PhD student in Scientific Computing with applications in micromagnetism
Sort on published: 2017-08-22
Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with 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 44.000 students, 7.100 employees and a turnover of SEK 7 billion.
The Division of Scientific Computing at Uppsala University is a center for research and education in Scientific Computing. The research has a broad scope, including numerical analysis, applied scientific computing, high-performance computing, and applied cloud computing. The division engages in a broad range of collaborative projects in computational science and engineering (CSE), industrial applications and CSE software development. Application fields include fluid flow, electromagnetics, acoustics, geology, systems biology, quantum mechanics, financial mathematics, and genetics. The Division has an extensive international and national research network.
The graduate education program in scientific computing has so far resulted in over 80 PhDs. Many of them have continued a career as leading researchers in Scientific Computing working both in academia and industry.
The project: In summary, the topic of the PhD project is to construct, analyze and refine a framework for numerical simulation of magnetization processes. The focus particularly will be to develop goal oriented adaptive multiscale finite element methods to solve magnetization dynamics. The project will involve numerical analysis, mathematical and computational modeling, and programming in finite element methods, in particular in the framework of the FeniCS project (http://www.fenicsproject.org). A more detailed description of the project is available at
Duties: A PhD student employment is offered for up to five years. A PhD student should mainly focus on her/his own graduate education, which comprises four years of full-time study. The position can also include other departmental duties (up to 20%), in which case the position is extended accordingly.
Eligibility: A PhD position in Scientific Computing requires a Master of Science in computational science, engineering physics, applied mathematics, or a corresponding degree in a field relevant for the topic of the PhD thesis. It also requires a very good academic track record, good communication skills, and the ability to express yourself well in English both orally and in writing. Applicants for this project need good programming skills in Python, C/C++, Fortran or a similar language. Previous experience with finite element approximation and/or parallel computing and/or numerical methods for micromagnetizm, and/or code development based on the FeniCS library is a merit.
Application: The application should include a personal letter describing yourself, your qualifications, your research and interests, and how your past experiences fit into the project, your Curriculum Vitae, a copy of your degree diploma (if degree completed) along with a transcript of your grades showing that you are eligible for the PhD program in Scientific Computing, list of publications (if any), a copy of your undergraduate thesis or a draft and a detailed time plan for the rest of the work if it is not completed at the time of application, other documentation that you deem relevant for your application.
Applications may be submitted by candidates that have not yet fully completed the Master of Science degree (or equivalent), however all applicants should state the earliest possible starting date for the employment.
Rules governing Ph.D. candidates are set out in the Higher Education Ordinance Chapter 5, §§ 1-7 and in Uppsala university's rules and guidelines http://regler.uu.se/search/?hits=30&languageId=1&search-language_en=English
Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.
Pay: According to local agreement for PhD students and teaching assistants.
Starting: The starting date is open for discussion, though ideally we would like the successful candidate to start as soon as possible.
Working hours: 100 %
For further information about the position please see: http://www.it.uu.se/research/scientific_computing, or contact Murtazo Nazarov, email@example.com.
You are welcome to submit your application no later than 2017-09-30, UFV-PA 2017/2832.
Are you considering moving to Sweden to work at Uppsala University? If so, you will find much information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact the International Faculty and Staff Services at firstname.lastname@example.org.
Please do not send offers of recruitment or advertising services. Applications must be submitted as described in this advertisement.
Placement: Department of Information Technology
Type of employment: Full time , Temporary position longer than 6 months
Pay: Fixed pay
Number of positions: 1
Working hours: 100 %
County: Uppsala län
Ellena Papaioannou, Seko
Per Sundman, Saco-rådet 018-471 1485
Suzanne Borén Andersson, TCO/ST 018-471 6251
Number of reference: UFV-PA 2017/2832
Last application date: 2017-09-30
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