First listed on: 11 May 2018

CSIRO Postdoctoral Fellowship in Materials Data Science 

  • Are you a highly motivated recent (or near) PhD graduate with an interest in materials data science?
  • Prestigious Postdoctoral Fellowship on offer - kick-start your research career
  • Join CSIRO's Data61 - Australia's largest data innovation group

The Position

Postdoctoral Fellowships at CSIRO provide opportunities to scientists and engineers, who have completed their doctorate and have less than three years relevant postdoctoral work experience.  These fellowships will help launch their careers, provide experience that will enhance their career prospects, and facilitate the recruitment and development of potential leaders for CSIRO.

Postdoctoral Fellows are appointed for up to three years and will work closely with a leading Research Scientist or Engineer in their respective field. They carry out innovative, impactful research of strategic importance to CSIRO with the possibility of novel and important scientific outcomes. They present the findings in appropriate publications and at conferences.

In this position you will develop a new industry-specific materials informatics platform to enable Industry 4.0; drawing on computational and experimental data, and employing materials informatics (machine and deep learning) to explore complex industrially relevant structure/property relationships.  You will integrate established physico-chemical modelling methods with data analysis methods to link process conditions to verifiable performance criteria, and collaborate with university experimentalists and our industry partner.

Location:      Docklands, VIC
Salary:          AU $80K - AU $91K plus up to 15.4% superannuation
Tenure:         Specified Term of 3 years
Reference:    57038

To be successful you will need:

  • A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Computer Science, Data Science, Statistics or Computational Modelling. Please note: To be eligible for this role you must have no more than 3 years of relevant postdoctoral experience.
  • A detailed knowledge and demonstrated proficiency in the development of relational and non-relational databases.
  • A detailed knowledge and demonstrated proficiency of machine learning, deep learning and data science methods and their application to diverse data sets.
  • Proven experience, as evidenced by examples, in data fusion methods.
  • Demonstrated experience (beyond university courses) in writing and maintaining user-friendly software,  tools and scripts including scientific programming using two or more languages including Python and SQL (both are essential), and/or R/Java/C++.
  • The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, plus the motivation and discipline to carry out autonomous research.
  • A record of science innovation and creativity, plus the ability & willingness to incorporate novel ideas and approaches into scientific investigations.

Before applying, we encourage you to read the full position description for this role. This document can be viewed at:

Position details document

Who we are: The Commonwealth Scientific and Industrial Research Organisation (CSIRO)

At CSIRO, we do the extraordinary every day.  We innovate for tomorrow and help improve today - for our customers, all Australians and the world. We imagine.  We collaborate.  We innovate.

We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you. Find out more! CSIRO Balance

How to Apply:  To apply, please provide a CV as well as a cover letter addressing the selection criteria in brief, and upload these as one document. If your application proceeds to the next stage you may be asked to provide additional information.

Applications Close:  Applications will remain open until 10:59pm AEST on Tuesday 19th June 2018

 
For selection documentation
and details on how to apply visit
www.csiro.au/careers or call 1300 984 220



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