Research Assistant / Research Associate in Argumentation-based Explainable AI
Job summary
This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct world-leading research on argumentation-based deep interactive explanations for data-centric methods, under the direction of Prof Francesca Toni, within the ERC Advanced Project ADIX (Argumentation-based Deep Interactive eXplanations). It will focus on building argumentation-based explainable machine learning models built from data, possibly...
Job listing information
- Reference ENG02505
- Date posted 10 February 2023
- Closing date 12 March 2023
Job description
Job summary
This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct world-leading research on argumentation-based deep interactive explanations for data-centric methods, under the direction of Prof Francesca Toni, within the ERC Advanced Project ADIX (Argumentation-based Deep Interactive eXplanations). It will focus on building argumentation-based explainable machine learning models built from data, possibly based on twinning argumentation-based models with stand-alone, data-driven models and/or defining machine learning models by reasoning argumentatively with data, in such a way that humans can naturally interact with the resulting explainable AI solutions to understand and improve them. The successful candidate will be expected to interact with other researchers in ADIX and with external collaborators in legal settings.
The post is based in the Department of Computing at Imperial College London. This is a leading department of Computer Science among UK Universities. The department has achieved top results in each of the research assessment exercises undertaken by the Higher Education Funding Council for England. The successful applicant will join the CLArg research group, led by Prof Toni: this is a friendly, vibrant, multi-national team working on various aspects of argumentation-based XAI (for further information on the group and related projects, see: https://clarg.doc.ic.ac.uk).
Duties and responsibilities
The position offers an exciting opportunity for conducting internationally leading and impactful research in explainable AI. The Research Assistant/Associate will be responsible for researching and delivering argumentation-based, interactive explainable AI solutions for a variety of machine learning models built from data, possibly based on twinning these models with stand-alone argumentation-based, data-driven models, and will be expected to submit publications to top-tier conferences and journals in AI.
Essential requirements
To apply for this position, you must have a strong computer science background with a focus on AI, have experience, including a proven publication track-record, in at least two of the following areas, as well as ability and willingness to become familiar with the other: machine learning, computational argumentation, computational logic. You should also have:
- A PhD degree (Research Associate) in computer science or a related area.
- Familiarity with standard machine learning libraries/data analysis.
- Excellent communication skills and ability to work with others.
- Ability to organise your own work and set priorities to meet deadlines.
*Candidates who have not yet been officially awarded their PhD but are in the process of obtaining one will be appointed as Research Assistant within the salary range £38,194 to £41,388 per annum.
Further information
In addition to completing the online application, candidates should attach:
- A full CV, with a list of all publications
- A 2-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
Informal enquiries related to the position should be directed to Prof. Francesca Toni: ft@imperial.ac.uk
For queries regarding the application process contact Jamie Perrins: j.perrins@imperial.ac.uk
Documents
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.
Additional information
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:
- Respect
- Collaboration
- Excellence
- Integrity
- Innovation
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 support.jobs@imperial.ac.uk.
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