Advanced Methods of Decision Making for Energy System Modelling under Uncertainties - 2026_CDR_DENG_7

Position: Post-doctoral research contract Institute: Polytechnic of Milano
Posted on: 18/02/2026 Deadline: 21/03/2026

Scientific-Disciplinary Group

09/IIND-07 - Thermal Sciences, Energy Technology, Building Physics And Nuclear Engineering

Description

The research investigates the space of actions and limitations of Linear Programming approaches in energy system optimisation modelling, highlighting their challenges in representing long-term uncertainty and complex decision-making processes. It explores advanced methods for Decision Making under Deep Uncertainty, aiming to support robust energy planning across highly uncertain future scenarios. In parallel, Multicriteria Decision Making frameworks are applied to integrate economic, environmental, and social objectives. The overall goal is to enhance decision support for energy policy design at national and regional levels. The analysis is grounded in the Italian case, with potential extensions to other European contexts.

Job posting website

https://www.polimi.it/en/bandi-per-contratti-di-ricerca

Number of positions

1

Funding body

Politecnico di Milano

How to apply

https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079

Selection process

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In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it/en/bandi-per-contratti-di-ricerca quality, originality, and innovation of the research proposal, with reference to the research program covered by this selection (up to points) relevance and significance of previous research activities and professional experience in relation to the research program (up to points) relevance of submitted publications with respect to the research program (up to points) interview, aimed at assessing the candidate’s research aptitude, their ability to implement the proposed project, and their knowledge of English and/or other relevant languages for the research (up to points)

View the original posting on the MUR website: Go to MUR website

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