Publisher
source

Stockholm University

PhD in Atmospheric Sciences and Oceanography: Machine Learning Methods in Climate Modelling Stockholm University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Fixed-term employment as a doctoral student for up to four years full-time. The position is a temporary, full-time employment with fixed salary; it may include up to 20% teaching, research, or administration.

Deadline

Nov 3, 2026

Country flag

Country

Sweden

University

Stockholm University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Data Science
Environmental Science
Mathematics
Atmospheric Science
Earth Science
Oceanography
Cloud Physics
Turbulence
Statistics
Physics
ML

Suggested positions

About this position

Stockholm University’s Department of Meteorology (MISU) is advertising a PhD student position in Atmospheric Sciences and Oceanography with a focus on machine learning methods in climate modelling.

The project addresses how to improve climate model accuracy, efficiency, and generalizability by using ML models trained on observational data and high-resolution simulations. Research topics include cloud formation, turbulence, aerosol-cloud interaction, sub-grid scale parameterizations, coupling data-driven models to a large-scale climate model, and evaluating ML-enhanced simulations against observations and traditional parameterizations.

The successful candidate will work in a highly international environment at Stockholm University, in collaboration with the Swedish e-Science Research Centre and within a broader climate research ecosystem that includes the Bolin Centre for Climate Research and the Baltic Sea Centre.

Eligibility highlights: a second-cycle degree or equivalent; at least 240 higher education credits with 60 at second-cycle level; at least 90 credits in meteorology, oceanography, physics or chemistry; at least 15 credits in mathematics; a degree project of at least 15 credits; and English proficiency equivalent to English B. Selection also considers subject knowledge, analytical ability, creativity, initiative, independence, teamwork, and communication skills.

Funding/employment: fixed-term doctoral employment for up to four years full-time, with a fixed salary. The role may include up to 20% teaching, research, or administration.

Application: apply through Stockholm University’s recruitment system and submit a personal letter, CV, and all requested attachments before the deadline.

Deadline: 3 November 2026.

Funding details

Fixed-term employment as a doctoral student for up to four years full-time. The position is a temporary, full-time employment with fixed salary; it may include up to 20% teaching, research, or administration.

What's required

Applicants must meet general doctoral entry requirements: a second-cycle degree, or at least 240 higher education credits with 60 credits at second-cycle level, or equivalent knowledge. Specific requirements include at least 90 higher education credits in meteorology, oceanography, physics or chemistry; at least 15 higher education credits in mathematics; a degree project of at least 15 higher education credits; at least 60 credits of the qualifying courses at second-cycle level; and English proficiency equivalent to English B in Swedish high school. Selection is based on ability to benefit from the training, subject knowledge relevant to the project, oral and written communication, English proficiency, analytical ability, creativity, initiative, independence, and teamwork.

How to apply

Apply through Stockholm University's recruitment system. Attach a personal letter, CV, and all requested attachments in the application form. Submit the complete application before the deadline.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?