PhD position in climate data analysis and machine learning emulation of hydrological models at University of Bergen (UiB) (Norway) 36-month position
🔥 𝗧𝗼𝗽𝗶𝗰 The PhD will be part of the Bjerknes strategic project DYNAMIC-AI. DYNAMIC-AI will integrate physical modelling, dynamical understanding, machine learning, and hydrological modelling into a unified framework for analysing unprecedented and compound extremes. The project analyses wildfires, drought, heatwaves, strong wind, extreme precipitation and flooding.
💵 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀
593.700 NOK (about 55.000€) gross salary (further increases in salary are made according to length of service in the position)
Enrolment in the Norwegian Public Service Pension Fund
Welfare benefits reported here https://lnkd.in/ei_ppfXr
👩🎓 𝗦𝗸𝗶𝗹𝗹𝘀
Master’s degree or equivalent in computer science, atmospheric sciences, meteorology, hydrology, or a related field
Experience with Python programming, the ability to work comfortably in the Unix/Linux environment, and handling large climate datasets in their native formats (e.g., NetCDF)
Experience with at least one of hydrological modelling, land surface processes, climate data analysis, training neural networks
Hability to work independently and in a structured manner and demonstrate good collaborative skills; Good English skills, written and oral.
Experience with machine learning tools such as PyTorch is an advantage
Understanding and/or experience in studying extreme events is an advantage
Experience with statistics, uncertainty quantification or uncertainty propagation is an advantage
Familiarity with other relevant programming languages is an advantage
📌 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲 30 September 2026
ℹ️ 𝗠𝗼𝗿𝗲 𝗶𝗻𝗳𝗼 https://lnkd.in/ehUDddac
📢 𝗚𝗲𝘁 𝘂𝗽𝗱𝗮𝘁𝗲𝗱! More job posting, calendar of funding and grants, tip&tricks and webinars for early stage scientists ... register here https://lnkd.in/gjR-Rwhp
