Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 54,000 students, more than 7,500 employees and a turnover of around SEK 8 billion.
The Department of Information Technologyholds a leading position in both research and education at all levels. We are currently Uppsala University's third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the department of Information Technology website.
Read more about our benefits and what it is like to work at Uppsala University
As a PhD student in this project you will be able to focus on multiscale problems with applications in quantum physics. We are interested in simulating Bose-Einstein condensates which are formed when a gas of Bosons is cooled to ultralow temperatures. Bose-Einstein condensates are of great interest when studying quantum effects such as superfluidity and the closely related phenomena of superconductivity.
Multiscale problems are encountered in many different applications. For instance, when physical behavior like heat diffusion is modeled in a composite material. Typical for these problems is the rapid variation in the material properties throughout the domain, which results in partial differential equations with rough and discontinuous coefficients. It is well known that classical finite element methods does not perform very well for these kind of problems. To overcome this issue there exist a range of different methods, one of them is Localized Orthogonal Decomposition. This method focuses on enhancing the classical finite elements by using data from the problem.
There is a possibility to influence your work depending on your interests. The work can focus on machine learning, classical numerical analysis, or be more programming oriented.
To meet the entry requirements for doctoral studies, you must
- hold a Master’s (second-cycle) degree in scientific computing, applied mathematics, or equivalent, or
- have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
- have acquired substantially equivalent knowledge in some other way.
The applicant should be able to both work independently and to collaborate with others in a group. Excellent knowledge in English, both spoken and written, is a requirement.
Prior knowledge in finite element methods is an advantage. Advanced programming skills is also desirable.
Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines .
About the employment
The employment is atemporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %.Starting date as agreed. Placement: Uppsala.
For further information about the position, please contact: Anna Persson, email@example.com
Please submit your application by 11 August 2023, UFV-PA 2023/1990.
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Please do not send offers of recruitment or advertising services.
Submit your application through Uppsala University's recruitment system.
Placement: Department of Information Technology
Type of employment: Full time , Temporary position
Pay: Fixed salary
Number of positions: 1
Working hours: 100 %
County: Uppsala län
Seko Universitetsklubben firstname.lastname@example.org
Number of reference: UFV-PA 2023/1990
Last application date: 2023-08-11
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