Politecnico di Milano
MULTISCALE MODELING OF PHOTO(ELECTRO)CHEMICAL DEVICES FOR CO2 REDUCTION - 2025_C
Politecnico di Milano, Italy, New York, United States
Organisation/Company Politecnico di Milano Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 22 Jan 2026 - 12:00 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description The work involves extending CatalyticFOAM, a reactive CFD framework, for photoelectrocatalysis (PEC) applications. The activity will include integrating light effects into the CFD model by solving the radiation transport equation (RTE) and implementing light attenuation across different materials according to the Lambert–Beer law, thus enabling an accurate description of PEC device behavior. In parallel, the coupling between kMC and CFD simulations will be achieved through machine learning models developed as surrogates for the computationally expensive KMC simulations. The existing workflow will be extended to include the additional photo(electro)chemical variables.
quality, originality, and innovation of the research proposal, with reference to the research program covered by this selection (up to 30 points)
relevance and significance of previous research activities and professional experience in relation to the research program (up to 10 points)
relevance of submitted publications with respect to the research program (up to 10 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 50 points)
EUROPE
Eligibility of fellows: country/ies of residence:
All
Eligibility of fellows: nationality/ies:
#J-18808-Ljbffr
Offer Description The work involves extending CatalyticFOAM, a reactive CFD framework, for photoelectrocatalysis (PEC) applications. The activity will include integrating light effects into the CFD model by solving the radiation transport equation (RTE) and implementing light attenuation across different materials according to the Lambert–Beer law, thus enabling an accurate description of PEC device behavior. In parallel, the coupling between kMC and CFD simulations will be achieved through machine learning models developed as surrogates for the computationally expensive KMC simulations. The existing workflow will be extended to include the additional photo(electro)chemical variables.
quality, originality, and innovation of the research proposal, with reference to the research program covered by this selection (up to 30 points)
relevance and significance of previous research activities and professional experience in relation to the research program (up to 10 points)
relevance of submitted publications with respect to the research program (up to 10 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 50 points)
EUROPE
Eligibility of fellows: country/ies of residence:
All
Eligibility of fellows: nationality/ies:
#J-18808-Ljbffr