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Postdoc position in data-mining / chemoinformatics (GREYC, University of Caen, France)
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A 12-month post-doctoral position is open for studying computational methods for chemoinformatics.
The position will be held jointly at the GREYC laboratory of the University of Caen (CNRS UMR 6072, France).
Working context:
The position is jointly funded by the Région Basse-Normandie and by the European Regional Development Fund.
The position is included in our larger activity on designing efficient SAR methodologies; the work will be developed thanks to a close collaboration with chemists (Centre d'Études et de Recherche sur le Médicament de Normandie) and with the start-up company, Adn'Tox.
Locations:
- Caen, Normandy, France
Topic:
In chemoinformatics, a SAR model aims at estimating the activity of a chemical (e.g. its toxicity or activity as candidate drug) from its structure.
We design computational methodologies that analyse a set of examples and automatically discover key factors relying the structure of a molecule with its activity.
Even if such a methodology has a broad scope of application fields, in this project, we particularly focus on the study of a specific type of toxicity, the mutagenicity.
The work will therefore be interdisciplinary, integrating topics from chemo-informatics and computer science.
On the computer science side, the work is aimed to design new methodologies that discover associations between objects, modelled as graphs, and their class.
This project has began a year ago and a data-mining methodology has already been obtained.
The current mission will enhance these results by raising the following questions.
How to integrate domain knowledge to such a classification model ? How to supervise a pattern-based decision ?
Profile:
We are looking for a PhD computer scientist with strong knowledge in at least one the following fields: chemoinformatics, data-mining, formal concept analysis, Bayesian inference, combinatorial algorithms, graph algorithms, computational geometry.
Besides a sound experience of programming will be appreciated.
Place, duration and remuneration:
- 12 months contract, starting from September.
- net salary: between 1900 and 2000 Euros per month
How to apply:
Please send your application (PDF format) as soon as possible.
Screening of applications starts immediately and continues until the position is filled.
Send cover letter including names of at least two references, CV and PDFs of PhD dissertation (or draft) and up to three most relevant publications to the following emails:
Bertrand Cuissart +33 2 31 56 73 72 Bertrand.Cuissart@unicaen.fr
Bruno Crémilleux +33 2 31 56 74 35 Bruno.Cremilleux@unicaen.fr
/***************************************************************************************/
A 12-month post-doctoral position is open for studying computational methods for chemoinformatics.
The position will be held jointly at the GREYC laboratory of the University of Caen (CNRS UMR 6072, France).
Working context:
The position is jointly funded by the Région Basse-Normandie and by the European Regional Development Fund.
The position is included in our larger activity on designing efficient SAR methodologies; the work will be developed thanks to a close collaboration with chemists (Centre d'Études et de Recherche sur le Médicament de Normandie) and with the start-up company, Adn'Tox.
Locations:
- Caen, Normandy, France
Topic:
In chemoinformatics, a SAR model aims at estimating the activity of a chemical (e.g. its toxicity or activity as candidate drug) from its structure.
We design computational methodologies that analyse a set of examples and automatically discover key factors relying the structure of a molecule with its activity.
Even if such a methodology has a broad scope of application fields, in this project, we particularly focus on the study of a specific type of toxicity, the mutagenicity.
The work will therefore be interdisciplinary, integrating topics from chemo-informatics and computer science.
On the computer science side, the work is aimed to design new methodologies that discover associations between objects, modelled as graphs, and their class.
This project has began a year ago and a data-mining methodology has already been obtained.
The current mission will enhance these results by raising the following questions.
How to integrate domain knowledge to such a classification model ? How to supervise a pattern-based decision ?
Profile:
We are looking for a PhD computer scientist with strong knowledge in at least one the following fields: chemoinformatics, data-mining, formal concept analysis, Bayesian inference, combinatorial algorithms, graph algorithms, computational geometry.
Besides a sound experience of programming will be appreciated.
Place, duration and remuneration:
- 12 months contract, starting from September.
- net salary: between 1900 and 2000 Euros per month
How to apply:
Please send your application (PDF format) as soon as possible.
Screening of applications starts immediately and continues until the position is filled.
Send cover letter including names of at least two references, CV and PDFs of PhD dissertation (or draft) and up to three most relevant publications to the following emails:
Bertrand Cuissart +33 2 31 56 73 72 Bertrand.Cuissart@unicaen.fr
Bruno Crémilleux +33 2 31 56 74 35 Bruno.Cremilleux@unicaen.fr
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