Research Fellow in High-Performance Computing: The University of Leeds is offering a Research Fellow position in High-Performance Computing as part of an EPSRC-funded project aimed at enhancing our understanding of numerical features of floating-point hardware in datacentre GPUs and machine learning accelerators.
Designation
Research Fellow in High-Performance Computing
| Details | Information |
|---|---|
| Research Area | High-Performance Computing, Numerical Software |
| Location | Leeds – Main Campus |
| Eligibility/Qualification | PhD or equivalent in Computer Science or related field |
| Salary | £39,105 to £46,485 p.a. |
| Working Time | 37.5 hours per week |
| Post Type | Full Time |
| Contract Type | Fixed Term (Up to 3 years) |
Description
The project, titled “Informing Future Numerical Standards by Determining Features of Non-Standard Mathematical Hardware,” aims to automate existing manual methods for understanding numerical behavior in high-performance computing. The successful candidate will collaborate closely with Dr. Mantas Mikaitis, focusing on designing algorithms, preparing publications, and presenting research both nationally and internationally. The role will also involve mentoring undergraduate and postgraduate students and fostering academic collaborations.
Key activities include:
- Developing tools for comprehending floating-point arithmetic.
- Creating models of mathematical hardware.
- Designing software wrappers for various hardware devices such as NVIDIA, AMD, and Intel accelerators.
How to Apply
Interested candidates should complete the online application form available on the University of Leeds job portal. Ensure to include a detailed CV and cover letter addressing the key responsibilities and your qualifications for the role.
Last Date for Apply
Applications must be submitted by Tuesday, 14 January 2025.
For more information or queries, please contact Dr. Mantas Mikaitis at M.Mikaitis@leeds.ac.uk.
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