2 x Research Assistant/Associate in Security of ML-based Personal Assistants
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 2 outstanding Research Assistant(s)/Associate(s) to join the Verification of Autonomous Systems (VAS) group, led by Prof. Alessio Lomuscio. The VAS group is a friendly, vibrant, multi-national team working on various aspects of safe...
Job listing information
- Reference ENG02810
- Date posted 11 October 2023
- Closing date 8 November 2023
We are seeking to hire 2 outstanding Research Assistant(s)/Associate(s) to join the Verification of Autonomous Systems (VAS) group, led by Prof. Alessio Lomuscio. The VAS 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.
Duties and responsibilities
The successful candidates will join the UKRI-funded project “Secure AI Assistants”, jointly run by King’s College London and Imperial College London. The overarching aim of the project is to develop various methods to assess the security of personal AI assistants, including identifying unwanted aspects of the system so that they can be rectified.
The role will focus on verification, robustification and adversarial attacks for AI assistants based on machine-learning, including transformer-based systems. Familiarity with existing methods for verification of neural networks, e.g., MILP-based methods, SAT-based methods, abstraction, and optimization is highly desirable, as well as methods for adversarial search and various forms of learning. Previous experience with neural networks used in NLP such as transformers or LSTM is advantageous but candidates demonstrating an ability and willingness to become familiar with these topics and able to contribute to them will also be considered.
- Hold (or shortly expect to receive) a PhD degree in Computer Science or a related field *
- 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 good publication record in relevant conferences or journals.
- Excellent oral and written communication skills as well as good social skills.
- Ability to prioritize work to meet deadlines, and to work with minimal supervision.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £40,694 to £43,888 per annum.
in addition to completing the online application candidate should attach.
- A full CV
- Up to 1 page statement explaining what interesting issues the candidate sees in the above post and the reasons 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.
For informal queries candidates are welcome to contact Professor Alessio Lomuscio firstname.lastname@example.org
For queries regarding the application process contact Jamie Perrins: email@example.com
About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are:
In addition to the above, employees are required to observe and comply with all College policies and regulations.
We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
For technical issues when applying online please email firstname.lastname@example.org.
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