Reader in Data Science

Reader in Data Science 

Data is a strategic growth area for University of Wolverhampton, and we are seeking to appoint an exceptional and ambitious individual to join our team as a Reader Data Science. The School of Engineering, Computing and Mathematical Sciences is a large interdisciplinary centre for education, research, and enterprise. We are looking for an experienced researcher to help lead, drive, and advance our research and knowledge exchange activities in Data Science.

The School of Engineering, Computing and Mathematical Sciences operates at Wolverhampton City campus, Telford Innovation Campus, Wolverhampton Science Park, Springfield (Elite Centre for Manufacturing Skills (ECMS)) and Hereford (Cyber Quarter). The school’s portfolio also includes UWRacing, Cyber Quarter (Hereford) and the IoT Dudley. The School provides education, business engagement, and research, and supports many companies focusing on advanced engineering, motorsport engineering, computer science, artificial intelligence and cyber security. The portfolio includes a diverse range of contemporary undergraduate and postgraduate accredited programmes, including a growing transnational provision, degree apprenticeships, and online courses. 

The Department of Computing and Mathematical Sciences offers a full range of contemporary, professionally accredited programmes incorporating Foundation Year, Undergraduate, Taught Postgraduate, Transnational Education as well as Degree Apprenticeships and Doctoral level study opportunities. These include key areas such as Computer Science, Cyber Security, Information Technology and Mathematics, as well as emerging fields such as Artificial Intelligence and Data Science.

You will be expected to boost the already successful research carried out by the school. You will be expected to produce REF-returnable outputs, attract external income, seek industrial collaborations, undertake some teaching, and supervise PhD students. You will hold a PhD (or equivalent) in a field related to Computer Science or Data Science or related field and will have carried out extensive research in the area at a university, research institute or in a related part of the private sector in the UK or abroad. You will be proficient in a range of subject-specific skills and ideally will have extensive experience in site-based research settings. You will be able to demonstrate the ability to work independently to develop new research objectives and proposals including contributing to the securing of external funding and collaborative projects. 

You should have evidence of an individual track record in research which is at the cutting edge of the relevant fields and is recognised internationally (e.g., through publications in journals). You should have a track record of having successfully obtained funding from external sources and successfully completed projects. 

For an informal discussion about the above post please contact Professor Tracy Warr, Associate Dean Research and Knowledge Exchange ([email protected] ).

The University of Opportunity for Students and Staff

As part of our commitment to ensure the diversity of our staff body reflects those of the student and local communities we serve, we particularly welcome applications from candidates of Black, Asian, or Ethnic Minority heritage, and candidates who are Disabled (including people who may not define themselves as disabled, but nevertheless encounter challenges)

PLEASE NOTE: Applications are scored against the criteria set out in the job description and person specifications attached to this advert. Applications are not assessed against the job advert so please ensure your applications are crafted against the Job Description and Person Specification contained within it.