Student Teams
What combines technology, social good and hands-on experience? Our student teams!
Embed yourself in a self-managed, multidisciplinary group that’s supported by experienced mentors – collaborating to create a brighter, fairer future for all.
Get holistic experience as a ‘mini-business’
IT Student Teams
We’re proud to support four IT teams under the Monash Student Teams Initiative, open to enthusiastic students from all faculties.
With technology underpinning almost every field, activity and operation, joining one of the groups is a great way to create widespread and lasting impact with your skills.
If you are interested in joining a student team or wish to be notified about team updates, please fill out the Expression of interest forms for the teams you are interested in.
Monash Analysis of Images in Medicine (M-AIM)
Monash Analysis of Imaging in Medicine (AIM) is a student team which creates AI solutions to help diagnose and treat medical conditions. Work with students from both IT and medical faculties to build machine learning and neural networks models that analyse medical images to find illnesses.
Proficient in Python with an understanding of machine learning and neural networks. Ideally skilled in one of the two neural network frameworks (Tensorflow or Torch).
Monash Algorithms and Problem Solving (MAPS)
MAPS aims to foster a community of Monash students interested in competitive programming and algorithms by running weekly educational workshops and hosting programming competitions. Additionally, the team trains for and competes in inter-university programming competitions such as the International Collegiate Programming Competition (ICPC).
Experience with competitive programming, strong programming and/or mathematics skills.
Stay connected: Website, Discord, Instagram, Facebook, LinkedIn, Event Calendar
Monash Assistive Technology Team (MATT)
MATT focuses on creating innovative technologies to enhance the lives of people with disabilities. Through iterative prototyping, testing and fabrication, the team will collaborate with their respective supervisors, and work with the community to design hardware and software. These solutions are tailored to users' needs and promote the distribution of these solutions to the wider community.
Technical expertise with hardware and software systems, lived experiences of disability, experience working alongside people with disabilities.
Monash for AI with Communities (MOSAIC)
At MOSAIC, you'll dive into the worlds of AI and Data Science, using your abilities to build intelligent systems that tackle pressing social issues. You'll get hands-on with Web development to create accessible and user-friendly platforms. What truly drives us is Human-centered computing – we place people and communities at the heart of everything we do, ensuring our tech is genuinely helpful, relevant, and co-designed for those it serves.
Experience or interest in artificial intelligence and machine learning, data science and analytics, web development and programming, human-centered computing and user experience design, or digital health technologies and applications.
Monash Nexus for Emerging Technology (MNET)
MNET provides students with the opportunity to work with cutting-edge technology such as VR/AR/XR, Quantum Computing, and the Web Frontier. Students can co-design and develop experimental projects that shape the future of Monash’s digital ecosystem with support from Monash Smart Manufacturing Hub, FIT Embodied Visualisation Labs, and eSolutions VARS, helping to bridge the gap between academia and industry. Our mission is to equip students with the knowledge and experience needed to excel in both research and industry-related projects.
Proficiency in software and hardware related to XR technologies such as Unity, Unreal Engine, Maya, Swift UI, ARKit, and HoloLens, along with expertise in app development and immersive collaboration tools.
Stay connected: Website, Instagram, Facebook, LinkedIn, Youtube, Discord
Biological Observation Monash (BiOM)
BiOM is a student-led initiative that enables students to apply their environmental science and technology knowledge to support conservation efforts. It aims to bridge the gap between ecological science and digital innovation, providing hands-on experience and transferable skills. BiOM collaborates with academics, researchers, and external partners to create impact-driven projects. Students work on remote sensing, geospatial analysis, and ecological data collection, developing practical solutions to environmental challenges while building confidence and community.
Combining digital tools like GIS, Python, R, and machine learning with hands-on skills in fieldwork, species monitoring, environmental data collection, and applied ecology.
Stay connected: Flyer
Affiliate Engineering Team
Monash DeepNeuron (MDN)
Monash DeepNeuron develops innovative, educational and ethical Artificial Intelligence (AI) and Optimised Computing (OC) projects. Working in fields such as medicine, mathematics and sports, our project teams collaborate with cross-disciplinary researchers and compete in international competitions. Our non-technical teams - Marketing, Industry Engagement, Outreach, and the Law & Ethics Committee, People & Culture - run educational campaigns, network with AI companies, complete school outreach, analyse AI ethics, and cultivate a diverse team culture. Join us at Monash DeepNeuron to shape the future.
Have adequate skills in coding (ideally Python, but not required), strongly motivated and a great team player.
Stay connected: MDN Website, LinkedIn, Facebook, YouTube, Medium, Instagram, EOI
Key Dates
| Applications open | Now |
|---|---|
| Applications close | Wednesday 26 October 2002 |
| Applicant review and interviews | (TBC) Thursday 27 October – Friday 4 November 2022 |
| Applicants notified of outcome | (TBC) Monday 7 November 2022 |