At a Glance
- 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: Regular feedback and support to help you achieve your career goals.
- Why this job: Make a real impact in AI while developing your skills in a supportive environment.
- Qualifications: Pursuing a PhD in relevant fields with programming skills and a passion for 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 for Student Pursuing PhD in London employer: MediaTek
As an Associate Researcher intern, you will thrive in a dynamic and innovative environment that champions curiosity and self-motivation. Our collaborative work culture fosters continuous learning and professional growth, with ample opportunities to engage in cutting-edge research at the forefront of AI and machine learning. Located in a vibrant academic hub, we offer unique access to industry leaders and resources that enhance your research experience and career trajectory.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Researcher -Internship for Student Pursuing PhD in London
✨Tip Number 1
Network like a pro! Reach out to your professors, attend conferences, and connect with professionals in the field. You never know who might have a lead on an internship or research opportunity that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Don’t just apply; engage! When you find a position that excites you, reach out to the team via LinkedIn or email. Express your enthusiasm and ask insightful questions about their work. It shows initiative and can set you apart.
✨Tip Number 4
Keep learning and adapting! Stay updated on the latest trends in AI and machine learning. Join online courses or webinars to enhance your knowledge, and don’t forget to apply through our website for the best chances!
We think you need these skills to ace Associate Researcher -Internship for Student Pursuing PhD in London
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 research or studies. We love seeing that enthusiasm for learning and discovery.
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 what you can bring to the table.
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 at StudySmarter!
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 meaningfully to their 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 capabilities and how they align with the team's needs.
✨Highlight Collaboration Experience
Since collaboration is key in research, share specific examples of how you've worked effectively in teams. Discuss any experiences where you contributed to group projects or collaborated with others on research, as this will demonstrate your ability to work well with the team at the company.
✨Stay Updated on Trends
Before the interview, brush up on the latest advancements in AI, particularly in areas like reinforcement learning and large language models. Being able to discuss recent developments will not only impress your interviewers but also show that you are proactive about staying informed in your field.
