- Are you passionate about transport modelling?
- Prestigious Postdoctoral Fellowship on offer - kick-start your research career
- Join CSIRO's Data61 - Australia's largest data innovation group
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 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.
At Data61 we bring together exceptional people from research and industry to create an ICT research Centre of Excellence in Australia. The Advanced Data Analytics in Transport (ADAIT) is a prestigious research and development team of Data61. The ADAIT team resides in the Analytics Program at Data61, one of the Top 5 world-leading research groups in its league.
The team is engaged with Transport for NSW on an innovation program to develop a transport data analytics platform (referred to as the ADAIT Platform) for urban transport management. The ADAIT Platform aims to break the fragmented data view of the urban transport system, and establish an integrate data management and analytic capability. The platform is intended to provide analytics-as-a-service to end-users and capable of leveraging distributed data storage and cloud computing facilities. Additional information on the ADAIT team can be found at www.adait.io
Location: Eveleigh, NSW
Salary: AU $80K - AU $91K plus up to 15.4% superannuation
Tenure: Specified Term of 2 years
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, Machine Learning, Transportation, Mathematics or other related field. Please note: To be eligible for this role you must have no more than 3 years of relevant postdoctoral experience.
- Highly proficient in advanced mathematics including, but not limited to, constraint programming, graph theory, stochastic process and Bayesian inference.
- Proven records on applying mathematical solution to transportation problems, e.g. transport demand modelling, traffic assignment, traffic control or travel behavioural analysis.
- Highly proficient on transport simulation tools, e.g. AIMSUN, VISSIM or Paramics.
- Strong programming skills in either C++, Java, Python, R, or MATLAB.
- The ability to work effectively as part of a multi-disciplinary team and carry out independent individual research, to achieve organisational goals.
- A record of science innovation and creativity plus the ability & willingness to incorporate novel ideas and approaches into scientific investigations.
- Demonstrated ability to allocate activities, directs tasks and manage resources to meet objectives. Provide coaching and on the job training, recognise and supports staff achievements and foster open communication in the team.
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 close 10:59pm (AEST) on Monday 19th February 2018.