Student Researcher, PhD, Winter/Summer 2025

Job Description

Student Researcher, PhD, Winter/Summer 2025Locations:Waterloo, ON, Canada; Montreal, QC, Canada; 2 more; 1 moreJob Type:Intern & ApprenticeApplication Information

• Applications will be reviewed on a rolling basis and its in the applicants best interest to apply early.
• The anticipated application window is open until July 11, 2025, but may close earlier if all available projects are full.
• Applications submitted after the application window or once the role is closed/projects are full will not be considered.
• Participation in this program requires that you are located in Canada for the duration of the engagement.

This opportunity is intended for students who are pursuing a PhD degree program in Computer Science or a related field. Our Student Researcher opportunities are flexible in time commitment, length of opportunity, and onsite/remote nature, depending on the specific project and host needs. Start dates for this role are typically January through August.This program is best suited for students who will not be seeking full-time employment following this role, as this program is non-conversion eligible. If you are graduating in the near future, we encourage you to apply to the Research Internship opening - g.co/jobs/PhDresearchinternCA.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.To start the application process, you will need:

• An updated CV or resume
• A current unofficial or official transcript in English (PDFs preferred).
• Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on the resume.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Montreal, QC, Canada; Toronto, ON, Canada.Minimum Qualifications

• Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field.
• Experience in one area of computer science (e.g., Natural Language Understanding, Human Computer Interactions, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).

Preferred Qualifications

• Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
• Currently attending a degree program in Canada.
• Experience as a researcher, including internships, full-time, or at a lab.
• Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
• Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C , etc.).

About the JobThe Student Researcher Program fosters academic collaborations by hiring students onto research projects aligned to company priorities in scientific advancement. The program offers placements on teams across Google, for research, engineering, and science roles. As a Student Researcher, you will have the opportunity to participate in research projects focused on developing solutions for real-world, large-scale problems.Student Researcher projects are exploratory and hands-on experiences that drive scientific advancement across a multitude of research areas. Students will work collaboratively on projects that explore innovative research challenges and support the creation of breakthrough technologies. Projects vary in duration and location based on team and student requirements. It is required that you are located in one of the specific country locations identified for this role for the full duration of the engagement. When you apply, you will be considered for Student Researcher positions across all of Googles research teams including Google DeepMind, Google Research, Google Cloud, and more. This allows us to find the right project match for your skills and interests.Researchers across Google are working to advance the state of the art in computing and build the next generation of intelligent systems for all Google products. To achieve this, we invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether were shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.Responsibilities

• Participate in research to develop solutions for real-world, large-scale problems.

Privacy Notice: Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Keyskills :
research methodologies programming proficiency data analysis techniques machine learning concepts natural language processing job posting recruitment workforce communication