Student Researcher, PhD, Winter-Summer
Listed on 2026-09-27
-
Science
Research Scientist, Data Scientist
Applications are reviewed on a rolling basis; we encourage early submission. The anticipated application window is open until July 16, 2027
, but may close earlier if all available projects are full.
- This application is intended for candidates who will be enrolled in a PhD degree program at the time of the engagement and have a demonstrated research focus.
- Unlike the Research Internship, which is a structured seasonal placement, the Student Researcher role offers greater flexibility in weekly time commitment, project duration, and onsite/remote options. Specific work arrangements and engagement timelines are confirmed during the offer stage.
- This program is intended for students who will continue their academic studies. Participation in this program does not guarantee automatic full-time hiring consideration. Individuals interested in pursuing a full-time role at Google following their Student Researcher engagement are encouraged to apply through standard external hiring channels.
- Participation in this program requires that you are located in the United States for the duration of the engagement, though select remote arrangements from within the United States or Canada may be permitted depending on project requirements. Candidates residing in other countries must relocate to the United States for the engagement.
- Because projects are approved on an ongoing basis throughout the application cycle, application review takes place continuously and may take several months. You will be contacted directly if your application is selected to advance in the hiring process.
Start dates for this role are typically between January and August 2027. Applications submitted after the window closes or once all projects are filled will not be considered.
Note:
By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA;
Ann Arbor, MI, USA;
Atlanta, GA, USA;
Austin, TX, USA;
Boulder, CO, USA;
Cambridge, MA, USA;
Chicago, IL, USA;
Houston, TX, USA;
Irvine, CA, USA;
Kirkland, WA, USA;
Los Angeles, CA, USA;
Madison, WI, USA;
New York, NY, USA;
Palo Alto, CA, USA;
Princeton, NJ, USA;
Pittsburgh, PA, USA;
Raleigh, NC, USA;
Durham, NC, USA;
Goleta, CA, USA;
San Bruno, CA, USA;
Seattle, WA, USA;
San Francisco, CA, USA;
San Jose, CA, USA;
Sunnyvale, CA, USA;
Washington D.C., DC, USA
.
- Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a 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).
- Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
- Currently attending a degree program in the United States.
- Experience as a researcher, including internships, full-time, or at a lab.
- Experience contributing to 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.).
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based Interns. Benefits for this role include:
- Health, dental, vision insurance
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Holidays: 13 paid days per year
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
The 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…
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