A public university of technology recognised for global impact
Faculty of Engineering & IT / School of Mechanical & Mechatronic Engineering
At UTS the concepts of equity and social justice are key to our core and purpose. We are recognised widely as supporting inclusivity and valuing diversity. Cited as a WGEA Employer of Choice since the inception of the award, we are among the first Australian institutions to receive the Athena SWAN Bronze Accreditation for our commitment to action addressing gender equity in the STEMM disciplines. UTS Equal Futures celebrates and supports women in academia through every stage of their career.
As part of Athena SWAN, UTS has set an overarching target of 40 per cent academic women in STEMM by 2022. The School of Mechanical & Mechatronic Engineering is committed to UTS’s target and supporting the career development of women academics. UTS Women in Engineering & IT program fosters a network of passionate females and males who are actively involved in the development of our next generation of young engineering and IT professionals.
The School of Mechanical & Mechatronic Engineering is recruiting for a Research Fellow / Postdoctoral Research Fellow (Level B) to play a key role in a research-only appointment funded by the project PRO19-9179 – Objective real-time wool scanning, assessment, and packaging in partnership with Industry Partner: Australian Wool Innovation. The position will be based at the centrally located UTS Campus in Ultimo and will report directly to the Head of School, Professor Robert Fitch.
The School of Mechanical & Mechatronic Engineering partner with organisations across industry, government and community sectors to ensure that our research solves real problems and improves the way they operate. Our partners are leaders and innovators across manufacturing, technology, utilities, research and service provision.
About the role
The role will require you to conduct research in the area of Computer Vision, with Monocular Camera and Hyperspectral Camera modalities.
Role requirements include:
• Traditional feature extraction and aspects of machine/deep learning and analysis.
• Producing high quality research publications in perception and sensor fusion.
• Managing others and coordinating multiple project objectives whilst working in multi-disciplinary teams.
• Planning and undertaking theoretical and applied research.
· Master’s degree or PhD in Mechatronics/Robotics or related discipline.
· Knowledge of optimisation techniques; calibration and synchronization of sensors;
· Previous experience in design optimisation and implementation; deep learning; and in computer vision.
· Experience with one or more general purpose programming languages (MATLAB/Python / C++)
Base Salary Range: $107,132 to $126,796 pa (Level B)
This role attracts 17% superannuation (pension) in addition to the base salary.
UTS staff also benefit from a wide range of Employee Benefits include flexible work practices, child care centres, generous parental leave and salary packaging opportunities.
This position is full-time and appointment will be made on a fixed term basis for 30 months.
Our vision is to be a leading public university of technology recognised for our global impact. We are a dynamic and innovative university, ranked by the Times Higher Education as Australia’s top young university, and located centrally in one of the world’s most liveable cities. With a culturally diverse campus life and extensive international exchange and research programs, UTS prepares graduates for the workplaces of today and tomorrow.
How To Apply
For the full list of the selection criteria and role responsibilities please click the apply link and download the Position Statement from the UTS website.
UTS is committed to diversity and inclusion in our workforce and we encourage applicants where relevant to include a relative to opportunity or career disruption/break statement within their CV.
You are required to address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Answering Selection Criteria.
Only those applications submitted via the UTS online recruitment system will be accepted. Current UTS employees should apply through their UTS Employee Self Service function. If you are an internal applicant and need help with how to apply through NEO – Click here.
As you will be unable to save your application once started, please have all required documents and information available prior to commencing.
Please ensure that the file name for each document submitted includes IRC172311.
Specific enquiries or issues with your application may be directed to Pam Price in the UTS Recruitment Team at firstname.lastname@example.org.
Closing Date: Wednesday 4th November 2020 at 11.59pm (AEST)
Due to COVID-19 restrictions on social distancing, the interview process will likely be conducted via Zoom.
Please note: If you have a disability that requires adjustment to the recruitment process or an alternative application pathway please contact email@example.com assistance.
We welcome applications from women, Indigenous Australians, people with disability, those who identify as LGBTIQ and applicants from culturally and linguistically diverse backgrounds.
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