Jalal Kazempour
5 months ago
Energy Systems DTU Wind and Energy Systems in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
The positions are fully funded through the EUDP-funded project 'Data Unlocked.' Funding includes a stipend and covers tuition. The project received 9.4 million DKK (approx. 1.26 million EUR) for research activities. Positions include a 4–6 month international research stay.
Deadline
Aug 1, 2026
Country
Denmark
University
Technical University of Denmark
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About this position
Funding details
The positions are fully funded through the EUDP-funded project 'Data Unlocked.' Funding includes a stipend and covers tuition. The project received 9.4 million DKK (approx. 1.26 million EUR) for research activities. Positions include a 4–6 month international research stay.
What's required
Applicants should have a strong interest in privacy-preserving data sharing for energy systems and hold a background in mathematics, statistics, computer science, operations research, control theory, electrical engineering, energy systems, or related fields. Experience in optimization, probability, machine learning, and programming (Python/Julia) is a plus. High motivation and commitment are expected. No specific GPA or language test requirements are mentioned.
How to apply
The official application link will be shared in the next 1–2 weeks. Interested candidates should contact Lesia Mitridati ([email protected]) or Jalal Kazempour ([email protected]) directly to express interest and discuss fit.
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Want to help shape the green energy transition while protecting sensitive # energydata ? We will soon announce two fully funded PhD positions at DTU Wind and Energy Systems in “Privacy-Preserving Data Sharing for Future Energy Systems.” The official application link will be shared in the next 1–2 weeks.
These positions are part of our EUDP-funded project “Data Unlocked” ( https://lnkd.in/dKb7yFu2 ), in collaboration with Energinet, Enfor, Green Power Denmark, NeoGrid, and Watts. The project focuses on unlocking value from energy data while ensuring privacy using differential privacy. Among others, potential applications include:
- Privacy-aware sharing of consumer demand data for flexibility services
- Secure exchange of grid operation data for system coordination
You will join the Energy Markets and Analytics (EMA) Section ( https://lnkd.in/dp5PdppY ), a vibrant, international team of 13 researchers from 8 nationalities. EMA values diverse scientific backgrounds, perspectives, and gender balance and fosters a collaborative, stimulating environment.
We are looking for highly motivated and committed candidates with a strong interest in this research area, with backgrounds in mathematics, statistics, computer science, operations research, control theory, electrical engineering, energy systems, or related fields. Experience in optimization, probability, machine learning, and programming (Python/Julia) is a plus.
?? Positions start in 2026 (ideally Feb 1, no later than Aug 1), including a 4–6 month international research stay.
?? Stay tuned for the official call! If you see a fit, contact us directly:
Lesia Mitridati : [email protected]
Jalal Kazempour : [email protected]
?? About # DifferentialPrivacy : check out the newly released book by colleagues ( https://lnkd.in/d6jbE-ge ) — it already includes a chapter on differential privacy in energy systems!
# PhD # EnergySystems # DataPrivacy # DifferentialPrivacy # RenewableEnergy # DTU # GreenTransition # ResearchOpportunity # DiversityInResearch