Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields. For our research centre to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics.
Job Purpose :
We are seeking a highly motivated PhD candidate (preferably in their 3rd or 4th year) with a strong background in causal inference and an interest in causal reasoning. This is a full-time, remote internship where you will contribute to cutting-edge research in causal inference and its applications in LLMs.
Key Responsibilities :
Work Location :
Remote - Work from Home
Duration of the paid internship :
The paid internship will be for six months starting third week of October 2025.
The working hours are from 9 : 00 to 18 : 00 (Monday to Friday) full-time.
Essential Education :
Preferred Ph.D. candidate for this internship with thesis aligned towards causal inference or data science topics. We also welcome candidates with Bachelors and Master Degree who have sufficient project / prior internship work experience in Causal area.
Skills required : Essential Skills :
Good to have Skills :
Our Values :
Dreams & Curiosity : Pioneer the future with dreams and curiosity.
Diversity : Pursue the creation of the very best by harnessing diversity and varying viewpoints.
Integrity & Sincerity : Earn the trust for Sony brand through ethical and responsible conduct.
Sustainability : Fulfil our stakeholder responsibilities through disciplined business practices.
Sony Research India is committed to equal opportunity in all its employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws.
Intern • Nagpur, IN