We are looking for a doctoral student who would like to work in any of the research areas of the division of Applied Mathematics and Statistics. Our department continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all our activities. We work actively to be a parent-friendly organization.

Information about the division
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.

The following list includes a collection of possible projects that you can work in:
Marina Axelson-Fisk: AI Support for Medical Decision Making
Tobias Gebäck, Alexei Heintz and Irina Pettersson: Multiscale models for wetting dynamics in porous materials
Philip Gerle: Universal differential equations for infectious disease modelling
Erik Kristiansson: Analysis of DNA sequences using artificial intelligence
Anders Logg: High-Performance High-Quality Automated Mesh Generation for Large-Scale City Modeling and Simulation
Serik Sagitov: Critical Galton-Watson processes with overlapping generations
Aila Särkkä: Spatio-temporal modelling combined with machine learning

Feel free to contact any of the people above or other people in the division that you might be interested in working with already before submitting your application.

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 will normally include 20% departmental work, mostly teaching duties.

Contract terms
Full-time temporary employment. The employment is a fixed-term position limited to a maximum of five years, four years of studies and up to one year of departmental work distributed during the whole employment period.

Qualifications
To qualify for this PhD position, you must have obtained a master's degree in mathematics, applied mathematics, mathematical statistics, or other relevant field or expect to complete such a degree by September 1, 2022.

The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Ref 20210611 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document as: CV, Surname, Ref. number) including:
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Describe your future goals and future research focus

Other documents:
• Attested copies of completed education, grades and other certificates.
• Include all relevant work such as bachelor's or master's thesis and articles (provide an English summary if necessary) that you have authored or co-authored.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: February 25, 2022

For questions, please contact:
Annika Lang, Head of unit, Department of Mathematical Sciences
Email: annika.lang@chalmers.se

Marija Cvijovic, Director of graduate studies, Department of Mathematical Sciences
Email: marija.cvijovic@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. *** 
   

The Department of Mathematical Sciences at the 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. 

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!    

 

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