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

Faculty / Department
Faculty of Engineering

Salary
£43,003 – £56,345 per annum

Location / Campus
White City Campus – On site only

Contract Type / Work Pattern
Full time – Fixed term

Closing date
08-Dec-2024
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 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 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 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.

What you would be doing
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.
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 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).
Further information
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.

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 and why your expertise is relevant.
For informal queries candidates are welcome to contact Professor Alessio Lomuscio [email protected]

For queries regarding the application process contact Jamie Perrins: [email protected]

Available documents
Attached documents are available under links. Clicking a document link will initialize its download.
Download: Employee Benefits Booklet.Pdf
Download: Job Description Research Assistant Or Associate ENG03303.Pdf
 

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don’t hesitate to email us at [email protected]. We’re here to help.

About Imperial
Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture
We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.

Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.