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- Tasks: Dive into exciting research, conduct experiments, and collaborate on innovative AI projects.
- Company: Join a forward-thinking team at the forefront of AI and semiconductor research.
- Benefits: Gain hands-on experience, mentorship, and opportunities for professional growth.
- Other info: Dynamic environment with regular feedback and support for your career development.
- Why this job: Make a real impact in AI while exploring bold ideas and advanced methodologies.
- Qualifications: Pursuing a PhD in relevant fields with a passion for machine learning and research.
The predicted salary is between 20000 - 30000 £ per year.
As an Associate Researcher, you are expected to demonstrate curiosity, self‑motivation and enthusiasm for working at the intersection of theory and application. You are encouraged to explore bold ideas, contribute to meaningful research, and take ownership of your work while learning advanced research methodologies.
Our team operates in two main directions:
- Applying AI to the design and optimization of semiconductors and communication systems
- Conducting fundamental research that supports both our applications and the broader scientific community
Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models.
Key Responsibilities
- Support research projects by conducting experiments and collecting data
- Perform literature reviews to inform ongoing research
- Assist senior team members with data analysis and documentation
- Contribute to the development and implementation of algorithms as part of team projects
- Collaborate with researchers and engineers to explore and evaluate new ideas
- Assist in preparing publications and technical reports
- Stay up to date with the latest advancements in AI and related fields
Qualifications & Expectations
- Enrolment in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field
- Demonstrated interest in research and a background in machine learning or a related area
- Proficiency in programming languages such as Python, C++, or similar
- Strong problem‑solving skills and ability to work both independently and collaboratively
- Effective communication skills and ability to present complex ideas clearly
Preferred
- Experience in optimization, reinforcement learning, and/or large language models (LLMs)
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
- Previous research publications or submitted papers
Ongoing Development
Employees are encouraged to continue developing their skills, seek out new research opportunities, and actively contribute to the team’s goals. Regular feedback and support will be provided to help you achieve your professional objectives.
Associate Researcher (Internship-2026) employer: MediaTek
Contact Detail:
MediaTek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Researcher (Internship-2026)
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the field, especially those who have worked on projects related to AI and machine learning. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, C++, or deep learning frameworks. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on the latest advancements in AI and related fields. Be ready to discuss how your research interests align with the company’s goals, particularly in areas like reinforcement learning and large language models.
✨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 Associate Researcher (Internship-2026)
Some tips for your application 🫡
Show Your Curiosity: When writing your application, let your curiosity shine through! Share specific examples of how you've explored bold ideas in your previous work or studies. We love seeing that enthusiasm for research and innovation.
Tailor Your Application: Make sure to customise your application to highlight your relevant skills and experiences. Mention any projects related to AI, machine learning, or optimization methods. This helps us see how you fit into our team and the exciting work we do.
Be Clear and Concise: Effective communication is key! Present your ideas clearly and avoid jargon unless necessary. We appreciate straightforwardness, so make it easy for us to understand your background and motivations.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at MediaTek
✨Show Your Curiosity
Make sure to express your genuine curiosity about the research topics mentioned in the job description. Prepare some insightful questions about their current projects, especially around AI applications in semiconductors and communication systems. This will show that you’re not just interested in the role, but also in contributing to meaningful research.
✨Demonstrate Your Skills
Be ready to discuss your programming skills and any relevant experience with machine learning or deep learning frameworks like TensorFlow or PyTorch. Bring examples of past projects or research where you applied these skills, as this will help illustrate your problem-solving abilities and technical expertise.
✨Prepare for Collaboration
Since collaboration is key in this role, think of examples from your past experiences where you successfully worked in a team. Be prepared to discuss how you contributed to group projects and how you handled challenges. This will highlight your ability to work both independently and collaboratively.
✨Stay Updated on Trends
Familiarise yourself with the latest advancements in AI, particularly in areas like large language models and reinforcement learning. Mentioning recent papers or breakthroughs during your interview can demonstrate your commitment to ongoing development and your enthusiasm for the field.