Student Researcher (PhD, Winter-Summer 2027) – Google – Waterloo, ON
Google is looking for curious, driven PhD students to join its Student Researcher Program in Waterloo, Ontario for the Winter-Summer 2027 term. This is a chance to work on real-world, large-scale research problems alongside some of the most talented scientists and engineers in the industry — across teams including DeepMind, Google Research, and Google Cloud.
Unlike a typical internship, this program is built around exploratory, project-based research that directly supports scientific advancement. You’ll be matched to a project based on your skills and interests, with the opportunity to contribute to breakthrough technologies spanning areas like artificial intelligence, machine learning, natural language processing, quantum information science, and more.
About the Role: Student Researcher, PhD
As a Student Researcher at Google, you’ll be embedded within a research team working on problems that push the boundaries of computing. Projects vary in duration and scope, but all share a common thread: advancing the state of the art in computer science and related disciplines. You’ll collaborate with researchers and engineers who are shaping the future of AI systems, sustainability, algorithm design, and intelligent infrastructure at global scale.
This role is fully located in Canada for the duration of the engagement. When you apply, you’re considered across all of Google’s research teams, which means the matching process is designed to align your academic expertise with the most relevant and impactful project available.
Benefits and Salary
Google offers a competitive annual salary of $120,000 CAD for this Student Researcher position, with a 0% bonus target. Beyond compensation, Google is well known for its robust benefits programme — visit Google’s careers page to learn more about what’s included.
Job Details
🏢 Company: Google
📍 Location: Waterloo, ON, Canada
📌 Job Type: Student Researcher (PhD)
🆔 Requisition ID: 75043041429070534
⏱️ Schedule: Winter-Summer 2027
💰 Pay: $120,000 CAD/year
Responsibilities
Student Researchers at Google take on exploratory research projects that span multiple disciplines and teams. The work is collaborative by nature, designed to advance scientific knowledge while also supporting the development of real products and systems used by billions of people.
- Participate in research projects focused on developing solutions for real-world, large-scale problems
- Collaborate with Google researchers and engineers across teams including DeepMind, Google Research, and Google Cloud
- Explore innovative research challenges in areas such as AI, machine learning, natural language understanding, and related fields
- Contribute to the creation of breakthrough technologies that advance computing and intelligent systems
- Support research efforts aligned with Google’s priorities in scientific advancement, including sustainability, algorithmic optimization, and AI systems
Requirements / Skills
Google is looking for PhD candidates who are actively engaged in cutting-edge research and bring hands-on experience in computer science or a related technical field. Strong candidates will have a genuine passion for scientific inquiry and the ability to work collaboratively on ambitious, open-ended problems.
- Currently enrolled in a PhD in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field
- Experience in at least one area of computer science such as Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Quantum Information Science, Data Science, or similar
- Currently attending a degree program in Canada and able to be located in the specified country for the full duration of the engagement (preferred)
- Returning to your degree program after completion of the Student Researcher placement (preferred)
- Programming experience in one or more general-purpose languages such as Python, Java, JavaScript, or C/C++ (preferred)
- Research community involvement, including publishing papers in major conferences or journals (preferred)
- Prior research experience through internships, full-time roles, or academic lab positions (preferred)
How to Apply
To apply, visit the official Google Careers posting using the link below. Make sure your resume and any relevant academic or research materials are up to date before submitting.
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Job Summary & Tips for Applying
Quick Summary & What to Highlight: This Student Researcher (PhD) role at Google in Waterloo is perfect for candidates who excel in applied research, machine learning or AI, and programming. On your resume, emphasize any experience with academic or industry research projects, proficiency in languages like Python or C++, and your ability to work on open-ended, exploratory problems. If you’ve previously published in conferences or journals, or contributed to a research lab, make sure to highlight those achievements prominently.
Resume & Application Tips: Before applying, tailor your resume to match the job description. Include keywords like machine learning, natural language understanding, and PhD research that appear in the posting. Quantify your achievements where possible (e.g., “published 2 papers at NeurIPS” or “developed a model that improved baseline accuracy by 12%”). Write a brief cover letter expressing your genuine interest in Google‘s research mission and why you’re a strong fit for a project in Waterloo. Double-check your application for spelling errors and ensure your contact information and academic affiliation are current.
Interview Preparation: If selected for an interview, research Google‘s recent research publications, team priorities, and work across DeepMind and Google Research beforehand. Prepare specific examples using the STAR method (Situation, Task, Action, Result) to demonstrate your research skills and problem-solving ability. Common questions may include scenarios about navigating ambiguous research problems, collaborating across disciplines, and explaining complex technical concepts. Dress appropriately for a research and technology environment, arrive (or join virtually) 10–15 minutes early, and bring or have ready copies of your CV and any relevant publications. Prepare thoughtful questions about the specific research team, project scope, and mentorship opportunities. After the interview, send a thank-you note within 24 hours reiterating your interest in the position.
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