Research Scientist in Climate Science

3 hours ago


Stockholm, Stockholm, Sweden MPOWIR Mentoring Physical Oceanography Women to Increase Retention Full time
Job Title: Postdoctoral Fellow in Machine Learning for Applications in Climate Science

MPOWIR Mentoring Physical Oceanography Women to Increase Retention is seeking a highly motivated Postdoctoral Fellow to conduct research in machine learning for applications in climate science. The successful candidate will be able to formulate their own research project using machine learning on topics relevant to climate studies, meteorology, and oceanography.

Key Research Opportunities

The project involves collaboration with experts from the oceanographic community, including Shane Elipot (RSMAS, University of Miami). We encourage prospective applicants to contact the involved scientists prior to applying to discuss potential research projects and collaborations.

Our multidisciplinary collaboration project called SeRC Data Science involves members from four collaborating universities: Stockholm University, the Royal Institute of Technology (KTH), Linköping University, and Karolinska Institutet. This provides opportunities for networking and knowledge sharing with other scientists in the field.

Example Research Project Idea

One example research project idea involves the analysis of data from drifting platforms using machine learning methods to obtain a more complete picture of ocean circulation and variability. This can be achieved by combining data from multiple instruments (moorings, CTD, ARGO) and/or ocean model output (CMEMS, ECCO).

Collaboration and Expertise

Prospective applicants are encouraged to discuss potential research projects and collaborations with the involved scientists before applying. We welcome researchers with expertise in machine learning, oceanography, and related fields to join our team.



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