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Friday, 05 April 2013 15:32

We are offering a 14 months post-doctoral position,

starting on September the 1rst 2016.

 

"Search for common ‘genetic goods’ in gene families and microbial communities"

 

The theory of ‘genetic public goods’ recently postulated that genetic sequences can be exploited in various combinations, even by distantly related or unrelated evolving entities, i.e. microbial communities benefiting from the sharing of genes between their members, such as photosynthesis genes between cyanophages and cyanobacteria, or such as drug resistance genes within multispecies biofilm. Yet, the nature, size and diversity of microbial communities sharing such ‘genetic goods’ remain poorly known. Moreover, the rules of gene sharing also remain to be described.


A wealth of molecular data from metagenomic, single cell metagenomic, and microbial genomes projects is now available to tackle these fundamental issues. Furthermore, sequence similarity networks offer a promising complementary niche to phylogenetic methods to exploit the complexity of these data. These graphs allow for mathematical analyses of genetic diversity and similarities over dozens of millions of sequences, providing novel ways to detect ‘clubs’ of genomes, which have not necessarily evolved from a single last common ancestor yet exploit some common genetic material. Likewise, these networks allows for the detection of some ‘sets’ of gene families that exploit common pools of genetic fragments/domains.


To further develop the detection strategies of genetic public goods, our lab is now looking for a post-doctoral fellow in bio-informatics, who will be funded for up to three years by an ERC grant (for an approximate salary of 2197 euros/ month after taxes, i.e. 57 350€ before taxes for the entire post-doc).

The candidate will take advantage of graph properties and algorithms from the graph theory:


-1) to improve the identification of ‘clubs’ of genomes /‘sets’ of gene and their pool of genetic goods in complex networks with a few millions nodes and dozens of millions of edges;


- 2) to analyze domains combinations in genes and gene sharing in communities, using bipartite graphs;


-3) He/she will then analyze the functions of these ‘genetic goods’ and their distribution across genes and genomes to test what lifestyles favors their sharing.


The candidate will work within a consortium of friendly bioinformaticians (Philippe Lopez, Eduardo Corel), evolutionary biologists (Eric Bapteste), and graph theorists (Michel Habib, Laurent Viennot), and be hosted in the University Pierre and Marie Curie in the center of Paris, France.

Ideally, the candidate should have a strong interest for evolutionary biology, microbial evolution and a good background in bio-informatics, or graph theory. The position will start by September 2016, but interested candidates are invited to apply immediately.

He/she should be early in his/her carreer (i.e. holding a PhD degree for less than 2 years).


Applicants are requested to send a detailed resume, a motivation letter, a pdf copy of their PhD thesis, and the names of two scientific referees to :
This e-mail address is being protected from spambots. You need JavaScript enabled to view it

The first round of applications will be closed June 1rst, 2016.

Last Updated on Monday, 02 January 2017 13:21