Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design, maintain, and optimise HPC infrastructure for groundbreaking research.
- Company: Join LSE, a globally renowned university in the heart of London, focused on impactful social science research.
- Benefits: Enjoy hybrid working, generous leave, and excellent training opportunities.
- Why this job: Be part of a dynamic team shaping the future of research computing and AI-driven innovation.
- Qualifications: Strong expertise in HPC, Linux administration, and experience with GPU systems required.
- Other info: Applications close on 29 May 2025; late applications won't be accepted.
The predicted salary is between 42679 - 51000 £ per year.
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.
The closing date for receipt of applications is 29 May 2025 (23.59 UK time). Regrettably, we are unable to accept any late applications.
Research Hardware Specialist employer: The London School of Economics and Political Science (LSE)
Contact Detail:
The London School of Economics and Political Science (LSE) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Hardware Specialist
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as HPC, GPU acceleration, and workload scheduling tools. Being able to discuss these topics confidently during an interview will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 2
Network with current or former employees of LSE, especially those in the Data and Technology Services Division. They can provide valuable insights into the team culture and expectations, which can help you tailor your approach when applying.
✨Tip Number 3
Prepare to showcase any relevant projects or experiences that highlight your skills in high-performance computing and system administration. Having concrete examples ready can set you apart from other candidates during interviews.
✨Tip Number 4
Stay updated on the latest trends in research computing and AI-driven technologies. Being knowledgeable about advancements in these areas will not only impress your interviewers but also show your commitment to continuous learning and innovation.
We think you need these skills to ace Research Hardware Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong technical expertise in high-performance computing, parallel computing frameworks, and GPU acceleration. Use specific examples from your experience that align with the requirements listed in the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your passion for research computing. Mention how your skills can contribute to LSE's mission of delivering impactful research and how you can help shape their new team.
Highlight Relevant Experience: In your application, emphasise any previous roles where you administered or optimised HPC clusters and GPU systems. Include details about your experience with workload scheduling tools and cloud-based HPC solutions, as these are crucial for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is essential for a role at a prestigious institution like LSE.
How to prepare for a job interview at The London School of Economics and Political Science (LSE)
✨Showcase Your Technical Expertise
Make sure to highlight your strong technical skills in high-performance computing (HPC) and parallel computing frameworks during the interview. Be prepared to discuss specific projects where you've administered or optimised HPC clusters and GPU systems, as this will demonstrate your hands-on experience.
✨Familiarise Yourself with LSE's Research Focus
Research The London School of Economics and Political Science and its current research initiatives. Understanding their focus on social sciences and how your role as a Research Hardware Specialist can contribute to impactful research will show your genuine interest in the position.
✨Prepare for Technical Questions
Expect technical questions related to Linux system administration, workload scheduling tools, and high-speed networking technologies. Brush up on these topics and be ready to provide examples of how you've used them in past roles to solve problems or improve efficiency.
✨Demonstrate Collaboration Skills
Since the role involves working in a highly collaborative environment, be prepared to discuss your experience working in teams. Share examples of how you've successfully collaborated with others to achieve common goals, especially in research computing contexts.
