Lancaster University invites applications for a Senior Research Associate to join the MARS project, developing Bayesian machine learning approaches for real-world systems and the IceDice study of West Antarctica's sea level contributions.
You will build ML emulators for the WAVI model, plan informative experiments, and work with BAS and Cambridge modellers to advance probabilistic methods, while publishing in top journals.
#J-18808-LjbffrBayesian ML Scientist for Antarctic Sea-Level Forecasts employer: Technical University of Denmark
The University is an exceptional employer, offering a supportive and collaborative work environment that prioritises employee well-being and professional growth. With the flexibility of hybrid working and generous leave entitlements, including 36 days off, staff are encouraged to maintain a healthy work-life balance while contributing to the academic success of students in the Faculty of History.
Contact Details:
Technical University of Denmark Recruitment Team
