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:

We design and manufacture the most affordable metal Additive Manufacturing (3D printing) process in the world. Our printers make metal parts the fastest way possible.

Projects / tasks:

Depending on the skills, projects include:

  • Implement device management using Microsoft Endpoint solution to secure and implement security policies onto endpoint devices.
  • Power BI setup and management
  • Implement new endpoint protection solution and config the settings to ensure endpoints are protected from threats.
  • Investigate how to enhance WIFI network security.

Technical skills:

Good knowledge of Microsoft 365 – Exchange Online Suite, Windows 10/11, Power BI.

Intern interpersonal qualities:

Whilst not expecting the person to know everything, we require him/her to be resourceful and motivated to learn. Able to communicate with non-technical users will be a plus.

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:

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:

  1. Large Language Models: Dive deep into AI by exploring large language models and fine-tuning techniques, pushing the boundaries of machine learning innovation.
  2. AI Model Deployment: Gain practical experience in deploying AI models within Docker containers and developing robust APIs for seamless interactions.
  3. 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.
  4. 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.

  1. Research and specification of defined techniques used in industry and develop workflows
  2. 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:

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.

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

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