The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more about our benefits (opens in a new window) and join us to become part of something special.

Overview

As an Academic Fellow in AI for Health you will conduct personal research within the Centre for Machine Intelligence (CMI), working in the area of AI for health.  You will work closely with the CMI Academic Theme Lead in AI for Health in the overarching theme of AI-enabled research.

You will have a background in research on and around AI for Health and have experience of working with healthcare data.  You will also have experience of interdisciplinary collaboration, especially with STEM disciplines.  During your three-year Fellowship you will work with the other CMI Fellows, the CMI Theme Leads, and the Centre Director to ensure that the CMI is at the forefront of AI research, innovation, and impact, nationally and internationally. In addition, you will deliver some teaching with an expectation of progression to Lecturer (Assistant Professor) at the conclusion of your Fellowship, within an appropriate School, subject to completion of agreed objectives. You will receive a generous start-up package for travel and equipment.

Main duties and responsibilities

• Conduct an innovative programme of research and scholarship in AI for Health, which is recognised nationally and internationally in terms of originality, significance and rigour.
• Regularly publish in high-quality journals and at leading conferences.
• Assist with developing funding strategies, pursue income generation, and manage external research grants.
• Engage fully with the Centre for Machine Intelligence, working closely with the CMI theme lead in AI for Health, and regularly attend community events.
• Develop the experience and skills needed to manage a research team.
• Contribute to and build cross-disciplinary research activity.
• Develop and deliver high-quality undergraduate and postgraduate teaching as required.
• Contribute to the organisation of seminars and workshops related to the CMI, fostering dissemination and networking opportunities.
• Engage in public outreach and education to promote the CMI’s research and AI advancements to a wider audience.
• Participate in professional activities (for example reviewing) and liaise with professional bodies in your specialist area.
• Make ethical decisions in your role, modelling inclusive and collegiate behaviour and furthering the University’s equality, diversity, and inclusion objectives.
• Carry out other duties, commensurate with the grade and remit of the post

Person Specification

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.

Essential criteria

• A PhD (or equivalent experience) in a relevant research area (assessed at application).
• Evidence of high-quality research into or using AI in the field of health (assessed at application, presentation and interview).
• Knowledge and expertise relating to AI and health (assessed at application, presentation and interview).
• Evidence of potential to generate research income (assessed at application, presentation and interview).
• Evidence of potential to become an effective teacher (assessed at presentation and interview).
• Experience of collaborative and interdisciplinary research (assessed at application, presentation and interview).
• Ability to communicate effectively with different audiences (assessed at presentation and interview).
• A commitment to inclusive research and working with diverse communities (assessed at application, presentation and interview).

Desirable criteria

• Evidence of potential to lead and manage a research team (assessed at application, presentation and interview).

Further Information

Grade: 7

Duration: Three years (with the option to transfer to an open-ended lectureship afterwards, subject to meeting progression criteria)

Line manager: CMI Academic Theme Lead in AI for Health

Direct reports: None

Our website: sheffield.ac.uk/machine-intelligence

For informal enquiries about this job contact Dr Denis Newman-Griffis, Senior Lecturer & Theme Lead in AI for Health, at D.R.Newman-Griffis@sheffield.ac.uk or on +44 114-222 1823

Next steps in the recruitment process

It is anticipated that the first stage of the selection process will take place on Monday 24th February. This will consist of a presentation, informal discussions and a tour. We plan to let candidates know if they have progressed to this selection stage in the week commencing 17th February. Shortlisted candidates will then be invited to an interview on Monday 17th March, which is the final stage of recruitment.

     If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact COM-Recruiters@sheffield.ac.uk

Our vision and strategic plan

We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window).
 

What we offer

• A minimum of 41 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
• Flexible working opportunities, including hybrid working for some roles.
• Generous pension scheme.
• A wide range of discounts and rewards on shopping, eating out and travel.
• A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
• Recognition Awards to reward staff who go above and beyond in their role.
• A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways.
• A range of generous family-friendly policies
  • paid time off for parenting and caring emergencies
  • support for those going through the menopause
  • paid time off and support for fertility treatment
  • and more

More details can be found on our benefits page: sheffield.ac.uk/jobs/benefits (opens in a new window).

We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.

Closing Date : 19/02/2025 

We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision (www.sheffield.ac.uk/vision) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.