Address
Form of work- Department of Computing Technologies
- Full-time, fixed-term position at our Hawthorn campus
- Attractive salary and benefits with flexible working options
About the Role
Join Swinburne University's dynamic research group to lead and contribute to groundbreaking projects in IoT, Machine Vision, and Intelligent Robotics. This role offers the chance to spearhead research across diverse industry applications such as Digital Health, Industry 4.0, and Smart Cities. As a successful applicant, you will drive innovation by developing digital solutions with a primary focus on IoT, Machine Vision, and Robotics, shaping the future of industries.
The Senior Research Fellow at Swinburne Universitys Digital Innovation Lab, part of the School of Science, Computing, and Engineering Technologies, collaborates closely with colleagues across departments, especially the Factory of the Future. This pivotal role involves leading industry-funded R&D projects, developing innovative proof-of-concept solutions, securing external industry funding through grant writing, and supervising PhD, Masters, and Bachelors capstone/internship projects.
The successful candidate will spearhead the translation of research findings into practical solutions for industry projects, focusing on Internet of Things (IoT), Machine Vision, and Intelligent Robotics. Essential to the role is the capability to comprehend and effectively address the business requirements of industry partners, integrating these needs into the development of proof-of-concept technical solutions. Working within a collaborative team of multidisciplinary scientists, engineers, and subject matter experts is a fundamental aspect of this position.
About You
To be suitable for this role you will need to have experience in the below key accountabilities:
- More than 4 years of demonstrable experience working on industry-funded R&D projects.
- A track record of leading/co-leading research translation outcomes in one or more of the following domains - Smart Cities, Transportation, Advanced Manufacturing, Digital Health, and Supply Chain.
- A strong research track record in areas such as Internet of Things, Computer Vision, Intelligent Robotics
- Deep knowledge of software programming languages and open-source libraries including the following (and not limited to): C/C++, BASH, Python, ROS framework, OpenCV, Point Cloud Library (PLC).
- Demonstrated experience/familiarity with software development on IoT devices (e.g. Arduino, raspberry PI., NVIDIA Jetson, etc.) and knowledge of GNU/Linux systems
- Proven experience in conceptualising, developing and implementing complete R&D proof-of-concept technology solutions
- A strong research track record in areas such as Internet of Things, Computer Vision, Intelligent Robotics
Qualifications
- Doctoral qualification in Computer Science, Computer Engineering, Internet of Things, or a related computing intensive field
About Swinburne University of Technology
Swinburne Horizon 2025 draws upon our understanding of future challenges. With this new strategic plan, we choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship, and proud of it. We are committed to a differentiated university proposition in education and research, so that:
- Every Swinburne learner gets a work experience
- Every Swinburne graduate gets a job
- Every Swinburne partner gets a tech solution
- Swinburne is the prototype of global best practice
The achievement of our 2025 moon shots depends on our capacity to work collectively, always, as One Swinburne.
To Apply
Please submit your CV and cover letter addressing your suitability for this position.
To review the Position Description and to apply, please scroll down to the bottom of the page.
If you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to Swinburne’s Jobs website to access the Position Description at the bottom of the page.
For more information about this role, please contact Prem Prakash Jayaraman **********@swin.edu.au
Please Note: Appointment to this position is subject to passing a Working with Children Check.
If you are experiencing technical difficulties with your application, please contact the Swinburne Talent Acquisition Team on ***************@swin.edu.au.
Applications Close: Monday, March 25th at 11pm
Swinburne offers flexible working options, leave and parenting/carer policies to support work life balance.
Equity and Diversity
Swinburne is a large and culturally diverse organisation and we are proud of our commitment to equity, diversity and inclusion through key initiatives. For further information on all our initiatives visit our Equity & Diversity website.
We welcome and encourage applicants from diverse backgrounds to apply.
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 *********@swin.edu.au
Aboriginal and Torres Strait Islander Applicants
We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.
For any support please contact *************@swin.edu.au or for more information on our Indigenous strategies please follow the link to our RAP Reconciliation Action Plan
Victoria’s Commitment to Action: Improving international student employment outcomes
As a signatory to Victoria’s Commitment to Action, Swinburne seeks to remove barriers to international graduate employment. We welcome and encourage applications from international graduates.
We are a 2023 Circle Back Initiative Employer – we commit to respond to every applicant
