at the Department of Meteorology. Closing date: 25 May 2021.

At the Department of Meteorology (MISU) at Stockholm University we conduct research and education in an international environment within four main areas: Atmospheric physics, Dynamic meteorology, Physical oceanography and Chemical meteorology. In all these areas there is a strong focus on the climate and on processes important for the climate and its development. The department includes some 75 individuals, of which about 35 are teachers and scientists, 25 PhD students and 15 administrative and technical staff. The department is part of the Bolin Centre for Climate Research that, together with other departments at the university covers research of most of the important aspects of the climate system and the Swedish e-Science Research Centre (SeRC), where we together with KTH and other universities develop e-Science tools and infrastructure to promote scientific breakthroughs in climate science.

Project description
The project concerns aerosol-cloud-climate interaction on regional to global scale, and will focus on using machine learning methods to separate the effects of meteorological variability and effects from aerosol, on cloud properties. The goal is to compare a machine learning model trained on meteorological re-analysis and tested on satellite observations, with a model trained and tested on data from a global climate model.

Literature review will also be included, and the work is expected to be summarized in a written report.

The project is funded by the Swedish e-science Research Centre (SeRC), with members from Stockholm University, the Royal Technical University, Linköping University and Karolinska Institutet.

Qualification requirements
The applicant is expected to hold, as a minimum, a BSc degree in physics, meteorology or a closely related subject.

The candidate is expected to be able to work independently, and have good knowledge of the English and Swedish languages. Programming skills are required. Particularly qualifying is experience in machine learning.

The selection among eligible candidates will be based on their capacity to benefit from the training, and their ability to work independently and complete the proposed project.

Terms of employment
The employment is full time for an agreed period of one to two months during the summer of 2021. An extension of no more than three months may be possible (yielding a total of five months’ work). Part time work may also be a possibility. Start date according to agreement.

Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.

Contact 
Further information about the position can be obtained from Associate Professor Frida Bender, telephone: +46 8161082, frida@misu.su.se.

Union representatives
Ingrid Lander (Saco-S), telephone: +46 708 16 26 64, saco@saco.su.se, Alejandra Pizarro Carrasco (Fackförbundet ST/Lärarförbundet), telephone: +46 8 16 34 89, alejandra@st.su.se, and seko@seko.su.se (SEKO).

Application
Apply for the position at Stockholm University's recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.

Only include the cover letter and CV in your application. Bring copies of grades and certificates if you are called to an interview.

The instructions for applicants are available at: How to apply for a position.

You are welcome to apply!

Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth.

Closing date: 25/05/2021