[Job-offers-cs] Post-doc position on energy optimization @DI-UniPI

[Pekka Orponen]

In the context of the PRIN2022 project "Large-scale optimization for 
sustainable and resilient energy systems" (2022BMBW2A), the Department 
of Computer Science of the University of Pisa (DI-UNIPI) is happy to 
announce the availability of a 1y post-doc position ("assegno di 
ricerca"), salary of 21888,48€/year (net of contributions but gross of 
personal income taxes).

The position is open to candidates with a MSc degree, STEM fields 
preferred, with focus on
mathematical optimization. PhD may be a plus. Programming skills 
(especially C++) are desirable.

The project is

Models and methods for energy optimization in the presence of energy aspects

and the actual research line is quite open to negotiations with the 
winner, provided it is related to "energy" and "optimization". The 
research team at DI-UNIPI has state-of-the-art know-how and facilities 
for modelling and solving large-scale, challenging mathematical 
optimization problems related to energy systems, including access to 
powerful computational servers. Contributions to the open-source C++ 
framework SMS++

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

in its energy-related modules, general-purpose modules, or both will be 
highly appreciated. All sorts of energy optimization problems can be 
considered, starting from any variant (deterministic or stochastic) of 
Unit Commitment, Optimal Power Flow, Optimal Transmission Switching, 
mid-term energy reservoir optimization, long-term energy system design, 
Energy Community design and operations, and basically any other. 
Interesting algorithmic techniques include, e.g., decomposition methods 
(Lagrangian Relaxation, Column Generation, Benders' Decomposition in any 
possible combination), Branch-and-Bound, large-scale math-heuristics, 
and any contribution to subproblems of interest in these approaches.

The Postdoc will be included in a vibrant research environment, with the 
possibility to collaborate with other active research projects such as 
RESILIENT

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

The position is fully funded for one year, extensions can be evaluated 
subject to mutual interest.

HOW TO APPLY

• Pure online application at:
https://pica.cineca.it/unipi/ass-inf2024-9/

• Details, requirements and instructions to apply (must read):
https://bandi.unipi.it/public/Bandi/Detail/1c421117-e350-4922-8917-d17752a3a180>
HARD DEADLINE: June 19, 2024 at 13.00 CEST

For further questions, contact Antonio Frangioni (frangio at di.unipi.it)