Lecturer in The Centre of Excellence for Data - Kingston upon Hull, United Kingdom - University of Hull

University of Hull
University of Hull
Verified Company
Kingston upon Hull, United Kingdom

2 weeks ago

Tom O´Connor

Posted by:

Tom O´Connor

beBee Recruiter
Description

Reference:


  • UOH-TA0027
    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:
  • Wednesday 12 April 2023
    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 looking for outstanding individuals with expertise in Artificial Intelligence or Data Science, coupled with specialist knowledge in the following areas:

  • Artificial Intelligence/machine learning in relation to music creativity (such as musical composition).
  • Music production in terms of audio mastering/mixing and/or signal modification.
  • Musical performance and AI/machine learning in relation to instrumental practice and/or instrumental design.


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.


DAIM Lecturer - Creative Arts (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 - Creative Arts (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 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.


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.
More jobs from University of Hull
See all jobs of University of Hull