The project focuses on advancing the understanding and prediction of deep-sea currents by integrating in situ observations, high-resolution numerical simulations, and machine learning approaches. The work has broad applications in oceanography, climate science, marine ecosystems, and sediment transport.
Further details and the full job description are available here: https://www.jgula.fr/profond
Where to apply
E-mail: gula@univ-brest.fr
Requirements
Research Field: Environmental science » Water science
Education Level: PhD or equivalent
Research Field: Mathematics » Applied mathematics
Education Level: PhD or equivalent
Skills/Qualifications
- PhD in physical oceanography, geophysical fluid dynamics, machine learning, computer science, or a related field
- Experience in large-scale oceanographic data analysis and/or numerical ocean modeling
- Strong programming skills (Python and/or Julia)
- Experience with machine learning frameworks (PyTorch and/or JAX)
- Collaborative and interdisciplinary mindset
- Excellent communication skills in English
Languages: ENGLISH
Level: Excellent
Research Field: Mathematics » Applied mathematicsEnvironmental science » Water science
Additional Information
Benefits
Standard Postdoc benefits
Eligibility criteria
Applicants must have spent at least 18 months outside of France between May 1, 2022, and the start of the project.
Selection process
Applicants should submit:
- CV and list of publications
- Cover letter highlighting relevant experience and motivation
- Contact information for 2–3 references
Deadline: Applications will be reviewed until the position is filled.
Website for additional job details: https://www.jgula.fr/profond
