Postdoctoral Fellow in Machine Learning for Applications in Climate Science, Stockholm University

MPOWIR Mentoring Physical Oceanography Women to Increase Retention; Stockholms kommun; Vor Ort; SEK 334.800 - 558.000; Vollzeit

Zusammenfassung

A leading research institution in Sweden is seeking a Postdoctoral Fellow in Machine Learning for climate science applications. The successful candidate will design a research project in ocean observations and climate studies, collaborating with experts at the Department of Meteorology. This full-time position lasts up to two years with potential for extension, and requires a PhD in a relevant field. Interested applicants are encouraged to connect with involved scientists before applying.

Qualifikationen

• Able to formulate an independent research project using Machine Learning.
• Interest in ocean circulation and ocean observations.
• Experience with Lagrangian observations and uncertainty quantification.

Aufgaben

• Develop a research project using Machine Learning for climate studies.
• Collaborate with scientists from the Department of Meteorology.
• Interact with the multidisciplinary research project SeRC Data Science.

Kenntnisse

Machine Learning

Climate Science

Oceanography

Ausbildung

PhD in relevant field

Jobbeschreibung

The Department of Meteorology (MISU) is offering a position for a Postdoctoral Fellow in Machine Learning for Applications in Climate Science. This is a full-time employment for a maximum of two years, with a possibility of extension.

The successful candidate will be able to formulate their own research project using Machine Learning on applications relevant for climate studies, meteorology and oceanography. The project will be developed in collaboration with involved scientists at the Department of Meteorology: Gunilla Svensson, Frida Bender, Annica Ekman, and Inga Koszalka. Prospective applicants are encouraged to contact the involved scientists prior to applying.

The project is funded by the Swedish e-science Research Centre (SeRC) and the successful candidate is expected to interact with other scientists in a multidisciplinary collaboration project called SeRC Data Science with members from the four collaborating universities: Stockholm University, the Royal Institute of Technology (KTH), Linköping University, and Karolinska Institutet.

Research Project Idea

If you have an interest in ocean circulation and ocean observations, here is a possible research project idea involving oceanography: analysis of data from drifting platforms. Machine learning methods could help to obtain a more complete picture and a deeper understanding of the multiscale ocean variability from Lagrangian observations, especially when combined with data from other instruments (moorings, CTD, ARGO) and/or ocean model output (CMEMS, ECCO). Uncertainty quantification in measurements from multiple instruments is another important aspect.

For more details, see the official job posting.

Equal Employment Opportunity: Stockholm University is an equal opportunity employer.