Google Part-Time Research Scientist PhD Intern 2027 offers PhD students an opportunity to gain advanced research experience through a Google Research internship focused on artificial intelligence, machine learning, natural language processing, computer vision, and large-scale computing projects. The internship allows doctoral candidates to contribute to real-world technology solutions while working with Google research teams and developing innovative approaches in computer science.
Google Part-Time Research Scientist PhD Intern 2027
Google is inviting applications for the Part-Time Research Scientist PhD Intern 2027, a research-focused internship designed for doctoral students who want to contribute to advanced technology projects. The programme provides PhD candidates with the opportunity to work on cutting-edge research areas including artificial intelligence, machine learning, natural language processing, data mining, and computer vision.
The internship is intended for students in the penultimate or final year of an accredited full-time PhD programme in Israel. Selected interns will work part-time alongside their studies for a minimum of 26 weeks during 2027.
Background & Internship Description
Google Research conducts research across multiple technology areas that influence products and services used globally. Research interns contribute to projects involving emerging technologies and help develop solutions to complex real-world challenges.
Research-focused engineering interns at Google work on experiments, prototypes, architectures, and implementations that support innovations across areas such as:
- Artificial intelligence.
- Machine learning.
- Natural language processing.
- Search technologies.
- Data mining.
- Computer vision.
- Software and hardware performance analysis.
Google Research teams focus on advancing technology through fundamental research, product innovation, academic collaboration, and open-source contributions.
Internship Details
Programme: Part-Time Research Scientist PhD Intern 2027
Organisation: Google
Category: Internship & Apprentice
Location: Tel Aviv, Israel / Haifa, Israel
Application deadline: 23 October 2026
Duration: Minimum 26 weeks
Working arrangement: Part-time (2–4 days per week)
Start period: March, April, or May 2027
Applicants must be located in Israel during the internship period. Immigration sponsorship is not available for this position.
Tasks and Responsibilities
The selected PhD Research Scientist Intern will support research projects and contribute to Google’s technology development efforts.
Key responsibilities include:
Conduct Advanced Research
Interns will participate in research activities focused on solving large-scale technology problems. This includes exploring new approaches, analysing existing methods, and developing innovative solutions.
Develop Software and Research Applications
Interns will research, design, and develop software applications that improve Google products and technologies.
Work on Artificial Intelligence Projects
Research projects may involve:
- Machine learning algorithms.
- Large language models (LLMs).
- Natural language processing.
- Computer vision.
- Deep learning.
- Reinforcement learning.
- Multimodal and multilingual AI systems.
Create Research Prototypes
Interns may develop experimental systems, test new ideas, and evaluate research concepts before potential integration into Google products.
Collaborate with Research Teams
Participants work with Google researchers, engineers, and academic partners to advance technology research.
Research Areas
Applicants should have experience in one or more of the following fields:
- Natural Language Understanding and Processing.
- Computer Vision.
- Large Language Models.
- Machine Learning.
- Algorithmic Foundations of Optimization.
- Data Mining.
- Machine Intelligence.
- AI/ML Algorithms.
- Deep Learning.
- Image Processing.
- Multimodal Learning.
- Multilingual Systems.
- Reinforcement Learning.
Qualifications
Education Requirements
Applicants must:
- Be currently enrolled in a PhD programme in Computer Science or a related technical field.
- Be in the penultimate or final year of their doctoral studies.
- Be studying at an accredited full-time institution in Israel.
Candidates must provide:
- Updated CV or resume.
- Current unofficial or official transcript in English.
- Expected graduation date.
- Internship availability details.
Technical Skills and Experience
Applicants should demonstrate:
- Experience with research projects.
- Knowledge of computer science research methods.
- Programming experience in languages such as:
- Python.
- C++.
- Java.
- Go.
Eligible experience may come from:
- Previous research internships.
- Industry experience.
- Laboratory research.
- Personal projects.
- Published academic papers.
Preferred Qualifications
Additional advantages include:
- Previous research experience in academic or industry environments.
- Publications in conferences or journals.
- Experience contributing to research communities.
- Ability to design and execute research projects.
- Ability to complete the full 26-week internship period.
Application Process
Interested candidates should prepare:
- Updated CV or resume.
- Academic transcript in English.
- Expected graduation date.
- Internship availability information.
Applicants should submit documents through the Google Careers application system.
Applications are reviewed on a rolling basis, so candidates are encouraged to apply early before the deadline.
Additional Information
The Google Part-Time Research Scientist PhD Intern 2027 opportunity is suitable for doctoral researchers interested in gaining industry research experience while contributing to technologies shaping the future of artificial intelligence.
The internship provides exposure to global research environments, collaboration with expert teams, and opportunities to work on projects that influence widely used Google products and services.
This programme is especially valuable for PhD candidates specialising in AI, machine learning, computer science, and related technical disciplines who want to expand their research impact beyond academia.
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