PhD student in atmospheric science and oceanography with focus on Arctic clouds and machine learning techniques

Updated: 27 days ago
Deadline: 03 Mar 2020

at the Department of Meteorology . Closing date: 3 March 2020.

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 30 are teachers and scientists, 30PhD 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 , where we together with KTH and other universities develop e-Science tools and infrastructure to promote scientific breakthroughs in climate science.

For more information about PhD studies at MISU: www.misu.su.se/education/phd-studies .

Project description
This project will be part of the Marie Curie Innovative Training Network (ITN) iMIRACLI that focuses on combining climate science with machine learning and artificial intelligence methodologies. 

Arctic mixed-phase clouds are crucial for the surface energy balance. They often persist for periods of several days, but the main factors governing their formation, life cycle and dissipation are not well known. Changes in aerosol concentrations are thought to be an important factor driving Arctic cloud dissipation. However, confirming this hypothesis from in-situ observations is difficult as the observations are limited in time and space and cover a limited number of variables. To complement the observations, and to identify causal links between aerosols and Arctic clouds, large-eddy simulation (LES) is often used. However, LES studies also have their limitations; it is often a tedious and inconclusive task to perform sensitivity simulations and a challenge to evaluate the models against the (limited) observations - and thus to verify any hypothesis.

In this project we will tackle the challenges described above by developing a Gaussian Process Emulator of the large eddy simulation model MIMICA. The emulator will be used to perform an efficient sensitivity analysis of an observed cloud dissipation event. Causal links between changes in aerosol properties and cloud dissipation will be studied and a hypothesis will be formed based on the modelling results. Different discovery techniques will also be used to derive information on the type of in-situ observations needed to verify or falsify the formulated hypothesis.

Qualification requirements
In order to meet the general entry requirements, the applicant must have completed a second-cycle degree, completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle, or have otherwise acquired equivalent knowledge in Sweden or elsewhere.

In order to meet the specific entry requirements, the general syllabus for doctoral studies in the field of meteorology stipulates that at least 90 points must be in one of the subjects meteorology, oceanography, physics or chemistry, at least 15 points must be in mathematics, and an independent project work corresponding to at least 15 points must have been completed. The requirements can also be met by acquiring the corresponding knowledge in some other way, in Sweden or abroad.

The qualification requirements must be met by the deadline for applications.

Selection
The selection among the eligible candidates will be based on their capacity to benefit from the training. The following criteria will be used to assess this capacity: the candidates’ documented knowledge in a relevant field of research, written and oral proficiency in both Swedish and English, the capacity for analytical thinking, the ability to collaborate, as well as creativity, initiative, and independence. The assessment will be based on previous experience and grades, the quality of the degree project, references, relevant experience, interviews, and the candidate’s written motivation for seeking the position.

Admission Regulations for Doctoral Studies at Stockholm University are available at: www.su.se/rules and regulations .

Terms of employment
Only a person who will be or has already been admitted to a third-cycle programme may be appointed to a doctoral studentship.

The term of the initial contract may not exceed one year. The employment may be extended for a maximum of two years at a time. However, the total period of employment may not exceed the equivalent of four years of full-time study.

Doctoral students should primarily devote themselves to their own education, but may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

Three years of employment are funded by the EU and Marie Curie ITN. The fourth year is financed through other means.

EU funded Marie-Curie Innovative Training Network projects come with strict conditions: conditions .

Please note that admission decisions cannot be appealed.

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

Contact
For more information about the project, please contact please contact professor Annica Ekman, [email protected] , or professor Ilona Riipinen [email protected] . For information about the PhD program contact the PhD-program director, professor Michael Tjernström, [email protected] .

Union representatives
Ingrid Lander (Saco-S), telephone: +46 708 16 26 64, [email protected] , Alejandra Pizarro Carrasco (Fackförbundet ST/Lärarförbundet), telephone: +46 8 16 34 89, [email protected] , [email protected]  (SEKO), and PhD student representative, [email protected] .

Application
Apply for the PhD student 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 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 motivating your interest for this position
  • CV – degrees and other completed courses, work experience and a list of degree projects/theses
  • Degree certificates and grades confirming that you meet the general and specific entry requirements (no more than 6 files)
  • Letters of recommendation (no more than 6 files)
  • Degree projects/theses (no more than 6 files).

The instructions for applicants are available at: Instructions – Applicants .

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: 03/03/2020

URL to this pagehttps://www.su.se/english/about/working-at-su/phd?rmpage=job&rmjob=11577&rmlang=UK


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