Open Postdoc Position: ML and reactive flows (LB)

[Nikolaos Prasianakis]

Postdoctoral Fellow for machine learning enhanced multiscale reactive fluid dynamics

Link for the application
https://www.psi.ch/en/hr/job-opportunities/68769-postdoctoral-fellow-for-machine-learning-enhanced-multiscale-reactive

Your tasks
Conduct research in the area of cross-scale modelling of reactive multiphase flow (boiling) in complex heterogeneous materials, including conjugate heat transfer and surface reactivity (dissolution / precipitation) with application to nuclear reactor flows and CRUD formation
Use machine learning techniques to accelerate the numerical solvers and numerical analysis, the existing framework of the in-house scientific multiscale codes and machine learning tools will be the basis for further developments
2D/3D multiphase numerical simulations using the CPU and GPU capabilities of the in-house lattice-Boltzmann codes, as well as commerical software
Co-development of codes, including benchmarking and validation
Publication of results in journals and conferences

Your profile
We are looking for a team player able to work independently with:
PhD degree in Mechanical or Nuclear Engineering / Natural Sciences / Environmental Sciences
Experience in numerical simulations, fluid dynamics and multiphase flows (ideally with lattice Boltzmann method)
Strong experience in numerical modelling and fluid dynamics, as well as programming experience (C / Cuda / Python)
Very good command of English is required (spoken and written)

Please submit your application online by 25 March 2025 (including list of publications and addresses of referees) for the position as a Postdoctoral Fellow (index no. 4403-01).

[Author]

Posts