PhD student position in computational mathematics for SPDEs

Information about the department and division
The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 200 employees and is the largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics and conducts successful research in pure and applied mathematics and mathematical statistics in a wide range of research areas. We have an international environment with frequent exchanges with other universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. There are many committed teachers with extensive and broad experience of all aspects of higher education. More information about us can be found on our website: http://www.chalmers.se/math/

At the division of Applied Mathematics and Statistics we conduct research within the theory and implementation of finite element methods, inverse wave propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large-scale computational methods, and bioinformatics. The division is also expanding in the area of AI – Artificial Intelligence. 

We will recruit one doctoral student in mathematics to work under the supervision of David Cohen on a project related to the numerical analysis of Stochastic Partial Differential Equations (SPDEs) with the following aims: 

• develop novel numerical algorithms for SPDEs in the random field setting
• develop mathematical foundations for analysing the proposed numerical methods
• implement and apply the proposed numerical methods in practice.

Major responsibilities
You will be enrolled in a graduate program at the Department of Mathematical Sciences. You are expected to develop your own ideas and communicate scientific results orally as well as in written form. In addition, the position may include 20% departmental work, mostly in form of teaching duties.

Position summary
Full-time temporary employment. The position is limited to a maximum of five years.

Qualifications
To qualify as a PhD student, you must have a strong background in mathematics. You must have obtained a master's degree in mathematics or applied mathematics, or expect to complete such a degree by December 1, 2020.

Experience in some of the following areas may be meritorious: computational methods for stochastic (partial) differential equations, probability theory, stochastic analysis. 

Good communication skills in oral and written English are required. Excellent presentation skills, and fluency in English are required. Chalmers offers Swedish courses.

You should include all relevant work such as master's thesis and articles (provide an English summary if necessary) that you have authored or co-authored.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Our offer to you
Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees. We work actively to be a parent-friendly organization.

Application deadline: 9th October, 2020

READ MORE AND APPLY HERE

Preliminary starting date:
January 01, 2021 or earlier.

For questions, please contact:
Head of unit, Annika Lang, annika.lang@chalmers.se
David Cohen, david.cohen@chalmers.se

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!