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