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Fully Funded PhD Positions in Surface Engineering, Heat Transfer, and Machine Learning at Sabancı University Sabancı University in Turkey
Degree Level
PhD
Field of study
Computer Science
Funding
Three fully funded PhD positions, each for 36 months full-time, within the SurPhase MSCA Doctoral Network. Includes international research training and secondments within the network.
Deadline
Oct 31, 2026
Country
Turkey
University
Sabanci University

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About this position
Sabancı University FENS is advertising three fully funded PhD positions within the SurPhase Marie Skłodowska-Curie Actions (MSCA) Doctoral Network, a Horizon Europe programme focused on advancing surface engineering and phase-change heat transfer technologies for low-GWP refrigerants.
The available doctoral projects are:
• DC1 – Multiscale mixed-wettability surfaces for enhanced flow boiling of low-GWP refrigerants
• DC4 – Mixed-wettability textures for dropwise flow condensation
• DC12 – Predictive maintenance and remaining-useful-life modelling for engineered surfaces
Each position is 36 months, full-time, and includes international research training plus secondments within the SurPhase network. The post highlights research interests in thermal sciences, surface engineering, two-phase heat transfer, data science, machine learning, and predictive maintenance.
Eligibility/fit: motivated candidates with interest in the listed research areas are encouraged to apply. The post does not list detailed academic prerequisites, but it is clearly a PhD-level opportunity.
How to apply: send a CV and a one-page motivation letter to [email protected]. In your email, identify your preferred doctoral candidate position (DC1, DC4, or DC12).
Deadline: expression of interest deadline is 31 October 2026.
Funding details
Three fully funded PhD positions, each for 36 months full-time, within the SurPhase MSCA Doctoral Network. Includes international research training and secondments within the network.
What's required
Candidates should be motivated and interested in thermal sciences, surface engineering, two-phase heat transfer, data science, machine learning, and predictive maintenance. Applicants should submit a CV and a one-page motivation letter, and identify their preferred DC position. The post does not specify degree prerequisites beyond the PhD opening itself.
How to apply
Send a CV and a one-page motivation letter to [email protected]. State which DC position you prefer (DC1, DC4, or DC12).
More information can be found here
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