- Apply your expertise in a dynamic, professioanl environment
- Work with one of the top 5 world-leading research groups in its league
- Join CSIRO's Data61 and help create our data driven future
CSIRO's Data61 has an outstanding opportunity for an innovative researcher with highly developed mathematical expertise to join their Advanced Data Analytics in Transport Team.
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 integrated 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
In this role you will draw on your professional expertise and research experience to develop and deploy predictive models for the operations of multi-modal transport, intelligent mobility services and transport network management.
More specifically you will:
- Propose innovations and publish research papers on work related subjects.
- Design, develop and maintain predictive machine learning models.
- Design, develop and maintain software and toolkits in raw data analytics, model calibration, model verification and visualization.
- Integrate machine learning models into the ADAIT platform.
Location: Eveleigh, Sydney NSW
Salary: $95K - $103K plus up to 15.4% superannuation
Job reference: 52820
To be successful you will need:
- A doctorate or equivalent research experience in a relevant discipline area, such as mathematics, computer science, machine learning, artificial intelligence and transportation science.
A minimum of three years experience working as a postdoc researcher, research scientist or junior academic staff on related subjects.
A solid record of publication in quality, peer reviewed journals.
High proficiency in advanced mathematics including constraint programming, graph theory, stochastic process and Bayesian inference.
A proven record of applying mathematical solutions to machine learning problems, e.g. Behavioural Modelling, Natural Language Processing, Image Processing or Recommendation Systems.
Strong programming skills in either C++, Java, Python, R, or MATLAB.
Before you apply please view the full position details and selection criteria here: Position description
About us: The Commonwealth Scientific and Industrial Research Organisation (CSIRO)
We imagine. We collaborate. We innovate. 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 do this by using science and technology to solve real issues. Diversity is the compass that navigates our innovation. We provide an inclusive workplace that respects, values and actively pursues the benefits of a diverse workforce.
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
About Data61: In today’s data-focused world, there’s no doubt that numbers count. Data61 are the largest data innovation group in Australia, a connector that brings together technology innovators, businesses and universities to transform Australian industry and to help solve our greatest challenges. A CSIRO business, we are creating our data-driven future.
How to apply: If you wish to apply for this position, please upload 1 document only containing your resume that best demonstrates your ability to meet the requirements of the role as defined in the Position description document.
Applications close: 11:59pm AEDT, 29 January 2018