Contract type: Public service fixed-term contract
Renewable contract: Oui
Level of qualifications required: PhD or equivalent
Function: Post-Doctoral Research Visit
The Inria Sophia Antipolis - Méditerranée center counts 37 research teams and 9 support departments. The center's staff (about 600 people including 400 Inria employees) is composed of scientists of different nationalities (250 foreigners of 50 nationalities), engineers, technicians and administrators. 1/3 of the staff are civil servants, the others are contractual. The majority of the research teams at the center are located in Sophia Antipolis and Nice in the Alpes-Maritimes. Six teams are based in Montpellier and a team is hosted by the computer science department of the University of Bologna in Italy. The Center is a member of the University and Institution Community (ComUE) "Université Côte d'Azur (UCA)".
The study of genetic regulatory networks has taken a qualitative leap through the use of modern genomic techniques that allow simultaneous measurement of the expression levels of all genes of an organism. In addition to high-throughput experimental methods, approaches in mathematics and computer science will be indispensable for analyzing the dynamics of genetic regulatory networks. BIOCORE team applies mathematical and computational methods from Control Theory and Dynamical Systems to the study of models of genetic networks and more general biological networks (metabolic networks, signaling networks...).
Within the framework of the IPL COSY (real time COntrol of SYnthetic microbial communities), see https://project.inria.fr/iplcosy/, the general aim is to exploit complex microbial communities into a micro-bioreactor system to optimize a specific objective via real-time control.
A mathematical model, consisting of a system of nonlinear ordinary differential equations, has been written for the analysis and control of two synthetic communities of Escherichia coli bacteria (producer and cleaner) in a continuous bioreactor.
The first task is to study this dynamical model, the stability of equilibria, the possible bifurcations, and in particular the possibility of coexistence of the two populations.
The second task will be to control the system (several controls are possible), in particular the composition of the community, and to optimize an objective like the maximization of the production of a molecule of interest.
The above analysis will also be carried out for fed-batch cultures in a fermenter (bioreactor), the condition most relevant for industrial biotechnological processes.
The work is done in collaboration with IBIS Inria Team (Grenoble) within the IPL Cosy project
Milias-Argeitis et al. (2016). Automated optogenetic feedback control for precise and robust regulation of gene expression and cell growth. Nat Commun, 7(12546).
Yegorov, I., Mairet, F., de Jong, H. et al. . Optimal control of bacterial growth for the maximization of metabolite production. J. Math. Biol. (2018) https://doi.org/10.1007/s00285-018-1299-6, in press
H.de Jong, S.Casagranda, N.Giordano, E.Cinquemani, D.Ropers, J.Geiselmann, J.-L.Gouzé, “Mathematical modelling of microbes: Metabolism, gene expression and growth”. Journal of the Royal Society Interface, 14:20170502, 2017
Web page of JL Gouze: http://www-sop.inria.fr/members/Jean-Luc.Gouze/JLGouze-eng.html
Web page of M. Chaves: http://www-sop.inria.fr/members/Madalena.Chaves
see also IBIS web page: https://team.inria.fr/ibis/
and IPL CoSy webpage: https://project.inria.fr/iplcosy/
Salary: 2650 € brut mensuel
We are looking for an applied mathematician with a background in the analysis of dynamical systems, and familiar with control theory. In addition, we expect a strong motivation to work on biological applications in genomics.
Inria, the French national research institute for the digital sciences, promotes scientific excellence and technology transfer to maximise its impact. It employs 2,400 people. Its 200 agile project teams, generally with academic partners, involve more than 3,000 scientists in meeting the challenges of computer science and mathematics, often at the interface of other disciplines. Inria works with many companies and has assisted in the creation of over 160 startups. It strives to meet the challenges of the digital transformation of science, society and the economy.
Defence Security :
This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.
Recruitment Policy :
As part of its diversity policy, all Inria positions are accessible to people with disabilities.
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