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:
Our company is designing and building next generation spacesuits. We are into industrial design, systems engineering , systems integration & advanced manufacturing
Projects / tasks:
- Design of systems (mechatronics, electrical, mechanical)
- Simulation (Finite Element Analysis, Computation Fluid Dynamics)
- Machine Learning
- Research hardware to integrate with our cutting-edge IoT product. From sensors to edge computing devices.
- Research technology suppliers to put together solutions based on our product goals.
- Build low fidelity mockups / prototypes for lab based testing
Technical skills:
- CAD/CAM
- MATLAB/Simulink/SimScale etc
- Cloud IOT Solutions ( Azure, Google Cloud Platform)
- C/C++, Python
Intern interpersonal qualities:
- Technical Project Management
- Analytical
- Technical Communications expertise
- Collaboration
- Goal oriented
Business description:
We are a space engineering company dedicated to next generation space operations, using machine learning and gaming graphics to greatly reduce the challenge of operating spacecraft. The company has 40 employees and active laboratories in Sydney, Adelaide and Colorado. We sell operations services and spaceflight software to both government and civil customers to include the Australian Defence Force, Fortune 500 and NewSpace companies, US Space Force, and NASA. The Australian Space Agency selected our flight operations service called the “Responsive Space Operations Centre” (RSOC) for their national mission control centre. We specialise in large constellations and fleet control (100+ satellite) and machine learning applications to space.
Projects / tasks:
There are a wide range of tasks for space that interns can participate in, including machine learning, spacecraft design, orbital analysis and cloud computing for spacecraft command and control. Prior interns worked on space weather analytics to fill gaps in critical data, orbital mechanics, the design of large 100+ constellations, and spacecraft design.
Technical skills:
If the student can code we can teach them to do space: Orbital mechanics, spacecraft design, SATCOM, space physics.
Students that can code and do space are high interest but preference is for C#/Unity coders. Interns wishing to go into the Machine Learning and Spacecraft Engineering streams should have a good knowledge of Python and/or C/C++.
Software Development Requirements: Python and/or C/C#, git, Linux environments,
Preferred but not essential: Cloud architectures and development, databases, microservices.
Engineering, Computer Science/Software Engineering, Physics, game development degrees, but any degree with strong maths and programming skills is welcome.
Intern interpersonal qualities:
- Engineers, tinkerers, and builders.
- People who are passionate about space.
- People who are not afraid to make mistakes