Principal Technical Specialist - Simulation (R&T)

As Principal Technical Specialist - Simulation, you will lead the development of sophisticated plant models of electrical and mechanical components as part of a Digital Twin approach that optimises electric drivetrain performance. You will validate models, support software verification, provide technical guidance, and lead technical discussions with customers.

Responsibilities

• Lead the development of plant models for electrical (e-motors, power electronics, batteries, etc) and mechanical (gearboxes, propellers, clutches, etc) components in a model-based simulation environment (MATLAB, Simulink, Simscape)
• Optimise design parameters by simulating (dynamically and statically) project requirements (flight cycles, dynamic performance, abnormal conditions, etc)
• Validate models by designing test methods and analysing test data to correlate the simulation results statistically
• Support software verification activities by providing models and harnesses for Model-in-the-loop (MIL) and Hardware-in-the-loop (HIL) environments
• Provide technical guidance to junior engineers and contribute to the definition of best practices in model-based simulation, data analysis and automation
• Generate simulation analysis reports and technical presentations to communicate progress and findings
• Lead technical discussions with customers
• Work closely with internal teams and external stakeholders to synchronise cross-functional development efforts and ensure project alignment
• Maintain simulation models and results using the Evolito configuration management process
• Actively support process improvement initiatives to enhance team productivity and product quality.

Requirements

• Degree in electrical/mechanical/mechatronics engineering or similar
• Proven experience solving complex technical problems using simulation modelling tools such as MATLAB/Simulink/Simscape
• Excellent understanding of the electric drivetrain components (PMSMs, Gearboxes, Inverters, Batteries) and ability to model them
• Good understanding of control and optimisation theories (PID controllers, data fitting, optimisation algorithms)
• Experience with data analysis and correlation using MATLAB or Python scripts
• Awareness of engineering design process (preferably within an aerospace environment)
• Instinctive problem-solving skills coupled with a sound analytical approach
• Ability to work under pressure while managing conflicting demands against tight deadlines
• Excellent verbal and written communication skills
• A flexible approach to work.

Nice to have

• Experience with HIL environments (dSpace, SpeedGoat, etc), is desirable