[CPM-SPIRE-L] postdocs at the Institute for Computational Biology

[Rivals Eric]

Five young investigator positions at the Institute for Computational 
Biology of Montpellier (France)

The Institute for Computational Biology (IBC) will hire five young 
investigators for each of the five work-packages, typically with a PhD 
plus 3-year post-doc and solid experience in international research, a 
high level of publishing, strong communication abilities, and a taste 
for multidisciplinary research. Working full-time at IBC, these young 
researchers will play a key role in Institute life. They will actively 
participate in receiving foreign researchers and organizing seminars and 
events (schools, conferences...). They will help coordinate work within 
the work-packages and will be at the forefront of producing 
deliverables. In exchange, these young researchers will benefit from an 
exceptional environment thanks to the presence of numerous leading 
international researchers, not to mention significant autonomy for their 
work. These positions are open for up to 4 years, with a net monthly 
salary of 2,350 Euros/month, which is approximately 300 Euros more than 
a standard post-doc salary in France, and clearly enough to live in the 
Montpellier area.

For more information and to apply: http://www.ibc-montpellier.fr/

Deadline: June 15, 2013

Details for each work-package:

WP1: Algorithms for deep sequencing analysis

This project aims first at conceiving and developing new algorithms for 
analyzing millions of sequences and involving complex techniques in text 
indexation, compression and algorithmics on classical or high 
performance computing architectures. These novel algorithms form the 
core of bioinformatics programs that will help investigating the 
transcriptome complexity. In the framework of a large cancer genomics 
project, we will exploit these programs to analyze over 100 tumoral 
genomes and transcriptomes as well as their normal counterparts. The 
candidate will participate in either of two aspects: (1) practical 
algorithms and indexing data structures for NGS processing; (2) 
bioanalysis of cancer genomes and transcriptomes.

WP2: Evolution

Our research involves evolutionary analyses of large-scale genomic data, 
at the interface between phylogeny and population genetics. The 
candidate will develop research on some of the following topics: 
inference of very large phylogenies, reconciliation of gene/species 
trees at a genomic scale, detection of selection, inference of 
population divergence, dating and migration studies, simulation-based 
inference. Application domains will be quite open, with emphasis on 
virus evolution and plant genomes. We are seeking a candidate with a 
strong background in mathematical and computational evolutionary 
biology, with interest in applications and software development.

WP3: Annotation

We are seeking for a high level computer scientist with strong 
experience in bioinformatics; knowledge in 3D protein structures and/or 
statistical learning is a plus. The candidate will contribute to the 
development and integration of bioinformatics tools for an 
interdisciplinary project dealing with structural and/or functional 
annotations of pathogen proteomes. The successful candidate will have 
good knowledge in one or several of the following topics: statistical 
learning, hidden Markov models, pattern matching, 3D and geometry 
algorithmics, protein domains, unstructured regions, tandem repeats, 
gene ontology

WP4: Imaging

Our research involves Integration of 4D imaging data with functional 
genomics in plant and animal developmental biology. The candidate will 
contribute to the development of a software platform for image analysis. 
Two main directions are proposed: storage, annotation and handling of 
volumetric images obtained by confocal or light-sheet laser microscopy 
and development of a concept of 4D atlases, whereby cellular (e. g. 
geometry, mechanics) and molecular (e. g. gene expression) parameters 
can be projected onto "average" organ geometries. The final aim is to 
provide novel solutions to explore the genotype to phenotype 
relationships. Candidates will have a strong background in computer 
science and analysis of volumetric and segmented images.

WP5: Databases

We are seeking for a candidate with strong experience in distributed 
data management, in particular data integration, a good grasp on 
implementation aspects and interest for biology applications. The 
candidate will participate in the design and implementation of a data 
framework for plant genomics.

-- 
Eric RIVALS (PhD) - rivals at lirmm.fr - www.lirmm.fr/~rivals
CNRS Research Director & Head of GDR Bioinformatique Moléculaire
LIRMM - UMR 5506 - CC 06 001
95 Rue de la Galéra - 34095 Montpellier cedex 5 FRANCE
Tel. (33 or 0 from France) 4 67 41 86 64
Fax. (33 or 0 from France) 4 67 41 85 00
http://www.gdr-bim.u-psud.fr


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