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- Tasks: Dive into machine learning and AI for image processing and defect detection.
- Company: Join STMicroelectronics, a global leader in semiconductor technology.
- Benefits: Gain hands-on experience, mentorship, and a chance to innovate with cutting-edge tech.
- Why this job: Make a real impact while working on exciting projects with a diverse team.
- Qualifications: Pursuing a Master’s degree in relevant fields with a passion for tech and innovation.
- Other info: Be part of a supportive environment that values diversity and growth.
The predicted salary is between 500 - 1500 £ per month.
At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today. When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.
The Data and Knowledge Engineering team (DKE) within the Technology for Optical Sensors (TOS) group is focused on understanding and developing ways to use machine learning (ML) and artificial intelligence (AI) to develop and support our research and development (R&D) processes. We work closely with several R&D teams within ST and with the engineering teams within Imaging Sub-group. Specializing in ML & AI techniques associated with Imaging technologies and Imaging signal processing, we are developing new ways to enhance our processes with ML & AI methodologies and tools.
In your internship with us, you will be focusing on understanding and developing new ways of using these tools and implementing them within the activities in ST. Your role will involve:
- Understanding the data sources available for analysis development
- Researching and experimenting with techniques for ML and AI assessment of the data
- Developing frameworks and analysis paths
- Testing and verifying the developed analysis frameworks
- Reporting and documenting the work for communication within the team and wider ST community
You will be working within a multi-site team, including other students working on similar or related projects. You will benefit from the support of the other team members as well as the other students in the team and the Edinburgh site. With guidance, you will be responsible for developing and directing your own R&D activity, meeting the agreed timescales and regularly reporting your work to the team and the wider ST community. The team is very experienced in managing Masters and MEng level projects and has an excellent track record in supporting such students to achieve the best project outcomes possible.
You will be following a study programme leading to a Master’s degree or Master of Engineering degree. Your course of study will be targeted at one, or a combination of the following fields: Mathematics, Computer Science, Electrical and Electronic Engineering. You will have a demonstrable interest in computer systems and computer programming and an interest in, or developing interest in Signal processing, Signal communication systems, Machine Learning and Artificial Intelligence systems, with a clear experimental interest in researching, developing and learning about new technologies in these fields.
You will have interest in and understanding of the following fields:
- Basic mathematics related to data analysis
- Signal processing techniques
- Signals and signal communication systems design
- Algorithm development
- Computer systems and architecture
- Number representation and manipulation
- Programming and program development in one or more of the following environments / languages:
- Procedural and object-oriented programming
- C / C++
- Python
- Jupyter notebooks
- Matlab/Simulink
Understanding of revision control and change management will be advantageous if you have a demonstrable interest in:
- Data exploration, visualization, analysis and reporting (Data analytics)
- Machine learning systems
- Artificial Intelligence
Successful applicants must have the right to work in the UK. ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance. At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.
Intern - Machine Learning & AI - Image processing and defect detection employer: STMicroelectronics
Contact Detail:
STMicroelectronics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intern - Machine Learning & AI - Image processing and defect detection
✨Tip Number 1
Network like a pro! Reach out to current or former interns at STMicroelectronics on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for your interview by brushing up on your technical skills. Since this role focuses on ML and AI, be ready to discuss relevant projects you've worked on. Show us your passion for technology and how you can contribute to the team!
✨Tip Number 3
Don’t just apply; engage with STMicroelectronics on social media! Comment on their posts, share relevant articles, and show your enthusiasm for their work in machine learning and AI. This can help you stand out from the crowd.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team. Good luck, and we can’t wait to see what you bring to the table!
We think you need these skills to ace Intern - Machine Learning & AI - Image processing and defect detection
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for machine learning and AI shine through! We want to see your genuine interest in the field and how it aligns with our mission at STMicroelectronics.
Tailor Your CV: Make sure to customise your CV to highlight relevant skills and experiences that match the internship role. We love seeing how your background in mathematics, computer science, or engineering can contribute to our projects!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure to communicate your ideas effectively without unnecessary fluff. This will help us understand your thought process better!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with our team.
How to prepare for a job interview at STMicroelectronics
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and AI, especially as it relates to image processing and defect detection. Familiarise yourself with the latest techniques and tools in these areas, as well as any relevant projects you've worked on. This will help you speak confidently about your skills and experiences.
✨Show Your Passion
STMicroelectronics values passion and innovation, so be sure to express your enthusiasm for technology and how it can make a positive impact. Share specific examples of projects or experiences that sparked your interest in machine learning and AI, and how you envision contributing to their mission.
✨Prepare Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the role, team dynamics, and the company's vision for the future. This shows you're genuinely interested and helps you assess if the company is the right fit for you.
✨Practice Collaboration
Since you'll be working in a multi-site team, highlight your teamwork skills during the interview. Share examples of how you've successfully collaborated with others in past projects, and be ready to discuss how you can contribute to a collaborative environment at STMicroelectronics.