At a Glance
- Tasks: Lead the development of simulation models for electric and mechanical components in aerospace.
- Company: Evolito, a pioneering tech firm focused on electric propulsion for a sustainable future.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and sustainability.
- Why this job: Join a mission-driven team revolutionising air transportation with cutting-edge technology.
- Qualifications: Degree in engineering and experience with simulation tools like MATLAB.
The predicted salary is between 60000 - 80000 £ per year.
Evolito’s mission is to accelerate the adoption of electric propulsion in aerospace applications in support of a net-zero world. We will help to revolutionise personal mobility and transform our towns and cities with clean, noise-free air transportation.
Evolito develops and manufactures class-leading, lightweight, high-power, and high-torque-density electric propulsion systems for a range of aerospace markets, including EVTOL, Unmanned Aerial Vehicles and General Aviation. As well as ultra-high performance, low-weight electric motors and controllers, Evolito specialises in high integrity, bespoke battery systems for the aerospace and defence markets. The team is scaling rapidly and has ambitious growth plans over the next twelve to eighteen months.
As part of our current high-growth phase, we are creating our Research and Technology (R&T) team and are looking for a Principal Technical Specialist - Simulation engineer to join us. The R&T team is responsible for the development of new systems, electric machines and power control electronics in support of new and existing customers. This includes electric propulsion systems, electrical generation systems and power management systems for all-electric and hybrid-electric aircraft.
As the Principal Technical Specialist - Simulation, you will lead the development of sophisticated plant models of electrical (e-motors, power electronics, batteries, etc) and mechanical (gearboxes, propellers, clutches, etc) components, as part of a Digital Twin approach that optimises the electric drivetrain performance.
- Key responsibilities will include:
- 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.
- Skills and experience required:
- 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
- Experience with HIL environments (dSpace, SpeedGoat, etc), is desirable
- Aware 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.
We’re driven by a shared passion for engineering excellence and sustainable mobility. Our unique technology enables us to fast-track the adoption of electric propulsion in aerospace. By accelerating the growth of electric propulsion, we will help revolutionise personal mobility and transform our towns and cities with clean, noise-free electric air transportation. As part of our growth, we are looking for passionate, talented people to join the team and help transform the way we travel.
Principal Technical Specialist - Simulation (R&T) in London employer: Evolito Ltd
Contact Detail:
Evolito Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Technical Specialist - Simulation (R&T) in London
✨Tip Number 1
Network like a pro! Reach out to people in the aerospace industry, especially those working with electric propulsion. Attend events, webinars, or even local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your simulation projects, especially those using MATLAB or Simulink. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled complex issues in past projects, particularly in relation to electric drivetrain components.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission for sustainable mobility.
We think you need these skills to ace Principal Technical Specialist - Simulation (R&T) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Principal Technical Specialist role. Highlight your experience with simulation modelling tools like MATLAB and your understanding of electric drivetrain components.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about electric propulsion and how your background makes you a great fit for our team. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Problem-Solving Skills: In your application, give examples of complex technical problems you've solved using simulation modelling. We love seeing how you approach challenges, so don't hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Evolito Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge of electric drivetrain components and simulation tools like MATLAB and Simulink. Be ready to discuss how you've used these tools in past projects, as well as any specific challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your instinctive problem-solving abilities. Think about complex technical problems you've solved using simulation modelling and be ready to explain your thought process during the interview.
✨Communicate Clearly
Since you'll need to generate reports and lead discussions, practice explaining technical concepts in a clear and concise manner. Consider doing mock interviews with friends or colleagues to refine your communication skills.
✨Be Ready for Technical Questions
Expect questions related to control and optimisation theories, as well as data analysis techniques. Brush up on PID controllers and optimisation algorithms, and be prepared to discuss how you've applied these in real-world scenarios.