The University of Manchester
Research Fellowship in Human AI-Teaming
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Applications for Research Fellowships in Human-AI Collaboration
Applications are invited for up to three research fellowships focused upon how people and AI can and should work together in a collaborative partnership. The fellowships are jointly hosted by the University of Manchester, Manchester Metropolitan University, and the University of Salford, and supported by the UK Government. The fellowships are initially through until March 2028, with the possibility of an extension.
Application Requirements
Applicants are requested to submit a brief research proposal addressing the topic of human-AI collaboration with their application. If successful, they will be required to revise this proposal, in consultation with colleagues from the UK Government, both to address government priorities and to improve the fit of the proposal with the demands of the National Security context, where advances in AI capability could give significant efficiency gains but must be balanced against a strong regulatory regime.
Some of the research will assume a standard academic form, and fellows will be expected to pursue publication in relevant academic journals, subject to approval from the government sponsor. Some may be classified and intended for use by the UK Government and their partner organizations only. Fellows will therefore gain experience of two very different research environments and of negotiating the complexities of working between them.
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Fellowship Details
Fellows will have a base within one of the partner universities. They will have mentors both within their university and the UK Government, to offer guidance and support. Mentors from the organizations will work together to ensure coherence and consistency in their advice and support. Fellows will be required to be in Manchester several days a week and so are expected either to be located in the North-West or willing to relocate.
Eligibility
Applicants should have completed or at least submitted a relevant PhD and have expertise in behavioral science, AI, machine learning, and/or an intersection of those fields. This expertise should be explained in a letter of application and demonstrated in the abovementioned proposal, which short-listed candidates will be expected to present at interview.
The fellow must be eligible and willing to apply for national security clearance at a minimum level of Enhanced Security Clearance (eSC) and a preferred level of Enhanced Developed Vetting (eDV), making them subject to the provisions of the Official Secrets Act (which includes restrictions on travel to certain countries). UK nationals currently resident in the UK will normally be eligible, but all applicants should carefully consider their eligibility before applying for the fellowship. Information about vetting and clearance can be found on the UK Government Security Clearance website. The employer reserves the right to terminate a fellowship in the event of a loss of security clearance.
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Benefits
Our benefits include:
- Generous employer contribution pension
- 29 days annual leave plus bank holidays, along with Christmas closure
- Ride to work and EV car scheme available
For more information, please see University of Manchester Benefits. You can also find information on our Flexible and Hybrid working here.
About Us
We are an open place of enquiry and challenge. We embrace and celebrate difference, diversity, and debate, and we pride ourselves on being a place of education, learning, and community where we are able, within the law, to question and test received wisdom, express new ideas, and explore controversial or unpopular topics and opinions. Find out more from our Freedom of Speech Policy.
Enquiries
Enquiries About The Role, Shortlisting And Interviews
Email Address: bsfellowships@manchester.ac.uk.
General Enquiries and Administrative Support
recruitmentservices.people@manchester.ac.uk
Technical and Job Portal Support
https://jobseekersupport.jobtrain.co.uk/support/home
Applications close at midnight on the closing date.
Further particulars (with person specification) linked below.
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