A 12-month post-doctoral position is open for studying computational
methods for chemoinformatics.
The position will be held at the GREYC laboratory of the University of
Caen (CNRS UMR 6072, France).
Working context:
The position is funded thanks to a collaboration with a major
pharmaceutical company.
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).
Locations:
- Caen, Normandy, France
Topic:
In chemoinformatics, a SAR model aims at estimating the activity of a
chemical (e.g. its toxicity or its activity as a 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.
The work will therefore be interdisciplinary, integrating topics from
chemoinformatics and computer science.
The mission is particularly focused on graph patterns for chemoinformatics.
As molecules are modelled by graphs, a graph pattern corresponds to a
descriptive feature of a molecule.
A graph pattern may be considered as related to a chemical activity, on
the basis of their correlation noted in dataset.
In order to found computational tools on graph patterns, there is a need
of a methodology that assess how reliable is the relation between a
graph pattern and a given activity.
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 October/November.
- 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:
Alban Lepailleur +33 2 31 56 73 72 [email protected]
Bertrand Cuissart +33 2 31 56 73 72 [email protected]
--
Bertrand Cuissart
IUT de Caen
GREYC - CNRS UMR 6072 - Universite de Caen
Campus Cote de Nacre, F-14032 Caen Cedex
tel Caen : +33 (0)2.31.56.73.72 - Fax: +33 (0)2.31.56.73.30
tel Lisieux : +33 (0)2.31.56.44.16
courriel : [email protected]
www : http://www.info.unicaen.fr/~cuissart/
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