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PhD and Graduate Teaching Assistant in Data Science and AI

Reference:  FS0623
Campus:  Hull
Faculty/Area:  Faculty of Science and Engineering
School/Department:  Department of Physics and Mathematics
Subject Group/Team:  Physics
Salary:  £16,062 per annum + PhD course fees
Fixed Term / 4 years
Post Type:  Full Time
Closing Date:  Friday 10 June 2022

The University reserves the right to close this post once a sufficient number of applications have been submitted. It is encouraged that you complete the application at your earliest convenience to avoid disappointment.

The Faculty of Science and Engineering at the University of Hull wishes to appoint up to 14 PhD Graduate Teaching Assistants to provide teaching-support to lecturing staff for the new Artificial Intelligence and Data Science MSc programme.  

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 have a fantastic opportunity to join the Centre of Excellence as PhD student with a Graduate Teaching Assistant contract. 

As a Graduate Teaching Assistant, you will gain valuable supervised teaching experience. You will be responsible for contributing to teaching and supporting the postgraduate taught MSc in Artificial Intelligence and Data Science and short courses in the same area. Based in DAIM, you will work in our impressive teaching and research facilities. These include extensive computational laboratory areas as well as having access to the University of Hull high performance computer, VIPER. 

As a Graduate Teaching Assistant, you will be required to undertake a programme of PhD research in an area of interest to DAIM. Upon arrival, we will give you time to explore different topics for PhD research in the areas of interest to DAIM and the Faculty before deciding on your subject and supervisors. Potential supervisors will propose projects in these areas, although there is the possibility to also propose your own research for exceptional candidates. Students will be allocated to projects by the DAIM Steering Group, on the basis of student and staff preference, and student skills and expertise, and all students will be allocated a co-supervisor. 

You should have a minimum of a 2:1 degree and good attainment within your undergraduate research project, or thesis. A taught MSc or Master’s degree by research would be further advantageous. 

All applicants must have one or more of the following professional skills and be willing to learn others: Python programming, Data Science and Machine Learning techniques, Artificial Intelligence techniques, and Data Modelling techniques. 

You should have excellent written and oral communication skills, be able to work well independently and be highly motivated to undertake PhD research. 

As a PhD student at the University of Hull you will undertake the Postgraduate Training Scheme alongside your main PhD degree to help you develop the research skills and knowledge that you will need in your future career. You will gain an additional Masters level Certificate or Diploma in Research Training in addition to your PhD. 

Salary: £16,062+ payment of PhD tuition fees. 

Applicants are required to submit a current CV and covering letter outlining how their qualifications and experience meet the Person Specification in the Job Description. 

If you have any questions about this role, please email Kevin Pimbblet. 

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At Hull we are committed to equality of opportunity, diversity and inclusion at every level, because we believe a diverse workforce brings broader expertise, improved innovation and greater success for all. 

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.



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