Phd Student

**Job Reference**:

- 856_24_CASE_LSCFD_R1**Position**:

- PhD student - algorithms for detailed characterization and feature extraction (R1)**Closing Date**:

- Tuesday, 31 December, 2024**Reference**: 856_24_CASE_LSCFD_R1**Job title**: PhD student - algorithms for detailed characterization and feature extraction (R1)**About BSC**
- The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.

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We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.**Context And Mission**
- The quest for carbon-neutral aviation propels us toward uncharted technological frontiers. In ERC Synergy TRANSDIFFUSE, we present an ambitious program to develop an AI-driven model that may revolutionize propulsion technologies. As a synergistic consortium, we unite the numerical modelling prowess of UPM team, the high-fidelity computational capabilities of LS/CFD group at BSC, and Purdue University experimental ingenuity.

TRANSDIFFUSE aims to develop new tools related to clean propulsion, specifically an AI-driven model called FluidGPT. In doing so, we expect to enable major advancements to the aeronautical and power generation sectors, including, for example, hydrogen pressure gain combustion (PGC) engines, which are compact, lightweight, high-efficiency turbines. In initiating FluidGPT, we aim to overcome challenges like those facing PGC, by exploiting the thing that has made compact turbomachinery so difficult to design: the troublesome transonic flows propelled from the combustor. With our model we aim to control and manipulate those transonic flows.

computation, modelling, and experimental disciplines, ensuring that insights gleaned from each area amplify the impact and accuracy of the others.

The present PhD proposal is contained in the Phase I researching in algorithms for detailed characterization and feature extraction including development of methods to carry out eigenmode analysis taking advantage of novel GPU platforms.**Key Duties**
- To develop feature extraction for massive data sets accelerated by means of GPU
- To assess the developed algorithms in TRANSDIFFUSE basic test cases
- To participate in the rest of the CFD activities of the LS/CFD team in CASE.
- To develop highly scalable eigenmode analysis algorithms

**Requirements**:

- Education
- MSc in computational fluid dynamics
- Essential Knowledge and Professional Experience
- Experience in CFD development ( at least 1 year)
- Knowledge in large eddy simulation models ( at least 1 year)
- Experience in large-scale simulation at high speed (wall models for LES, complex mesh generation, industrial simulations, etc. ) ( at least 1 year)
- Understanding of HPC clusters at a user level and experience programming MPI ( at least 1 year).
- Good programming level (python, C, Fortran, C++, etc.) ( at least 1 year)
- Additional Knowledge and Professional Experience
- Good writing and oral skills (English is a must)
- Competences
- CFD development knowledge
- Experience in large-scale CFD computations (meshing, running in HPC systems and post-processing large data sets)
- Turbulence modelling (LES and RANS modelling, including wall modelling)
- Experience in European projects

**Conditions**
- The position will be located at BSC within the CASE Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Starting date: 1 January 2025

**Applications procedure and process**
- A full CV in English including contact details
- A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered

At BSC we are seeking continuous improvement in our recru