Student Researcher, PhD
quantum usaChicago, IL
$118,000 - $157,000
APPLY (opens in a new tab)Student Researcher, PhD
quantum usaChicago, ILIntern L1
$118,000 - $157,000
Research and Development in the Physical, Engineering, and Life SciencesColleges, Universities, and Professional SchoolsResearch and Development in the Social Sciences and Humanities
APPLY NOW (opens in a new tab)Student Researcher, PhD, Winter/Summer 2026
Location: Mountain View, CA, USA (and 18 additional U.S. locations)
Job Type: Research Fellowship (PhD Student Research Program / Internship & Apprentice)
Responsibilities:
- Participate in research projects aligned with Google's scientific and technological priorities.
- Conduct exploratory research focused on solving real-world, large-scale challenges.
- Collaborate with researchers, engineers, and scientists across Google teams.
- Contribute to the development of innovative technologies and next-generation intelligent systems.
- Apply advanced computer science and research methodologies to scientific problems.
- Support research initiatives across organizations including Google Research, Google DeepMind, Google Cloud, and related teams.
- Work on projects involving areas such as: Machine LearningDeep LearningNatural Language UnderstandingComputer VisionHuman-Computer InteractionData ScienceSoftware Engineering
- Optimization Algorithms
- Quantum Information Science
- Collaborate with academic and industry researchers to advance scientific knowledge and technology development.
- Contribute to breakthrough research that improves products, services, and computing capabilities.
Qualifications:
- Currently enrolled in a PhD degree program in: Computer Science
- LinguisticsStatisticsBiostatisticsApplied Mathematics
- Operations Research
- EconomicsNatural Sciences
- Or a related technical field
- Experience in at least one computer science research area, including: Machine LearningDeep LearningNatural Language UnderstandingComputer VisionHuman-Computer InteractionData ScienceSoftware Engineering
- Algorithmic Optimization
- Quantum Information Science
- Related research disciplines
Preferred:
- Enrolled full-time in a degree program and returning to studies after completing the research engagement.
- Currently attending a university in the United States.
- Previous research experience through: Research laboratories
- InternshipsAcademic projects
- Full-time research positions
- Experience contributing to research communities through publications in conferences or journals.
- Experience with one or more programming languages, including: PythonJavaJavaScriptC/C++Similar programming languages
Benefits and Compensation:
Annualized salary range: $118,000 - $157,000 USDCompensation is based on skills, experience, education, and relevant training.
Benefits:
- Medical, dental, vision, life, and disability insurance.401(k) retirement plan with company matching contributions.20 days of paid vacation annually.
- Sick leave: 40 hours per year69 hours per year for Seattle-based participants
- Five discretionary sick days per occurrence.
- Maternity leave: 28 to 30 weeks.
- Baby bonding leave: 18 weeks.13 paid holidays annually.
Application Instructions:
- Applications are reviewed on a rolling basis.
- Applicants are encouraged to apply early.
- The anticipated application deadline is July 17, 2026, though the position may close earlier if projects are filled.
- Applicants must submit: Updated CV or resume
- Current unofficial or official transcript in English (PDF preferred)
- Resume should include: Expected graduation date (MM/YY format)
- Programming language proficiencies
- Participants must be physically located in the United States for the entire duration of the engagement.
- English proficiency is required for participation.
Other Information:
This program is intended for PhD students who are not seeking full-time employment immediately after the program.
The position is non-conversion eligible, meaning it does not lead directly to a full-time role.
Project duration, schedule, and work arrangement (onsite, hybrid, or remote) vary depending on team and project requirements.
Typical start dates fall between January and July; Participants may be considered for research opportunities across Google organizations, including Google Research, Google DeepMind, Google Cloud, and other research teams.
Google is committed to equal employment opportunity and complies with applicable fair chance hiring laws and regulations.
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