Jalal Kazempour
6 months ago
Energy Systems DTU Wind and Energy Systems in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
Denmark
University
Technical University of Denmark

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Where to contact
Official Email
Keywords
Computer Science
Electrical Engineering
Mathematics
Data Privacy
Energy Engineering
Optimisation
Privacy-preserving Techniques
Energy Resources
Statistic
Machine learning
About this position
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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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