Emotions and Employee Turnover: New Methods for Complex Dynamic Systems
ARC Discovery Project commencing 2020
A PhD scholarship is available in organisation science research. The closing date for Expressions of Interest is 16 March 2020.
The University of Melbourne’s Department of Management and Marketing has been awarded a 3-year Australian Research Council (ARC) Discovery Project grant for the project Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. The project will run March 2020 to March 2023. Drawing on and advancing methods from ecology and applied physics, this project investigates the complex dynamics of various phenomena, aiming to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about organisational dynamics (including individual emotion dynamics and organisational processes such as employee turnover). Expected outcomes include an improved capacity for researchers, managers, and policy makers to understand complex organisational, economic, and health systems.
The research team from the Department of Management and Marketing (Faculty of Business and Economics), the National Centre for Social and Economic Modelling (University of Canberra) and the Scripps Institution of Oceanography at the University of California, San Diego now invites expressions of interest in a PhD position to be funded by this ARC Discovery Project.
Applications are sought from candidates with fundamental skills in basic statistical analysis such as regression and a strong quantitative background. Candidates working in fields such as psychology, economics, finance, organization science, geography, ecology, population health, applied mathematics, or computer science are strongly encouraged to apply.
We anticipate that the candidate’s PhD project will relate to at least one of the project’s research aims:
- The empirical study of individual emotions or a similar phenomenon as a complex dynamic system, using empirical dynamic modelling or EDM methods from ecology and applied physics to predict employee turnover or a similar phenomenon.
- The identification and compilation of publicly available datasets with typical complex characteristics in the field of psychology, economics, sociology and/or public health.
- The implementation and/or development of new EDM methods for characterising and testing causality in complex dynamic systems.
The successful candidate will work with a team of expert organisation science and EDM researchers led by A/Prof Michael Zyphur (Lead Chief Investigator) from the University of Melbourne, and co-investigators Dr Jinjing Li (University of Canberra) and Professor George Sugihara (University of California, San Diego).
The candidate will be hosted within the Faculty of Business & Economics, Department of Management and Marketing at the University of Melbourne, with supervision provided by members of the project team.
The successful applicant must meet the entry requirements for the Faculty of Business and Economics PhD program in Management or Marketing. This currently includes:
- A two-year masters degree in a relevant discipline which includes a substantial research component equivalent to at least 25% of one year of full-time study with a minimum weighted average of 80% or (University of Melbourne) equivalent across all first and second year subjects.
- The results of a Graduate Record Examinations (GRE) test or Graduate Management Admission Test (GMAT) completed within the last 5 years (note: as a guide, the minimum recommended score considered competitive for admission is currently an overall GRE score of 326 or an overall GMAT score of 680)
The following applicants are exempt from submitting a GMAT or GRE test score:
- Those who have completed an undergraduate degree in Australia or New Zealand within the 18 months prior to the date of application; or
- Those who face significant humanitarian issues.
The scholarship includes a living stipend ($31,200 tax-free per annum, University of Melbourne)
Closing date is 16 March 2020
For more information, please contact: Associate Professor Michael Zyphur
Associate Professor Michael Zyphur