PhD Researcher in Interactive Multiobjective Optimization

Suomen Operaatiotutkimusseura ry (FORS); Indiana (PA); On-site; USD 31,000 - 42,000; Full time

Job summary

The University of Jyväskylä's internationally recognized Multiobjective Optimization Group is seeking a motivated doctoral researcher to advance interactive multiobjective optimization methods for real applications. The position involves developing new interactive methods to support industrial decision makers navigating trade-offs in uncertain environments.

The research spans optimization, decision analytics, Bayesian uncertainty modelling, and visual decision support, with solid programming in

Qualifications

• Firm knowledge of optimization methods and preferably multiobjective optimization methods.
• Strong motivation to support decision making under uncertainty with interactive methods.
• Solid programming skills, Python proficiency, and willingness to contribute to the DESDEO framework.

Responsibilities

• Develop new interactive multiobjective optimization methods for industrial decision making.
• Support decision makers navigating complex trade-offs in uncertain markets.
• Work on topics such as uncertainty modelling, Bayesian belief elicitation, and risk analysis.
• Contribute to open-source DESDEO (Python) development.

Skills

Optimization methods

Multiobjective optimization

Python

Interactive optimization

Tools

DESDEO

Job description

The University of Jyväskylä's internationally recognized Multiobjective Optimization Group is seeking a motivated doctoral researcher to advance interactive multiobjective optimization methods for real applications. The position involves developing new interactive methods to support industrial decision makers navigating trade-offs in uncertain environments.

The research spans optimization, decision analytics, Bayesian uncertainty modelling, and visual decision support, with solid programming in