Ref. No. SU FV-4246-18S
at the Department of Meteorology. Closing date: 21 January 2019.
The Department of Meteorology is the leading department in Sweden for research and education in Meteorology and Physical climate science, including Atmospheric physics, Dynamical meteorology, Physical oceanography and Chemical meteorology. We study processes ranging from the deep ocean to the mesosphere and use tools including theory, statistics, numerical modeling, and measurements from the ground surface and ships, using balloons, aircrafts, rockets and satellites. The department employs over 25 scientists and about 30 PhD students and is part of the Bolin Centre for Climate Research, that together with five other departments at the university supports and promotes interdisciplinary research in climate and Earth system sciences, and is also a partner in the Swedish e-science Research Centre (SeRC), promoting the use of computational tools for scientific discovery.
In this project, the focus is on improving model performance for near-surface parameters in numerical weather prediction and climate models with a special emphasis on the boundary-layer turbulence and its role for the general circulation. Within this general framework, the successful candidate will be able to shape the project, together with the project leader, building on previous work using tailored observational data and modeling tools such as a coupled Atmosphere Ocean Single Column Model (AOSCM) and the corresponding global models OpenIFS/EC-Earth.
Postdoctoral positions are appointed primarily for purposes of research. Applicants are expected to hold a Swedish doctoral degree or an equivalent degree from another country in Meteorology, Oceanography, Climate Science or in a related field.
The degree should have been completed no more than three years before the deadline for applications. An older degree may be acceptable under special circumstances, which may involve sick leave, parental leave, clinical attachment, elected positions in trade unions, or similar.
The assessment is based on previous research experience. Research analyzing model results and/or model development analysis will be an advantage. Doctoral candidates may apply for the position if they expect to receive the PhD degree before the starting date of the position.
The applicant should have excellent knowledge of both oral and written English.
Terms of employment
The position involves full-time employment for one year with likely extension. Start date during winter/spring 2019 as per agreement.
Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.
Further information about the position can be obtained from Prof. Gunilla Svensson, firstname.lastname@example.org.
Ingrid Lander (Saco-S), telephone: +46 708 16 26 64, email@example.com, Lisbeth Häggberg (Fackförbundet ST/Lärarförbundet), telephone: +46 8 16 40 17, firstname.lastname@example.org, and email@example.com (SEKO).
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.
Please include the following information with your application
- Your contact details and personal data
- Your highest degree
- Your language skills
- Contact details for 2–3 references
and, in addition, please include the following documents
- Cover letter
- CV – degrees and other completed courses, work experience and a list of publications
- Research proposal (no more than 3 pages) describing:
– why you are interested in the field/project described in the advertisement
– why and how you wish to complete the project
– what makes you suitable for the project in question
- Copy of PhD diploma
- Letters of recommendation (no more than 3 files)
- Publications in support of your application (no more than 3 files).
The instructions for applicants are available at: Instructions – Applicants.
You are welcome to apply!
Stockholm University – our education and research produce results.
Closing date: 21/01/2019
Post expires on Monday January 21st, 2019