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

University of Hull

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Reference:  UOH-TA-0028
Campus:  Hull
Faculty/Area:  Faculty of Science and Engineering
Subject Group/Team:  Data Science AI and Modelling Centre (DAIM)
Salary: 

£37,386 to £43,155
per annum
Post Type:  Full Time
Closing Date:  Wednesday 12 April 2023

Applicants are required to submit a current CV and covering letter outlining how their qualifications and experience meet the Person Specification within the Candidate Pack below.

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 Laboratory Teaching Fellow to join us at the Centre of Excellence on a permanent basis. The post holder will contribute to both practical and technical skills elements supporting the effective running of the DAIM building and computational laboratories; and delivery of the MSc Artificial Intelligence and Data Science, along with other courses as required. In addition, the post holder will also play an important part in supporting and supervising students with their MSc research projects.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.

Ideally you will hold a good degree, and a Masters or equivalent, with experience in teaching and research in at least one aspect of Data Science, 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. To be successful in this role, you will posses excellence communication skills and have the ability to engage, motivate and support students, thus having a positive impact on student experience.

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 [email protected] .

CLICK HERE TO RESERVE YOUR PLACE

Come and join us at an online Q&A session to discover more about the roles available within #DataScience #ArtificialIntelligence and #Modelling 

Kevin Pimbblet will be on hand to explain why the University of Hull is investing in #AI and Data Science. This is a fantastic opportunity for you to gain an insight into the benefits of working for a prestigious global institution.

Further details:

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