PhD: Energy Data Sharing for City-Level Digital Twins

Delft University of Technology; Delft; On-site; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Customisable compensation package

Discounts on health insurance

Monthly work costs contribution

Flexible work schedules

Job summary

Delft University of Technology is inviting applications for a four-year PhD position in the Intelligent Electrical Power Grids group, within the Faculty of Electrical Engineering, Mathematics and Computer Science. The PhD will investigate energy data sharing architectures and digital twins for city-level policy making, supervised by Dr.

Milos Cvetkovic. The candidate will contribute to ontologies, knowledge graphs, and data sharing with municipalities and citizens, while engaging in teaching

Qualifications

• Candidates must hold an MSc in Computer Science, Electrical Engineering or Mathematics.
• Strong programming experience and analytical skills.
• Knowledge graphs, knowledge representation, data engineering, model-driven software engineering or data space architectures.
• Interest in socio-technical system modeling and collaboration on large multi-partner projects.

Responsibilities

• Develop new science and publish in journals and conferences.
• Work on deliverables of the FEDERATE project and attend project meetings.
• Assist in the graduate school requirements and PhD dissertation by project end.
• Collaborate within TU Delft and with industrial partners in a multidisciplinary environment.

Skills

Analytical thinking

Programming ability

Socio-technical modeling

Collaborative mindset

Education

MSc in Computer Science

MSc in Electrical Engineering

MSc in Mathematics

Job description

Delft University of Technology is inviting applications for a four-year PhD position in the Intelligent Electrical Power Grids group, within the Faculty of Electrical Engineering, Mathematics and Computer Science. The PhD will investigate energy data sharing architectures and digital twins for city-level policy making, supervised by Dr.

Milos Cvetkovic. The candidate will contribute to ontologies, knowledge graphs, and data sharing with municipalities and citizens, while engaging in teaching