Available projects and internships

Available Internships

Engineering internship with Cytofarms

Engineer the future of farming! Join CytoFarms and tackle real-world challenges in cellular agriculture, biotech, and automation. Innovate with us and make sustainability a reality.

Marketing internship with Cytofarms

Turn your passion into purpose! This internship will give you the chance to work on groundbreaking projects that redefine sustainable food systems. Build your brand, boost your skills, and help us grow the future!

ACCESS-NRI PhD Internship Program - Applications close on 11 September 2026

Be part of a hands-on experience in research software engineering. Development, testing, documentation, and/or release of climate modelling software and data.

Other Industry Opportunities

Resilient and quantum-safe threshold cryptography

This project aims to develop quantum-safe threshold encryption and/or authentication algorithms, along with software prototypes to demonstrate their implementation. The goal is to strengthen the security of Australian critical infrastructure by protecting it against future threats posed by quantum computing.

Techniques and Frameworks for Enabling Post-Quantum Cryptography (PQC) Migration

This project focuses on developing techniques and frameworks to support the migration to post-quantum cryptography (PQC), helping protect critical infrastructure from quantum-based cyber threats. The project will deliver methods, tools, and prototype solutions for trusted PQC migration, enhancing the resilience and security of Australian critical infrastructure against future quantum attacks.

NOₓ production by plasma bubble reactor

Part of CSIRO’s Industry PhD (iPhD) Program, this project explores a plasma bubble reactor that produces nitrogen oxides (NOₓ) from air and water for green ammonia production. The renewable-powered technology offers a sustainable alternative to conventional ammonia synthesis. The student will gain expertise in plasma science, reactor development, chemical analysis, and clean-energy technologies.

Foundation Models for Brain Data

This project is expected to develop a novel EEG foundation model capable of learning unified representations of brain activity from heterogeneous datasets. The research will leverage large-scale EEG recordings collected from multiple devices and experimental paradigms through collaboration with Emotiv, a global neurotechnology company. The resulting model will support applications such as cognitive state estimation, brain–computer interfaces, and mental wellbeing monitoring. The learned representations will also enable integration with language and vision models, supporting emerging capabilities including EEG-to-text decoding and AI-driven neurotechnology applications.

Energy-Efficient Decentralised Training Frameworks for Large-Scale AI Models on Geo-Distributed Infrastructure

The project is expected to generate new knowledge, tools, and practical frameworks for reducing the energy footprint of large-scale AI training while improving the accessibility and efficiency of AI infrastructure. Expected outcomes include novel decentralised training algorithms, energy-efficient orchestration techniques, open-source software artefacts, high-quality research publications, and potential translation pathways into industry systems.

Privacy-Preserving AI for Human-Centric Video Analytics

The research will utilise anonymised industry datasets and be validated using Aervision's commercial AI platforms, providing a direct pathway from research to deployment. The project will contribute to Australia's capability in trustworthy and responsible AI while advancing commercially deployable video analytics technologies.
Available Internships General enquiries: mgro-industry@monash.edu Contact.
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