Up to 30% off — ends 2 Aug
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Up to 30% off — ends 2 Aug
ONLY00h00m00s
Hamid Reza Shaker
3 weeks ago
PhD Positions in Energy Informatics, AI-Driven Predictive Maintenance and Asset Management at University of Southern Denmark University of Southern Denmark in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
Denmark
University
University of Southern Denmark

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About this position
University of Southern Denmark is hiring two PhD candidates in Energy Informatics at the SDU Center for Energy Informatics. The positions are in Theme 2 and focus on AI-driven predictive maintenance and asset management for smart energy systems.
The research context includes applications in smart grids and district heating infrastructure, with work on data-driven decision support, applied AI, and practical software tools for future energy systems. The post mentions solutions such as DistrictHeat+ for district heating and similar software solutions for smart power grid applications.
Ideal candidates should have a strong background or clear interest in energy systems, data analytics, machine learning, predictive maintenance, asset management, smart grids, district heating, and applied AI for the green transition. The post does not list detailed eligibility criteria such as degree class, GPA, or language test requirements.
Hamid Reza Shaker, Professor at the University of Southern Denmark, states that he will be the main supervisor for these two positions. The opportunity is aimed at candidates who want to work at the intersection of AI, energy infrastructure, and real-world impact.
No explicit funding amount, tuition coverage, or deadline is stated in the post text provided. Interested applicants should use the linked SDU career posting to read the full call and submit an application through the university portal.
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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