Research Fellow in Metabolic Systems Biology
A Research Fellow position in Metabolic Systems Biology is available at the Campus for Research Excellence and Technological Enterprise (CREATE) within a Collaborative Interdisciplinary Research program between the French National Centre for Scientific Research (CNRS) and A*STAR – Singapore Institute of Food and Biotechnology Innovation (SIFBI), and SynCTI NUS in Singapore.
We plan to start in October, depending on the evolution of the coronavirus epidemic.
The successful candidate will be a key member of an ambitious research project at the forefront of the Synthetic Biology field, funded by the National Research Foundation (NRF) within the frame of CNRS@CREATE that associates Toulouse Biotechnology Institute (INSA, CNRS, INRAE) in France and A*STAR-SIFBI, and SynCTI-NUS in Singapore. Within this project, we aim to address knowledge-based bottlenecks along the value chain from Engineering Biology to Industrial Biotechnology. The goal of the program is to provide new and more robust microorganisms better adapted for their target applications for the circular bioeconomy.
The candidate will be working to develop a systems biology platform to integrate quantitative metabolomics and fluxomics data into computational models that will be able to predict targets for optimizing specific metabolic yields using, predominantly of microbial origins, at different scales; from flasks to bioreactors.
The candidate will demonstrate experience in metabolomics and/or fluxomics and/or microbial cultivation and some degree of computational modelling of biological networks. He/she will be a keen team player and will report to a team supervisor, and expected to develop original methods or models to solve scientific challenges faced during novel strain development and optimization.
- PhD in Metabolic System Biology or related fields (Metabolic Engineering, Biochemistry, Computational Biology, Systems Biology)
- Skills in metabolomics and fluxomics
- Fluent in any computer programming languages (Python, C++, Matlab)
- Experience in modelling complex dynamic networks
- Able to work independently and collaboratively with primary supervisor, other project members and collaborators
- Demonstrated record in tackling new areas of research and a passion for innovation
- Good publication record with first authorship
- Fabien Letisse (Fluxomics): firstname.lastname@example.org
- Floriant Bellvert (Quantitative Metabolomics): email@example.com
- Chew Wee (Quantitative Metabolomics): Chew_Wee@sifbi.a-star.edu.sg
- Kumar Selvarajoo (Computational Biology & Modeling): Kumar_Selvarajoo@sifbi.a-star.edu.sg
- Please add CNRS@CREATE in Cc. firstname.lastname@example.org