Caroline Granfeldt

Industrial Postdoc at the Division of Applied Mathematics.

Combining discrete optimisation and machine learning for decision support

My main area of research is discrete optimisation and the combination of optimisation-based solution methods with model-based reinforcement learning to improve decision-making. The intended application is for dynamic, real-time replanning of missions for autonomous agents in uncertain environments.

My industrial postdoc position started in spring 2026, funded by Wallenberg AI, Autonomous Systems and Software Program (WASP) and SAAB. I am part of the research group Mathematics and algorithms for intelligent decision-making led by Elina Rönnberg.

CV in brief

Industrial Postdoctoral Researcher, Department of Mathematics, Linköping University, and SAAB Aeronautics, Linköping
2026 – ongoing

Boundary spanning researcher, Department of Mathematics, Linköping University, and SAAB Aeronautics, Linköping
2024 – ongoing

Research Scientist, SAAB Aeronautics, Linköping
2023 – ongoing

Board member, Swedish Operational Research Association (SOAF)
2023 – ongoing

PhD in Applied Mathematics and Statistics, Chalmers University of Technology
Advisor: Ann-Brith Strömberg
Dissertation:Optimization of low-cost integration of wind and solar power in multi-node electricity systems: Mathematical modelling and dual solution approaches
2016 – 2023 (parental leave 2018 and 2020)

Research

Hierarchical mission planning for autonomous agents in uncertain environments

In collaboration with Saab Aeronautics, we develop methods for dynamic and intelligent decision-making for autonomous agents by combining optimisation methods with learning-based approaches.

Mathematics and algorithms for intelligent decision-making

On the journey towards sustainability, our contribution is to develop mathematical models and solution methods for practically relevant but computationally challenging problems in scheduling and resource allocation.

Resource allocation and scheduling for future avionic systems

To fully utilize the potential in modern modular avionic systems, very difficult allocation and scheduling problems may have to be solved. In cooperation with Saab Aeronautics, we develop specialized solution methods for future sysems.

Organisation

Illustrative picture representing mathematics

Applied Mathematics (TIMA)

Applied mathematics is used to study advanced methods for modeling in technology as well as natural and social sciences. The division conducts research in computational mathematics, mathematical statistics and optimization.

Department of Mathematics (MAI)

The department conducts research in computational mathematics, mathematics and applied mathematics, mathematical statistics, and optimization. We provide courses to students in most degree programmes in mathematics, science and engineering.

Studenthuset on Campus Valla in Linköping

About LiU

Linköping University, LiU, offers innovative education and boundary-crossing research. The students are among the most desirable in the labour market and international rankings consistently place LiU as a leading global university.