We were recognised in REF2021 as a leading modern University and 35th in the UK for the power of our research in business and management.
We offer a full range of programmes to c.
10,000 students across undergraduate, postgraduate and MBA qualifications.
We are also the UK's sector leader for degree apprenticeships, where we work in partnership with a number of blue chip employers.
The last five years have also seen a tripling of our research active staff, and a rapid upward trajectory in all key research metrics.
We have experts in a wide range of disciplines and embrace our vision of developing our students into highly employable, socially and environmentally responsible individuals.
As one of our team, you'll have unique opportunities to work with our extensive network of commercial organisations, global exchange institutions, research collaborations and alumni communities.
The Department of Operations, Technology, Events and Hospitality Management is an ambitious, large, and diverse department within the Business School.
With over 1,500 students and 60 academic staff, The Department delivers a wide range of courses covering undergraduate, postgraduate, professional and commercial programmes, including the sector-leading degree apprenticeships programme Digital & Technology Solutions.
The BusinessAnalytics team is a dynamic and growing group of research academics focusing on providing high quality teaching and learning across a range of programmes in the Business School.
Programme growth, has led to an exciting opportunity for you to join the team.We are looking for an academic who will deliver high quality teaching and learning across a range of subjects for the degree/postgraduate programmes across the department.
We are seeking to appoint two roles in this area.
You will be able to teach and provide academic leadership on our programmes and contribute to the ongoing development of this dynamic subject area including recent developments in advanced statistics, data visualisation, big data, data analytics techniques and AI Machine Learning along with skills in PL/SQL, UML, ERD and software such as Power BI, Tableau and R.
You will also be able to demonstrate academic teaching experience with a commitment to providing a high quality student experience as well as sufficient breadth and depth of specialist knowledge to contribute effectively to the Faculty's academic development of the subject in the Business School.
In recognition of staff contributions to the University's achievements during the 2021/2022 academic year, an additional discretionary payment of 2% per annum will be added to your salary until 31/07/23 in order to ensure consistency amongst existing and incoming staff.This additional 2% will be paid pro rata in equal monthly installments, on top of your salary each month until 31/07/23.
ManchesterMetropolitanUniversity is committed to supporting the rights, responsibilities, dignity, health and wellbeing of staff and students through our commitment to equality, diversity and inclusion.
We promote applications from all sections of the community, irrespective of background, belief or identity, recognising the benefits that a diverse organisation can bring .
We particularly encourage applications from Black and Minority Ethnic candidates, who we recognise are underrepresented in this area.
We recognise the benefits and importance of an environment that supports flexible working and are open to conversations about this throughout the application process.
Closing date:
25 April 2023
ManchesterMetropolitanUniversity
ManchesterEngland
