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Lecturer/Senior Lecturer in Business Process Management

Queensland University of Technology


Location:
Brisbane , Queensland 4000
Date:
09/06/2017
2017-09-062017-10-06
Job Code:
17359
Job Type:
Employee
Job Status:
Full Time
Categories:
  • Information Technology
  • Research
  • Design/Development Engineering
Queensland University of Technology
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Job Details

The Business Process Management (BPM) Discipline is seeking to appoint an outstanding candidates to the position of Lecturer/Senior Lecturer. This position is required to teach effectively units within the Discipline and drive research and industry projects. The discipline has a strong profile in BPM and a collaborative spirit, providing a great opportunity for the successful candidates to further develop their academic career.

This position will contribute to high quality research in the area of performance analysis of business processes. The research calls for proven research experience in the areas of analytics (data mining, machine learning, process mining, and statistics) and process visualisation as well as experience in the use of appropriate empirical research methods (e.g. case studies).

In addition, application areas of research should branch out of existing areas of discipline strength in domains such as healthcare and insurance and diversify into novel areas such as education, manufacturing, biotechnology, and food and agribusiness. The role will also contribute to digital transformation of BPM units and assist in delivering online education based on the Discipline’s needs.

To apply, please search Jobs at QUT.

Requirements

Level B

1. Completion of a doctoral qualification in information technology or similar discipline.

2. Proven track record of high quality research as evidenced by publications in high quality journals and conferences, with capability to grow an independent research profile that includes the capability to attract research funding and demonstrate research leadership.

3. Demonstrated ability to cooperate and collaborate well with others.

4. Demonstrated experience in developing innovative teaching material and proven track record of exceptional teaching.

5. Evidence of relevant programming experience.

6. Evidence of analytical skills and problem solving capabilities in the areas of process visualisation and data analytics (process mining, data mining, machine learning, and statistics).

Level C

In addition to the selection criteria for level B the following selection criteria apply for level C:

1. Proven ability to attract competitive external research income.

2. Evidence of successful involvement in HDR supervision.

3. Evidence of having applied relevant research with successful outcomes in a number of different domains in industry.

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