At a Glance
- Tasks: Join Google as a Research Scientist PhD Intern and tackle real-world problems with cutting-edge technology.
- Company: Collaborate with Google, a leader in tech innovation and research.
- Benefits: Gain invaluable experience, work on impactful projects, and enhance your skills in a dynamic environment.
- Other info: Internship runs for 13-17 weeks in Summer 2027; apply early for best chances!
- Why this job: Make a difference by contributing to products used by billions while advancing your research career.
- Qualifications: Must be enrolled in a PhD programme with experience in AI, machine learning, or related fields.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is collaborating with Google to connect them with exceptional professionals for this role. Research happens at Google every day, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Google Assistant, Google Translate, Google Cloud, and our computing, storage, and networking infrastructure. To achieve this, we’re working on projects that utilize the latest technologies that push the boundaries of what is possible.
At Google, research-focused engineering interns are embedded throughout the company, contributing to the setup of large-scale tests and deploying promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing architectures, research-focused engineering interns work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and more.
Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field; we publish regularly in academic journals, release projects as open source, and apply research to Google products.
Minimum qualifications:
- Currently enrolled in a PhD degree in Computer Science or a related technical field in the EMEA region, and in your penultimate/final year of education.
- Experience in one or more research areas; natural language understanding/processing, computer vision, LLMs, machine learning, algorithmic foundations of optimization, data mining, machine intelligence (Artificial Intelligence), AI/ML algorithms, deep learning or image processing, multimodal, multilingual and reinforcement learning.
- Experience with research from previous internships, full-time industry experience, personal projects, lab work, or published papers (being listed as author).
Preferred qualifications:
- Experience as a researcher, including internships, full-time, or at a lab.
- Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
- Experience in one or more general purpose programming languages: Java, C++, Python, or Go.
- Ability to complete a 13-17 week full-time internship in the United Kingdom starting in either May, June or July 2027.
- Ability to design and execute on research agendas.
Responsibilities:
- Participate in research to develop solutions for real-world, large-scale problems.
- Research, conceive, and develop software applications to extend and improve on Google's product offering.
- Contribute to a wide variety of projects utilising natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
Please complete your application before 23rd October 2026. We encourage you to apply as early as possible as we review applications on a rolling basis. This internship is intended for students enrolled in their penultimate/final year of education in an accredited full-time PhD degree program located in the EMEA region. Participation in the internship program requires that you are located in one of the specific country locations identified for this role, for the duration of the internship program. Interns will be required to be available to work full-time for a minimum of 13 weeks over the Summer 2027 (starting in May, June or July) for the duration of the program. Individuals applying for this position will not be eligible for immigration sponsorship.
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):
- In the “Resume Section:” attach an updated CV or resume
- In the “Education Section:” attach a current or recent unofficial or official transcript in English. Under “Degree Status,” select “Now attending” to upload a transcript. Please include your expected graduation date (month and year), and availability for the internship on your resume.
The specific team and project(s) will be determined based on your educational background, interest and skills.
Research Scientist PhD Intern, 2027 in London employer: Google
Google is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among its employees. With a strong commitment to professional development, team members have access to numerous growth opportunities and resources to enhance their skills. Working remotely in the UK allows for a flexible work-life balance while being part of a globally recognised leader in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist PhD Intern, 2027 in London
✨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 Research Scientist PhD Intern, 2027 in London
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 Google 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 Google
✨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 Google.
✨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 Google that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
