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