A full professor position is open at the Laboratory for Computational and Quantitative Biology (LCQB), Institut de Biologie Paris Seine (IBPS), Sorbonne University (SU) with a starting date from September 2022.

Biology and medicine are overwhelmed by the production of massive amounts of omics (genomics, metagenomics, proteomics, metabolomics), imaging and structural data. These data are often heterogeneous and noisy, and specific questions in biological sciences call for the original combination of artificial intelligence (AI) and data-scientific methods with integrative approaches. Important examples are found across all life sciences, a non-exhaustive list includes:

1. Understanding the evolution of genomes, their functional organization and expression.

2. Understanding the genetics of complex diseases through genomic data (SNPs, transcriptomes, epigenetic modifications, genetic interactions, immunological repertoires, etc.) associated with a large number of patients and controls.

3. Ecology with massive sequencing (metagenomics, metatranscriptomics, etc.) of entire ecological populations (oceans, soils, human intestine, etc.) and inference of the composition of a population in terms of species, symbiotic interactions, competition between species, community functions.

4. Synthetic biology with its massive amounts of high-throughput data.

5. Evolutionary protein analysis for a reliable functional annotation of biomolecules

The professor will create a new research team on one or more of the following themes: machine learning, deep learning and AI; methods, algorithms and probabilistic models applied to the analysis of multi-omic data; data science applied to biology; modeling of complex biological systems; models and methods for evolutionary genomics, population genomics and statistical genetics; methods for integrative multi-omics; data science analysis methods. (S)he is expected to develop and apply such advanced modeling and analysis methods towards a deeper, data-driven understanding of complex biological or biomedical processes, and thereby to reinforce and complement the research fields present in the lab. The professor should be able to coordinate national and international collaborative programs. (S)he will have the opportunity to participate in the activities of several interdisciplinary institutes and initiatives of Sorbonne University, such as i-Bio (Initiative for Interdisciplinarity in Biology), SCAI (Sorbonne Center for Artificial Intelligence), and ISCD (Institute of Computing and Data Sciences). (S)he should be open to collaborations with experimental biologists. The candidate's past or/and current participation in multidisciplinary projects with biologists will be appreciated.

More information here.