Research Assistant on RED-AID

 
Published
Closing Date
WorkplaceOxford, South East England, UK
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Position
UK date and time: 24-May-2022 17:46

 

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Research Assistant on RED-AID

Computer Science - Wolfson Building, Parks Road, Oxford

This role is an opportunity to join the Human Centred AI group at the Department of Computer Science The RED-AID: REspectful and capability-centreD AI Device for Preventing Call Fraud project is seeking a Research Assistant to help realise a novel real-time call fraud detection and mitigation tool, aimed to support older adults with memory concerns and dementia. The project is funded by the UK’s Research and Innovation (UKRI) Engineering and Physical Sciences Research Council (EPSRC) through the PETRAS National Centre of Excellence for Cybersecurity and IoT Internal Strategic Projects and Engagement Fund (ISPEF). 

More details on the project can be found here: ?url=https%3A%2F%2Fpetras-iot.org%2Fproject%2Fred-aid-respectful-and-capability-centred-ai-device-for-preventing-call-fraud%2F&module=jobs&id=2295276" target="_blank" rel="nofollow">https://petras-iot.org/project/red-aid-respectful-and-capability-centred-ai-device-for-preventing-call-fraud/

This post is full-time (1.0 FTE, 35h/w) and short term until 30 November 2022 at the Department of Computer Science in Oxford, and has a goal of reaching a technology readiness level (TRL6 or above) that the system can be validated for potential tech transfer into an industry spin-out. The extension of the position is subject to excellent performance and funding availability.

The ideal candidate would have a CS degree (undergraduate, master’s, or doctorate), and full-stack development with experience in NodeJS, Python, and JavaScript. Experience with applied natural language processing (NLP) and Machine Learning, or designing apps or systems for dementia patients and other vulnerable populations would be additional assets.

The successful candidate will be expected to have a PhD (or be close to completion) in a related area and should indicate their special area(s) of interest from the four topics above in a cover letter. The primary selection criteria will be relevant research experience and publication track record. We can consider candidates with potential but less experience who are seeking a development opportunity, for which an initial appointment would be at Grade 6 (£29,614 - £35,326 p.a.) with responsibilities adjusted accordingly. This would be discussed with applicants at interview/appointment where appropriate.

All applicants must complete an application form and submit a CV and supporting statement.

The closing date for applications is noon on 7th of June 2022. Interviews are expected to be held in June.

We are a Stonewall Top 100 Employer, Living Wage and Mindful Employer, holding an Athena Swan Bronze Award, HR excellence in Research and Race Equality Charter Bronze Award.

Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example ?url=http%3A%2F%2Fwww.cs.ox.ac.uk%2Faboutus%2Fwomen-cs-oxford%2Findex.html&module=jobs&id=2295276" target="_blank" rel="nofollow">www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html , as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example shared parental leave.

Demonstrating a commitment to provide equality of opportunity. We would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department. All applicants will be judged on merit, according to the selection criteria.

Contact Person : HR Coordinator Vacancy ID : 158226

Contact Phone : Closing Date & Time : 07-Jun-2022 12:00

Pay Scale : STANDARD GRADE 7 Contact Email : hrcs.ox.ac.uk

Salary (£) : Grade 7: £33,309 - £40,927 p.a. (Post may be under-filled at Grade 6 £29,614 - £35,326 p.a.)

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In your application, please refer to myScience.org and reference JobID 2295276.