Google has commenced the application process for the Student Researcher Internship and Apprenticeship Programme 2026. Eligible students can apply online to work on large-scale, real-life research projects. The deadline for applications is February 26, 2026. This programme offers students the chance to engage in research that addresses complex problems. To apply, students need to visit the Google Careers website. Check eligibility criteria and placement details below. (File Photo)
The Google Student Researcher Programme 2026 places students directly into ongoing research projects that align with the company’s scientific priorities. The programme is focused on solving real-world problems through hands-on research and innovation. As a student researcher, participants will collaborate closely with Google researchers, engineers, and scientists on exploratory projects that contribute to the development of advanced technologies. (Representative/File Photo)
Placements are available in teams such as Google Research, Google DeepMind, and Google Cloud, with varying project durations and locations. Students must reside in an approved country for the entire duration. Applicants must be currently pursuing a bachelor’s, master’s, or PhD degree. Candidates with backgrounds in computer science, linguistics, statistics, biostatistics, applied mathematics, operations research, economics, natural sciences, or equivalent practical experience are eligible to apply. (Representative/File Photo)
Candidates should have experience in at least one computer science discipline, such as natural language understanding, human-computer interactions, generative media, computer vision, machine learning, deep learning, algorithmic foundations of optimisation, quantum information science, data science, or software engineering. Google will give preference to certain profiles. (Representative/File Photo)
Priority will be given to those in a full-time degree programme in the EMEA region, those returning to education after an internship, individuals with prior research experience through internships, full-time jobs, or lab work, those with published papers in major conferences or journals, and those proficient in C, C++, Java, MATLAB, Go, Python, or equivalent programming languages. (Representative/File Photo)
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