PhD Candidate: Risk‑Based Transformer Loading & Power System Ops

Norwegian University of Science and Technology (NTNU); Trondheim; On-site; NOK 580,000 - 600,000; Full time

Benefits offered by this job

Open and inclusive working environment

Weekly Friday social gathering (Friday

Mentor programme

Public Service Pension Fund (SPK)

Job summary

NTNU seeks a PhD Candidate in Electric Power Engineering to contribute to the KSP UPLOAD project. The role combines doctoral studies with research aimed at increasing transformer loading capacity and improving risk-based operation.

You will work within the PSOA group and pursue coursework totaling 30 ECTS. The position requires a Master’s degree with excellent grades, Python proficiency, English proficiency at B2 level, and the ability to secure required security clearance.

Qualifications

• Master’s degree in Electric Power Engineering with 120 credits at Master’s level or equivalent.
• Proficient programming skills in Python.
• Strong academic background with high grades or publishable research.

Responsibilities

• Conduct high-quality research within the project framework.
• Participate in activities of the Power System Operation and Analysis group (PSOA).
• Complete academic coursework equivalent to 30 ECTS.
• Contribute to publications and dissemination of results.
• Participate in international activities such as conferences or research stays.
• Be prepared for changes to work duties as needed.

Skills

Python

Education

Master’s degree in Electric Power Engineering

Job description

NTNU seeks a PhD Candidate in Electric Power Engineering to contribute to the KSP UPLOAD project. The role combines doctoral studies with research aimed at increasing transformer loading capacity and improving risk-based operation.

You will work within the PSOA group and pursue coursework totaling 30 ECTS. The position requires a Master’s degree with excellent grades, Python proficiency, English proficiency at B2 level, and the ability to secure required security clearance.