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

📌 Phd Student (Barcelona)
🏢 Barcelona Supercomputing Center
📍 Barcelona