New Industrial PhD Program in High-Performance Scientific Computing Launched at University of Pisa

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We announce the launch of a new interdisciplinary Industrial PhD Program in High-Performance Scientific Computing (HPSC) at the University of Pisa, starting in November 2025. The program opens 4 fully funded positions to applicants from both EU and non-EU countries, with a deadline of July 18, 2025.

This cutting-edge program is co-designed with Sordina IORT Technologies, a leading medical technology company, and integrates expertise from eight university departments along with national research institutes. It addresses some of the most pressing challenges in scientific computing through a unique blend of academic training and industrial collaboration.

Focus Areas for Funded Research Projects:

  • Iterative Methods and Preconditioners for Sparse Linear Systems on Pre-Exascale and Exascale Architectures
  • HPC Software for Design and Analysis of Electronic Devices using Advanced Materials and AI/ML
  • Computational Models for Flash Radiotherapy and Radiobiological Applications (2 positions)
  • Reduced-Precision and Matrix Units on AI GPUs for Efficient Solution of the Wave Equation

Program Highlights:

  • Deep training in numerical algorithms, HPC architectures, parallel programming, and AI/ML
  • Applications in medicine, climate modeling, advanced materials, and more
  • Strong interdisciplinary and industrial orientation, including translational research projects with Sordina IORT Technologies
  • Access to state-of-the-art computing facilities and research environments

This initiative aligns with the mission of the dealii-X Centre of Excellence, which brings together HPC technology, scientific innovation, and societal impact, particularly in domains such as biomedical computing and radiotherapy.

🔗 Full program details and application portal: https://www.dm.unipi.it/phd-hpsc/

We welcome outstanding applicants from mathematics, computer science, physics, engineering, chemistry, and related disciplines to apply and help shape the future of high-performance scientific computing.

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