New Research position at INRAE
The candidate will work as part of the INTERREG Alpine space DiMark project. His/her main tasks will be to develop a model to improve our knowledge on the development of cyanobacterial blooms, identify the environmental conditions associated with these blooms and propose a predictive tool.
The work will begin with the compilation and standardization of time-series from the DiMark project lakes. The next step will be to analyse the data by using traditional and innovative methods based on machine learning.
Qualifications
– PhD in a field involving limnology, oceanography, applied math or similar
– Demonstrated data analysis skills, especially in machine learning (using R, MatLab and/or Python)
– Knowledge of the ecology of phytoplankton is highly desirable
– Good written and oral communications skills in English
Deadline to apply : 30 April 2025
More information at Poste Post-Doc WP2-DiMark_2025_EN