Number of places: 1
Category: RENG 6
Workplace: Barcelona
Salary (gross): According to the CIMNE salary scale.
Weekly working hours: 40h
Functions to be developed:
The position is funded by the project AMBBOS, Advanced computational Mathematics for Breeding Blanket Optimal deSign, a 3-year Spanish project focused on the development of numerical methods for the optimal design of breading blankets (BB) in fusion reactors, a key component of fusion reactors.
The selected candidate will be responsible for the development of unfitted finite elements algorithms that permit to deal with complex geometries, as required by the application. In particular, the design, analysis and implementation of new methods for the automatic generation of background meshes that accurately capture physical phenomena generated near surfaces is expected.
The developed methods are expected to be applied to the numerical simulation incompressible and compressible flows possibly with magnetohydrodynamic coupling. The main outcome of this research line is the accurate prediction of boundary layer flows in complex geometries and relevant quantities of interest derived from them (drag, pressure loss, etc.).
Required skills:
Other valued skills (not mandatory):
Qualification system:
The requisites and merits will be evaluated with a maximum note of 100 points. Such maximal note will be obtained summing up the following points:
Candidates must complete the "Application Form" form on our website, indicating the reference of the vacancy and attaching the required documents.
The deadline for registration to the offer ends on October 24th, 2023 at 12 noon.
The preselected candidates may be requested to send the documentation required in the "Requirements" and "Merits" sections, duly scanned, and may be called to go through selection tests (which might be of eliminatory nature) and / or personal interviews.
Proyecto PID2021-123611OB-I00 financiado por MCIN/ AEI /10.13039/501100011033/ y por FEDER Una manera de hacer Europa
Proyecto PID2021-123611OB-I00 Financiado por: