Doctoral Candidate position at UNIBO in the RESTORATIVE MSCA Doctoral Network
Pubblicato il 31-07-2026 - Alma Mater Studiorum - Universita' Di Bologna in Italia
Organisation/Company Alma Mater Studiorum - Università di Bologna Department Department of Civil, Chemical, Environmental, and Materials Engineering - DICAM Research Field Engineering » Chemical engineering Engineering » Systems engineering Technology » Energy technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Jul 2026 - 23:59 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number DC13 UNIBO_RESTORATIVE Marie Curie Grant Agreement Number Is the Job related to staff position within a Research Infrastructure? No
Offer Description
The successful candidate for this post (DC13) will be employed full-time for a fixed-term of 36 months and enrolled on a PhD at the University of Bologna from 1st November 2026 to research and write a PhD thesis on Quantitative Socioeconomic-Sustainability Assessment of TM-GSES Systems.
Job duration: 36 months
Main research field:
Chemical Engineering
Research subfield: Systems Engineering, Energy Storage, Process Safety, Sustainability Assessment
The project aims to redesign the approach to the quantitative assessment of the sustainability of grid-scale energy storage (GSES) technologies, a cornerstone for future net zero electricity grids.
It will explore the different dimensions of sustainability (social, economic, environmental) to identify appropriate quantitative Key Performance Indicators (KPIs) suitable for a prospective (“ex-ante”) evaluation of alternative GSES technologies since the R&D; and the early design stages.
A comprehensive framework will be developed to assess the whole sustainability footprint of GSES systems, also incorporating key socio-economic factors, such as job creation, safety, and energy cost savings, associated with the deployment of these technologies.
Using quantitative models, the result