PhD: AI-Driven Flexible Distribution Grids

Delft University of Technology (TU Delft); Delft; Hybrid; EUR 36,000 - 45,000; Full time

Job summary

Delft University of Technology invites applications for a four-year PhD position in the Intelligent Electrical Power Grids group within the Electrical Sustainable Energy department. The project investigates how distributed energy resources and smart buildings can be coordinated under limited data and uncertainty using AI/ML approaches. You will be supervised by Dr.

Pedro P. Vergara and Prof. Peter Palensky, and you will join a team that collaborates with industrial partners and other

Qualifications

• Basic knowledge of power systems.
• Completed MSc degree in a highly technical related discipline and you were at the top of your class.
• Excellent analytical skills and a solid basis in machine learning and/or operational research.
• Excellent oral and written communication skills in English proven by a TOEFL/IELTS score (results later) and good overall communication.
• You enjoy performing research, are independent, self-motivated, and eager to learn.
• Keen to work with partners to link real-world challenges to fundamental research questions.

Responsibilities

• Conduct doctoral research on distribution systems with DERs and smart buildings under uncertainty.
• Collaborate with industrial partners and academics from mathematics and operations research.
• Contribute to teaching activities: student supervision and labs.
• Publish research in open science spirit and share data/code where appropriate.

Skills

Power systems basics

Analytical skills

English communication

Education

MSc in technical field

Tools

Python

Pyomo

Machine learning

Job description

Delft University of Technology invites applications for a four-year PhD position in the Intelligent Electrical Power Grids group within the Electrical Sustainable Energy department. The project investigates how distributed energy resources and smart buildings can be coordinated under limited data and uncertainty using AI/ML approaches. You will be supervised by Dr.

Pedro P. Vergara and Prof. Peter Palensky, and you will join a team that collaborates with industrial partners and other