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

About the role

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 & 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 successful candidates will join the EU-funded project EvenFlow (https://evenflow-project.eu/). The overarching aim of the project is to develop methods to assess the reliability and safety of neurosymbolic systems aimed at detecting simple and complex events.

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 & 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, & first for research impact among Russell Group universities.

What you would be doing

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

Main Duties:

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

What we are looking for

• 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, i.e. Computing or Engineering.
• Either a strong background in verification of neural networks, & 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.

What we can offer you

• 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 & 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 & remuneration package (including 38 days off a year).

Further information

Full-time, Fixed term to start ASAP until 30/09/2025.

in addition to completing the online application candidates should attach: 

• A full CV, with a list of all publications
• A 1-page research statement indicating what you see are interesting research issues relating to the above post & why your expertise is relevant.

For informal queries candidates are welcome to contact:

Professor Alessio Lomuscio a.lomuscio@imperial.ac.uk

For queries regarding the application process contact:

Jamie Perrins: j.perrins@imperial.ac.uk               

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