At a Glance
- Tasks: Dive into AI research, tackling real-world challenges and shaping the future of AI compute.
- Company: Join Graphcore, a leader in next-gen AI technology with a collaborative culture.
- Benefits: Enjoy flexible working, free food, and a vibrant office atmosphere.
- Other info: Inclusive environment welcoming diverse backgrounds and perspectives.
- Why this job: Gain hands-on experience and contribute to groundbreaking AI research alongside experts.
- Qualifications: Currently pursuing a PhD in AI or machine learning with strong coding skills.
The predicted salary is between 22500 - 27500 £ per year.
Location: UK based from either our Bristol, Cambridge or London office.
Explore a research career at Graphcore through a PhD internship, gaining hands-on experience on real projects. You’ll bring fresh ideas, put your learning into practice and help shape what we’re creating. Along the way, you’ll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence.
What you’ll work on:
- Explore how your research could inform the next generation of AI compute, working alongside researchers tackling questions shaped by real-world hardware and software challenges.
- Our team is interested in numerous topics across the field, working on problems where algorithms, hardware, and systems meet. These topics include large-scale pretraining and post-training of LLMs, efficient inference, numerics, world models, molecule generation for life science applications, and model safety and interpretability.
- You’ll come up with new ideas, implement models and algorithms, design experiments, and present your findings (often in the form of a paper).
- You’ll have room to follow promising ideas and help shape your research direction, with mentoring as you test your thinking.
- Your work could contribute to public research shared with the wider AI community.
Your team and support:
Graphcore Research explores the computational requirements of machine intelligence and how hardware can enable the next generation of AI models. The team publishes at leading AI and machine learning conferences, including NeurIPS, ICML and ICLR. You’ll learn alongside researchers working across a wide range of AI topics. Mentoring and open research discussions will give you opportunities to explore ideas, get feedback and decide which questions to pursue. Decisions are shaped by experimental evidence and technical discussion. As an intern, you’ll be encouraged to ask questions, challenge assumptions and share results early, with support from experienced researchers as you develop your ideas.
How you’ll learn and grow:
Over the internship, you’ll build research experience by taking a question through experimentation, implementation and analysis. You’ll develop your judgement about what a result tells you, which ideas deserve further investigation and how to communicate your findings clearly. Exploring both theory and practical experiments will help you understand how your research connects to AI models, hardware and systems, and where you’d like to take it next.
What we're looking for:
- Currently studying for a PhD specialising in AI or machine learning.
- Strong coding ability in Python or C++, demonstrated through projects, research or other practical experience.
- Experience implementing algorithms in machine learning frameworks such as PyTorch.
- The ability to design experiments, interpret results and communicate research clearly, with curiosity about both theory and practical experimentation.
- Previous industry experience is not required.
Benefits:
- Flexible working: Find a balance between your internship and life outside work.
- Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food and a great selection of ice cream!
- Develop your research in an industry setting, exchanging ideas with experienced researchers and engineers.
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.
Sponsorship: Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities.
Introduction to Graphcore:
At Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacentre scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. An internship at Graphcore gives you the chance to explore where your interests and skills could take you. You’ll work alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. Together, you’ll share ideas and solve challenging problems, building experience and confidence to help you decide what comes next.
Curious about where your skills could take you? Apply for a PhD internship at Graphcore and help us build what comes next.
AI Technology PhD Research Internship in Bristol employer: Graphcore Early Careers
At Graphcore, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among our talented team of engineers. Located in the vibrant city of Bristol, we provide flexible working arrangements, generous benefits including private medical insurance and a supportive parental leave policy, and a commitment to employee growth through diverse project opportunities. Join us to make a meaningful impact in the fast-evolving field of AI compute, where your contributions will be valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land AI Technology PhD Research Internship in Bristol
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace AI Technology PhD Research Internship in Bristol
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Graphcore Early Careers will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Graphcore Early Careers
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Graphcore Early Careers.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Graphcore Early Careers that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
