Skip to main content
View All Vacancies

Teaching Fellow – Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM)

Reference:  UOH-TA-0022
Campus:  Hull
Faculty/Area:  Faculty of Science and Engineering
Subject Group/Team:  Data Science AI and Modelling Centre (DAIM)
Salary:  £37,386 to £52,841 per annum
Appointment to be made at either band 7/band 8
Post Type:  Full Time
Closing Date:  Sunday 02 April 2023


We are an ambitious and modern University: ambitious for ourselves, our staff, our students and our alumni. We have been helping to shape the future since 1927, and research is still at the heart of what we do today.

Technology has historical routed foundations at the University of Hull, but that doesn’t impede our ability to deliver valuable skills and research in utlisiting technology for now and tomorrow. Through our Strategy 2030, we take seriously our role in shaping a fairer, brighter and carbon-neutral future.

Within this context, the world is changing rapidly as a result of the power of Artificial Intelligence and Data Science. This can be seen in almost every walk of life and at every level of society. Educating the next generation of data scientists and artificial intelligence practitioners and conducting research in this vital field are very much part of responding to this global challenge.

Through the launch of the University’s new Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM), we are responding to the increasing need for qualified practitioners by delivering a step-change in the provision of educational excellence – and high-quality research – which cut across traditional disciplinary departmental and faculty boundaries.


We are significantly investing and contributing to the AI world of today and tomorrow - and this investment brings a fantastic opportunity for seven Teaching Fellows to join us at the Centre of Excellence on a permanent basis.

The ideal candidates will have excellent communication and personal supervision skills and be able to engage, motivate and support students. They will be expected to make significant contributions to supporting the academic progress of students, to support teaching, and to deliver a positive impact on the student experience. Preference will be given to candidates who are able to provide teaching support across a number of subject areas relevant to DAIM and who complement and enhance the overall disciplinary balance within DAIM.

Ultimately, we are an education institution – it’s our bread and butter! Ideally you will hold a good degree, and a PhD or equivalent, with experience in teaching and research. However, we also recognise the value that significant and relevant work experience can bring to an individual’s skillset, particularly, if you have experience in at least one aspect of Data Science, Artificial Intelligence, or Python programming.

We are particularly interested in hearing from applicants who have an interest in Artificial Intelligence or Data Science coupled with qualifications and skills that suit the following specialist areas within the University:

Faculty of Business, Law and Politics:

  • AI for Sustainability/Logistics 
  • Artificial Intelligence in Law Technology
  • Financial Technology and Modelling
  • Digital/E-Parliament or i-Government

Faculty of Health Sciences:

  • AI for Health and Medicine
  • Medical imaging
  • Artificial Intelligence Enhanced Diagnostics
  • Sports rehabilitation (medical devices/technologies)

Faculty of Arts, Culture and Education: 

  • Criminology using Artificial Intelligence and Data Science
  • Digital Policing 
  • AI and Data Science in Creative Arts
  • AI for Ethics / History
  • AI for English Language and Literature

Faculty of Science and Engineering:

  • Robotics and AI
  • Autonomous Systems
  • Healthcare Technologies
  • Al for Biology and Health
  • Genomics and Data Science
  • AI and the Environment, including satellite image AI
  • AI for Sustainability
  • AI and Energy
  • Advancing Mathematics with AI
  • Materials Discovery using AI

Teaching Fellows will contribute to support of students in a pastoral role, undertake computer laboratory work, and will create and supervise student projects. They will contribute to the delivery and administration of assessment activities. The University of Hull embraces e-learning technologies, the post holders will be expected to fully engage with our virtual learning environment in addition to working with students in person.

We are delighted to be in a leading position during this latest industrial revolution, and to be able to recruit the future education, research, and business-interfacing leaders of tomorrow. We hope that you feel inspired to come and join us.

The role of Teaching Fellow is being advertised at band 7 and band 8. Please click below which role you wish to apply for. If you wish to be considered for more than one band, you will need to submit a separate online application form for each position.

DAIM Teaching Fellow (Band 7) [CLICK HERE TO APPLY]

For appointment at band 7: there is an expectation that you will undertake PCAP within two years if you have limited teaching experience, unless a relevant qualification has already been attained. In research, you will have clear potential to develop a national/international reputation on the basis of a sustained output of high-quality publications and external research income.

DAIM Teaching Fellow (Band 8) [CLICK HERE TO APPLY]

For appointment at band 8: there is a minimum requirement to be at Associate Fellow level in teaching, as represented within the UK Professional Standards Framework, and with an expectation of being at Fellow level within two years. You will also have a substantial reputation nationally and international recognition for your research, reflected by a sustained output of high-quality publications and clear impact on your discipline/profession, together with a good track record of attracting research funds.


The University of Hull welcomes applications from all candidates irrespective of age, pregnancy and maternity, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status. We offer a diverse range of benefits and opportunities to pursue a rewarding and fulfilling career in a supportive environment. From a competitive salary which is annually benchmarked against the market rate, with annual increases; alongside the option to join the USS Pensions Scheme, for which the University contribute over 21% into your retirement fund. To find out more, check out some of our Rewards and Benefits

The University has policies in place to support a good work-life balance and employee wellbeing, from generous annual leave; hybrid-working practices to training and development opportunities. This is the time to #FindYourExtraordinary at the University of Hull.

To discuss this role informally please contact Dr Kevin Pimbblet (Director) at

Email details to a friend
Further details:
Existing Account / Staff Member

Do you have an existing account, or are you a member of staff?


New User

For new applicants, please register for an account


Athena Swan - Bronze Award, Disability Confident Employer, Stonewall Acceptance Without Exception, Armed Forces Covenant, Proud Supporter of the Technician Commitment