PhD Position on Inferring Continuous-Time Reaction Models from Time-Series Data

This PhD position is offered by the Inria Saclay Center within the Lifeware project team, in partnership with the ANR-DFG INCRE project. The successful candidate will focus on inferring continuous-time reaction models from time-series data, developing prototype software based on beam search, and conducting comparative evaluations using biological benchmarks. The role involves co-supervision by François Fages and Sylvain Soliman, alongside international collaboration with the University of Rostock. The expected output includes methodological developments, software prototyping, and scientific publications in top-tier journals and conferences.

• Conduct state-of-the-art research on model learning from temporal data
• Develop the Reactmine-2 prototype software based on beam search algorithms
• Design synthetic benchmarks and perform comparative evaluations of Reactmine-2
• Perform model inference in the presence of unobserved variables and evaluate on real biological data
• Publish findings and communicate research results in scientific journals and conferences