The Division for Applied Mathematics (TIMA) at Linköping University invites applications for a PhD student position (Ref MAI-2024-00091) to perform research in computational mathematics or statistics. 

Work assignment: You will engage in cutting-edge research projects within computational mathematics/statistics. You will have the opportunity to develop, analyze, and implement advanced computational methods at the intersection of time-dependent partial differential equations, Bayesian statistics, inverse problems with uncertainty quantification, data assimilation, and scientific machine learning. The specific project will be tailored to align with your interests, with examples outlined at https://liu.se/en/work-at-liu/vacancies/25342. 

Regardless of the project you choose, you will collaborate with leading researchers in Sweden and internationally. Our group maintains active joint projects with institutions such as MIT and other prestigious universities in the US. You will also benefit from numerous professional growth opportunities, including participation in international conferences, publishing in high-impact journals, gaining teaching and leadership experience, and engaging in grant writing and project management.

Your qualifications: You should have a strong background in computational mathematics or a closely related field, such as computational statistics, physics, engineering, computer science, data science, or scientific machine learning. You should be driven, ambitious, open to giving and receiving honest feedback, and eager to improve continuously. You should also thrive on academic challenges and be fluent in English, as you will be actively involved in international collaborations. Finally, proficiency in Julia, Python, or Matlab is preferable, especially in numerical solvers for time-dependent PDEs, Bayesian inferences (e.g., MCMC sampling), or data assimilation.

The PhD student will closely work with Jan Glaubitz (https://www.janglaubitz.com). 

Application deadline: October 28, 2024. 

For complete details and information on how to apply, please visit: https://liu.se/en/work-at-liu/vacancies/25342 

Please share this opportunity with potential candidates. If you have any questions, feel free to contact Jan Glaubitz (jan.glaubitz@liu.se).