Reader in Data Science

University of Wolverhampton
Wolverhampton
1 year ago
Applications closed

Related Jobs

View all jobs

Reader in Artificial Intelligence

Reader in Artificial Intelligence

Reader in Artificial Intelligence

Reader in Artificial Intelligence

Reader in Artificial Intelligence

Reader in Artificial Intelligence

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.