[Closed] Postdoc Position: Machine learning for time series prediction in environmental science

Profile: PhD in machine learning (computer sciences or applied mathematics)
Duration: 18 months, starting from September 2023; another 18 months postdoc is planned on similar subject after the first one
Affiliation: Computer Science Lab of Université de Tours (LIFAT), Pattern Recognition and Image Analysis Group (RFAI)
Salary: around 2400€/month
Supervisor: Nicolas RAGOT (LIFAT-Tours)

– a strong experience in data analysis and machine learning (theory and practice of deep learning in python) is required
– experiences/knowledge in time series prediction and environmental science is welcome
– curiosity and ability to communicate (in English at least) and work in collaboration with scientists from other fields
– ability to propose and validate new solutions and to publish the results
– autonomy and good organization skills

How to candidate:

Send the following documents by e-mail to nicolas.ragot [at] univ-tours.fr before September 15th: a CV, a motivation letter, a short description of your thesis and experiences in machine/deep learning (including projects you were involved in), references from researchers you worked with.