At a Glance
- Tasks: Develop AI software for process control in Additive Manufacturing.
- Company: Join the University of Exeter and Rapid Fusion Ltd for an exciting KTP role.
- Benefits: Competitive salary, hands-on experience, and collaboration with industry leaders.
- Other info: Full-time position with opportunities for professional growth and development.
- Why this job: Make a real impact in innovative manufacturing technology while advancing your career.
- Qualifications: Relevant degree, proficiency in Python or MATLAB, and knowledge of material science.
The predicted salary is between 33951 - 38784 £ per year.
The University of Exeter is seeking an AI/ML Research Engineer for a KTP with Rapid Fusion Ltd. This unique role focuses on developing AI-enabled software for process control in Additive Manufacturing, crucial for polymer deposition consistency.
The position is full-time and based primarily at Rapid Fusion Ltd in Exeter, with some time at the University.
Candidates should hold a relevant degree and have proficiency in Python or MATLAB, along with a strong understanding of material science.
A competitive salary in the range of £33,951 to £38,784 is offered, depending on skills and experience.
AI/ML Research Engineer for LFAM Additive Manufacturing(KTP) in Exeter employer: University of Exeter
The University of Exeter, in collaboration with Rapid Fusion Ltd, offers an exceptional work environment that fosters innovation and professional growth. As an AI/ML Research Engineer, you will be part of a dynamic team dedicated to advancing additive manufacturing technologies, with access to cutting-edge resources and a supportive culture that encourages continuous learning. Located in Exeter, this role not only provides competitive remuneration but also the opportunity to contribute to impactful projects in a thriving academic and industrial partnership.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Research Engineer for LFAM Additive Manufacturing(KTP) in Exeter
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Rapid Fusion Ltd or the University of Exeter. A friendly chat can open doors and give you insights that might just land you the job.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project showcase that highlights your experience with Python or MATLAB. This is your chance to demonstrate how you can contribute to AI-enabled software development.
✨Tip Number 3
Ace the interview! Research common questions for AI/ML roles and practice your responses. Be ready to discuss your understanding of material science and how it relates to additive manufacturing.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI/ML Research Engineer for LFAM Additive Manufacturing(KTP) in Exeter
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant skills and experiences that align with the AI/ML Research Engineer role. We want to see how your background in Python or MATLAB and material science fits into what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-enabled software and how you can contribute to process control in Additive Manufacturing. Let us know what excites you about this opportunity!
Showcase Your Projects:If you've worked on any projects related to AI, ML, or additive manufacturing, make sure to mention them! We love seeing practical examples of your work and how they relate to the role.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting position at Rapid Fusion Ltd.
How to prepare for a job interview at University of Exeter
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and machine learning, especially as it relates to additive manufacturing. Familiarise yourself with the latest trends and technologies in polymer deposition, as this will show your genuine interest in the field.
✨Show Off Your Skills
Since proficiency in Python or MATLAB is key for this role, be prepared to discuss your experience with these programming languages. Bring examples of past projects where you've used them, and if possible, demonstrate your problem-solving skills through coding challenges.
✨Understand the Company
Research Rapid Fusion Ltd and the University of Exeter. Understand their goals, values, and recent projects. This will help you tailor your answers and show that you're not just interested in the job, but also in contributing to their mission.
✨Ask Smart Questions
Prepare thoughtful questions about the role and the team you'll be working with. Inquire about the specific challenges they face in additive manufacturing and how your role can help address them. This shows that you're proactive and genuinely interested in making an impact.
