Research Fellow in Hardware Trojan Detection
Application closing date: 08/02/2021
Salary: £33,797 to £38,017 per annum
Job category/type: Research
This exciting post-doctoral position will be based at the Centre for Secure Information Technology (CSIT), which is part of our Global Research Institute of Electronics, Communications and Information Technology (ECIT). ECIT is one of four Global Research Institutes (GRIs) at Queen’s, which represent world-class research at the University, and are priority areas for growth and investment. CSIT is recognised by NCSC as an Academic Centre of Excellence (ACE) in Cyber Security Research, and is also host to the UK Research Institute in Secure Hardware and Embedded Systems (RISE). An important aspect of the CSIT research environment is its strong links to industry. Over 20 industrial partners, large global companies and SMEs, have committed to supporting the centre through the provision of funding and market intelligence.
Applications are invited for a 2 year Post-Doctoral Research Fellow position to conduct research into the application of advanced machine learning techniques for use in hardware Trojan detection, as part of the EPSRC-funded DeepSecurity project. This project is a core research project of the UK Research Institute in Secure Hardware and Embedded Systems (RISE). This post has a funding end date of 31 March 2023.
The successful candidate must have:
- 2:1 Honours degree in Electrical and Electronic Engineering/Computer Science/Mathematics (or a related discipline)
- Have, or be about to obtain, a PhD in a relevant subject
- At least 3 years recent relevant research experience in FPGA/ASIC/Embedded systems design
- Evidence of a strong publication record commensurate with career stage and experience
For full job details and criteria please see the Candidate Information link on our website by clicking ‘apply’. You must clearly demonstrate how you meet the criteria when you submit your application. For further information please contact Resourcing Team, Queen's University Belfast, BT7 1NN.Telephone (028) 9097 3044 or email firstname.lastname@example.org.
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However, our employment monitoring data tells us that individuals from Black, Asian and Minority Ethnic (BAME) communities, people with a disability and those who identify as LGBT+ are currently under-represented at the University. Also male protestants are currently under-represented in this category of work. As such, we particularly welcome applications from these individuals.
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