Lecturer in Accounting    

Belfast (County) (GB)
22 May 2018
End of advertisement period
21 Jun 2018
Contract Type
Full Time

Queen’s University Belfast
Lecturer in Accounting
Ref: 18/106495
Queen’s Management School

Queen’s Management School is one of the top Business Schools in the UK and Ireland and has been educating business professionals and leaders for more than forty years. The School has four departments – Accounting, Economics, Finance and Management.

The School is ranked 1st amongst Russell Group business schools based on quality of teaching, academic rigour and student satisfaction noted in the NSS (National Student Survey) scores 2016.

The 2011 relocation of the School to the Riddel Hall campus, a major strategic development for the University, brought all academic staff, support staff, and postgraduate students, onto one site for the first time. Executive Education is delivered via the William J. Clinton Leadership Institute (CLI). Established in 2012, the CLI amalgamated with the Queen’s Management School in 2016 and it has grown rapidly as it seeks to develop leadership capacity at all levels in Northern Ireland and beyond. The School unites leading academics and industry experts, allowing opportunities for innovative knowledge exchange worldwide.

The School now has 123 academic and support staff with over 1,900 taught students and 50 students undertaking PhDs. 

Our academic staff have been involved in a diverse range of projects such as health inequalities, adaptiveness in stock markets, economic and financial history, credit unions, trends in genetically engineered crops, transparency in charity reporting, innovation and firm performance, supply chain, management in agri-food businesses, marketing in the retail sector, HRM, trust and employee voice, management systems in the public and non-profit sectors business ethics and whistleblowing.

The successful candidate will undertake research in line with the School’s research strategy, to teach at undergraduate and postgraduate level, and to contribute to School’s administration/outreach activity.

Queen’s Management School is working towards an Athena SWAN award.

The successful candidate must have:

  • PhD in Accounting or related discipline (or within 6 months of completion)
  • Ability to publish research publications of international standard in Accounting. Potential to earn external research income
  • Ability to teach and assess courses in the area of Accounting and related fields at University level
  • Ability to advance the research and teaching goals of the School
  • To strengthen the School’s national and international research networks
  • Demonstrate evidence of ability to communicate clearly and effectively to students, academic colleagues and to 
professional bodies.
  • Evidence of good interpersonal skills and the ability to work both independently and as part of a team.

Further information about the School can be found at https://www.qub.ac.uk/mgt/
Informal enquires may be directed to Dr Patricia McCourt Larres, email: p.mccourt@qub.ac.uk or telephone: +44 (0)28 9097 4811 or Dr Graham Brownlow, email: graham.brownlow@qub.ac.uk telephone: +44 (0)28 9097 4589 

Anticipated interview date: Monday 2 and Tuesday 3 July 2018 

Salary scale: £35,550 - £49,149 per annum (potential to progress to £52,132 per annum through sustained exceptional contribution)

For full criteria and to apply online, visit www.qub.ac.uk/jobs. For further information or assistance contact Human Resources, Queen’s University Belfast, BT7 1NN.  Telephone (028) 9097 3044 or email on HR@qub.ac.uk 

The University is committed to equality of opportunity and to selection on merit.  It welcomes applications from all suitably qualified persons. However, as people with disabilities and females are currently under-represented in this particular category of work, it would particularly welcome applications from these groups. 

Due to growth within the school we are currently undertaking an ongoing recruitment campaign; therefore expiration date of post advertisement is an estimation.