Job Description
About this position
The energy transition requires advanced optimization methods to manage increasingly complex and flexible energy systems. In this internship, you will explore how emerging computational approaches, including hybrid quantum–classical optimization methods, can support future energy system planning and operation. You will work with a multidisciplinary team at TNO on practical optimization challenges and assess where advanced solution techniques can provide value beyond conventional approaches. The internship offers a unique opportunity to work at the intersection of energy systems, optimization, and emerging computational technologies. What will be your role?During this internship, you will work on the development and evaluation of optimization methods for representative energy system planning or scheduling problems.
Typical activities include:
Job Details
- Location Rijswijk, South Holland
- Job Type Full-time
- Category Physical Scientists
- Posted Date June 20, 2026
- Application Deadline July 30, 2026