About this Opportunity

Fixed-Term (until 26.06.2027), Full-Time

School of Engineering and Technology

CQUniversity Melbourne

Total Remuneration $108,058 to $128,750 pa (including salary of $91,311 to $108,796 plus 17% superannuation and leave loading)

Join an organisation with an unbreakable belief that quality education, training and research should be available to everyone – regardless of background, location or life circumstances.

Working at CQUniversity

CQUniversity is seeking a highly motivated Postdoctoral Research Fellow to contribute to a cutting-edge, grant-funded project focused on intelligent IoT/Drone-assisted precision weed management.

Our School of Engineering and Technology focuses on applied research in mechatronics, automation, machine learning, and smart systems. It partners with industry to deliver impactful solutions, including drone-based precision agriculture, while fostering a supportive, research-driven environment ideal for postdoctoral researchers tackling real-world challenges.

This role offers the opportunity to work within a dynamic research team, advancing expertise in drone navigation, image processing, and mechatronics. You’ll contribute to the design, development, and field testing of an intelligent drone-based weed management system, including CAD design, prototype fabrication, data analysis, and stakeholder collaboration—delivering real-world impact through innovative agricultural technology.

Be Rewarded

17% superannuation (with the choice to join an award-winning superfund)

6 weeks annual leave (incl. Christmas and New Year closure)

10 days personal/sick leave, plus 5 days carer’s leave

7.25 hours engaged service leave

Fantastic professional and career development opportunities

Up to 26 weeks (six months) paid parental leave

Access to an Employee Assistance Program and Fitness Passport

Position Requirements

A doctoral degree in Computing, Mechatronics, Mechanical Engineering, or a related field, with experience in drone navigation, image processing, machine learning, IoT, and Python programming.

Strong research skills including problem-solving, project management and reporting, modelling/simulation, and preparation of technical documentation.

Communication and integration of Internet of Drones (IoD) and Internet of Things (IoT) systems, including GPS mapping enabled by image processing.

Research experience and/or contribution which has resulted in publications, conference papers, reports or professional or technical contributions which give evidence of research potential. (Desirable)

Position Description

For further information about this position, please refer to the Position Description on the CQUniversity Careers Site.

Apply today for a career that changes lives

Applications Close: 11:59pm, Thursday, 27 November 2025

Job Requisition ID: 6604

When submitting your application, please include: Your Current CV or Resume, and a 1-2 page Cover Letter highlighting your relevant skills, experience and suitability for the position.

Work Rights: Visa sponsorship is not available for this position. Candidates must hold the full rights to work in Australia to be considered for this appointment.

CQUniversity is an equal opportunity employer and welcomes diversity in the workplace. Aboriginal and Torres Strait Islander people, and CQUniversity’s domestic and international student graduates with post-study work rights are encouraged to apply.

Keywords: Drone navigation | Machine learning | Mechatronics | Precision agriculture | Postdoctoral research | Applied research | Research publications | Experimental design | Field trials | Technical reporting | Research collaboration | Industry engagement | Grant-Funded Projects | STEM Research | Engineering Innovation | Innovation in Agriculture | Environmental Technology