Phd Student - Algorithms For Flow Sensibilty Analyisis Using Gpu Supercomputers (Madrid)

Phd Student - Algorithms For Flow Sensibilty Analyisis Using Gpu Supercomputers (Madrid)

30 jul
|
Barcelona Supercomputing Center
|
Madrid

30 jul

Barcelona Supercomputing Center

Madrid

Overview Position: PhD student - algorithms for flow sensitivity analysis using GPU supercomputers (R1)

Reference: 295_26_CASE_LSCFD_R1

Starting Date: 01/08/2026

Closing Date: Wednesday, 15 July, ****

Context and Mission The quest for carbon-neutral aviation propels us toward uncharted technological frontiers. TRANSDIFFUSE is an ERC Synergy project to develop an AI-driven model called FluidGPT for clean propulsion and advanced flow control. The research blends numerical modelling, high-fidelity CFD, and experimental work across collaborating institutions.

Key Duties

Develop novel algorithms for flow sensitivity using large data sets accelerated by GPUs.

Assess the developed algorithms in TRANSDIFFUSE basic test cases.

Participate in the CFD activities of the LS/CFD team in CASE.

Develop scalable algebraic libraries and frameworks for GPUs.

Requirements Education

MSc in computational fluid dynamics, mathematics or computer science.

Essential Knowledge And Professional Experience

Experience in computational mechanics development (at least 1 year).

Understanding of HPC clusters 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 level in English.





Computational mechanics development knowledge.

Experience in GPU programming (coding, running on HPC systems, etc.).

Experience with National or European projects.

Experience with PETSC or similar libraries.

Competences

Ability to work effectively both in a team and independently.

Excellent interpersonal skills in a multicultural, international environment.

Conditions

Location: BSC within the CASE Department.

Full-time contract (35h/week) with a stimulating environment and state-of-the-art infrastructure.

Versátil working hours, extensive training plan, restaurant tickets, private health insurance, relocation support.

Duration: predoctoral contract.

Holidays: 22 days + 6 personal days + 24th and 31st December per the collective agreement.

Salary: competitive and aligned with qualifications and cost of living in Barcelona.

Starting date: 01/08/2026.

Applications procedure

All applications must be submitted via the BSC website and include:

A full CV in English with contact details.

A cover/motivation letter in English specifying the area and topics of interest, with two references.

Data policy and equal opportunity statements apply as part of the recruitment process.

📌 Phd Student - Algorithms For Flow Sensibilty Analyisis Using Gpu Supercomputers (Madrid)
🏢 Barcelona Supercomputing Center
📍 Madrid

Postulate a este anuncio

Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.

Suscribete a esta alerta:

Recibe por email las nuevas ofertas de trabajo para: phd student - algorithms for flow sensibilty analyisis using gpu supercomputers (madrid) / madrid

Suscribete a esta alerta:

Recibe por email las nuevas ofertas de trabajo para: phd student - algorithms for flow sensibilty analyisis using gpu supercomputers (madrid) / madrid