Rmit
ResearchAssistant,ImageProcessing
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Research Assistant, Image Processing at Rmit. Skills: Image Processing, Computer Vision, Python, Machine Learning. Work on photonics. Support research studies”
Industry & Context.
Problem-solving abilities; Determine innovative solutions; Complex problems; Messy background; Object detection issues
Passing a Working with Children Check, Passing a National Police Check
What They're Looking For.
Must Have
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, Attention to detail for ensuring precision in coding and model training, 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
Nice to Have
Familiar with 3D refractive imaging technique with demonstratable track record, Ability to generate alternative funding projects through effective liaison with industry and government
What You'll Do.
Support research studies
Support applied outcomes
How You'll Work.
Team & Collaboration
Work with colleagues; Work with project team leaders; Work with industry partners
Communication Scope
High level of communication skills; Explaining technical project requirements; Explaining progress; Explaining outcomes to non-technical stakeholders
Process & Methodology
Manage varying workloads, Respond to changing priorities
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 l
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