Associate Professor in Management and Artificial Intelligence

University Of Leicester
Leicester
3 days ago
Create job alert

About the role

This role offers the opportunity to lead research and teaching in management and artificial intelligence. You will advance high‑quality research on how AI affects work, organisations and wider socio‑economic environments, with focus areas including Human Resource Management, Organisational Behaviour, Employment Relations and Business Ethics. You will contribute to international research outputs, secure external funding and support the development of interdisciplinary collaborations that strengthen the School’s strategic direction. The role also includes contributing to emerging research themes and developing activity linked to AI applications in management practice.



You will contribute to teaching across undergraduate, postgraduate and doctoral levels, and modes of delivery (campus-based and distance-learning), ensuring that programmes benefit from research‑informed content and contemporary insights into the relationship between Management/HRM and AI. You will contribute to module and programme design, supervise postgraduate researchers and support the development of a strong research environment. The role also involves contributing to School‑level initiatives, working with colleagues and engaging with external partners to enhance visibility, collaboration and academic impact.

About you

You will hold a PhD in a relevant management discipline and have a strong record of high‑quality publications suitable for REF submission, including work that examines the role or impact of AI in management contexts. You will have experience of teaching at undergraduate and postgraduate levels, curriculum development and supervision of doctoral researchers. Evidence of research leadership, including securing or contributing to external funding, will be key, as will strong communication skills and the ability to engage academic and non‑academic audiences.



You will be a collaborative academic with strong organisational skills and a commitment to supporting colleagues, students and wider School priorities. You will bring a clear research agenda aligned with the School’s direction and demonstrate potential to support the development of a coherent research grouping in AI and Management. Experience of interdisciplinary work, public engagement or collaboration beyond academia would be an advantage, alongside active contributions to programme development and research activity. The successful applicant will be expected to contribute to the University of Leicester’s Citizens of Change agenda.

Related Jobs

View all jobs

AI & Computer Vision Associate (KTP Associate)

AI & Computer Vision Associate (KTP Associate, Marwell Wildlife)

Research Software Engineer: Geospatial Artificial Intelligence (Geo-AI)

Professor of Econometrics | ML & Data Science

Assistant and Associate Professor positions in Statistics and Machine Learning at Warwick

Faculty in Data Sciences - Critical Infrastructure and Data Transformation (CID) to Advance National Security

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 Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.