Department: School of Business & Management
Salary: £40182 - £50030 per annum (Grade 5)
Date posted: 03-Jan-2017
Closing date: 03-Feb-2017
The School of Business and Management (SBM) seeks to recruit an outstanding researcher and teacher to a lectureship in Business Analytics. Experienced candidates with a strong publications record are encouraged to apply. All applicants should have the ability to teach and supervise effectively across our main undergraduate and postgraduate programmes.
School of Business and Management (SBM)
The School of Business and Management (SBM) is a research-led School that takes a humanities and social science led approach to our scholarship. We are a non-departmentalised school within QMUL’s Faculty of Humanities and Social Sciences (HSS), with its traditional strengths as a site of critical thinking in the humanities, law, history, geography and politics.
The School has been undergoing a period of rapid growth, doubling our number of academic staff over the last five years. We presently have around 75 academic and 16 administrative staff, with more appointments in process. We have over 1,000 undergraduate business management students, plus approximately 800 students taking business in combination with other degree subjects within QMUL. At the post-graduate level we have around 450 MSc students and a well-established doctoral programme of 50+ doctoral students.
Lecturer in Business Analytics
The successful candidate is expected to develop a nationally and internationally competitive research program through scholarly publications, professional engagement, and potentially extramural funding. In teaching, successful candidates will share a deep commitment to effective instruction at undergraduate and graduate levels; development of innovative courses; and mentoring of students in research, outreach and professional development.
Successful candidates are expected to contribute to teaching of a new degree in Business Analytics that integrates instruction on recent developments in data analytics with skills required to enable businesses to engage in data driven decision-making.
Minimum qualifications include the completion of all requirements for a Ph.D. in Economics, Applied Statistics or a related field by August 2017. (equivalent foreign degrees are acceptable); demonstrated excellence in scholarly research; the ability to teach rigorous and accessible graduate level courses in econometrics and quantitative methods (such as machine learning, causal inference or forecasting) and a deep commitment to promoting diversity through their academic and research programs.
The post is full time and permanent. Starting salary will be in the range £40182 - £50030 per annum inclusive of London Allowance and include 30 days annual leave, USS pension scheme membership, and interest-free travel season ticket loan.
Your application should include a cv plus a brief outline of your research plans and evidence of your teaching (for example recent evaluations and teaching awards or other recognition). As part of the selection process you will be asked to present to members of the School on your research and on your teaching. The post is available any time after April 2017.
Enquiries can be addressed to:
Professor Almudena Sevilla, Professor of Economics email@example.com
Dr Georg von Graevenitz, Senior Lecturer in Quantitative Methods firstname.lastname@example.org
Professor Frances Bowen, Head of School email@example.com
Information about the School can be found at http://www.busman.qmul.ac.uk/.
To apply for this position, please click on the "Apply Online" link.
The closing date for applications is 03 February 2017. Interviews are expected to be held in March 2017.
Valuing Diversity & Committed to Equality