ACTIVITIES
The recruited person will be in charge of:
• Collaborating with the Coriolis “Big Data” engineer to assemble and format training datasets, and
their diffusion
• Testing and evaluating existing predictive methods (e.g. ensemble of random forests, neural
networks, CNN)
• Developing a new procedure for the prediction of Argo data quality flags, for real time and
delayed mode
• Transfering the procedure to Coriolis and to the European and international partners
• Document and diffuse the results of this procedure (reports, codes, oral presentations)
To carry out these activities, the recruited person will have to acquire basic knowledge of the existing
Argo data flow and quality control methods.
FORMATION/ EXPERIENCE
• Master degree, thesis or diploma from engineering school in data science
• Wished experience : from 0 to 2 years
• Interest for oceanographic science and data
• Programming language : python and possibly matlab
• Ability to read, write and communicate in English
• Rigor and autonomy
EXPECTED STARTING DATE AND DURATION
As soon as possible, 1 year position
Read more at https://drive.google.com/file/d/1qOp3m_TO5QH40D3m2PnegosHZo9QjvMk/view
via IFPRS