Research Fellow in IoT and Supply Chain
- Digital Innovation Lab, School of Science, Computing and Engineering Technologies
- Full time, fixed term position until Nov 2022 (with possibility of extension), Hawthorn
- Academic Level A.6 - B.1: $89,355 - $100,719 plus 17% super, Hawthorn
About the Job
Swinburne is embarking on an exciting journey, working towards our new vision of bringing people and technology together to build a better world. A unique opportunity has become available to join a vibrant research group to work at the intersection of digital supply chain and IoT. The successful applicant will contribute to a research project funded by iMOVE CRC and Department of Infrastructure, Transport, Regional Development and Communications. The aim of this project is to design, develop and implement a low cost IoT-based solution for real-time tracking and monitoring of fright consignments.
The Research Fellow is positioned within the Digital Innovation Lab, School of Science, Computing and Engineering Technologies and work closely with colleagues from the School of Business, Law and Entrepreneurship. The Research Fellow will support to deliver the industry projects and carry out research at the intersection of internet of things and supply chain.
In particular, the Research Fellow will conduct research in one or more of the following areas:
- Design and develop low-cost IoT devices that can capture and provide information from and perform actions in the IoT enabled supply chain;
- Integration of IoT devices and their data into an IoT data collection platform;
- Devise ML/AI-based techniques for the purpose of monitoring freight assets using IoT data and other data sources
- Devise techniques to support real-time IoT-based analytics on the cloud, at the edge, and on the move, including localisation, and contextualisation of IoT data;
- Development of visualisation dashboard for real time monitoring of asset data such as temperature, location, vibration, humidity, etc and integrate this with a supply chain platform
In project delivery tasks, the research fellow is expected work closely with a team of Research Engineers and students and undertake design, development, implementation and testing of IoT solutions and systems applicable to IoT enabled supply chain analytics and traceability. Ability to understand the business needs and to incorporate these needs into technical solutions is an important requirement.
The research fellow will have a unique opportunity to work in a leading Australian Lab in the digital and supply chain area and to be mentored by globally known academics in the field. Please note, this is a fixed term 1-year position with the possibility of extension.
About Swinburne University of Technology
Swinburne is a young university with a long history. As a dual-sector university of technology, born of a technical college, we are proud of Swinburne’s technology DNA, and of our national and global standing. Our contribution to Technology, Entrepreneurship, Innovation and the STEM disciplines, and our track record of meaningful industry and community engagement, are natural manifestations of the legacy initiated by the vision of our founders George and Ethel Swinburne in 1902. We offer postgraduate, undergraduate, vocational education and online education to provide students with a variety of work-relevant pathways.
Swinburne University of Technology (SUT) has recently been ranked in the QS top 100 universities under 50 (years) and is one of Australia’s leading universities in the physical sciences and engineering. Swinburne’s research excellence has also been independently confirmed by the world’s most prestigious university rankings, including Top 300 universities in the world by the Academic Ranking of World Universities 2021.
To be suitable for the role you will have:
- Doctoral qualification in Computer Science or Electrical/Electronics.
- A track record of quality research as evidenced by research publications in top journals and conferences
- Prior research experience in at least one of the following: IoT analytics, machine learning/AI specific to IoT and/or embedded systems.
- Previous software development experience using some of the following: Java/C#/C++/Ruby/PERL, SQL, Python and R.
- Knowledge and experience working with cloud platforms such as AWS, Microsoft Azure and Google Cloud Platform
A full list of selection criteria is available within the position description.
To find out more about the extensive range of benefits offered to Swinburne employees please visit Careers at Swinburne and refer to ‘Benefits’ section.
How to apply and further information
To view the position description or to start an application please click on apply or ‘begin’ and submit a resume, cover letter and a response to the Key Selection Criteria, as listed in the position description.
For further information about this position, please contact A/Prof Prem Prakash Jayaraman (email@example.com) or Dr Hadi GhaderiContact (firstname.lastname@example.org)
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Diversity and Inclusion
Equity and diversity are integral to achieving our 2025 vision of bringing people and technology together to build a better world. Swinburne is a large and culturally diverse organisation and we are proud of our commitment to equity and inclusion through key initiatives such as:
- Reconciliation Action Plan
- Charter of Cultural Diversity
- Science in Australia Gender Equity (SAGE) Action Plan
- Swinburne LGBTIQA+ Pride, Gender Equality, Accessibility and Intergenerational inclusion strategies
For further information on all our initiatives visit our equity and diversity website. We welcome and encourage applicants from diverse backgrounds to apply.
Assistance and Support
We are committed to making the recruitment process fair and equitable for all our candidates. If you have specific accessibility or support requirements please contact Maree Norden, Diversity & Inclusion Manager at firstname.lastname@example.org. For support or queries related to Aboriginal and Torres Strait Islander employment, please contact Timothy Werner at DeadlyCareers@swin.edu.au
Swinburne offers flexible working options, leave and parenting/carer policies to support work life balance.
Applications close at 5 pm, Friday 29th October 2021
(Agency enquiries will not be accepted for this position)