Research Fellow in Hardware-Accelerated AI Custom Computing
Join Queen’s University Belfast’s Centre for Secure Information Technology to advance RISC-V-based automotive hardware platforms for software-defined vehicles.
Best for:Best for postdoctoral researchers with expertise in hardware/FPGA design, RISC-V architectures, and custom computing for AI applications, seeking to contribute to EU-funded automotive hardware innovation.
Overview
This Research Fellow position at Queen’s University Belfast focuses on cutting-edge research in hardware-accelerated custom computing, contributing to the EU-funded RIGOLETTO project. The role involves developing next-generation, open RISC-V automotive hardware platforms for software-defined vehicles, collaborating with national and international academic and industrial partners. The successful candidate will engage in challenging research projects within the strategic Centre for Secure Information Technology (CSIT), leveraging expertise in FPGA design, CPU architectures, and custom computing solutions. The position offers a dynamic environment for impactful research and innovation in hardware acceleration for AI applications.
What you'll do
- Develop and prototype next-generation RISC-V-based automotive hardware platforms for software-defined vehicles within the RIGOLETTO project.
- Conduct research on hardware-accelerated custom computing solutions for AI applications, collaborating with academic and industrial partners.
- Design and implement FPGA-based hardware accelerators for AI workloads, optimizing performance and energy efficiency.
- Contribute to the development of open-source hardware tools and frameworks for automotive computing.
- Publish research findings in high-impact conferences and journals, and present results at international events.
- Engage in knowledge transfer activities with industry partners to translate research outcomes into practical applications.
- Support the strategic goals of Queen’s University Belfast’s Centre for Secure Information Technology (CSIT).
Requirements
Degree required: PhD in Electrical and Electronic Engineering, Computer Science, or a related discipline (or about to obtain it)
Language: English (proficiency required for academic collaboration and reporting)
Instruction: English
- Proven expertise in hardware/FPGA design and prototyping
- Strong understanding of CPU architectures and custom computing principles
- Demonstrable research experience in hardware-accelerated custom computing or RISC-V design
- Experience collaborating with academic and industrial partners on hardware projects
- Proficiency in relevant hardware design tools and simulation environments
- No specific nationality or residency restrictions mentioned
- No age or prior experience caps specified
Funding & terms
How to apply
Deadline: 2026-11-10
Applicants must submit their CV, a cover letter demonstrating how they meet the essential criteria, and any relevant supporting documents through the Queen’s University Belfast recruitment portal. Ensure your application clearly evidences your qualifications and experience in hardware/FPGA design and custom computing. Further details on the application process can be found on the university’s website.
- CV
- Cover letter detailing how you meet the essential criteria
- Proof of PhD qualification (if not yet obtained, a confirmation of impending award)
- Academic transcripts and certificates
- References (if required)
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