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Scientific Researcher in Advanced Process Control
3 weeks ago
This is a research position in process control. The successful candidate will undertake scientific research on an ARC Discovery Project titled "A Probabilistic Approach to Big Data-Based Industrial Process Control".
Responsibilities- Conduct scientific research on probabilistic and data-based industrial process control.
- Undertake research on control theory and machine learning techniques.
- Collaborate with the Process Control Group within the School of Chemical Engineering.
- PhD in Engineering or Mathematics.
- Demonstrated skills and experience with process control and modern control theories, including nonlinear control and stochastic systems theory.
- Demonstrated ability to conduct independent research with limited supervision.
- Demonstrated track record of publications and conference presentations relative to opportunity.
- Demonstrated ability to work in a team, collaborate across disciplines, and build effective relationships.
- Strong interpersonal and communication skills with a diverse range of stakeholders and students.
- Strong mathematical skills.
- An understanding of and commitment to UNSW's aims, objectives and values in action, together with relevant policies and guidelines.
- Salary: $91,381 - $121,838 per annum + 17% superannuation.
- Full Time.
- Fixed-term contract – 24 months.
- Location: Sydney, Australia.
To be considered you will hold Australian Working Rights or Australian Citizenship. Visa sponsorship is not available for this appointment.
Additional details about the specific responsibilities for these positions can be found via .
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