Job type Post Doc

Duration 1 year

Status Open

Start date 01-Sep-2018


The current regulation on chemical substances makes it necessary to consider toxicological risks more widely in energy materials and they are gradually becoming a selection criterion for formulations.
The project concerns the development of a tool for rational molecular design and toxicological evaluation of energy molecules.
The postdoctoral position will be structured in different steps:
- From raw formulas of compounds, thousands of 3D structures will be generated and filtered according to constraints.
- The first prediction filters will be dedicated to toxicology and eco-toxicology will be developed in the laboratory using QSAR techniques or machine learning algorithms.
- The development of new filters will be explored in order to design new pharmacophoretic approaches.
- The work will be done at high throughput to be as exhaustive as possible and will require the scripting of different programs.

Required profile

The candidate will have completed his or her doctoral thesis in the field of bioinformatics or chemo-informatics and will have skills in algorithmic and development. Experience in the field of statistics, QSAR, or machine learning will be appreciated.
The successful candidate will be hire by the CNES and the salary will be determined in function of the CNES grid. The position is in Lyon, France.