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Research Fellow or Research Assistant in HW Accelerator

Engineering & Technology - UK Jobs
0

Ref: 22/109872

Duration: Fixed Term until 30 April 2023

Hours: Full-time

Research Assistant – £28,756 – £33,309 per annum                

Research Fellow – £34,304 – £36,382 per annum

The School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen’s University Belfast, is currently seeking to appoint an exceptional candidate to the post of Research Fellow or Research Assistant.

The successful candidate will actively contribute to a major £5M collaborative project between NVIDIA R&D labs and QUB’s strategic Centre for Secure Information Technology (CSIT) and will engage in challenging cyber security related research projects to enhance Data Processing Unit (DPU) based AI centric Datacentre security, investigate DPU centric threat detection techniques, and benchmark hardware accelerated DPU use-cases.

This is an exciting time for the right candidate to join our team and the post holder is expected to undertake novel research and actively participate in the development of Proof-of-Concept demonstrators and performance benchmarking in close collaboration with NVIDIA R&D labs staff.

The successful candidate must have and your CV/Cover letter (or application form) should clearly demonstrate you have:

Research Assistant (AC1):

2:1 Honours degree in Computer Science (CS) / Electrical and Electronic Engineering (EEE) / Mathematics (or related discipline)

At least 1 years demonstrable research experience of:

  • FPGA based hardware prototyping skills (preferably in Verilog or VHDL)
  • FPGA based hardware design / prototyping
  • Automata/graph theory (mathematics).

Research Fellow (AC2):

(In addition to above)

Have, or be about to obtain a PhD degree in CS / EEE / Mathematics

At least 3 years demonstrable experience of:

  • CPU/GPU/ SIMD architectures, hardware accelerators, AI, ML, Automata Theory (Mathematics)
  • Undertaking and successfully delivering FPGA based hardware design using Verilog/VHDL
  • Developing/prototyping GPU/CPU architectures, SIMD data-path, and other custom-purpose computing architectures
  • Undertaking research requiring micro-architectures for custom computing (crypto, ML, network, video, etc.)
  • Undertaking research involving automata and graph theory.

Please note the above are not an exhaustive list.

Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.

Key Dates

Closing Date: 13/06/2022

Anticipated Interview Date: 24/06/2022

Further Information

Information about the School can be found at: https://www.qub.ac.uk/schools/eeecs/

Information about the project please visit: https://www.qub.ac.uk/News/Allnews/2022/QueensUniversityandNVIDIAtoinvest54millioninRDproject.html

At Queen’s our people are at the heart of everything we do. As a staff member you will become part of a vibrant organisational culture, which will provide you with the opportunity to achieve your full potential and enhance your career through a continuous focus on learning and development.

Further information on our attractive package can be found at: https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/

Queen’s University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing staff networks such as iRise (Race) and PRISM (LGBTQ+) which help us progress equality.

We also subscribe to Equality Charter Marks such as the Diversity Charter Mark NI in addition to Athena Swan. For further information on our commitment to Equality, Diversity and Inclusion, please visit: www.qub.ac.uk/diversity; https://www.qub.ac.uk/sites/QueensGenderInitiative/ and www.qub.ac.uk/sites/StaffGateway/StaffNetworks/

For further information about the role including the essential and desirable criteria please visit www.qub.ac.uk/jobs or click to Apply.

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