OPEN JOB POSITION - POST-DOCTORAL SCHOLARSHIP ON MODELING, ANALYSIS, AND INFERENCE OF BIOLOGICAL NETWORKS - USP - SÃO PAULO - BRAZIL

• Knowledge area: Computer Science / Systems Biology
• Project Title: Biological Networks: Modeling, Analysis, and Inference
• Specific area : Systems Biology
• Job start: July 2021
• Supervisor: Ronaldo Fumio Hashimoto
• Institution: University of São Paulo - USP
• Address: Rua do Matão, 1010, Cidade Universitária, São Paulo, Brasil.
• Deadline for application: June, 24th, 2021

• Application e-mail: post.doc.usp.application@gmail.com
• Subject: Application to POST-DOCTORAL SCHOLARSHIP on MODELING, ANALYSIS, AND INFERENCE of BIOLOGICAL NETWORKS

The Institute of Mathematics and Statistics of Universidade de São Paulo (IME-USP), offers a postdoctoral position for scientists interested in working with Systems Biology approach to model and analyze biological phenomena. The project focuses on modeling, analysis, and inference of biological networks to better understand how the interactions of their components (network topology or architecture structure) give rise to the function or behavior of those systems (network dynamics or phenotypes). The postdoctoral fellow will specifically work in modeling biological networks as dynamical systems: topology, stability, robustness, inference, and simulation. Candidates with knowledge in Complex Networks, Boolean Networks and Markov Chain are desirable. The PD researcher will be responsible to propose and implement models for intermediate network representations and analyze them for knowledge discovery. The research will take into account various data sources, such as genomics, transcriptomics, proteomics, metabolomics, and also knowledge found in the literature (e.g., gene interactions in published papers) or in online databases (e.g., KEGG, GO, STRING). Of particular interest is to incorporate machine learning methods to this approach. The candidate is expected to have programming knowledge.

The University of São Paulo is the best ranked University in Latin America, being considered one of country's more prestigious educational institutions. The Data Science Group at IME-USP is a traditional machine learning research working on the field for more than 20 years with strong international collaboration.

The selected candidate will be funded by a FAPESP fellowship with the one of the following conditions:  Initial funding of 16 months (being possibly extended to 24 months based on performance), fellowship R$ 90K per year  (approx. US$ 24K / year PPP) plus overhead for travel expenses  such as attending to conferences.  More information is available at http://www.fapesp.br/en/5427. The grant may also cover expenses for moving to São Paulo/Brasil (including flight tickets).

PhD degree (any field) with background in mathematical modeling and programming for analysis in biology phenomena. Such a previous experience should be demonstrated in the candidate publications.

Excellent oral and written communication skills in English for scientific communication and collaboration.

Please send the following documents

• CV
• Link to ORCID, Google Scholar, or ResearcherID
• Summary of doctoral thesis and other relevant works
• Two recommendation letters from former supervisors or collaborators.

To:

• Application e-mail:  post.doc.usp.application@gmail.com
• Subject: Application to POST-DOCTORAL SCHOLARSHIP ON MODELING, ANALYSIS, AND INFERENCE OF BIOLOGICAL NETWORKS