Position Details:
- Fixed Term until March 2027 | Full-Time
- Academic Level A | $86,423 - $104,734 p.a. + 17% Super
- Academic Level B | $110,127 - $130,325p.a. + 17% Super
- Location: Tonsley
- View Research Associate (Level A) Position Description
- View Research Fellow (Level B) Position Description
About the Role
The College of Science and Engineering is seeking a Research Associate/Fellow in Computer Vision to undertake cutting edge research into Koala Detection Using Biologically Inspired Vision, under the direction of Associate Professor, Dr Russell Brinkworth. The focus of this project is to detect wildlife in forests without disruption, for the purpose of conservation and wildlife preservation.
The Research Associate/Fellow will assist in leading the design and execution of the research project by performing tasks including, developing and implementing target detection techniques, software coding of embedded computing hardware and by integrating infrared and visual imaging technology. The outcome of this project will be to work with a local SME to develop and implement a new product.
To be successful in this role, you will:
- Play a lead role in coordinating, planning and executing the project tasks required to collaborate with industry partners.
- Independently contribute to the planning and execution of research by offering new and innovative ideas, reviewing relevant literature and other sources of information, actively participate in the production of data, contribute to the writing and editing of grant applications and attending seminars, meetings and conferences.
- Independently contribute to ethical, high quality and innovative research and evaluation.
About You
With a strong research track history, your well-developed technical and analytical skills will elevate the quality of research undertaken and the overall outcome of the project.
You will be capable of working independently and in a team environment to develop, improve and implement new technology. You will be a good communicator, capable of establishing and maintaining positive relationships with a range of internal and external stakeholders.
Candidates will be determined to be suitable for a Level A or Level B position depending on their relevant experience. The successful candidate will also demonstrate:
- Completion of a PhD in Electrical & Electronic or Robotic Engineering or Computer Science or a related field (a skillset in machine vision, machine learning or signal processing is highly desirable).
- Demonstrated experience in qualitative and quantitative research methodology.
- Experience delivering project targets on time.
- Demonstrated ability to plan and execute data collection and analysis.
About the College of Science and Engineering
At the College of Science and Engineering we believe in the power of science and engineering to solve real world problems. Our vision is to provide internationally recognised science and engineering education programs that are accessible, student centred, innovative and impactful. As well as being globally recognised for our research to advance science and engineering by creating new technologies that make our world more connected, secure, healthy, and sustainable. We seek to understand the past, but also to create the world of the future. Our College is an exciting place to research, study, and work, supported by best practice teaching methods, practical work-related learning, and advanced facilities.
Life at Flinders
We're transforming and investing in people and facilities to create contemporary, stimulating, and satisfying learning and work environments that reflect our core values of excellence, innovation, courage, and integrity. Flinders is refocusing its strategic priorities with the aim of elevating its performance to be a top ten Australian university, and amongst the top 1% in the world.
Reaching beyond the limits of buildings, borders, and backgrounds, ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders?
- 17% Superannuation + salary packaging options
- Flexible working arrangements
- Wide range of professional development activities and services
- We embrace diversity and promote equity and inclusion for all students and staff
- Vibrant campus life and amenities including on campus health care services, gymand childcare centre (Bedford Park, South Australia).
Prescribed Conditions for Employment
- A valid National Police Certificate which is satisfactory to the University will also be required before the successful applicant can commence in this position.
- Please note that you may be required to provide evidence that you are up to date with COVID-19 vaccinations, in line with the Flinders University COVID-19 Vaccination Policy.
How to Apply and Information
- To apply online, please visit the Jobs@Flinders website via the job portal: JR0000011824 Research Associate/Fellow in Computer Vision
- You are required to submit a Suitability Statement of no more than 3 pages, addressing the Key Position Capabilities of the relevant position you are applying for:
- For more information regarding this position, we strongly encourage you to contact Russell Brinkworth.
- Please see here for our Reconciliation Action Plan
- Please see here for our Indigenous Workforce Strategy
Applications to be submitted before 10:00 pm Sunday, 20 October 2024
Please note, late applications and applications sent via agencies will not be accepted.
At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities.