PHD ON BAYESIAN NETWORKS APPLIED TO GLOBAL EPIDEMIC SPREAD
We seek for a PhD candidate for the PhD program of the Sorbonne Center for Artificial Intelligence (SCAI). The selected candidate will be enrolled in the PhD school Pierre Luis of Public Health to work within a collaboration between the Team ‘Communicable Diseases Surveillance and Modelling’ of the Pierre Louis Institute of Epidemiology and Public Health (INSERM) and the Team ‘Statistics, data and Algorithm’ of the Laboratory of Probability, Statistics and Modelling (CNRS).
In a national and international context of competition in artificial intelligence, SCAI brings together, a strategic range of disciplines of modern artificial intelligence in the heart of Paris. The SCAI PhD doctoral program will support research projects in the field of artificial intelligence in the broadest sense. The doctoral school Pierre Luis of Public Health promotes research in epidemiology and biomedical information science, with focus on fields such as epidemiology of infectious diseases, epidemic modelling and biostatistics, among the others.
We are looking for a strongly motivated person with a passion for computational modeling and machine learning, and a keen interest in multidisciplinary research. The candidate should have a M2 degree (or expect to have it by this fall) in quantitative science, such as statistics, physics, applied mathematics, computer science, epidemiology or any close related discipline. Proven ability to work independently and to quickly adapt to new scientific environments are essential for this position. Good communicative skills to successfully collaborate with the other members of the group, and a good knowledge of both oral and written English are required.
The PhD thesis will focus on open questions in the global spread of epidemics, with influenza and COVID-19 as case studies. Large scale mobility, sociodemographic and epidemiological data will be integrated through Bayesian network techniques. The student will work under the supervision of Chiara Poletto, Maud Thomas and Pierre-Yves Boëlle.
Applications should be submitted via mail to Dr. Chiara Poletto (firstname.lastname@example.org) or Dr. Maud Thomas (email@example.com) by Wednesday May 27, and must include a detailed CV. Applicants will undergo an internal selection. The pre-selected candidate will be then interviewed by the SCAI PhD commission. The interview will take place on Tuesday June 2, 2020. It will be online via zoom and will last 15 minutes (5 minutes presentation and 10 minutes questions).