Research Hardware Specialist

This is an exciting opportunity to join The London School of Economics and Political Science (LSE) as we establish cutting-edge central Research Computing capabilities to support world-leading research. As a globally renowned university specialising in social sciences, LSE is committed to delivering impactful research that addresses global challenges. Located in the vibrant heart of London, we offer an inclusive and dynamic environment where innovation and collaboration thrive.

The Research Hardware Specialist will join the Data and Technology Services Division (DTS), and will play a pivotal role in designing, maintaining and optimising our HPC infrastructure that accelerates research productivity and innovation. This role ensures that researchers have access to world-class computational resources, enabling ground-breaking discoveries and data-intensive research.

As part of a brand-new team, you will work in a highly collaborative environment alongside excellent leadership, shaping the future of research computing at LSE. Your expertise will be key in future-proofing our research hardware environment, ensuring high availability, scalability and security across HPC clusters; GPU acceleration, high-speed networking, and storage systems. Additionally, this role presents exciting opportunities to advance AI-driven research, integrating cutting-edge AI-optimised hardware, deep learning accelerators, and advanced machine learning frameworks into LSE’s research computing ecosystem.

We are looking for dynamic and experienced individuals to join our Research Computing team with:

• Strong technical expertise in high-performance computing (HPC), parallel computing frameworks (such as MPI, OpenMP) and GPU acceleration.
• Proven experience administering, configuring, and optimising HPC clusters and GPU systems (e.g. CUDA, OpenCL).
• Advanced Linux system administration skills, particularly for research computing environments.
• Experience with workload scheduling tools (Slurm, PBS, HTCondor) for efficient job management.
• Knowledge of high-speed networking technologies (e.g., InfiniBand) and parallel storage systems (e.g., Lustre, GPFS).
• Experience integrating Hybrid and cloud-based HPC solutions (AWS, Azure, Google Cloud).
• Scripting skills for automation and optimisation (e.g., Bash, Python, Ansible).

We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities.

For further information about the post, please see the how to apply document, job description and the person specification. If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email dts.admin@lse.ac.uk.

The closing date for receipt of applications is 28 September 2025 (23.59 UK time).