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Job at University of Leeds in Leeds, West Yorkshire, LS2 Check similar jobs near me

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Research Fellow in Scientific Computing

Job at University of Leeds in Leeds, West Yorkshire, LS2

This Research Fellow position in Scientific Computing, with a specific focus on Numerical Linear Algebra and High-Performance Computing (HPC), presents a compelling opportunity for individuals passionate about advancing the frontiers of computational science and engineering. This role is embedded within an EPSRC-funded project, "Mixed Precision in Krylov Subspace Methods (MPiK)," aiming to revolutionize the energy efficiency of supercomputing through innovative algorithm design.

For aspiring researchers and developers, this position offers a unique chance to work on cutting-edge problems that have significant real-world impact. If you are driven by the challenge of developing numerical algorithms or high-performance software for scientific computing, and possess expertise in numerical linear algebra or experience with large-scale computing, this role is designed to help you expand your skill set and contribute meaningfully.

Key Advantages for Candidates:

  • Cutting-Edge Research: Engage in the design and analysis of novel mixed-precision algorithms tailored for next-generation supercomputing platforms. This is an opportunity to be at the forefront of scientific innovation.
  • Practical Implementation: Move beyond theoretical development by implementing your algorithms on state-of-the-art HPC systems, including accelerator-based architectures. This hands-on experience is invaluable for career progression in HPC.
  • International Collaboration: Work closely with leading international partners, including the University of Tennessee and Valencia Polytechnic University, to integrate your developed codes into widely adopted HPC libraries such as MAGMA, SLATE, and SLEPc. This exposure to diverse research environments and established software ecosystems is a significant career booster.
  • Impactful Application: Collaborate with Environment and Climate Change Canada (ECCC) to integrate these new codes into next-generation weather and climate models. This direct contribution to critical environmental research offers a profound sense of purpose.
  • Global Networking and Visibility: Undertake brief visits to international partners, with opportunities to publish in leading journals and present at major conferences. This will enhance your professional profile and build a robust network within the scientific community.
  • Flexible Working: The role welcomes discussions around flexible working arrangements, promoting a healthy work-life balance.
  • Career Development & Benefits: Beyond the stimulating research, the position offers a generous holiday allowance, a robust pension scheme with significant university contribution, access to state-of-the-art health and wellbeing facilities, and extensive personal development opportunities.

Key Considerations for Your Career Path:

  • Specialized Expertise: This role demands a strong foundation in numerical linear algebra and a keen interest in high-performance computing. Candidates who can demonstrate a passion for developing efficient numerical solutions for large-scale problems will find this opportunity particularly rewarding.
  • Interdisciplinary Engagement: The project bridges theoretical algorithm development with practical application in climate modeling. Candidates who are comfortable collaborating across disciplines and translating complex computational concepts into actionable solutions will thrive.
  • Global Mobility: The opportunity for brief visits to international partners is a significant advantage, offering exposure to different research cultures and fostering global collaboration skills. Potential candidates should consider their interest and readiness for such international engagement.
  • Visa Sponsorship: The position may be suitable for sponsorship under the Skilled Worker visa route, and eligibility under the Global Talent visa will also be considered for research and academic posts. This is an important factor for international applicants to assess.

This Research Fellow position is more than just a job; it's an investment in your future as a leading computational scientist. It offers a dynamic environment to hone your skills, collaborate with global experts, and contribute to solutions that will shape the future of scientific computing and address critical global challenges.

ID 1251114 Sectors:
in Leeds, West Yorkshire, England, LS2

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