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Lecturer/Senior Lecturer in Service Science

Queensland University of Technology


Location:
Brisbane, Queensland 4000
Date:
09/06/2017
2017-09-062017-10-06
Job Code:
17358
Job Type:
Employee
Job Status:
Full Time
Categories:
  • Information Technology
  • Design/Development Engineering
  • Research
  • Computer Programming/Systems
  • Computer Engineering
Queensland University of Technology
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Job Details

The Service Science Discipline is seeking to appoint an outstanding candidate 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 position offers the successful candidate an exciting opportunity to develop their academic career in a dynamic and topical discipline with strong connections with industry and government.

This position will contribute to high-quality research in the area of collaborative information systems supported through digital platforms and involving diverse business partners, online communities and crowd sourcing. Key capabilities will include business innovation, service and community design, platform development, experimental design, empirical research methods including qualitative and quantitative techniques, and data analytics (e.g. social network analysis). The research will apply to existing areas of discipline strength in domains such as banking, government service delivery and education, involving high-profile industry partners, and key digital transformation endeavours. In addition, it should foster emerging applications in the discipline exploiting digital services involving contemporary technology segments such as the Internet of Things, Cloud computing, micro-services and spatial systems.

The role will also contribute to digital transformation of Service Science Discipline 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. Demonstrated experience of systems analysis and design methods/techniques with collaborative information systems (e.g. conceptual modelling, pattern-based analysis).

6. Demonstrated experience with formal and empirical methods for validating systems innovation and design (e.g. qualitative and quantities data gathering methods, data analytics, systems behaviour models).

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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