Lancaster University is seeking a Senior Research Associate for the MARS project at the School of Mathematical Sciences. This role aims to develop probabilistic forecasts of the West Antarctic Ice Sheet's impact on sea level rise, utilizing Bayesian machine learning methods.
The successful candidate will work collaboratively with the British Antarctic Survey and other experts, applying advanced statistical techniques. Candidates should possess a PhD in a relevant discipline and experience in Bayesian modeling and scientific computing.
#J-18808-LjbffrSenior Bayesian ML for Antarctic Sea-Level Forecasts employer: Lancaster University
Lancaster University is an exceptional employer, offering a dynamic and inclusive work environment that prioritises student wellbeing and success. With a strong commitment to professional development, employees benefit from flexible working arrangements and opportunities to lead impactful initiatives in widening participation. Located in the vibrant city of Lancaster, staff enjoy a supportive culture that values diversity and fosters collaboration across disciplines.
