CSIRO Postdoctoral Fellowship (CINTEL FSP) in Biomolecular Modelling - [Archived Advertisement]

Acknowledgement of Country

CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation

The Opportunity

• Do you have a PhD in Biophysics, Applied Mathematics, Computational Biochemistry, Collaborative Intelligence?
• Do you have experience working at the intersection of Computer Science and Behavioural Science?
• Join the Protein and Molecular Modelling team within CSIRO Manufacturing in this 3-year postdoctoral role 

CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system.
 
The CERC Fellow will be part of the collaborative intelligence (CINTEL) Future Science Platform (FSP) developing tools and processes to integrate artificial and human intelligence in the context of biomolecular modelling.
 
An outstanding opportunity exists for a motivated and skilled researcher to join the Protein and Molecular Modelling (PMM) team in the Manufacturing Business Unit. PMM is a team of multidisciplinary researchers that develop and use methods of applied mathematics, molecular modelling and molecular biology to enable discovery in computational chemistry, medicinal chemistry, biophysics and materials science.
 
The CERC Fellow will conduct research and development of a dynamic framework of collaborative intelligence to support projects in structural biology and biomolecular modelling. An experienced researcher with excellent skills in computational structural biology, molecular biology and ML/AI methods with demonstrated appreciation of human-computer interaction factors will be required. 

The CERC Fellow will need to have experience using a range of biomolecular modelling and bioinformatics software and have a sound knowledge of structural biology and molecular biology to inform decisions about protein biophysics and crystallography. The CERC Fellow will need to have experience in ML/AI methods in the context of biochemistry or bioinformatics and be familiar with all the protein crystallography data repositories and formats. Experience in experimental molecular biology will be a plus, but technical assistance and scientific advice will be available for experimental aspects of the work.

Your duties will include:

• Developing broad, enabling tools and dynamic workflows that facilitate protein modelling, protein crystallization and experimental designs for improved laboratory performance.
• Collaborating with the broader research group to develop and testing new protein modelling methods and predictive tools. 
• Working with other CINTEL FSP researchers to understand and implement the best human-machine collaboration practices.
• Significant enhancement of biological prediction accuracy allowing improved use of extensive, available, complex biological information
• Accelerating generation of in silico data through the development and use of innovative AI/ML collaborative strategies and algorithms.

Location: Clayton, Victoria
Salary: AU$92k - AU$101k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
Reference: 91293

To be considered you will need:

• A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Biophysics, Applied Mathematics, Computational Biochemistry, Collaborative Intelligence or a relevant field. Please note: To be eligible for this role you must have no more than 3 years (or full-time equivalent) of postdoctoral research experience.
• Previous research experience working at the intersection of Computer Science or Modelling and Behavioural Science (including human factors, human-computer interaction or similar). 
• Demonstrated experience in experimental design, ML/AI and statistical analysis of complex data. 
• Demonstrated ability to conduct independent research with limited supervision.
• High level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences.

For full details about this role please view the Position Description

Eligibility

To be eligible to apply for this role, you must be an Australian/New Zealand Citizen, an Australian Permanent Resident, or either hold or be able to obtain a valid working visa (visa sponsorship may be offered to the successful candidate if required).

Appointment to this role is subject to provision of a national police check and may be subject to other security/medical/character requirements.

Flexible Working Arrangements

We work flexibly at CSIRO, offering a range of options for how, when and where you work. 

Diversity and Inclusion

We are working hard to recruit people representing the diversity across our society, and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish. 

About CSIRO

At CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact. 

CSIRO is committed to values-based leadership to inspire performance and unlock the potential of our people.

Join us and start creating tomorrow today!

How to Apply

Please apply on-line and provide a cover letter (including a maximum 5 pages statement addressing the competencies/selection criteria out outlining your experience) and CV that best demonstrate your ability to meet the requirements of this role.

Applications Close

22 March 2023, 11:00pm AEDT