Associate Professor in Image Processing of Environmental Observations – Brest, France – DL 31 Mar 19

Required profiles

For the position in Image Processing of Environmental Observations, you should hold a doctorate. You have a first professional experience (post-doctorate, industrial R&D, etc.) and international experience.

You will be expected to contribute to the teaching on our various courses, more specifically on the common core engineering course and on the Advanced Topics courses on “Sensors & Remote Sensing”, “Data Science” and “Mathematical Computational Engineering’” as well as on associated training with University Master’s (IsBlue, Agrocampus Ouest).

You will conduct research on processing, analysis/interpretation of scenes and multi-sensor synergy for airborne (airplanes, drones, ULM) or satellite imaging for maritime or terrestrial applications. In particular, you will contribute to questions related to the development of methods aimed to identify relevant and essential physical variables using innovative approaches in data processing and analysis, the data being from observation sensors complemented by ancillary sources.

You will contribute to the school’s actions for socio-economic development and internationalisation in its various forms.

In-depth knowledge of areas such as image processing/analysis, machine learning, deep learning, decision making and globally artificial intelligence is expected.

Experience of National or European research project proposal writing and participation is required.

Given our commitment to promoting diversity in the workplace,  in particular within our  Faculty, particular attention will be paid to applications from women, people with disabilities, international candidates and candidates from the entrepreneurship sector.

 

Full announcement at https://www.researchgate.net/job/927683_Associate_Professor_in_Image_Processing_of_Environmental_Observations

 

via IFPRS

Have any opportunity in ocean sciences to share? Send it to lilian.krug_at_nf-pogo-alumni.org