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Kaushik Das

6 months ago

Postdoc in Experimental Validation and Control of Hybrid Power Plants at Technical University of Denmark Technical University of Denmark in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Denmark

University

Technical University of Denmark

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Keywords

Computer Science
Electrical Engineering
Energy Engineering
Python Programming
Control System
Physics

About this position

DTU Wind and Energy Systems at the Technical University of Denmark is advertising a Postdoc in Experimental Validation and Control of Hybrid Power Plants. The position is centered on the Risø Hybrid Power Plant (HPP) in Roskilde, one of Europe’s notable experimental facilities for hybrid renewable energy research.

The project combines wind turbines, PV systems, battery storage, and an upcoming controllable grid interface (CGI) for grid emulation. The research is aimed at bridging high-fidelity modelling with real-world experimental validation of hybrid renewable power plants, especially under weak grids and low-inertia, converter-dominated power systems.

Research topics include RMS, EMT, and frequency-domain modelling, development of plant-level controllers, real-time implementation using OPAL-RT platforms, and power hardware-in-the-loop (PHIL) testing. The role also mentions integration of research into teaching and supervision.

Preferred background includes converter-based energy resources, experience with RMS/EMT modelling and control, hands-on work with HIL systems or experimental setups, and programming skills in C++ and Python. The post is especially relevant for candidates interested in renewable energy systems, power electronics, grid integration, and experimental power system validation.

Deadline: 22 April 2026. Applicants should use the DTU application link provided in the post. The announcer is Kaushik Das, Associate Professor at DTU Wind and Energy Systems.

Funding details

Available

What's required

Strong background in converter-based energy resources, experience in RMS/EMT modelling and control, hands-on work with HIL systems or experimental setups, and skills in C++/Python and communication systems are preferred.

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Professors

Associate Professor

University Name
Country flag

Denmark

Research Interests

Energy Engineering

Power System

Energy Economics

Power Generation

Clean Energy