IT services provider Tata Consultancy Services (TCS) has invited applications for internship in research for computer science. TCS Internship 2022 Program has been announced and is currently accepting applications for it.
The company said in its official statement for the TCS Internship 2022 program, “If you have a consistent, shining academic record, as well as a passion for R&D, join us to conduct research in the industrial sector. R&D Environment and solve industry-level problems under the supervision of senior researchers.”
TCS is recognized as a Global Exchange Partner of AIESEC. The ACE program provides career development opportunities for over 200 AISEC interns annually.
See more details on how to apply for the internship here
eligibility
Students or scholars pursuing PhD, MS, M.Tech or in the final year of BE or B.Tech with aptitude for research in any field of Computer Science can apply.
master and PHD. students One can also apply from leading institutions in the fields of psychology, sociology, economics, mathematics, game design and organizational behavior.
where to apply
If you are interested, please click here and fill out the form, or write to careers.research@tcs.com with any questions.
internship period
Internships can vary from six to eight weeks (short internship) or 16 to 18 weeks (long internship), with the option of tailoring the duration in some cases.
Areas of responsibility for interns include;
– Creation of assets related to research and development
– Define research problems and design solutions for them
Develop prototyping solutions by applying industry-level data
Publish research papers in top-tier conferences and journals
– research execution
– Conduct literature surveys and identify opportunities and challenges
– Execute proof of concept
-Contribute to the development of equipment and products
-learning and development
-Learn about emerging trends and technologies in industrial research
Define the challenges involved in applied research
– Clarify research problems and design solutions systematically