Postdoc: AI for Climate Downscaling over Antarctica @ KU Leuven

Postdoc: AI for Climate Downscaling over Antarctica @ KU Leuven

Position: Postdoc focusing on physically informed deep learning techniques to downscale regional climate models (RCMs) over Antarctica, improving spatial resolution and physical consistency of key climate variables such as Surface Mass Balance (SMB) and surface melt.

Employer: KU Leuven, Earthmapps research group, ClimaVision project. Location: Leuven, Belgium. Type: Full time, Level: Experienced. Salary: see link https://admin.kuleuven.be/personeel/english/salary/salary_ap.html.

Job Description

Apply for a fully funded postdoctoral position at KU Leuven. This project offers access to cutting‑edge satellite data, high‑performance computing, and collaboration with leading experts in climate modelling and machine learning. The role involves developing and applying super‑resolution methods that integrate remote sensing data and geophysical constraints (elevation, albedo, etc.) into climate downscaling frameworks to enhance climate resilience.

Application Deadline

4 November 2026.

Application Documents

• CV (including Msc grading transcripts) and, if available, link to PhD thesis, published papers, publicly available code (e.g., GitHub).
• Motivation letter, including earliest possible start date.
• References: Names and contact details of two referees (no letters required).

Submit applications no later than 4 November 2025 via https://www.kuleuven.be/personeel/jobsite/jobs/60565099.

For more information, contact: stef.lhermitte@kuleuven.be.