Ph.D. Candidate in Reinforcement Learning for Project Scheduling Problems

Ph.D. Candidate in Reinforcement Learning for Project Scheduling Problems

The Department of Manufacturing and Civil Engineering at NTNU in Gjøvik invites applications for a three-year Ph.D. position focused on Reinforcement Learning for Resource-Constrained Project Scheduling Problems (RCPSP). You will join the Civil Engineering and Geomatics research group to develop learning-based algorithms for scheduling optimization and contribute to the digitalization of circular construction.

Key Responsibilities

• Develop and evaluate learning-based algorithms for deterministic and dynamic scheduling optimization.
• Improve the scalability, robustness, and computational performance of scheduling methods.
• Disseminate research findings through high-quality peer-reviewed publications.
• Collaborate with researchers in the department and participate in projects such as HEU-CIRCULess.
• Complete the doctoral education program within the three-year employment period.

Qualifications

• Master’s degree in Computer Science, computer system engineering, or an equivalent field, corresponding to a five-year Norwegian degree.
• Strong academic record with an average grade of B or better on the Master's degree.
• Documented experience in reinforcement learning and GNNs.
• Fluent written and oral English skills.
• Ability to work independently and collaborate effectively within research teams.

What We Offer

• An international and inclusive research environment with career guidance and mentorship.
• Gross salary of NOK 580,000 per annum, subject to qualifications.
• Membership in the Norwegian Public Service Pension Fund (SPK).
• Access to employee benefits and free basic Norwegian language training.

For questions regarding the position, please contact Associate Professor Yongping Liu at yongping.liu@ntnu.no. For questions about the recruitment process, contact HR Advisor Kristine Rognlid Hagaseth.