Departments / Aerospace & Space Technology
Space systems, satellite technology, UAVs, flight software, and mission planning.
Analytics on space-mission and telemetry data — distinct from satellite Earth-observation data, this is spacecraft-health and mission-performance data.
Python/R · Time-series analysis · Data visualisation · Space-domain literacy + 1 more
Simulation-driven aerospace engineering — modelling aerodynamics, structures, and systems before any physical prototype exists.
Simulation tools (MATLAB/Python) · Aerodynamics/structures basics · Model validation · Documentation + 1 more
Applying AI to space-domain problems — autonomous navigation, anomaly detection in telemetry, satellite-image analysis.
Python · Machine learning fundamentals · Space-domain literacy · Documentation + 1 more
The planning discipline behind space and aerial missions — trajectory, scheduling, and resource-allocation problems.
Mission-planning fundamentals · Basic orbital/trajectory concepts · Simulation/modelling · Documentation + 1 more
The software that flies the vehicle — flight-control and onboard-computer software, a distinct discipline from ground-based mission software.
C/C++ · Real-time systems basics · Flight-software architecture awareness · Testing/validation + 1 more
Unmanned aerial vehicle systems — airframe, flight dynamics, and mission-system design for drones.
UAV systems fundamentals · Flight dynamics basics · Simulation tools · Documentation + 1 more
Satellite platform and payload technology — distinct from our satellite-data-analytics work, this is about the hardware and mission side.
Satellite technology fundamentals · CubeSat design awareness · Research literature review · Documentation + 1 more
A new research track into space-systems engineering — the end-to-end architecture of spacecraft and satellite platforms.
Space-systems fundamentals · Systems engineering basics · Research literature review · Documentation + 1 more