[Closed] Internship R&D Master 2: time series prediction and computer aided system for vineyards climate adaptation
Place: Computer Science Lab of Université de Tours (LIFAT), Pattern Recognition and Image Analysis Team (RFAI)
Duration: 4 to 6 months, from March 2020
Indemnity: according to French legislation (around 570€/month)
Mission: Integration of climate change for vineyards
Time series prediction from muti-source data; Machine learning; Decision making guided system; Web developement
Full description (in French: http://www.rfai.lifat.univ-tours.fr/wp-admin/post.php?post=2044 )
Profil: Academic level Master 2 (or M1 depending on skills)
- Data analysis and visualization, Machine Learning for time series prediction (Pytorch ou Tensorflow)
- Web technologies: Spring, Java, Javascript, AMCharts
- GitLab
- Personal skills: fluent in English or French, curiosity, pro-active, autonomy, ability to do reporting
Deadline of application: 31/01/2020
Contact: nicolas.ragot [at] univ-tours.fr