3 Fully Funded PhD Positions in Sustainable Power Electronics, SiC Devices and AI
Join a Horizon Europe MSCA Doctoral Network to advance sustainable power electronics and AI-driven SiC device reliability in Limassol, Cyprus.
Best for:Best for recent graduates or master’s holders with a strong background in electrical engineering, computer science, or related fields, passionate about sustainable power electronics and AI-driven reliability modelling.
Overview
These three PhD positions are part of the Horizon Europe MSCA Doctoral Network CPEC, focusing on sustainable power electronics and silicon carbide (SiC) devices. Based at Cyprus University of Technology in Limassol, successful candidates will conduct cutting-edge research in areas such as SiC device design, power module health monitoring, and second-life modular power converters. Each position offers a 36-month full-time contract with social security coverage, international secondments, and access to a European network of doctoral researchers. Applicants will collaborate with academic and industrial partners, benefiting from joint training schools, workshops, and transferable skills development. The programme aims to bridge research and industry, fostering innovation in sustainable energy technologies.
What you'll do
- Conduct research on sustainable and reliable design of SiC semiconductor devices and gate drivers, including TCAD and mixed-mode modelling.
- Develop physics-informed generative machine learning and Bayesian world models for predicting SiC module health and remaining useful life.
- Assess, derate, control, and reconfigure modular SiC converters for safe second-life applications, including experimental validation and environmental impact analysis.
- Collaborate with academic and industrial partners through international secondments and participate in joint training schools and workshops.
- Contribute to the development of transferable skills through structured training programmes within the MSCA network.
- Publish research findings in high-impact journals and present results at international conferences.
Requirements
Degree required: Bachelor’s degree or equivalent in Electrical Engineering, Computer Science, or a related field
Degree offered: PhD
Language: English; excellent proficiency required
Instruction: English
- Proven academic background in electrical engineering, computer science, or a related discipline
- Strong proficiency in modelling techniques, including TCAD and mixed-mode simulation
- Experience with machine learning, particularly physics-informed generative models and Bayesian approaches
- Familiarity with semiconductor device characterization and degradation modelling
- Ability to conduct experimental validation and environmental assessments
- Open to EU and non-EU applicants under MSCA eligibility rules (e.g., mobility rule: not having resided or carried out main activity in Cyprus for more than 12 months in the last 3 years)
- Applicants must not have been awarded a doctoral degree previously
Funding & terms
How to apply
Deadline: 2026-11-18 (Asia/Nicosia)
Applicants must apply through the official Cyprus University of Technology doctoral application procedure. Select and rank your preferred positions (DC1, DC5, or DC8) and submit all required documents via the university’s application system.
- CV
- Motivation letter
- Academic transcripts and degree certificates
- Two letters of recommendation
- Proof of English proficiency (if applicable)
Contact
Neophytos Lophitis / Sotirios Chatzis· Supervisors
neophytos.lophitis@cut.ac.cy (DC1/DC8), sotirios.chatzis@cut.ac.cy (DC5)
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