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Research Hardware Specialist

The London School of Economics and Political Science (LSE)

London

Hybrid

GBP 55,000

Full time

6 days ago
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Job summary

An established industry player is seeking a Research Hardware Specialist to enhance its cutting-edge Research Computing capabilities. This role involves designing and optimizing high-performance computing (HPC) infrastructure to support groundbreaking research. You will be part of a dynamic team, ensuring researchers have access to world-class resources, while also integrating advanced AI technologies. With a commitment to innovation and collaboration, this position offers a unique opportunity to shape the future of research computing in a vibrant environment. If you are passionate about technology and research, this role is perfect for you.

Benefits

Occupational Pension Scheme
Generous Annual Leave
Hybrid Working
Training and Development Opportunities

Qualifications

  • Strong technical expertise in HPC and parallel computing frameworks.
  • Experience with workload scheduling tools for efficient job management.
  • Advanced Linux system administration skills for research computing.

Responsibilities

  • Design, maintain, and optimize HPC infrastructure for research.
  • Ensure researchers have access to world-class computational resources.
  • Integrate AI-driven research and advanced machine learning frameworks.

Skills

High-Performance Computing (HPC)
Parallel Computing Frameworks (MPI, OpenMP)
GPU Acceleration (CUDA, OpenCL)
Linux System Administration
Workload Scheduling Tools (Slurm, PBS, HTCondor)
High-Speed Networking Technologies (InfiniBand)
Hybrid and Cloud-based HPC Solutions (AWS, Azure, Google Cloud)
Scripting (Bash, Python, Ansible)

Job description

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Join to apply for the Research Hardware Specialist role at The London School of Economics and Political Science (LSE)

LSE is committed to building a diverse, equitable and truly inclusive university

Data and Technology Services

Research Hardware Specialist

Salary from £42,679 to £51,000 pa inclusive with potential to progress to £54,730 pa inclusive of London allowance

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 groundbreaking 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 .

To apply for this post, please go to www.jobs.lse.ac.uk . 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 29 May 2025 (23.59 UK time). Regrettably, we are unable to accept any late applications.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research, Analyst, and Information Technology
  • Industries
    Higher Education

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