To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):
- In the “Resume Section:” attach an updated CV or resume. Please ensure you include the following in it, all consolidated in a single PDF:
- Research work: Projects, Publications, Research experience and References (if any)
- Statement of purpose (no more than 500 words), detailing reasons for your interest in the Post-Doctoral Researcher role.
- Please ensure you’ve listed your graduation date (in MM/YY)
- In the “Education Section:” attach a current or recent unofficial or official transcript in English. Under “Degree Status,” select “Now attending/Graduated” to upload a transcript.
If you think this role interests you, please apply to this role on or before 05/01/26.
Minimum qualifications:
- PhD degree in a STEM field (e.g., Computer Science, Mathematics, or Statistics) or equivalent practical experience.
- Experience with one or more general purpose programming languages: Python, C/C++, or Java, etc. and training deep learning models in frameworks such as JAX, TensorFlow, or PyTorch.
- Research experience in machine learning or AI techniques (e.g., open source project(s), campus lab experience, research internship(s), or publication(s)).
- One or more scientific publication submission(s) in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).
Preferred qualifications:
- Master’s degree in a STEM field (e.g., Computer Science, Mathematics, or Statistics), or equivalent practical experience.
- Ability to work and collaborate across multiple teams and work with ambiguity.
About The Job
The Post-doctoral Researcher role is a 12 to 24-month role designed to give you industry experience working on challenging problems together with Google DeepMind India scientists and engineers in India.
As a Post-Doctoral Researcher, you will collaborate with researchers, scientists, and engineers at Google DeepMind India working on fundamental research and applied problems in a wide range of areas in Computing. You will have a wide range of opportunities ranging from conducting fundamental research and exploring their applications in products and services used by billions of people, and conducting research that contributes to human-centered AI and catalyzes AI for Social Good.
Google DeepMind India addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in top-tier conferences,academic journals, release projects as open source, and apply research to Google products.
Responsibilities
- Work with research mentors to formulate research projects and/or novel applications of machine learning aligned with the teams mission.
- Conduct research and publish high quality work.
- Design and execute large-scale experiments, writing high-quality, reusable code, and contributing to a production-ready system using frameworks such as JAX.
- Learn and understand research in machine learning algorithms.
- Understand how to use research to drive design decisions.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Googles EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .