At a Glance
- Tasks: Develop algorithms for optimising toolpaths in robot-assisted manufacturing.
- Company: Leading UK research institution at the forefront of technology.
- Benefits: Market-leading pension scheme, generous leave, and hybrid working options.
- Other info: Exciting research environment with opportunities for professional growth.
- Why this job: Join a pioneering team and shape the future of robotics and manufacturing.
- Qualifications: PhD in Mechanical Engineering and strong C++ programming skills.
The predicted salary is between 36000 - 60000 £ per year.
A leading research institution in the UK is seeking a post-doctoral research associate to work on optimising toolpaths for robot-assisted additive manufacturing. The role requires a PhD in Mechanical Engineering and strong skills in C++ programming and computational geometry. The successful candidate will develop algorithms while considering manufacturing constraints. Exceptional benefits such as a market-leading pension scheme and generous leave entitlements are offered. The position supports hybrid working arrangements.
Postdoc: Computational Robotics & Optimized Toolpaths in Manchester employer: The University of Manchester
As a leading research institution in the UK, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their fields. Our commitment to professional development is evident through numerous growth opportunities, while our exceptional benefits, including a market-leading pension scheme and generous leave entitlements, ensure a rewarding work-life balance. With the flexibility of hybrid working arrangements, we provide an environment where creativity and research thrive.
Contact Details:
The University of Manchester Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Postdoc: Computational Robotics & Optimized Toolpaths in Manchester
✨Tip Number 1
Network like a pro! Reach out to your academic contacts and industry professionals. Let them know you're on the lookout for opportunities in computational robotics. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++ programming and computational geometry. This will give potential employers a clear idea 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 manufacturing constraints in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your expertise. Plus, it shows you're serious about joining our team in optimising toolpaths for robot-assisted additive manufacturing.
We think you need these skills to ace Postdoc: Computational Robotics & Optimized Toolpaths in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your PhD in Mechanical Engineering and any relevant experience in C++ programming and computational geometry. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about optimising toolpaths for robot-assisted additive manufacturing. We love seeing candidates who can connect their research interests with our goals.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've developed algorithms or tackled complex problems. We’re looking for innovative thinkers who can navigate manufacturing constraints, so let us know how you’ve done this in the past!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at The University of Manchester
✨Know Your Stuff
Make sure you brush up on your knowledge of computational geometry and C++ programming. Be ready to discuss specific algorithms you've developed or worked with, and how they relate to optimising toolpaths in additive manufacturing.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach real-world manufacturing constraints and be ready to explain your thought process clearly. This will demonstrate your analytical skills and creativity.
✨Familiarise Yourself with the Institution
Research the leading research institution and its recent projects in robotics and additive manufacturing. Understanding their work will help you tailor your answers and show genuine interest in contributing to their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects. This not only shows your enthusiasm but also helps you gauge if the position aligns with your career aspirations and working style.
