Job Information
- Organisation/Company
- KINGS COLLEGE LONDON
- Research Field
- Other
- Researcher Profile
- Recognised Researcher (R2)Established Researcher (R3)
- Country
- United Kingdom
- Application Deadline
- Type of Contract
- Other
- Job Status
- Full-time
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
The Department of Informatics is looking to appoint a Research Associate in Trustworthy Machine Learning for Malware Detection, to work on the EPSRC project XAdv: Robust Explanations for Malware Detection, at the intersection of AI and Systems Security, led by Dr. Fabio Pierazzi (PI).
The Role
The candidate will be responsible for leading the co-design and development of novel solutions for robust explanations for malware detection, in the presence of concept drift and adversarial attacks.
They will also be expected to lead top security/ML publications (e.g., USENIX Security, S&P, TOPS, ICML, ICLR, AISec, DLSP) under the guidance of Dr. Fabio Pierazzi, and the advisory team as required. They will develop prototypes and code frameworks (e.g., in Python) for large-scale experimental evaluations of their research ideas, and co-lead also user studies and methodologies to verify accuracy of the explanation methods.
The candidate will become part of the Cybersecurity Group (CYS) in Informatics at King's (https://www.kcl.ac.uk/research/cys), and work more closely with the team led by Dr. Fabio Pierazzi (https://fabio.pierazzi.com/team/), currently consisting of 6 Ph.D. students. The wider team of collaborators of this project, including industrial partners such as NCC Group and Avast (now Gen Digital), and universities such as UIUC, TU Berlin, and University of Cagliari, will ensure excellent development opportunities throughout the project. The researcher will be allowed to support the supervision of PhD, MSc and BSc students associated with the project, to increase their competitiveness for future academic and industry roles.
For further information about the Department of Informatics at King’s, please see https://nms.kcl.ac.uk/luc.moreau/informatics/overview.pdf.
This post will be offered on an a fixed-term contract for 18 months*, not exceeding 30th September 2026 which is the end date of the grant.
Anticipated June/July 2024 start
This is a full-time post – 100% full time equivalent
* There is potential to extend, depending on funding availability and the grant end date (30th September 2026).
Requirements
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- KINGS COLLEGE LONDON
- Country
- United Kingdom
- City
- London (Greater) (GB)
Where to apply
- Website
Contact
- City
- London (Greater) (GB)