Senior Lecturer in Business Analytics and Artificial Intelligence

nottingham trent university • United Kingdom

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AI Summary

Join Nottingham Trent University’s Nottingham Business School as a Senior Lecturer in Business Analytics and Artificial Intelligence, shaping experiential learning in supply chain management for undergraduate and postgraduate programs. Lead module development, collaborate on research, and contribute to the school’s personalized education strategy. Requires a strong professional practice record and scholarly expertise in the field.

Key Highlights

Lead experiential learning in supply chain management for UG and PG programs

Develop and manage academic modules with a focus on Business Analytics and AI

Collaborate on research and contribute to Nottingham Business School’s personalization strategy

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Key Responsibilities

Engage in module management and development for supply chain management programs at undergraduate and postgraduate levels

Contribute to experiential learning initiatives and teaching-related activities across all academic levels

Collaborate with colleagues to support the school’s personalized education strategy and academic content design

Participate in research activities and professional practice within Business Analytics and Artificial Intelligence

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Technical Skills Required

Business Analytics Artificial Intelligence Supply Chain Management

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Benefits & Perks

30-35 days annual leave plus statutory bank holidays and 5 university closure days pro rata

Salary Sacrifice Retirement Savings Plan with life assurance and income protection

Range of health and wellbeing services including Health Cash Plan, voluntary benefits, discounts, and savings

Job Description

Doing things differently.Salary £46,330- £58,624Full timeThe Department of Strategy, Analytics and Operations at Nottingham Business School is actively looking for an enthusiastic and motivated individual to join us as Senior Lecturer in Business Analytics and Artificial Intelligence. We are seeking a candidate who can contribute to the delivery of our existing experiential learning and teaching success of various supply chain management modules in our UG & PG programmes. The ideal candidate should have a strong record of professional practice in the subject area and scholarship activities.

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