|Salary:||£32,217 to £44,388 per annum, inclusive of London Allowance. The appointment will be on UCL Grade 7|
|Placed On:||12th October 2021|
|Closes:||22nd October 2021|
Contract/ Fixed Term: This role is funded for 12 months in the first instance
Salary: £32,217 - £44,388 per annum, inclusive of London Allowance. The appointment will be on UCL Grade 7.
To work with Prof. Stephen Hailes; (UCL Department of Computer Science) and Dr. Nilufer Tuptuk (UCL Department of Security and Crime Science) to develop and deliver project tasks for Early Anomaly Detection for Securing IoT in Industrial Automation (ELLIOTT) and Processes for Securing for Water Resource Management Systems (PSWaRMS) projects at the PETRAS Centre.
Funded by UK Research and Innovation through the Engineering and Physical Sciences Research Council (EPSRC) as part of the Securing Digital Technologies at the Periphery (SDTaP) programme, the PETRAS (privacy, ethics, trust, reliability, acceptability, and security) National Centre of Excellence for IoT Systems Cybersecurity provides national capability enabling the UK to become a world-leader in IoT and associated systems security.
The successful candidate will be based at the UCL Department of Computer Science, but will work closely with researchers from PETRAS academic community, industrial, and governmental stakeholders to conduct security research to prevent, detect and mitigate attacks against cyber-physical systems.
Duties will include contributing to development of attack prevention and detection models using Machine Learning/Deep Learning; testing and evaluating effectiveness of developed models against realistic systems using testbeds; developing a proactive AI-driven situational awareness framework; and modelling security.
A relevant PhD in Information Security/Artificial Intelligence/Machine Learning is essential for appointment at Research Fellow level (Grade 7). Candidates are expected to demonstrate a publication record appropriate to their level of experience in their research area. Understanding of common cyber-attack types, and detection / prevention methods for IoT and industrial control is desirable as well as experience in researching or developing security solutions for IoT-based cyber-physical systems.
Exceptional candidates with an MSc degree in Information Security/Artificial Intelligence/ Machine Learning plus substantial relevant experience will be considered at Research Assistant level (Grade 6B).
Highly-motivated, strong candidates in relevant fields that have a keen desire and willingness to carry out cybersecurity research are encouraged to apply.
Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.
If you have any queries regarding the vacancy or the application process, please contact Prof. Stephen Hailes and Dr. Nilufer Tuptuk or email, firstname.lastname@example.org.
Latest time for the submission of applications: 23:59.
We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level.
UCL Taking Action for Equality
Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.
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