PhD Openings

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Postdoc Openings

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Research Assistant/Associate in Event-based Complex Event Forecasting

We are recruiting two Research Assistants/Associates in Event-based Complex Event Forecasting.

Further information on the job and an online application form can be found below.

  • Salary range: £43,003 - £56,345 per annum*
  • Closing date: 08-Dec-2024
  • Location: White City Campus - On site only
  • Contract Type: Full time - Fixed term

Job summary

The Department of Computing at Imperial College London is a leading department of computer science, with a strong international presence in verification and artificial intelligence.

We are seeking to hire an outstanding Research Assistant(s)/Associate(s) to join the Safe Artificial Intelligence Lab (SAIL) group, led by Prof. Alessio Lomuscio. SAIL 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.

Duties and responsibilities

The successful candidates will join the EU-funded project EvenFlow. 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 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.

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, 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.

Further information

The post is offered on a full-time, fixed-term contract.

How to apply

For further details on this opportunity visit this link.

In addition to completing the online application, the candidate 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 and why your expertise is relevant.

We will be reviewing applications on a rolling basis and reserve the right to close the advert early if the position is filled. It is advisable that you submit your application as early as possible.

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

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.