Computational Intelligence Techniques For Multi-Objective Optimization In The Electricity Secto[...] Milano

Computational Intelligence Techniques For Multi-Objective Optimization In The Electricity Secto[...]
Milano
Lombardia, Milano

Organisation/Company: Politecnico di MilanoResearch Field: EngineeringResearcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)Country: ItalyApplication Deadline: 28 Feb 2025 - 23:59 (UTC)Type of Contract: To be definedJob Status: Not ApplicableIs the job funded through the EU Research Framework Programme?

Not funded by a EU programmeIs the Job related to staff position within a Research Infrastructure?

NoOffer DescriptionThe research program is focused on the technical and scientific in-depth analysis of the aspects linked to the development of computational intelligence techniques for multi-objective optimization problems related to complex energy systems and the analysis of energy heterogeneous data, coming from the field and/or related structures.

The scope is also the development of software tools with the main purpose of optimization, optimal control, and possible predictive behavior of relevant phenomena in the particular domain of application and study.

These techniques, integrating with existing applications and techniques, can provide useful indications for the optimization of production processes or for forecasting of specific trends of potential impact with respect to a user-defined function dependent on technical and economic parameters not known a priori. Qualifications and Selection ProcessRelevance of qualifications with the research programme object of selectionConsistency of the candidate's overall profile with respect to the content of the research programme for selectionClose relevance of publications submitted with the research programme object of selectionInterview aimed at ascertaining the candidate's aptitude for the research object of the selectionEligibility of fellows:Country/ies of residence: AllNationality/ies: All #J-18808-Ljbffr