IACR News item: 10 April 2023
Centre for Secure Information Technologies (CSIT), Queen’s University Belfast, UK
Job Posting
Applications are invited for 6 Research Fellow posts to perform research in the area of AI-enabled cybersecurity. The posts are associated with the newly-created Cyber-AI Technologies Hub at CSIT, which is a collaboration with cyber security companies on projects in AI-enabled cyber security. The Cyber-AI Technologies Hub is a physical environment where companies and academia are co-located to collaborate on the advancement and demonstration of AI and cyber security.
Research Fellows will have the opportunity to advance research in areas such as: threat intelligence and monitoring, ICS malware detection and network intrusion detection, device trust, hardware/embedded systems security, security and verification of AI and threat prediction and prevention.
The successful candidates must have obtained, or be about to obtain, a PhD in engineering or physical sciences. At least 3 years’ high quality research experience in cybersecurity, and/or machine learning/AI, as evidenced by a strong track record of publications in leading journals and conferences in relevant areas.
Closing Date: 17/04/2023
Research Fellows will have the opportunity to advance research in areas such as: threat intelligence and monitoring, ICS malware detection and network intrusion detection, device trust, hardware/embedded systems security, security and verification of AI and threat prediction and prevention.
The successful candidates must have obtained, or be about to obtain, a PhD in engineering or physical sciences. At least 3 years’ high quality research experience in cybersecurity, and/or machine learning/AI, as evidenced by a strong track record of publications in leading journals and conferences in relevant areas.
Closing Date: 17/04/2023
Closing date for applications:
Contact: Paul Miller (p.miller@qub.ac.uk)
More information: https://hrwebapp.qub.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=411415IzIk&WVID=6273090Lgx&LANG=USA
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