Ledig stilling på Universitetet i Oslo
PhD Research Fellowship in Computational Physics
Universitetet i Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The research at the Department of
Physics covers a broad range of subfields within physics and technology: From space research to medical physics. A good proportion of the research is interdisciplinary, and conducted in close cooperation with collaborators in Norway and abroad. Education and teaching are other essential activities. We offer a broad range of courses, and the Department is involved in several study programmes at bachelor’s and master’s level. Some of the best lecturers in Norway are amongst our employees, and we are proud of our prizewinning teaching and learning environment. The Department has 200 employees, of which 50 are permanent scientific positions. On a yearly basis 20 students complete their Ph.D. and 50 finish their M.Sc. degree.
Flere stillinger fra Universitetet i Oslo
A position as PhD Research Fellow in Computational Physics is available at the Department of Physics.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. If the successful candidate has a good knowledge of one Scandinavian language (Norwegian, Swedish, Danish), the fellowship will be for a period of 4 years, with 25 % compulsory work (teaching at the Department of Physics). Otherwise, the fellowship will be for a period of 3 years, with no compulsory work.
Starting date no later than 01.10.2019
More about the position
The project deals with the development of advanced algorithms for studies of interacting many-particle systems (either classical or quantum mechanical ones) in condensed matter physics and/or subatomic physics.
The algorithms involved span from traditional many-particle methods (Molecular dynamics and/or quantum mechanical many-body methods) to novel approaches from Machine Learning and Quantum Computing.
The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
- Master’s degree (or equivalent) in Computational or Theoretical Physics with specialization in any of the above methods and systems.
- Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
- Good communication and collaboration skills.
The candidate is expected to participate in teaching of computational physics courses and should have a keen interest in computing in science education and teaching in general.
Candidates without a Master’s degree have until 30 June, 2019 to complete the final exam.
The norm is as follows:
- the average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
- the average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
- the Master’s thesis must have the grade B or better in the Norwegian educational system
- fluent oral and written communication skills in English
Other desired qualifications include:
- Applicants with documented research background (from their Master of Science thesis projects) in computational physics with studies of many-body methods or Machine Learning or Quantum Computing will be preferred.
- Good knowledge of programming languages like Python or C/C++ or modern Fortran is expected.
- Salary NOK 449 400 – 505 800 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
- Attractive welfare benefits and a generous pension agreement
- Vibrant international academic environment
- Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
How to apply
The application must include:
- Cover letter including a description of scientific interests and the motivation for applying for the position (max. 2 pages)
- CV (summarizing education, positions and academic work - scientific publications)
- Copies of educational certificates, transcript of records and letters of recommendation
- Documentation of English proficiency if needed (please see admission criteria)
- List of publications and academic work that the applicant wishes to be considered by the evaluation committee
- Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
The application with attachments must be delivered in our electronic recruiting system, please follow the link “Apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
Applicants will normally be called in for an interview.
Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.
The purpose of the fellowship is research training leading to the successful completion of a PhD degree.
The fellowship requires admission to the PhD program at the Faculty of Mathematics and Natural Sciences. The application to the PhD program must be submitted to the department no later than two months after taking up the position. For more information see:
According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.
In accordance with the University of Oslo’s equal opportunities policy, we invite applications from all interested individuals regardless of gender or ethnicity. The University of Oslo has a goal of recruiting more women in academic positions. Women are encouraged to apply.
For technical questions regarding the application system, please contact HR Adviser Elin Thoresen, +47 22 85 71 96, e-mail: [email protected]