We are seeking a motivated and collaborative individual to join our team as a T&R Lecturer in AI/ Business Analytics. This role offers an exciting opportunity to contribute to undergraduate and postgraduate teaching across the programmes offered by the Division, in Manchester, online, and, where appropriate, at our Global Centres, within a dynamic and inclusive environment.
You will be responsible for:
- Teach and contribute to established teaching and research programmes in Business Analytics and Decision Sciences, with expertise in Digital Transformation.
- Conduct high-quality research in areas such as Business Analytics and AI, Decision Sciences, data-driven decision-making, human-AI collaboration, and decision intelligence.
- Support student learning through effective teaching delivery, assessment, feedback, and student support, using a range of techniques to enthuse and engage students.
- Contribute to broader management, administrative, service and leadership activities, as well as knowledge transfer and external engagement in support of the University’s goals.
About You
We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate:
Essential Criteria:
- Normally hold, or be about to obtain, a relevant PhD and/or, in some units, have an appropriate professional qualification.
- Possess sufficient breadth or depth of specialist knowledge in Business Analytics and Decision Sciences, with expertise in Digital Transformation, and the ability to teach and conduct high-quality research in one or more relevant areas.
- Demonstrate an aptitude for continuous professional development, the ability to engage and inspire students, and familiarity with strategies to promote and assess learning.
- Show ability to contribute to management and administrative processes, assess and organise resources, understand equal opportunity issues, communicate in very good written and spoken English, and, for Grade 7, demonstrate a growing reputation and record across teaching, research, knowledge transfer, external engagement, service and leadership.
Desirable Criteria:
- Membership of, or collaborative experience with, appropriate learned societies and/or professional bodies.
- Ability to write and communicate effectively with policymaker and practitioner audiences.
We value transferable skills and real-world experience as much as formal qualifications.
Our benefits include:
• Generous employer contribution pension
• 29 days annual leave plus bank holidays, along with Christmas closure
• Ride to work and EV car scheme available
For more information, please see University of Manchester Benefits. You can also find information on our Flexible and Hybrid working here.
We are an open place of enquiry and challenge. We embrace and celebrate difference, diversity and debate, and we pride ourselves on being a place of education, learning and community where we are able, within the law, to question and test received wisdom, express new ideas and explore controversial or unpopular topics and opinions. Find out more from our Freedom of Speech Policy.
Enquiries about the role, shortlisting and interviews
Name: Professor Michelle Carter
Email: michelle.carter@manchester.ac.uk
Name: Professor Yu-Wang Chen
Email: yu-wang.chen@manchester.ac.uk
General enquiries and administrative support
recruitmentservices.people@manchester.ac.uk
Technical and job portal support
https://jobseekersupport.jobtrain.co.uk/support/home
Applications close at midnight on the closing date.
Further particulars (with person specification) linked below.
