Lecturer in the Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM) – AI Ethics

THE UNIVERSITY

We are an ambitious and modern University: and we’re looking for ambitious people who can help us harness the power of Artificial Intelligence and Data Science to tackle global challenges. 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.

THE ROLE

We are significantly investing and contributing to the AI world of today and tomorrow - and this investment brings a fantastic opportunity for a Lecturer to join us at the Centre of Excellence on a permanent basis. The ideal candidate will build our research and knowledge exchange strengths within DAIM, along with enhancing academic support and teaching provision for our students. Afterall, you’ll be educating the next generation of data scientists and artificial intelligence practitioners, responding to the increasing need in this field, and conducting high quality research which cuts across traditional disciplinary departmental and faculty boundaries.

We are looking for outstanding individuals who have an interest in artificial intelligence or data science coupled with qualifications and skills that suit the following specialist areas related to AI Ethics: 

• Project and platform design using integrated toolkits informed by AI-related Ethical Protocols (UK Guidelines for AI Procurement; NSCAI Key Considerations; Algorithmic Impact Assessment tool Government of Canada; CIFAR Pan-Canadian AI Strategy); 
• Potential harms and mitigations associated with AI, including bias, discrimination, threats to the rights of individuals, policy, legal and governance (PGB) frameworks;
• The ethical contexts that inform Humanities research projects that involve marginalised and culturally distinct communities and populations; 
• Intersection of the Ethics of AI with Indigenous and de-colonizing Research Protocols

DAIM Lecturers will be expected to undertake research and/or knowledge exchange activities within the fields of Data Science, Modelling, and/or Artificial Intelligence in areas including, but not limited to: modelling & numerical analysis, high performance computing, data science, machine learning, and computer science & visualisation. 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 in at least one aspect of Data Science and Artificial Intelligence. However, we also recognise the value that significant and relevant work experience can bring to an individual’s skillset. All applicants should have Python Programming skills.

The role of Lecturer 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 Lecturer - AI Ethics (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 Lecturer - AI Ethics (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.

WHY HULL? 

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 k.pimbblet@hull.ac.uk.

Further details:

• Candidate Pack - Band 7
• Candidate Pack - Band 8
• Equality and Diversity Document