Reader in Data Science

University of Wolverhampton; Wolverhampton; On-site; GBP 56,000 - 65,000; Full time

Job summary

The University of Wolverhampton seeks a Reader in Data Science to lead research and education in Data Science, enhancing current research and securing funding. Candidates should have a PhD, extensive research experience, and a proven track record of impactful research and collaboration.

Qualifications

• Extensive research experience required.
• Proven track record of high-quality research and funding acquisition.
• International recognition in the field is essential.

Responsibilities

• Enhance current research and produce REF-returnable outputs.
• Attract external funding and foster industrial collaborations.
• Undertake teaching and supervise PhD students.

Skills

Research

Teaching

Collaboration

Funding acquisition

Education

PhD in a related field

Job description

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Reader in Data Science

Location: Wolverhampton Campus

Faculty/Department: Faculty of Science and Engineering

Contract Type: Permanent

Salary: £56,048 - £64,946 pa

Closing Date: 10/03/2024

Job Reference: 14044

Documents: PDF, 137.39kb

Reader in Data Science

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

The School operates across Wolverhampton City campus, Telford Innovation Campus, Wolverhampton Science Park, Springfield (Elite Centre for Manufacturing Skills), and Hereford (Cyber Quarter). It includes programs in engineering, motorsport, computer science, AI, and cybersecurity, offering undergraduate, postgraduate, and online courses.

The Department offers a range of accredited programs in Computer Science, Cyber Security, IT, Mathematics, AI, and Data Science, including Foundation Year, Undergraduate, Taught Postgraduate, Transnational Education, Degree Apprenticeships, and Doctoral studies.

You will be expected to enhance current research, produce REF-returnable outputs, attract external funding, foster industrial collaborations, undertake teaching, and supervise PhD students. Candidates should hold a PhD in a related field, have extensive research experience, and demonstrate the ability to develop research proposals and secure funding. A proven track record of high-quality research, international recognition, and successful funding acquisition is essential.

We are committed to diversity and encourage applications from candidates of Black, Asian, or Ethnic Minority heritage, and candidates with disabilities.