University of Leicester: Lecturer in Management and AI

About this opportunity

Key responsibilities

• To work with the AP in Management and AI to help provide academic leadership in developing a coherent and distinctive research presence in the area of Artificial Intelligence in Management.
• Pursue and publish high-quality, peer-reviewed outputs suitable for submission to REF (4* or equivalent), with an emerging international profile.
• Secure external research funding through competitive bids, including collaboration across Schools, institutions, and sectors.
• Supervise doctoral researchers and support the development of research talent, particularly ECRs.
• Coordinate School-wide research initiatives with potential to formalise a thematic research centre in AI applications in management practice.
• Review extant modules and determine whether these can be re-designed to ensure the effective incorporation of AI.
• To deliver high-quality, research-informed teaching in core HR and management subjects and AI-related topics across undergraduate and postgraduate programmes.
• Innovate in curriculum development, including how we AI themes within modules and how we use AI to drive new programme design.
• Supervise postgraduate research (PGR) students, providing academic and pastoral support, and fostering a strong research culture among doctoral researchers.
• Provide academic input into in pedagogic enhancement, including supervision of project-based learning, placement activities, or inter-disciplinary modules.
• Undertake module and/or programme leadership responsibilities, supporting curriculum coherence and student experience.
• Provide subject area leadership and collegial support across the School and College, contributing to strategic initiatives and committee work.
• Provide a coordinating role in the development of AI management as a cross-cutting research theme, fostering collaboration between colleagues working in distinct applied domains (e.g. healthcare, education, climate change).
• Contribute to research environment enhancement activities, such as mentoring early career researchers, developing funding bids, and supporting REF preparation.
• Represent the School and required contributing to academic citizenship, peer review, and engagement with professional bodies, funding agencies, or networks.
• Support inclusive and positive academic culture through active participation in School events, staff development, and student-facing activities.
• Collaborate closely with the AP management and AI to establish a School level AI Community of Practice.
• To collaborate with colleagues across the School of Management and wider College to support interdisciplinary research, curriculum development, and strategic planning.
• Act as a key liaison between research-active staff in AI-related areas and senior leadership teams, contributing to the visibility and coherence of emerging themes.
• Supervise postgraduate researchers, students and contribute to the development of the doctoral community, including partnerships with the Doctoral College.
• Develop and maintain strong external relationships with academic peers, research networks, funding bodies, and relevant professional associations in the field of AI and management.
• Contribute to our engagement with non-academic stakeholders (e.g. industry, policy, third sector) to develop impactful research collaborations, consultancy, and knowledge exchange initiatives.
• Engage in the planning and delivery of high-quality teaching and assessment across undergraduate, postgraduate, and doctoral levels, including curriculum development and programme design in areas related to management and AI.
• Contribute to and coordinate aspects of the School’s research strategy in AI and its application to management, identifying funding opportunities, supporting grant applications, and shaping collaborative projects.
• Develop and oversee work plans for self-managed research activity, ensuring appropriate time is allocated for teaching, research, supervision, and service.
• Contribute to the operational planning and strategy implementation of the School by taking responsibility for defined strategic areas and participating in relevant committees and working groups.
• Support the mentoring and professional development of colleagues, particularly early-career researchers and those working in AI-related fields.
• Strong organisational skills, including the ability to manage competing priorities, support team delivery, and contribute to School-level strategic aims.
• Demonstrated commitment to equality, diversity and inclusion in academic and workplace practices.

Requirements

• Essential:
• A PhD (or equivalent) in a relevant area of management including Human Resource Management, Employment Relations Organisational Behaviour, Organisational Psychology, or related discipline*
• An established track record of high-quality publications suitable for submission to REF, including outputs on the role or impact of AI in HR and/or Management contexts*
• Experience of successful undergraduate and postgraduate teaching, curriculum design, and assessment in business and management relevant subjects*
• Demonstrable experience of research involvement, including securing or contributing to externally funded research projects*
• Experience of academic leadership, including mentoring colleagues or leading teaching or research initiatives.
• A clear research agenda and vision aligned with School and University priorities, including the potential to develop a coherent research grouping or centre on AI in Management.
• Fellowship of the HEA or equivalent (or willingness to obtain within 12 months of appointment)*
• Desirable:
• Experience of interdisciplinary research or collaboration with sectors such as education, health, environment, or policy, particularly in relation to AI.
• Experience of delivering effective higher education across modes (i.e., both on campus and distance learning).
• Experience using digital and AI tools to enhance teaching, research, or engagement.
• Experience of organising academic conferences, seminars, or workshops that contribute to the profile of the School or discipline.
• Experience in supervising professional doctorates.
• Demonstrable public engagement or knowledge exchange work that highlights the social or ethical dimensions of AI in organisations.
• Membership of or eligibility for professional bodies relevant to management and/or artificial intelligence.
• Skills, Abilities and Competencies:
• Essential:
• Ability to engage with and inspire colleagues across AI oriented research and teaching initiatives.
• Proven ability to communicate complex ideas effectively in both written and oral formats to academic and non-academic audiences.
• Ability to develop and deliver high-quality teaching at undergraduate and postgraduate levels.
• Capacity to initiate and sustain impactful research, with clear evidence of strategic planning and delivery of outputs and outcomes
• Competence in developing collaborative partnerships within and beyond academia, including industry or policy bodies.
• Desirable:
• Ability to contribute to the establishment of a research centre or thematic grouping (e.g. on AI in Management or related areas).
• Familiarity with governance processes within a university setting and capacity to contribute effectively to committee work or strategic planning.
• Capacity to secure external income through grant applications, industry collaboration, or enterprise activities.
• Ability to act as a mentor or coach to colleagues and students, supporting their academic and professional development.

How to Apply