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Ansök senast: 2024-12-07

Research Assistant or Research Associate in Event-based Complex Event Forecasting

Publicerad 2024-10-08

We are seeking to hire an outstanding Research Assistant/Associate to join the Safe Artificial Intelligence Lab (SAIL) group, led by Prof. Alessio Lomuscio. The SAIL group is a friendly, vibrant, multi-national team working on various aspects of safe Artificial Intelligence, including verification and robustification of machine learning systems and autonomous systems. The group also has strong links with the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence and US institutions.

The post will be based in the Department of Computing at Imperial College London at the White City Campus. The Department of Computing is a leading department of Computer Science in the UK and the world and has consistently been awarded the highest research rating. In the 2021 REF assessment, the Department claimed the top spot for computer science and informatics. In the latest QS World University Rankings, Imperial College London was recognised as the top university in Europe and the top 2 globally. Overall, Imperial College London ranked first in the UK for research outputs, first in the UK for research environment, and first for research impact among Russell Group universities.


The role will focus on verification, robustification and adversarial attacks for event-based systems (images, videos, or tabular) based on machine-learning, including transformer-based systems, and trained with neurosymbolic methods. 

Main Duties:

  • Verification and analysis of feed-forward, time-series, transformer-based and other neural networks as used in event recognition systems.
  • Machine Learning with particular emphasis on robustness.

  • Research Associate: Hold a PhD in Computing or Engineering, or a closely related discipline, or equivalent research, industrial or commercial experience*
  • Research Assistant: A strong Master’s degree in an area pertinent to the subject area, . Computing or Engineering.
  • Either a strong background in verification of neural networks, and adversarial search, OR a strong background in machine learning with particular emphasis to robustness.
  • A strong publication track record in relevant conferences or journals.
  • Please see job description for a full list of requirements.

    *Candidates who not yet been officially awarded their PhD will be hired at Research Assistant level: salary scale £43,003 - £46,297 per annum.


  • This role is supported by AI Futures Grants, a UK Government scheme designed to help the next generation of AI leaders meet the costs of relocating to the UK. AI Futures Grants provide financial support to reimburse relocation costs such as visa fees, the immigration health surcharge and travel/subsistence expenses. Successful candidates for this role may be able to get up to £10,000 to meet relocations costs, subject to terms and conditions.
  • The opportunity to continue your career at a world-leading institution.
  • Sector-leading salary and remuneration package (including 38 days off a year).