The Systems Control Group (SCG) of the Luxembourg Centre of Systems Biomedicine (LCSB) has the following vacancy
Postdoc (Research Associate) in Machine Learning, System Identification or Control Systems (m/f)
- Ref.: R-STR-4021-00-B
- Fixed-term contract for 1 year with the possibility of renewal for up to 5 years, 40h/week
- Employee status (start date: as soon as possible)
The SCG specialises in dynamic modelling from time-series data of biological systems by developing methods using tools from theoretical control systems and machine learning. Hence, the group publishes papers on a wide range of journals, from IEEE Transactions on Automatic Control to PNAS and Science. Biological systems are dynamical in nature as molecular species evolve in time in response to internal or external regulations, perturbations or random fluctuations. The group is interested in understanding the complexity inherent to biological systems from a dynamical perspective, typically captured by differential equations or stochastic processes. Theoretically, we develop mathematical tools aimed at efficiently modelling and analysing biological data. Examples are tools to infer causal networks with guaranteed certificates, and systematic engineering control tools for synthetic biology design. Applied, we closely collaborate with experimental biologists to generate mathematical models, which offer new biological insights that can subsequently be tested experimentally, hence closing the loop between experiments and modelling. Examples range from understanding the role of cytoplasmic Ca2+ in plant circadian rhythms to modelling the natural history of Huntington and Parkinson’s disease progression.