Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Reader in Data Science

University of Wolverhampton
Wolverhampton
1 year ago
Applications closed

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 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. 

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)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.