[Opt-Net] Two Ph.D. Positions on High-Performance * Optimization @Pisa

[Antonio Frangioni]

The Doctorate School in Computer Science at The University of Pisa is happy to announce the opening of two fully-funded three-years Ph.D. positions (extension to a fourth year if necessary can be considered) on

High-Performance Energy Optimization for Renewable Energy Communities

High-Performance Public Transport Optimization

The positions arise in the context of long-standing research lines. In particular, the first is related with the Italian PNNR "Network 4 Energy Sustainable Transition – NEST", the PRIN project "Large-scale optimization for sustainable and resilient energy systems", and the RESILIENT CET Partnership

	https://www.destec.unipi.it/progetti-di-ricerca/progetto-resilient-energy-system-infrastructure-layouts-industry-e-fuels-and

(among others) for the study of optimization of energy systems at all scales, from Renewable Energy Communities to the European level. The second is rather in collaboration with M.A.I.O.R. S.r.L,

	https://www.maior.it

an ante-litteram spin-off of the Department of Computer Science of the University of Pisa since over 30 years a leading company in Decision Support Systems for Public Transport companies and regulators, with customers in over 100 cities in Europe, North America, the Middle East, Oceania, South America, and Asia.

Both positions will strive to push the current boundaries of optimization approaches using the innovative C++ software framework SMS++

	https://gitlab.com/smspp/smspp-project

to develop sophisticated algorithms for large-scale, hard optimization problems. Significant methodological research in fields like decomposition approaches, parallel search, and others (depending on the tastes and inclinations of the students) will have to be conjoined with dedication to significant practical applications and implementation of efficient, well-designed, well-documented, well-tested open-source software.

Details of the call, and about how to apply, can be found at

	https://dottorato.unipi.it/index.php/en/application-process-for-the-academic-year-2024-2025/item/874.html

Scroll at the end of the page, click on the "Annexes" link, and search for

	INFO05_C INFO06_C

Admission is conditioned on obtaining a Master Degree in any scientific subject by October 31, 2024.

Deadline for the application is August, 22 2024 at 13:00 (CET).

Potentially interested candidates are very welcome to direct any question to Antonio Frangioni (frangio at di.unipi.it).