
Research Scientist PhD Intern, 2026
- London
- Training
- Full-time
- In the “Resume Section:” attach an updated CV or resume
- In the “Education Section:” attach a current or recent unofficial or official transcript in English.
- Under “Degree Status,” select “Now attending” to upload a transcript.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland; Munich, Germany.Minimum qualifications:
- Currently enrolled in a PhD degree in Computer Science or a related technical field in the EMEA region, and in your penultimate/final year of education.
- Experience in one or more Research areas: NLU/Processing, Computer Vision, LLMs, AI Architecture, Audio Processing, Spatial/Temporal Modeling, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, Machine Intelligence (Artificial Intelligence), AI/ML Algorithms, Deep Learning or Image Processing, Multimodal, Multilingual and Reinforcement Learning.
- Experience with research from previous internships, full-time industry experience, personal projects, lab work, or published papers.
- Experience in one or more general purpose programming languages: Java, C++, Python, or Go.
- Experience as a researcher, including internships, full-time, or at a lab.
- Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
- Experience with one or more general purpose programming languages (e.g., C/C++, MATLAB, PAX/JAX, etc.).
- Ability to complete a 13-17 week full-time internship in the internship location starting in either May, June or July 2026.
- Ability to design and execute on research agendas.
- Participate in research to develop solutions for real-world, large-scale problems.
- Research, conceive, and develop software applications to extend and improve on Google's product offering.
- Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.