Business Description

Development of Software Systems for Command and Control of Electronic Radio Frequency Sensors and Systems, current projects include Networked Electronic Warfare Sensor systems.

Projects / tasks

(Data Science and Machine Learning) Designing Intelligent Adversarial Anomaly Detection utilising deep neural networks for a custom simulation environment. The project provides exposure to both traditional and contemporary techniques for supervised and unsupervised methods. The intern will have individual support and mentoring from machine learning and data science industry professionals proficient in state-of-the-art machine learning practices.

Technical skills

Python, NumPy, Pandas, PyTorch and/or TensorFlow.

Intern interpersonal qualities

Ability to work through problems autonomously and willingness to learn new packages/frameworks as required. Some experience with scientific computing is required, whether through coursework or personal learning.

Business description:

We develop 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. We have supplied solutions to ADF, primarily Army and Navy, and also provide solutions to the Australian Maritime Safety Authority. Overseas our systems are deployed with US Army, US Coast Guard, Canadian Defence and many other forces.

We are undertaking an innovation contract with the Defence Innovation Hub, called “Future ISR Sensing – Multi-Domain Optical Radar”

Projects / tasks:

A range of high priority technology exploration projects to investigate the application of artificial intelligence, 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:

A technology company focused on developing new approaches and techniques for the Operation and Management of Communications Networks and the Electromagnetic Spectrum.  We specialise in:
1) Equipment and Sensor Monitoring and Control;   2) Spectrum Monitoring and Management;   3) Network Management and Operational Support Systems;  4) Heterogeneous Signal Processing Systems; and 5) Systems Integration and Support Service.

We have five (5) business lines:

  1. Satellite Communications (SATCOM)
  2. Space Situation Awareness / Space Domain Awareness (SSA/SDA)
  3. Broadcast, Media and Telco
  4. Intelligence, Surveillance, Reconnaissance and Electronic Warfare (ISREW)
  5. Secure Communications

Projects / tasks:

Our engineering staff in Canberra and Sydney, including interns, maintain a roughly 70%-30% split of work time between project-related work and R&D. For project-related work, as noted, we have several ongoing Defence projects delivering and sustaining multiple systems. An intern will have the opportunity to contribute to a full systems engineering life cycle in one or many of these projects including requirements definition, system design, implementation, deployment and test. For R&D, we have an R&D agreement with DST Group which is the focus of our R&D efforts and is supported by other industry grants which focus on the SDA business line. An intern will have the opportunity to work with external industry partners during R&D activities to develop next generation capabilities destined for use by the ADF.

Technical skills:

Technical skills or awareness that we seek include:

  • Some ability to write code (C or Java)
  • Knowledge of IP Networking
  • Knowledge of the principals of RF communications
  • Knowledge of Systems
  • Signal Processing
  • Skills or awareness that we seek include:
    • Requirement Definition
    • Design
    • Verification and Validation
    • Engineering Management

Intern interpersonal qualities:

Our ideal intern will be studying a technology or electronics focused on information technology, telecommunications, systems or software engineering. Other skills include : Solution focused;  Problem solving;  Business Acumen; Interpersonal skills; Diverse interests.

Business description:

We service the needs of defence, mining, autonomous vehicles and motor sport industries requiring specialised engineering services. We specialise in Advanced engineering, 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.   Our highly regarded work integrated learning program offers undergraduate engineering students experience in innovative world leading technologies that are applied across a range of sectors from Defence to high performance racing.  This is one of a few places in Australia operating across a 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 opportunities
  • Autonomous systems development – autonomy stack, control systems and mechanical design opportunities on a commercial autonomous motor vehicle
  • Various Mechanical Engineering Design projects
  • Interdisciplinary engineering projects
  • Developing computer vision systems
  • Develop and integrate smart technology into existing Supashock 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:

Engineering consultancy offering high end engineering analysis services to the global defence, oil & gas, mining, transport and renewable energy sector.

Projects/Tasks:

Development of maritime platform station, keeping integrity assurance sensing systems.

Technical skills:

We will provide any necessary training.

Intern interpersonal qualities:

Good problem solving and communication skills.

Business Description

We develop model-based engineering software that provides the integrated analyses required to conduct engineering risk management and optimization. We are developing Syndrome Diagnostics (SD), a causation-based AI software for real-time Fault Detection and Isolation in complex mission/safety-critical systems. The software leverages a digital risk twin and uses machine learning algorithms to detect incipient failures for system health assessment – an integral component of Predictive Maintenance processes.

Projects / tasks

Development of the Syndrome Diagnostics (and other) software solution(s) to monitor / analyze operational data required for system health assessment for sustainment (maintenance) optimization. The work will involve the use of different machine learning algorithms, such as SVM, Neural Networks, Clustering and their optimisation. It will also include some analysis and visualisation techniques directly contributing in the development of the SD product.

Duties will encompass development of a software solution to monitor / analyse operational data required for system health assessment for sustainment (maintenance) optimization by utilizing data science/machine learning skills and knowledge to detect, isolate, and visualize failures within a system using sensor signals.

Depending on the rate of progress, the intern may work on any of the following and more:

1. Time series prediction and forecasting
2. Trend extraction
3. Real sensor signal data handling
4. Pattern analysis
5. Failure Classifications
6. Automatic failure detection
7. Deep neural network teaching
8. Statistical modelling
9. Training and optimisation methods
10. Software and method testing

Technical skills

Strong mathematical background, experience in any programming language (ideally Python), exposure to Machine Learning and/or Data Science. Added exposure to Amesim, SysML well regarded but not required.

Intern interpersonal qualities

Communication skills are important, rapid knowledge acquisition / application capability, preferably penultimate or final year students that could transition to FTE or PTE upon completion of internship.

Bright, personable candidates eager to prove themselves and apply theoretical knowledge to real data-science and engineering applications. Candidates who are involved in extra-curricular activities (data-science/engineering-related or otherwise [past interns were involved in Robogals, Formula SAE, local sports, etc.]) well regarded.

Candidates with broad and varying backgrounds / work experience (different cultural backgrounds, worked in different non-engineering industries [i.e., hospitality, retail, finance, etc.], lived in different cities/countries).

Business description:

A technology company focused on developing new approaches and techniques for the Operations and Management of Communications Networks and the Electromagnetic Spectrum.

We do this by specialising in:
• Equipment and Sensor Monitoring and Control
• Spectrum Monitoring and Management
• Network Management and Operational Support Systems

We have five business lines:
1) Satellite Communications (SATCOM)
2) Space Situation Awareness / Space Domain Awareness (SSA/SDA)
3) Broadcast, Media and Telco
4) Intelligence, Surveillance, Reconnaissance and Electronic Warfare (ISREW)
5) Secure Communications

Projects / tasks:

Our engineering staff in Canberra and Sydney, including interns, maintain a roughly 90%-10% split of work time between project-related work and professional development. For project-related work, as noted, we have several ongoing Defence projects delivering and sustaining multiple systems. An intern will have the opportunity to contribute to a full systems engineering life cycle in one or many of these projects including requirements definition, system design, implementation, deployment and test.

Technical skills:

Technical skills or awareness that we seek include:

  • Some ability to write code (C or Java)
  • Knowledge of IP Networking
  • Knowledge of the principals of RF communications
  • Knowledge of Systems
  • Signal Processing
  • Skills or awareness that we seek include:
    • Requirement Definition
    • Design
    • Verification and Validation

Intern interpersonal qualities:

Our ideal intern will be studying a technology or electronics focused on information technology, telecommunications, systems or software engineering.  Other skills include : Solution focused;  Problem solving;  Business Acumen; Interpersonal skills; Diverse interests.

Business description:

Design, production, integration and through-life-support to the operation of simulation based training and software systems for the Australian Defence Force.

Projects / tasks:

Prototype the framework and basic functionality of a Battlefield Decision Support Tool.

OR

Artificial Intelligence training in synthetic environment

Technical skills:

Application development, C#, Javascript, HTML, (Desirable GIS, C++).

OR

C++, Python, Computer Graphics, OpenGL, 3D modeling, GIS.

Intern interpersonal qualities:

Analytical skills and ability to work in small team.