Externally-Funded Research Fellow A/B, School of Chemical and Advanced Materials

Adelaide, Australia
15 Apr 2021
End of advertisement period
16 May 2021
Contract Type
Fixed Term
Full Time

(Level A or B) $89,610 to $119,391 per annum plus an employer contribution of 9.5% superannuation will apply

The University of Adelaide Enterprise Agreement 2017-2021 will apply to a successful candidate’s employment at the University. The University recently temporarily varied its Enterprise Agreement. Please be advised that the salary range, along with other conditions associated with this position, may change in accordance with the variation to the Enterprise Agreement

Fixed-term position available immediately for one year, with the possibility of extending to two years based on performance. A Visa application will be supported for the right candidate. 

Research Fellowship position at Centre for Materials in Energy and Catalysis (CMEC), to engineer energy materials driven by machine learning and AI.

Build your research career at the School of Chemical Engineering and Advanced Materials in a world-class research centre led by ARC Laureate Fellow, Professor Shizhang Qiao.

Supported by DVCR office, this research fellow position aims to conduct pilot research in the area of AI-Driven Materials Discovery.

In the past, new energy material discovery is often trial-and-error based which is onerous and time-consuming. Instead, quantum chemistry based computation could provide atomic-scale insight into different reactions and direct the design of new energy materials. However, due to the complexity of the catalyst surface and reaction intermediates under reaction condition, it is normally challenging to directly link what happens during the reactions and what’s been predicted by computation. With the help of artificial intelligence (AI), it would become feasible to model the reaction in Operando, since AI has the ability to learn from expensive quantum chemistry results and make reliable predictions of key characteristics. In this way, a more reliable link between experiment and theoretical computation could be realized.

The successful applicant will be working in CMEC, with extensive collaboration with Australian Institute for Machine Learning (AIML). CMEC is a materials-engineering research leader, developing new materials and catalysts to enable positive social, environmental and economic impact. It is the home to eight Highly Cited researchers. AIML is the largest machine learning and computer vision group in the country, boasting outstanding research expertise and state of the art facilities recognised on a global scale.

To be successful at Level A you will need:

  • A recent Ph.D. in the field of Material Science/Engineering, Chemical Engineering, Chemistry, Physics, Computer Science, or related discipline areas.
  • A strong track record of research, relative to the career opportunity, in the field of Computational Material Science or Machine Learning, as evidenced by a nationally recognised publication record.
  • Knowledge and experience in; theoretical modelling of materials for energy-related applications, software for computational materials; for example, VASP, Dmol3, CASTEP and programming language for machine learning; for example, Python, TensorFlow, Matlab.
  • Commitment to the principles of equity, diversity and inclusion.

In addition to the above, to be successful at Level B you will need:

  • A strong track record of research in prestigious journals, relative to the career opportunity, in the field of Computational Material Science or Machine Learning, as evidenced by a nationally recognised publication record.
  • Experience in writing and securing external funding.

Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you a vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our core values are integrity, respect, collegiality, excellence and discovery. Our culture is one that welcomes all and embraces diversity. We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.

Learn more at: https://www.adelaide.edu.au/hr/ua/media/5268/staff-values-and-behaviour-framework_0.pdf

The Faculty of ECMS aims to increase the diversity of its staff population and applications from women are particularly encouraged. 

To support our staff and students in their academic lives, the faculty celebrates diversity and has a range of programs available including:

  • A variety of flexible working arrangements
  • Support to staff with caring responsibilities to participate in conferences, workshops, field trips and other approved work-related travel
  • Research support schemes designed to support female academics to enhance and promote their career
  • Childcare facilities

Women’s professional development network opportunities

In addition, we offer a wide range of attractive staff benefits. These include salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your faculty's broader role

The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning - and high-level mathematics. Many of its academic staff are work leaders in their fields and graduates are highly regarded by employers.

Learn more at: ecms.adelaide.edu.au

If you want to change tomorrow, act today

Click on the link below for a copy of the position description and to apply:


Please indicate which level you are applying for.

Applications close 11:55 pm, 16 May 2021.

For further information

For a confidential discussion regarding this position, contact:

Prof Shizhang Qiao
Professor, Chair of Nanotechnology, Australian Laureate Fellow
Director, Centre for Materials in Energy and Catalysis
School of Chemical Engineering and Advanced Materials
University of Adelaide
E: s.qiao@adelaide.edu.au

Dr Yan Jiao
Senior Lecturer, ARC Future Fellow
Director of Research, School of Chemical Engineering and Advanced Materials
University of Adelaide
E: yan.jiao@adelaide.edu.au

You'll find a full position description and/or selection criteria below: (If no links appear, try viewing on another device)

The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.