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Call Postdoctoral fellow positions

Complete the following questionnaire for - IC2019_AI Postdoctoral Fellowship in Metabolic Modelling  (262 KB)

Topic: Predictive metabolic modelling of microbiomes and human metabolism through Monte Carlo sampling

Applications are invited for a postdoctoral position within the Modelling and Simulation in Life and Materials Sciences group at BCAM. The project “Predictive metabolic modelling of microbiomes and human metabolism through Monte Carlo sampling” is run in collaboration with the Quantitative Metabolic Modeling group at Berkeley National lab (LBNL).

Our goal is to produce a predictive model of microbiome and human metabolism by leveraging high performance computing to efficiently sample the full metabolic phase space. For this purpose, we will use a novel Markov Chain Monte Carlo (MCMC) Bayesian inference (BI) approach enhanced through Deep Learning.
Microbiomes (i.e. microbial communities harboured by human beings) are key players in human health: they can produce obesity, decrease autism symptoms or increase athletic performance. Microbiome engineering could replace medical treatment through external drugs by creating tailored engineered microbiotas. However, this requires the ability to predict microbiome behaviour.

Genome-scale models (GEMS) can provide this predictive power by accounting for all metabolic reactions in an organism genome. We plan to apply novel deep learning methodologies to speed up the traditional Monte Carlo approach used to sample the metabolic space and produce testable predictions.

The postdoctoral candidate will work under the supervision of Ikerbasque Research Professor Elena Akhmatskaya (MSLMS group, BCAM) and Hector Garcia Martin (LBNL, Berkeley)

Deadline: September 13th 2019, 14:00 CET. (UTC+1) .

Applications will be evaluated in a continuous manner, with a response period no longer than 4 weeks after the call deadline.

((required)) Compulsory field.

Call is CLOSED

Eusko Jaurlaritza - Gobierno Vasco ikerbasque - Basque Foundation for Science Bizkaia xede. Bizkaiko Foru Aldundia innobasque - Agencia vasca de la innovación Universidad del Paƌs Vasco (UPV/EHU)