Stelios Georgantzinos
3 months ago
Funded PhD Candidate Positions in Aerospace Engineering, Computational Mechanics, Smart Materials, and AI-Based Optimization National and Kapodistrian University of Athens in Greece
Degree Level
PhD
Field of study
Computer Science
Funding
Two funded PhD candidate positions are available. Funding is stated as available; no stipend amount, tuition coverage, or other financial breakdown is provided.
Deadline
Oct 5, 2026
Country
Greece
University
National and Kapodistrian University of Athens

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About this position
Two funded PhD candidate positions are available at the National and Kapodistrian University of Athens, Department of Aerospace Science and Technology (Psachna, Evia). The positions are aimed at candidates interested in research at the intersection of aerospace engineering, mechanical engineering, computational mechanics, smart materials, digital twins, and AI-based design/optimization.
The advertised research themes include additive construction, computational mechanics and simulations, smart materials and smart construction, digital twins, design and optimization using artificial intelligence, and topological and structural optimization. The post also highlights opportunities for international collaboration, high-level publications, and participation in international research projects.
Eligibility highlights: applicants should hold an Engineering Diploma or Science Degree plus a Master’s degree in a related subject. A very good command of English is required. Prior experience in additive manufacturing, digital twins, finite elements, programming, AI/ML, or experimental testing will be considered an advantage.
Funding is available for both PhD positions, but the post does not specify stipend amount, tuition coverage, or duration. The start date is listed as upon request. The application deadline is 2026-10-05.
To apply, candidates should email a CV, detailed grade/degrees, and a short letter of expression of interest (maximum 1 page) to [email protected].
Funding details
Two funded PhD candidate positions are available. Funding is stated as available; no stipend amount, tuition coverage, or other financial breakdown is provided.
What's required
Applicants should have an Engineering Diploma or Science Degree with a Master's degree in a related subject. Very good knowledge of English is required. Experience in additive manufacturing, digital twins, finite elements, programming, AI/ML, or experimental testing is considered an additional qualification. Strong interest and passion for research and advanced technologies are expected.
How to apply
Send a CV, detailed grade/degrees, and a short letter of expression of interest (max 1 page) to [email protected]. Interested candidates should apply by email before the deadline.
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