Open doctoral researcher position in the University of Jyvaskyla

About the role

We are seeking a motivated doctoral researcher to join the internationally recognized Multiobjective Optimization Group at the University of Jyväskylä in Finland. This position focuses on developing new interactive multiobjective optimization methods to support industrial decision makers navigating complex trade-offs in uncertain, volatile energy markets. The research lies at the intersection of mathematical optimization, decision analytics, Bayesian uncertainty modelling, and visual decision support.

As part of the role, you will contribute to the development of the open-source software framework DESDEO (implemented in Python). The position also involves working on at least one of the following topics: uncertainty modelling and Bayesian belief elicitation, explainable multiobjective optimization, or adversarial and probabilistic risk analysis.

Requirements

• Firm knowledge of optimization methods, preferably with experience in multiobjective optimization methods.
• Strong motivation to support decision making under uncertainty using interactive methods.
• Solid programming skills, particularly in Python, as you will contribute to open-source software development.

Research Environment

The Multiobjective Optimization Group specializes in interactive multiobjective optimization methods and their real-world applications. The group collaborates internationally and focuses on high-quality, impactful research. You will work in an inspiring, international environment on a beautiful campus next to a lake.

Application deadline: June 15, 2026.