The Uppsala University is looking for up to four PhD students who will join CIM’s Graduate school and work on proposed research projects for the academic session 2021-2022. The PhD students will work with an interdisciplinary research project, with at least two advisers representing different scientific areas, or one from a company or a research institute and one from academia.
Table of Contents
Scholarship Sponsor | Uppsala University |
Scholarships level | PhD positions |
Award Amount | Salary |
Fellowship Period | Three years |
Study area | Mathematics |
Opening date | February 16 2021 |
Closing date | March 31 2021 |
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 45,000 students, more than 7,000 employees and a turnover of around SEK 7 billion.
The Centre for Interdisciplinary Mathematics (CIM) at Uppsala University conducts interdisciplinary research connecting the mathematical sciences and other areas of science and industry. CIM offers training and expertise in mathematical modelling and computer simulation, and hosts a Graduate school since 2011; for more details see https://www.math.uu.se/research/cim. The available PhD projects are presented at CIM’s web page https://www.math.uu.se/research/cim/research-at-cim/phd-projects/.
The deadline for applications is March 31, 2021
Applicants should contact a potential supervisor at Uppsala University to discuss the research project before submitting their applications.
The candidates are expected to have an interest in applied mathematics and/or developing models in an interdisciplinary context.
A PhD student position requires a master’s degree in a field that is relevant for conducting research in applied mathematics, e.g., mathematics, engineering physics or scientific computing.
Candidates with a background in another area of science, e.g. chemistry or biology, with a strong competence and interest in mathematical modelling are also encouraged to apply.
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