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University of Tuscia

PhD Opportunities in Fusion Energy, Superconductors, Diagnostics, Metamaterials, Machine Learning, and Advanced Nuclear Systems at Università degli Studi della Tuscia Università degli Studi della Tuscia in Italy

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 18, 2026

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Country

Italy

University

University of Tuscia

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Materials Science
Fusion Energy
Metamaterial
Physics
Machine learning

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About this position

PhD opportunities are available at the Università degli Studi della Tuscia within the TRUST Project, a university initiative in the field of nuclear fusion aimed at creating and spreading new skills and expertise.

The call covers several research directions connected to advanced fusion and nuclear technologies, including tokamak development, high-temperature superconductors, electromagnetic diagnostics, metamaterials, machine learning, and advanced nuclear systems.

Specific topics mentioned in the post include: high-temperature superconducting cables and HTS stacked cables for fusion applications; magnetic, interferometric, and polarimetric diagnostics for fusion devices; multiphysics metamaterials and AI-based topology optimization; advanced nuclear configurations based on TRISO fuel, HTGR, and SMR; and machine learning for non-destructive structural monitoring in fusion applications.

This is a PhD opening, not a postdoctoral or master's call. The post gives a deadline of 18 August 2026, 2:00 p.m. CEST, with a planned start date of 1 November 2026.

Applicants should consult the official call and application page for full eligibility rules, selection details, and submission instructions. The opportunity appears to be based in Italy at the Università degli Studi della Tuscia.

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.

More information can be found here

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