Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Use machine learning and AI to enhance image processing and defect detection.
- Company: Leading semiconductor company in the UK with a focus on innovation.
- Benefits: Gain hands-on experience, mentorship, and exposure to cutting-edge technology.
- Why this job: Join a collaborative team and contribute to exciting R&D projects.
- Qualifications: Master’s student in Mathematics or Engineering with programming interest.
- Other info: Dynamic work environment with opportunities for professional growth.
The predicted salary is between 500 - 1500 £ per month.
A leading semiconductor company in the UK is seeking an intern to join their Data and Knowledge Engineering team. This role will focus on leveraging machine learning and AI techniques in research and development processes.
It requires a Master’s student in fields like Mathematics or Engineering, with interest in computer programming and signal processing.
The opportunity offers a collaborative environment with experienced team members to develop and direct R&D activities.
Intern - ML & AI for Image Processing & Defect Detection in Edinburgh employer: STMicroelectronics
Contact Detail:
STMicroelectronics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intern - ML & AI for Image Processing & Defect Detection in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to current or former interns at the company on LinkedIn. Ask them about their experiences and any tips they might have for landing the role. It’s all about making connections!
✨Tip Number 2
Show off your skills! If you’ve worked on any projects related to machine learning or image processing, be ready to discuss them in detail. Bring examples to the table that demonstrate your problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews! Brush up on your programming skills and be ready to tackle some coding challenges. Practising common algorithms and data structures can give you an edge.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you prepare for interviews and showcase your talents. Plus, it shows you’re genuinely interested in the opportunity!
We think you need these skills to ace Intern - ML & AI for Image Processing & Defect Detection in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the role. We want to see your passion for machine learning, AI, and any projects you've worked on that relate to image processing or defect detection.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this internship and how your background in Mathematics or Engineering makes you a great fit for our Data and Knowledge Engineering team.
Showcase Your Projects: If you've done any projects or coursework related to computer programming or signal processing, be sure to mention them. We love seeing practical applications of your skills, so don’t hold back!
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’re considered for this exciting opportunity in our collaborative environment.
How to prepare for a job interview at STMicroelectronics
✨Know Your Stuff
Make sure you brush up on your machine learning and AI concepts, especially as they relate to image processing and defect detection. Be ready to discuss any relevant projects or coursework you've done, and how they apply to the role.
✨Show Your Passion for Programming
Since the job requires an interest in computer programming, be prepared to talk about your programming experience. Highlight any languages you're proficient in, and if possible, share examples of how you've used them in past projects or studies.
✨Ask Smart Questions
Prepare some insightful questions about the team and their current R&D activities. This shows that you're genuinely interested in the role and helps you understand how you can contribute to their projects.
✨Emphasise Collaboration Skills
This role is all about working with experienced team members, so be ready to discuss your teamwork experiences. Share examples of how you've successfully collaborated on projects, and what you learned from those experiences.