Postdoc (Research Associate) in Machine Learning, System Identification or Control Systems
The Systems Control Group (SCG) of the Luxembourg Centre of Systems Biomedicine (LCSB) has the following vacancy:
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.
The Systems Control Group seeks a highly skilled Postdoctoral Fellow (Research Associate). The project aims to develop mathematical tools to model continuous-time nonlinear dynamical systems from time-series data. It will also include application of these tools to model real biological data to generate new testable hypothesis. The Postdoctoral Fellow is expected to work together with Ph.D. students both at the LCSB and at the University of Cambridge.
To hold a Ph.D. degree in machine learning, signal processing, control systems, system identification or mathematics. Excellent working knowledge of English.
Full contract for 1 year with the possibility of renewal up to 5 years contingent on performance and availability of funding. A very competitive salary.
Further Information and online application at: http://emea3.mrted.ly/12551
Applications should contain the following documents:
A detailed Curriculum vitae. A motivation letter. Please ask at least three references to email their confidential letters directly to Jorge Goncalves ([email protected]) within two weeks after submitting the application.
Review of applicants will begin immediately and will continue until the position is filled. For further information, please contact Jorge Goncalves ([email protected]).
The University of Luxembourg is an equal opportunity employer. All applications will be treated in the strictest confidence.