University of Liege
6 days ago
Postdoctoral Researcher in Data Assimilation and Deep Learning at GHER, University of Liège University of Liège in Belgium
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Oct 30, 2026
Country
Belgium
University
University of Liege

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About this position
Postdoctoral research opportunity at the GeoHydrodynamics and Environment Research group (GHER), University of Liège, Belgium.
This position is for a project scientist / post-doc within the Department of Astrophysics, Geophysics and Oceanography at the University of Liège. The successful candidate will join the GHER team and contribute to the EU Horizon Europe project COMEDI, which brings together 11 leading partners working at the intersection of data assimilation and deep learning.
The research focus is on developing and adapting assimilation schemes based on generative deep learning methods, including flow matching and diffusion models. The role is well suited to candidates with interests in geosciences, oceanography, atmospheric science, and computational methods for environmental and Earth system applications.
Applicants should have a PhD in physical oceanography, atmospheric sciences, computer vision, engineering, or a related field. Prior experience in data assimilation and/or deep learning is expected, along with strong scientific programming skills in Julia, Python, Fortran, or C/C++. Good English communication skills are required for international collaboration.
The contract duration is 3 years, with a tentative start date of 1 January 2027. The position is full-time and temporary, and it is explicitly linked to a scientific mobility programme: applicants must not have lived or carried out their main activity in Belgium for more than 24 months during the three years before the start date, excluding short stays such as vacations or conference travel.
Applications are reviewed on an ongoing basis until the position is filled. Shortlisted candidates will be contacted by email. The application dossier should include a full CV with peer-reviewed publications and DOIs, a PDF of the most significant publication selected by the applicant, and a motivation letter of no more than one page written in the applicant’s own words.
For more information about the research group, visit the GHER website. To apply, email the dossier to Alexander Barth at [email protected].
Funding details
Available
What's required
Applicants must hold a PhD or equivalent in physical oceanography, atmospheric sciences, computer vision, engineering, or a related discipline. Previous experience in data assimilation and/or deep learning is expected, together with a strong background in scientific programming in languages such as Julia, Python, Fortran, or C/C++. Good English communication skills (oral and written) are required. The position is subject to a mobility rule: candidates must not have resided or carried out their main activity in Belgium for more than 24 months during the three years immediately preceding the contract start date.
How to apply
Send the application dossier by email to Alexander Barth at [email protected]. Include a full CV with peer-reviewed publications and DOIs, a PDF of your most significant publication, and a motivation letter of maximum one page written in your own words. Applications are reviewed continuously until the post is filled.
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