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Research Associate

Apply now Job no: 500027
Work type: Full-time
Location: Sydney, NSW
Categories: Associate Lecturer

 

Research Associate

The Research Associate will undertake research and development in the areas of artificial intelligence and heterogeneous catalysis.

 

The Opportunity

The Research Associate will undertake research and development in the areas of artificial intelligence and heterogeneous catalysis. The research aims to work on development of novel hybrid photocatalyst design and discovery system, combining knowledge on photocatalysis (domain knowledge) with data-driven processing, as a rational and robust platform to accelerate the discovery of solar hydrogen photocatalysts. The research will involve the development of machine learning models through development of an open source adaptive ML protocol for the discovery of highly active photocatalyst/cocatalyst composites for solar H2 production. The predictive models are required to be trained using combined photocatalysis domain knowledge and materials database with data-driven practices. The research will involve extensive development of scripts pivotal for stochastic model investigation, comparisons and parameter estimation, as well as executing of scripts on high performance clusters. Additionally, the candidate is also required to work on design and development of plasma catalysis reactors. The Research Associate will closely collaborate with a team of UNSW researchers, research engineers from industry partners and supervise HDR students.

 

The role of Research Associate reports to Scientia Professor Rose Amal and has no direct reports.

 

  • Salary, $77,336 - $104,143 + superannuation
  • Full time – 12 Month Fixed Term
  • Location: Kensington – Sydney, Australia

 

About UNSW

UNSW is currently implementing a ten-year strategy to 2025 and our ambition for the next decade is nothing less than to establish UNSW as Australia’s global university. This position is within the Faculty of Engineering.

 

Selection Criteria

 

SELECTION CRITERIA

  • PhD or equivalent in Chemical/ Process Engineering or related discipline with major focus on numerical simulations, mathematical modelling, or machine learning.
  • Expertise and experience on the areas mentioned above with applications oriented towards heterogeneous catalysis systems.
  • Extensive understanding of physical and chemical principles of plasma and photocatalysis systems.
  • Track record of successful grant applications is highly regarded.
  • 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 skills with demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
  • Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

 

Additional details about the specific responsibilities for these positions can be found in the position description via the advert on https://www.jobs.unsw.edu.au/

 

Within your application you should address the selection criteria which are listed within the position description. 

 

Please apply online via https://www.jobs.unsw.edu.au/. Applications will not be accepted if sent to the contact listed on the UNSW Jobs website. 

 

Contact:

Nikki Hayes

E: nikki.hayes@unsw.edu.au

 

Applications close: 11:50pm, 27 October 2020

 

UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds.

UNSW aims to ensure equality in recruitment, development, retention and promotion of staff, and that no-one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity. We encourage everyone who meets the selection criteria to apply.

Position Description

Advertised: AUS Eastern Standard Time
Applications close: AUS Eastern Daylight Time

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