PhD on ocean carbon cycle models using emerging data from new observing devices and platforms

This PhD position is at the crossroads of two disciplines: ocean biogeochemistry and computer science. It contributes to the emergence of Artificial Intelligence in marine sciences.

Host organisation

OceaniX is a dynamic research group on physics-based artificial intelligence for ocean monitoring and surveillance within the Interdisciplinary Blue Planet Graduate School (Isblue) in Brest, France.

The overall objective is to link the model-driven paradigms underlying the physical sciences with the data-driven learning approaches at the heart of AI, in order to derive new computationally and physically efficient representations of complex dynamical systems, which will provide new means for understanding and controlling the oceans and for monitoring maritime activities.

Position description

The candidate will be responsible for:

• design and evaluate methodologies prior to their application to real data;
• the design of Observing System Simulation Experiments (OSSEs);
• the learning-based calibration methodology;
• adapt and extrapolate the methodology to the global ocean using the complete Argo float network, supplemented by satellite data.

Profile and skills

• Research engineer in operational oceanography or equivalent fields;
• Proven experience in modelling and analysis of oceanographic data;
• Mastery of programming software (Fortran, C);
• Mastery of data visualisation software (Python, Matlab);
• Be a team player, well organised, ambitious;
• Excellent written and oral communication skills in English.

Location

OceaniX, Brest, France

Contract type

Full time for 3 years