Business description:
Our company develops autonomous detection solutions for airborne search and surveillance applications with Defence and civil security organisations. Our core focus is software processing high resolution video in real-time, but our solutions now extend to include design and specification of custom hardware to add cameras, processing and locational hardware to manned and unmanned aircraft.
Projects / tasks:
Our company has a range of high priority technology exploration projects to investigate the application of deep learning and computer vision for surveillance purposes using a wide range of camera and compute platforms.
Technical skills:
Python, TensorFlow, Pytorch, C++, Convolutional Neural Networks
Intern interpersonal qualities:
Strong interest in Neural Networks & Computer Vision. Self-motivated, flexible, independent.
Business description:
MarIInE lab is a specialised research facility at the Australian Maritime College (AMC). It includes environmental, risk and safety academics and Centre of Maritime Engineering and Hydrodynamics students of AMC. This group is actively collaborating with national and internationally known researchers in the field. Also, it collaborates with the government and national and international shipping, defence, and offshore industry. Its research interest includes a wide range of theoretical and applied research activities mainly related to these industries.
Key areas of services available through the MarIInE lab include:
- Academic and commercial research on maritime Infrastructure Integrity and Environmental issues.
- Providing new knowledge to solve complex problems related to environmental, safety, reliability and risk engineering.
- Developing new technology to improve the safety and sustainability of shipping, offshore and onshore oil & gas, and mining operations.
Projects / tasks:
Project #1
The intern will investigate, consider and report on Autonomous Maritime System data management and workflows. Specifically, the internship will focus on how AMS data produced by the facilities’ operational AUVs/USVs can best be handled, stored and readily accessed.
Autonomous Maritime Systems, i.e. AUVs and USVs record large amounts of sensor and platform data. This data is both time and geo referenced. The creation of robust data workflows, systems and management processes can allow this data to be used to support operational as well as technical outcomes.
Equipment manufactures of AUV’s and USVs do not focus on post mission data handling and management systems. This is an area of interest to the AMC and also the Commonwealth as they continue to take up and employ AMS technologies.
A variety of design, coding, and testing tasks are required to bring this project to life. This project will extend on one undertaken by our company in support of the Commonwealth in Q2 2023.
Project #2
The intern will investigate, consider and report on Autonomous Maritime System cyber vulnerabilities. Specifically, the internship will focus on how AMS million plans and data produced by the facilities’ operational AUVs/USVs can best be handled, transmitted, stored and kept secure.
Autonomous Maritime Systems, i.e. AUVs and USVs rely on common technology stacks, though they may not receive software updates as frequently as desktop computers or servers. They are therefore potentially vulnerable to the malicious alteration of planned missions, reliable execution and post-mission data alteration, exfiltration or loss through cyber attacks.
Threat assessment is to include both the identification of vulnerabilities in the field and during pre and post-mission activities.
A variety of design, coding, and testing tasks are required to bring this project to life. This project area is a high priority for the AMSL research group and one that we are actively investigating.
Technical skills:
Project #1
Programming experience in Python or Matlab with a willingness to learn is required.
Experience with JSON, SQLite, or other data storage and communication standards are desirable. Familiarity with GIS applications, protocols, and standards are also valuable.
Programming experience in, C++, JavaScript, or HTML are desirable.
Project #2
Programming experience in Python or Matlab with a willingness to learn is required.
Familiarity with penetration testing, packet sniffing, MitM attacks, Wifi pineapples, denial of service, or acoustic modems are particularly desirable.
Knowledge of communication standards such as TCP/UDP and RS232, general networking, and software/hardware interfacing and experience with LINUX/OSX based computers would be beneficial.
Intern interpersonal qualities:
Strong communication skills are needed to work with the project leader and team of AUV/USV engineers to capture specifications, report on progress, manage issues and document developments/progress.
The candidate will need to work within a multi-disciplinary team from varying technical backgrounds.
Business description:
Design, prototype and productise innovative new technologies that support systems-testing and Defence training.
Includes uncrewed ground robots, projectile locating systems, thermal signature generation and many more.
Projects / tasks:
We currently have >10 mechanical / software / electronic projects that you can select from, or work with our engineering team to come up with your own.
The focus for each is on innovative technology that benefits the military training environment and is in line with our strategic direction. Due to the commercially sensitive nature of our work, the specific project titles can be discussed upon application.
Like all our innovations, your time at our headquarters will be exciting, relevant, cutting-edge, and provide you with valuable experience that you can apply practically to all engineering domains. Our team is dynamic, experienced and fun.
Technical skills:
SolidWorks, Altium Designer, C / C++ / C#, Python, Javascript, Arduino Studio, Visual Studio Code, Visual Studio, Platform IO, Github
Intern interpersonal qualities:
Positive attitude, friendly, clear communicator, willingness to try new things, honest, reliable, adaptable, committed, punctual, creative thinker.
Business description:
Our company produces satellite edge computing hardware and associated software. This ranges from code to control the hardware to website frontend software to manage order placements and delivery.
Projects / tasks:
Learning about and developing space ready software, including communication with satellite busses; transforming earth observation data for use in machine learning; ground support systems for tasking and maintaining satellite payloads; data compression algorithms; and more.
Technical skills:
Experience with at least one of the following:
- Python, especially frameworks such as:
- opencv/rasterio
- django/flask/fastapi
- tensorflow/pytorch
- Javascript, especially frameworks such as:
- React
- Mapbox
- Rust
Intern interpersonal qualities:
Excellent communications skills (verbal and written), an interest in any of the following areas: space, programming, hardware design.
Involved in extracurricular activities / side projects and an ability to work independently.
Business description:
Development of Software Systems for Command and Control of Electronic Radio Frequency Sensors and Systems.
Projects / tasks:
(AI, Data Science & Software Engineering Internships) Step into the practical realm of AI, Data Science, and Software engineering with our focused internship experiences. We’re offering projects across diverse domains, each adjustable to your specific interests and skills:
- Large Language Models: Dive deep into AI by exploring large language models and fine-tuning techniques, pushing the boundaries of machine learning innovation.
- AI Model Deployment: Gain practical experience in deploying AI models within Docker containers and developing robust APIs for seamless interactions.
- Signal Processing and Software development: Engage in an exciting project involving the replay of annotated spectrograms using Software-Defined Radio (SDR) data, merging the fields of data science and signal processing.
- Simulation Metrics Conversion: Embark on a unique project converting simulation metrics into a structured relational database format, enhancing data accessibility, and promoting efficient analysis.
Under the mentorship of our seasoned professionals, you’ll gain hands-on experience and have the opportunity to drive innovation in the fields of AI and Software. Join our team and shape your own unique journey in this rapidly evolving technological arena.
Technical skills:
- Python
- PyTorch/TensorFlow
- Transformers (Hugging Face library)
- Docker
- GNU radio
- SciPy
Intern interpersonal qualities:
Our ideal intern would demonstrate a strong capacity for independent problem-solving and a proactive attitude towards learning new tools and frameworks as needed. A foundation in scientific computing/software engineering, acquired through academic courses or self-learning, is essential.
Business description:
Our company is an Australian engineering company that designs and develops systems for defence applications in the area of underwater acoustics. This includes sonar systems, acoustic analysis tools and recording systems which are supplied to Australian and foreign defence forces. We are also engaged in R&D programs related to this domain.
Projects / tasks:
The intern would be involved in projects and tasks such as:
- Research projects in the areas of acoustic detection, localisation and classification.
- Algorithm evaluation including modelling of processing and related sensor simulation.
- Sensor data management and preparation of data sets for “signals of interest”.
Technical skills:
Machine Learning – Maths/Physics and Data Science
Software – C++/Python and Operating Systems
Intern interpersonal qualities:
- Excellent communication skills – both verbal and written.
- Self-management – can plan own tasks and align with given priorities effectively.
- Technical ownership – committed to finding the optimal technical solution and committed to quality output.
Business description:
Our company develops an engineering software called MADe (the Maintenance Aware Design environment).
MADe is a model-based engineering decision support solution that provides the integrated analyses required to conduct engineering risk management.
MADe digitizes RAMS (Reliability, Availability, Maintainability, Safety) and CBM (Condition-Based Maintenance) analysis to optimise the design and sustainment of complex, mission / safety-critical systems.
Projects / tasks:
Development of a software solution to monitor / analyze operational data required for system health assessment for sustainment (maintenance) optimization.
- Research and specification of defined techniques used in industry and develop workflows
- Conduct validation on sample data sets and outline results
Technical skills:
Strong mathematical background, Python, Machine Learning and/or Data Science experience. R & Julia languages favourable.
Intern interpersonal qualities:
Communication skills are important, rapid knowledge acquisition / application capability, preferably penultimate or final year students.
Business description:
An Australian owned, Melbourne-based defence research and development company focused on defence capability in the domains of land, sea, air and space.
Our vision is to solve defence related challenges by producing sovereign capability in the form of affordable force multipliers that redefine asymmetric warfare.
Our company is engaged in novel, innovative research projects, many of which are funded through Government agencies. As an SME we gain our expertise from the collaborative engagement of our engineering team with University experts in their field, currently working with approximately 130 researchers from Universities and Defence Science and Technology Group.
Projects / tasks:
The tasks will be based on multi-disciplinary teams for specific defence related projects which could include land or air-based platforms.
The scope of task will be more clearly defined upon commencement and will involve active participation in cutting edge defence technology.
Technical skills:
Technical skills required for a Software engineer include:
- Python
- Java Script
- C++
- Embedded systems
- Qt (C++, QML)
- Object oriented programming
Technical skills required for a Machine Learning engineer include:
- Python
- Java Script
- C++
- Embedded systems
- Optical sensor integration
- OpenCV
- SQL
Technical skills required for a Computer Science engineer include:
- Python
- Java Script
- C++
- Embedded systems
Intern interpersonal qualities:
Ideally the intern will have:
- Enthusiasm
- Teamwork and collaboration
- Critical thinking
- Trustworthy and reliable
- Attention to detail
- Effective organization
- Interpersonal skills
- Communication and presentation skills
Business description:
Our company services the needs of Defence, Motor Sport, Automotive, Mining and Autonomous vehicle industries requiring specialised engineering services.
Our team of experienced engineers specialise in Advanced engineering design, manufacture, performance vehicle design, analysis and multi body and motion simulation in the fields of vehicle dynamics and suspension design. The systems we design and manufacture, significantly improve the safety and performance of vehicles and mechanical systems.
Our highly regarded work integrated learning program offers undergraduate engineering students from all disciplines experience in innovative world leading technologies that are applied across a range of sectors from Defence to high performance racing. Our company is one of few places in Australia operating across the vast range of sectors, as such its work experience program is highly sought after, and highly regarded within the industry.
Projects / tasks:
- Automated Load Handling System – control systems, perception systems and mechanical engineering opportunities
- Autonomous systems development – autonomy stack, control systems and mechanical design opportunities on a commercial autonomous motor vehicles
- Various Mechanical Engineering Design projects
- Interdisciplinary Defence Engineering Projects
- Development of computer vision systems
- Develop and integrate smart technology into existing company products
Technical skills:
Python, C++, Image Processing Techniques, Basic understanding of Neural Networks,
Opportunities in AI, Cyber Security and Web Development, Control Systems
Intern interpersonal qualities:
The intern’s interpersonal skills are as critical as are the technical elements relating to Mechanical / Electrical / Control Systems Engineering.
The intern’s personal attributes should be aligned with our organisational values – passion, integrity, respect for others, innovative, and determination.
They should have well developed verbal and written communication skills, conflict resolution skills, “can do attitude”, self-motivated, friendly, and personable and have an ability to connect to people.
Business description:
Our company develops software to explore masses of digital data, gaining insights which are critical in protecting our communities. We were formed through a collaboration between Australia’s national security agencies and various research organisations. Purpose-built to address the highest priority use cases in the national security, law enforcement and Defence markets, our capabilities have been proven to deliver real value through increased productivity and actionable insights. Leading security agencies turn to us when they need risk-based analytics to answer investigative and intelligence challenges.
Projects / tasks:
The role will contribute to our company’s IT/Cyber roadmap, supporting, maintaining and improving the tools and processes we use to deliver Software-as-a-Service products to our customers efficiently and securely. We use a range of technologies to keep our team efficient, collaborating effectively and maintaining quality.
Typical tasks include e.g. security/threat scanning, risk assessments, access control improvements, process automation, cloud infrastructure management, network configuration/monitoring.
Technical skills:
Applicants must be undertaking a degree with a large technical component e.g. Software Engineering, Computer Science, IT. Final year students are preferred, as is a basic understanding of Software Development.
Intern interpersonal qualities:
We run a cross-functional, agile team, communicating daily and responding quickly to business requests. We’re looking for good communicators who work well in a team and are comfortable adapting to regular feedback and new requirements.