Fixed Term, Part Time, 0.8 FTE Classification | $75k – $101k plus 17% employer superannuation contributions Salary Packaging opportunities Ref: JR102923
Murdoch University acknowledges the different perspectives, skills and experience that people from different backgrounds bring to strengthen its workforce.
Murdoch University is committed to enhancing diversity in all its forms and strongly encourages suitably qualified candidates from Aboriginal and/or Torres Strait Islander peoples, women, people with disability, people of CaLD background and people of diverse genders to apply for this important position.
About Us Engineering at Murdoch University is part of the Discipline of Engineering and Energy, offering undergraduate and postgraduate programs, including a new Masters program launched in 2023.
The teaching approach emphasises practical, hands-on learning, with workshop-based activities to build professional skills, a focus highly valued by the industry.
Engineering at Murdoch is nationally recognised and has a long history of strong student outcomes.
The Role We seek a highly motivated postdoctoral candidate with enthusiasm for robotics, machine vision and renewable energy.
Experience working with robotics and associated programming or a strong background in renewable energy is required.
Industry experience or evidence of working with industry is desirable as you will be working with Engineers and stakeholders across the energy industry.
Key Aspects of the Project Robotic Ground Vehicle:
Testing, integration and deployment of a Clearpath Husky robotics platform.
Image Analysis Software:
Develop software to analyse images captured by the robot.
Machine Learning for Fault Detection:
Leverage machine learning algorithms to identify problematic PV modules, including issues like cracks, dirt, or malfunctioning cells.
Navigation with Machine Vision:
Enable the robot to navigate the solar farm autonomously using machine vision techniques.
Interpret surroundings, avoid obstacles, and follow optimal paths.
Data Visualisation:
Present findings through effective data visualization techniques.
Applicants should refer to the Position Description for further details on the work requirements, duties, skills and experience required for this role.
Applicants must have valid work rights.
What You'll Get in Return You will be part of a vibrant and talented team, work in an innovative and lively university community and enjoy the benefits that come with working at Murdoch.
Our people enjoy a lively, natural campus and world-class facilities, as well as a range of benefits including: Competitive remuneration Paid leave entitlements Flexible work arrangements Salary packaging options Employee Assistance Program On Campus Services and Facilities, including a Childcare Centre, Gym, Vet Hospital and Chiropractic Clinic
To Apply Please apply by submitting the documents below: A cover letter including a statement addressing the selection criteria (with reference to the Position Description) Your most recent resume (CV)
Applications sent by post or email will not be accepted.
Please note visa sponsorship is not available for this position.
Applicants who have support or access requirements are encouraged to advise this at the time of their application, to ensure appropriate assistance is provided throughout the recruitment process.
Position contact: David Parlevliet, Dean of Engineering and Energy Closing date: 1st October 2024 (11:59pm AWST) The University reserves the right to withdraw this advertisement at any time.
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