Development Of Artificial Intelligence Techniques For The Analysis Of Battery Health, P.E. Pe00[...] Milano

Development Of Artificial Intelligence Techniques For The Analysis Of Battery Health, P.E. Pe00[...]
Milano
Lombardia, Milano

Organisation/Company: Politecnico di MilanoResearch Field: Computer scienceResearcher 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 goal of the research program is the development of online trading algorithms to predict the life of the batteries and their health state.

It requires the analysis of real-world data provided by companies and the design of robust machine learning algorithms capable of operating in a real-world environment in online fashion.

The algorithms will then need to be implemented and evaluated in a real environment. Qualifications and Selection CriteriaRelevance 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: #J-18808-Ljbffr