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- Tasks: Teach and research in Analytics and AI for Business at a top university.
- Company: Join the University of Leeds, a global leader in education and research.
- Benefits: Enjoy 42 days of holiday, gym discounts, and personal development opportunities.
- Other info: Flexible working arrangements and hybrid options available.
- Why this job: Be part of a dynamic team shaping the future of business analytics and AI.
- Qualifications: A strong academic background in Analytics and AI is essential.
The predicted salary is between 48149 - 57422 £ per year.
Lecturer in Analytics and AI for Business
Salary Grade 8 (£48,149 – £57,422 p.a. depending on experience)
This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.
Are you an academic with the ambition to contribute to the further development of Analytics and AI for Business research and teaching, at Leeds University Business School? Are you passionate about delivering world-leading research and an exceptional student experience in a Russell Group University?
The University of Leeds is one of the top 75 universities in the world. We have a truly global community, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities. Established in 1904, we have a strong tradition of academic excellence, reflected in first-class student education, along with world-leading research that has a real impact around the globe.
As Lecturer, you will be joining the newly formed Analytics, Technology and Operations Department (ATOD) within Leeds University Business School. You will have the opportunity to be a member of the Research Centres operating within the ATOD Department, including the world-renown Centre for Decision Research, as well as other rich research communities in LUBS. You will carry out research, teaching and management within and contribute to academic leadership in the field of business with specific emphasis on Analytics and AI for Business.
This is an exciting opportunity to become a part of a very successful teaching and research team in our growing Business School here at the University of Leeds.
We are seeking individuals who can deliver research-led teaching in a wide range of topics related to Analytics and AI for Business. There are opportunities to teach in many areas related to Analytics and AI for Business, among which: Business Analytics, Optimisation and AI for Business, Applied AI in Business, Evidence based Consultancy, Machine Learning in Practice, Data Analytics in Business, Visualising and Analysing Data Effectively, Business Analytics and Decision Science, Forecasting and Advanced Business Analytics.
What we offer in return
•26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
•Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
•Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
•Access to on-site childcare, shopping discounts and travel schemes are also available.
And much more!
To explore the post further or for any queries you may have, please contact:
Professor Antonino Sgalambro, Head of Department, Technology and Operations Department
Dr Nicky Bown, Departmental Director of Student Education, Analytics, Technology and Operations Department
#J-18808-Ljbffr
Lecturer in Analytics and AI for Business employer: University of Leeds
Contact Detail:
University of Leeds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Analytics and AI for Business
✨Tip Number 1
Familiarise yourself with the latest trends and research in Analytics and AI for Business. This will not only help you during interviews but also demonstrate your passion and commitment to the field.
✨Tip Number 2
Network with current faculty members or alumni from Leeds University Business School. Engaging with them can provide insights into the department's culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your teaching philosophy and how it aligns with research-led teaching. Be ready to share specific examples of how you've successfully engaged students in complex topics related to Analytics and AI.
✨Tip Number 4
Showcase your collaborative skills by highlighting any previous interdisciplinary projects. The role involves working within a team, so demonstrating your ability to collaborate effectively will set you apart.
We think you need these skills to ace Lecturer in Analytics and AI for Business
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Analytics and AI for Business. Focus on your teaching experience, research contributions, and any specific projects that align with the role.
Craft a Strong Cover Letter: Your cover letter should reflect your passion for teaching and research in Analytics and AI. Discuss how your background aligns with the goals of Leeds University Business School and mention any innovative teaching methods you plan to implement.
Highlight Research Experience: Emphasise your research achievements in Analytics and AI. Include publications, conference presentations, and any collaborative projects that demonstrate your expertise and commitment to advancing knowledge in the field.
Prepare for Potential Interview Questions: Think about how you would respond to questions regarding your teaching philosophy, research interests, and how you can contribute to the department's goals. Be ready to discuss specific examples from your past experiences.
How to prepare for a job interview at University of Leeds
✨Showcase Your Research Passion
Be prepared to discuss your previous research in Analytics and AI. Highlight how your work aligns with the university's goals and how you can contribute to their research community.
✨Demonstrate Teaching Experience
Share specific examples of your teaching methods and experiences. Discuss how you engage students and make complex topics accessible, especially in areas like Business Analytics and Machine Learning.
✨Familiarise Yourself with the Department
Research the Analytics, Technology and Operations Department and its current projects. Understanding their focus areas will help you tailor your responses and show genuine interest in joining their team.
✨Prepare for Questions on Flexibility
Since the role offers hybrid working arrangements, be ready to discuss how you would manage your time effectively between on-campus and remote work while maintaining high teaching and research standards.