The Distributed Sensing Systems Group has an open postdoc position in the area of analytics on wireless embedded devices.
Launch your Postdoctoral career, extend your professional network and greatly enhance your future in science and technology whilst solving problems in physiological sensing of animal species in marine environments. The postdoctoral fellowship is part of the CSIRO’s Active Integrated Matter (AIM) Future Science platform. AIM is one of six Future Science Platforms funded by a new CSIRO cross-disciplinary initiative on future science that combines innovation in materials, robotics, sensing, and autonomy. Specifically, the main goal of this project is to develop energy efficient data analytics and machine learning algorithms for distributed embedded systems.
You will develop classifiers for small Internet of Things (IoT) devices, distributed machine learning algorithms that can overcome limitations of individual IoT devices, and algorithms that can augment limited on-board computational resources through calculations on a backend server or GPU cluster. In collaboration with an interdisciplinary research team, you will apply algorithms to tracking animal species in remote environments, in-situ measurements of physiology, health, and behaviour of animals, and indirect inference and monitoring of stressors, diseases, and physiological anomalies in natural ecosystems.
The main application area is to improve CSIRO’s monitoring capability in marine environments, however, the fellow will have an opportunity to apply the algorithms in several exciting environments, such as working with elephants in Africa, jaguars in Amazon rainforest, and water buffalos in north Queensland.
The full position details, including application instructions, are available via the CSIRO jobs site.
I’ll be visiting Prof. Niki Trigoni’s group at Oxford University in August focusing on collaborations in the tracking and sensing areas.
Our work on designing a Blockchain architecture for IoT Security and Privacy has been discussed in a recently published article in Forbes. Read the full article here.
I’ll be giving a talk organised by the IEEE Computer Society, QLD, at University of Southern QLD on July 26, 2017. In this talk, I will discuss tracking research at the Distributed Sensing Systems Group in Data61 | CSIRO, covering the challenges and opportunities, such as energy-neutrality, scalability, security/privacy, and data fusion. I will also discuss our tracking projects and applications, ranging from tracking animals, such as flying foxes, feral pigs and buffaloes, and livestock, to people, both through mobile devices and geo-tagged social media, and objects of interest. More information here.
The DSS Group will contribute to a new project to develop real-time tracking of feral pigs and buffaloes in remote North Australia. The project brings together CSIRO, James Cook University (JCU) and three Aboriginal organisations through a Department of Agriculture grant.
In remote Northern Australia properties are vast with limited seasonal access. In these large connected landscapes feral pigs and buffalo are controlled on an annual basis with limited success despite significant investment in time and money. This project will develop an Internet of Things low power network connected with advanced low cost tracking devices and big data analytical techniques to develop a real time pest species tracking system including environmental sensors.
Using these data, scientists and land managers will work together to develop end user products that will be used to inform strategic integrated pest management programmes.
More on this project on the DSS group website.
The Distributed Sensing Systems Group is hiring a new postdoctoral research fellow in Spatiotemporal Data Fusion and Network Science. The postdoc will work in our growing project exploring data fusion of mobility data streams for disease spread prediction. Interested candidates should submit their application documents through the CSIRO jobs site.
Our paper titled “Towards an Optimized BlockChain for IoT” has just been accepted the IoT Design and Implementation Conference, as part of CPS Week 2017, taking in place in Pittsburgh in April. The paper proposes a lightweight blockchain-based security and privacy architecture for IoT, that maintains most of the benefits of classical blockchains.