PhD in AI-Driven Distribution Systems under Uncertainty

Delft University of Technology via AcademicTransfer; Netherlands; Hybrid; EUR 36,000 - 45,000; Full time

Job summary

Delft University of Technology (TU Delft) is hiring a doctoral candidate for a four-year PhD on distribution systems with flexible operation under limited data and uncertainty. The project is part of the Future Network Services (FNS) and 6G initiatives, supervised by senior faculty in the EEMCS faculty.

You will work on AI/ML and optimization for DER coordination, collaborate with industry, and contribute to teaching activities while advancing open science in a multidisciplinary setting.

Qualifications

• MSc in a highly technical discipline with top-of-class performance.
• Excellent analytical skills and solid basis in ML and/or optimization.
• Strong English communication skills (TOEFL/IELTS criteria may apply).
• Independent, self-motivated researcher who enjoys collaboration.

Responsibilities

• Conduct PhD research on distribution systems with DERs and smart buildings.
• Address data limitations and uncertainty in optimization and AI models.
• Collaborate with industrial partners and other disciplines; assist in teaching activities.

Skills

Machine learning

Operational research

Power systems knowledge

Python programming

Analytical thinking

Education

MSc in electrical/computer engineering or related

Tools

Pyomo

Git

Job description

Delft University of Technology (TU Delft) is hiring a doctoral candidate for a four-year PhD on distribution systems with flexible operation under limited data and uncertainty. The project is part of the Future Network Services (FNS) and 6G initiatives, supervised by senior faculty in the EEMCS faculty.

You will work on AI/ML and optimization for DER coordination, collaborate with industry, and contribute to teaching activities while advancing open science in a multidisciplinary setting.