to our Online Application checklist. Please complete each step and download the checklist which will provide a list of funding options and guide you through the application process.
If you would like us to consider you for one of our scholarships you must apply by 5 January 2020 at the latest.
Otero-Muras, Mannan, Banga & Oyarzún (2019), Multiobjective optimization of gene circuits for metabolic engineering, in Proceedings of Foundations of Systems Biology & Engineering.
Oyarzún & Chaves (2019), Dynamics of complex feedback architectures in metabolic pathways. Automatica.
Oyarzún & Stan (2013) Synthetic gene circuits for metabolic control: design trade-offs and constraints. Journal of the Royal Society Interface.
How good is research at University of Edinburgh in Biological Sciences?
FTE Category A staff submitted: 109.70
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