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Milos Cvetkovic

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PhD Position: Energy Data Sharing for City-Level Policy Making Using Digital Twins Delft University of Technology in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

4-year doctoral appointment with salary from €3204 to €4051 gross per month on a full-time 38-hour contract, plus 8% holiday allowance and an end-of-year bonus of 8.3%.

Deadline

Nov 20, 2026

Country flag

Country

Netherlands

University

Delft University of Technology

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Information Technology
Mathematics
Urban Planning
Data Sharing
Digital Twin Technology
Smart Cities
Sociotechnical Systems

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About this position

This PhD project at Delft University of Technology focuses on energy data sharing for city-level policy making using digital twins within the FEDERATE NWO project. The research addresses a practical bottleneck in municipal decarbonization and sustainability planning: digital twins often depend on fragmented, partial, and incomplete data, while municipalities need richer and more actionable information to support policy decisions.

The doctoral researcher will study data sharing architectures that can connect citizens, local companies, and municipalities in ways that are compatible with the digital twins used by cities. A central part of the work is the design of ontologies and knowledge graphs, together with their integration into municipal digital twin environments and related tools for gathering data from citizens and companies.

The position is embedded in the Faculty of Electrical Engineering, Mathematics and Computer Science, in the Intelligent Electrical Power Grids section of the Department of Electrical Sustainable Energy. The group is led by Prof. Peter Palensky and works on advanced power technologies and intelligent control approaches for reliable, efficient, stable, affordable, and sustainable energy systems. The department also offers a strong research environment with extensive infrastructure, including high-voltage laboratories, DC grid testing environments, and large-scale RTDS simulation capabilities.

The project emphasizes both scientific rigor and near-term application potential, with opportunities to collaborate with industrial partners and researchers from other disciplines. The team also strongly supports open science through publishing, source code, and data sharing. The PhD candidate will contribute to scientific publications, project deliverables, project meetings, and teaching-related activities within the subject area.

The project is supervised by Dr. Milos Cvetkovic.

Funding details

4-year doctoral appointment with salary from €3204 to €4051 gross per month on a full-time 38-hour contract, plus 8% holiday allowance and an end-of-year bonus of 8.3%.

What's required

Applicants should already have an MSc degree in Computer Science, Electrical Engineering, Mathematics, or a similar field. They should demonstrate working proficiency in programming, excellent analytical skills, and a solid basis in one or more of knowledge graphs, knowledge representation, data engineering, model-driven software engineering, or data space architectures. Preference is given to candidates with an interest in modeling socio-technical systems and processes and experience working in large projects with many partners. English proficiency is required for communication, Doctoral Education courses, scientific writing, and the final thesis.

How to apply

Apply online via the application button no later than 20 November 2026. Upload your CV, motivational letter, and a list of grades for your qualifying degrees (BSc and MSc). Address the application to Dr. Milos Cvetkovic; applications by email or post will not be processed.

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Professors

Professor at Delft University of Technology

University Name
Country flag

Netherlands

Research Interests

Power System

Energy Engineering

Electrical Engineering

Distributed Energy

Machine Learning