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:

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:

We are a supplier of Optical Radar for Search and rescue mission or Detection/Identification mission. Our company design and develop prototype to demonstrate innovative concept.

Projects / tasks:

Design, develop and demonstrate a new software functionality of our Optical Radar.

Technical skills:

C, RUST, CUDA, Robotic, Computer Vision

Intern interpersonal qualities:

Innovative, understand stakeholder objective, team player

Business description:

Equipment manufacturer for the investment casting industry servicing aerospace and defense industries, specializing in cut off and grinding equipment. Facilities and continuous improvement management, casting manufacturer to the defense industry

Projects / tasks:

Assisting in the development of robotic cells for grinding, cut-off and sandblasting operations in the foundry environment.

Technical skills:

Understanding of 3D CAD systems (Solidworks preferred), Roboguide

Intern interpersonal qualities:

Self-motivated, driven by challenges, interested in solving complex electromechanical technical problems, inquisitive mindset.

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.

Business description:

Provision of software and services for the Condition Based Maintenance markets in Defence, Mining, and similar asset intensive industries and segments. Includes predictive maintenance software, inspection apps and supporting software tools

Projects / tasks:

Development of applications and systems to support mobile data capture of observed and measured environmental and equipment health information. Including geotagging, imagine review and annotation and offline capabilities. Applications to be delivered on Android and iOS devices and used by industrial customers in both remote connected and disconnected environments.

Development of applications and systems to process, review and analyze data captured by remote data capture system. Applications to include data validation and correction, review and annotation of documents as well as graphs and statistical and numerical analysis of data.

Creation of web service API to expose equipment health data suitable for integration into data warehouse and data lake environments. Project includes authentication and authorization processes as well as QoS and PCS considerations such as request rate limiting and traffic throttling and load balancing.

Technical skills:

  • C# .NET framework
  • Typescript, Javascript
  • HTML/CSS
  • Azure Devops, Docker
  • AWS Cloud services (EC2, Cloudflare, S3, SQS, Lambdas)

Intern interpersonal qualities:

  • Positive attitude
  • Willingness to learn
  • Willingness to work as part of a team

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

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