Vacant job

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We welcome applications for a fully funded PhD position in Jan Glaubitz's research group, focusing on Bayesian computational mathematics for reliable and robust uncertainty quantification in science, engineering, and machine learning.

For more information about the position click here (https://web103.reachmee.com/ext/I011/853/main?site=6&validator=c5f766a55eafbb016232008485a24b49&lang=SE?rmpage=job&rmjob=28120&rmlang=SE).

Your tasks

A central challenge in computational mathematics and machine learning is ensuring reliability and trust. This is particularly important in areas such as medical diagnostics, weather forecasting, and aircraft design. To meaningfully increase the reliability of mathematical models and machine learning methods (e.g., neural networks), innovative and scalable methods are required that effectively and accurately capture, represent, and analyze uncertainties within well-founded frameworks.

As a PhD student, you will be part of Jan Glaubitz's research group and develop your own research agenda within the group's research areas at the intersection of inverse problems, Bayesian learning, and uncertainty quantification. The specific project will be tailored to your background and interests.

Your qualifications

You have completed a master's degree in mathematics, computer science, computational science, Computational Science & Engineering, or a related field, or have completed courses totaling at least 240 higher education credits, including at least 60 higher education credits at the advanced level or otherwise acquired equivalent knowledge.

Furthermore, you should be driven and motivated to continuously develop. You should also have a good command of English, as you will actively participate in international collaborations. Finally, you should have some programming experience.

Your workplace

You will be employed at the Department of Applied Mathematics in a welcoming and international work environment. The research group in computational mathematics is one of the most active in Scandinavia over the past decade. The group is characterized by work with fundamental mathematical and computational tools within numerical analysis, computational fluid dynamics, and uncertainty quantification with many applications.

Read more about the Department of Mathematics and what it is like to work here.

About the position

Upon taking up the position, you will be admitted to the doctoral program. Read more about the respective faculty's doctoral education here.

The position is temporary, normally for four years full-time. Extension of employment up to five years may occur based on the degree of teaching and departmental duties. In special cases, further extension may be possible. You will initially be employed for one year, after which the employment will be renewed for a maximum of two years at a time, based on the achieved study plan.

Start date by agreement.

Salary and benefits

Linköping University applies individual salary setting.

Read more about employee benefits here (https://liu.se/jobba-pa-liu/formaner).

Union contacts

Information about union contacts can be found here (https://liu.se/jobba-pa-liu/hjalp-for-sokande).

Application

Welcome to apply for this position by February 28, 2026.

We welcome applicants from diverse backgrounds, experiences, and perspectives, as this enriches and develops our activities. For us, it is self-evident to uphold everyone's equal value, rights, and opportunities. Read about our work with Equal Opportunities.

Welcome with your application!

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