PhD in Computational Storage for Scientific Computing

1000scholars; Rennes; On-site; EUR 22,000 - 32,000; Full time

Benefits offered by this job

Coaching and mentoring

Job summary

KerData at Inria Rennes invites applications for a PhD thesis in computational storage for scientific computing and AI. The project emphasises ontology development, empirical evaluation, and scalable modeling across distributed platforms, with strong collaboration with international partners.

You will join a small, international team and work within top-tier HPC research environments, benefiting from personalized coaching and access to world-class hardware and software stacks for rigorous

Qualifications

• Excellent academic record in computer science.
• Strong programming skills in Python and C/C++.
• Experience with distributed systems and data management.
• Familiarity with containerized environments (Docker, Kubernetes, Apptainer).
• Very good communication skills in English.

Responsibilities

• Survey and ontology work across distributed computational storage for scientific computing and AI.
• Develop and evaluate testbeds and modeling environments for large-scale experiments.
• Contribute to methodology for performance extrapolation and building blocks validation.
• Collaborate with international partners and publish research results.

Skills

Python

C/C++

Distributed systems

Research

English communication

Containerization

Education

Pursuing PhD in Computer Science

Tools

Docker

Podman

Apptainer

Kubernetes

Job description

KerData at Inria Rennes invites applications for a PhD thesis in computational storage for scientific computing and AI. The project emphasises ontology development, empirical evaluation, and scalable modeling across distributed platforms, with strong collaboration with international partners.

You will join a small, international team and work within top-tier HPC research environments, benefiting from personalized coaching and access to world-class hardware and software stacks for rigorous