Join Google as a Pre-Doctoral Researcher in Bangalore | 2023 Batch Eligible | B.E/B.Tech/M.EM.Tech are eligible to Apply ~ Placement Officer

Join Google as a Pre-Doctoral Researcher in Bangalore | 2023 Batch Eligible | Apply Now

Google Freshers Recruitment 2023 For University Graduate At Bangalore Location For Candidates Who Have Completed Education In BE/ B.Tech/ ME/ M.Tech Branches Are Eligible To Apply.

This post is about a Pre-Doctoral Researcher position at Google in Bangalore for 2023 graduates. The role offers a 24-month experience working on challenging problems with Google Research scientists and engineers, conducting fundamental research, contributing to products and services, and publishing work externally. The post includes information about qualifications, responsibilities, and application instructions.

Company Name	Google
Name Of Post	Pre- Doctoral Researcher
No Of Post	Not Mentioned
Who Can Apply ?	BE/ B.Tech/ ME/ M.Tech
Which Batch Students Eligible	2023 Batch
Job Location	Bangalore
Salary	As Per Company Standards
Application Mode	Online
Last Date To Apply	Not Mentioned
Official Website	www.google.co.in

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):

1. In the “Resume Section:” attach an updated CV or resume. Please make sure also to include the following in it, all consolidated in a single PDF:

1. Research work: Projects, Publications, Research experience and References (if any)

2. Statement of purpose (no more than 500 words), detailing reasons for your interest in the Pre-doctoral Researcher role.

2. 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 5th May 2023.

Minimum qualifications:

Bachelor's degree in a STEM field (e.g., Computer Science, Mathematics, Statistics, etc.) or equivalent practical experience.
Experience with one or more general purpose programming languages: Python, C/C++, Java, etc.
Research experience in machine learning or AI techniques (e.g., open source project, campus lab experience, research internship, publication, etc.).

Preferred qualifications:

Master’s degree in a STEM field (e.g., Computer Science, Mathematics, Statistics) or a related field.
Ability to work and collaborate across multiple teams and work with ambiguity.

About the job

This Researcher role is a 24-month role designed to give you experience working on challenging problems together with Google Research scientists and engineers in India before pursuing (or making a decision on pursuing) doctoral research.

As a Researcher, you will collaborate with researchers, scientists, and engineers at Google Research working on fundamental research and applied problems in a wide range of areas in Computing. You will have a wide range of opportunities from conducting fundamental research to contributing to products and services and conducting research that contributes to human-centered AI and catalyzes AI for Social Good. We encourage our Researchers to publish their work externally.

Google Research 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 academic journals, release projects as open source, and apply research to Google products.

Responsibilities

Work with research mentors to formulate research projects or applications of machine learning.
Conduct research and publish it.
Implement algorithms, experiments, or human-computer interfaces using frameworks (e.g., TensorFlow).
Learn and understand research in machine learning algorithms.
Understand how to use research to drive design decisions.