In-Demand Rmit Jobs | SimplyHired

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Research Assistant, Image Processing

RMIT University -
Melbourne VIC

Apply Now

Job Details

Full-time
$80,755 - $109,536 a year

Qualifications

Doctoral degree
Computer vision
Engineering
Data structures
Working with children
Machine learning
Deep learning
Computer skills
Communication skills

Full Job Description

Overview:

1 x full time, fixed term (2 years) position available in the School of Science within STEM College
Salary Academic Level A ($80,755 - $109,536) + 17% Superannuation
Based at the City, but may be required to work and/or be based at other campuses of the University

About the Role

The Research Assistant will work on photonics and integrated photonic systems, including on-chip optical technologies and light–matter interaction at micro- and nanoscale levels.

The role is part of the ARC E2Crop Hub and the Centre for Atomaterials and Nanomanufacturing at RMIT University. These programs focus on developing technologies for energy-efficient systems, renewable energy integration, advanced materials, sensing, and sustainable production.

The position involves supporting research that spans both fundamental studies and applied outcomes, with applications in energy systems, environmental monitoring, advanced manufacturing, and controlled environment agriculture.

About You

Proficiency in programming languages, including Python, C++, or Java, focusing on algorithms and data structures applied explicitly in computer vision projects
Knowledge of machine learning and deep learning frameworks, including TensorFlow or PyTorch
Knowledge of neural networks – especially convolutional neural networks (CNNs)
Understanding of image processing techniques – including filtering, edge detection, and image segmentation– for manipulating images
Familiarity with computer vision libraries, like OpenCV or Dlib, for developing and implementing vision-based models
Familiar with 3D refractive imaging technique with demonstratable track record.
Mathematical skills in linear algebra, calculus, and statistics for algorithm development and data analysis
Evidence of research output including high quality publications, conference contributions and/or technical reports in the field.
Ability to generate alternative funding projects through effective liaison with industry and government.
Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability to confidently and effectively work with colleagues, project team leaders, and industry partners
Demonstrated ability to meet deadlines and effectively manage varying workloads and respond to changing priorities as required. Demonstrated high level of communication skills.

Qualifications

Mandatory:

Ph.D. degree in Optical engineering, Applied Physics, or Computer Science
Problem-solving abilities for determining innovative solutions to the complex problems common to computer vision engineering – such as dealing with messy background or addressing issues with object detection.
Attention to detail for ensuring precision in coding and model training – and enhancing the accuracy and reliability of computer vision applications.
Collaborative skills for working effectively with data scientists, software developers, and project managers.
Adaptability, including a willingness to stay updated with the rapidly evolving field of computer vision and learn new techniques and technologies as they emerge.
Communication skills for explaining technical project requirements, progress, and outcomes to non-technical stakeholders

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

To Apply

Please submit your CV and covering letter and address the Key Selection Criteria for this position by clicking on the ‘Apply’ link at the top of this page.

For more information on this role, please connect with Dr. Mingdeng Luo, ARC E2Crop Hub Manager at [email protected]

Position Description - Research Assistant, Image Processing

Please note, if you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements.

Applications Close:

23 June 2026 11.59 pm

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community, and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

In line with RMIT University’s commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes. All applicants will be required to complete a gender‑based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence. Preferred candidates will also be required to undertake relevant pre‑employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT’s safety obligations.

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via [email protected] or visit our Careers page for more contact information - https://www.rmit.edu.au/careers.

We are a Circle Back Initiative Employer – we commit to respond to every applicant.

Apply Now

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