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- Tasks: Develop simulation tools for soft and hybrid robotics, running high-fidelity simulations.
- Company: Exciting robotics startup in Greater London with a mission-driven culture.
- Benefits: Competitive salary and significant growth opportunities.
- Why this job: Join a cutting-edge field and collaborate with talented teams to innovate robotics.
- Qualifications: Master's or PhD in Mechanical Engineering and experience with simulation tools.
- Other info: Dynamic environment with a focus on professional development.
The predicted salary is between 36000 - 60000 £ per year.
A robotics startup in Greater London seeks a Simulation Engineer to develop simulation tools for soft and hybrid robotics. The role requires a Master's or PhD in Mechanical Engineering or related fields and experience with simulation tools such as Abaqus or ANSYS.
You will run high-fidelity simulations, optimize performance, and work collaboratively with other technical teams. This full-time position offers a competitive salary and significant growth opportunities within a mission-driven culture.
Simulation Engineer: Soft & Autonomous Robotics Systems in London employer: Botz Innovation
Contact Detail:
Botz Innovation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Simulation Engineer: Soft & Autonomous Robotics Systems in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the robotics field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that Simulation Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your simulation projects, especially those using tools like Abaqus or ANSYS. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of soft and hybrid robotics systems. We recommend practising common interview questions and even running through some simulations to keep your skills sharp.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Simulation Engineer: Soft & Autonomous Robotics Systems in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with simulation tools like Abaqus or ANSYS in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your CV: Customise your CV to reflect the specific requirements of the Simulation Engineer position. Use keywords from the job description to make it clear that you’re a perfect fit for our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re passionate about soft and hybrid robotics. Share your journey and what excites you about this role at our startup!
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 Botz Innovation
✨Know Your Simulation Tools
Make sure you brush up on your knowledge of simulation tools like Abaqus and ANSYS. Be ready to discuss specific projects where you've used these tools, including the challenges you faced and how you overcame them.
✨Showcase Your Collaborative Spirit
Since the role involves working with other technical teams, prepare examples that highlight your teamwork skills. Think about times when you successfully collaborated on a project and how it contributed to the overall success.
✨Understand Soft Robotics
Familiarise yourself with the latest trends and advancements in soft and hybrid robotics. Being able to discuss current research or innovations in this field will show your passion and commitment to the role.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Review key concepts in mechanical engineering and simulation processes, and be ready to explain your thought process when running high-fidelity simulations.
