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Research Associate - Thomas Schmidheiny Centre for Family Enterprise

Min Experience

0 years

Location

Hyderabad

JobType

full-time

About the job

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About the role

Thomas Schmidheiny Centre for Family Enterprise at the Indian School of Business seeks to advance real-world and academic knowledge of family business. The Centre wants to recruit promising young candidates with an aspiration to pursue a career in research and academics. We seek applications from motivated individuals with a strong academic background to work as Research Associates at the Centre. Position details: The Centre is looking for bright and motivated post-graduates (fresh or up to 5 years of work experience) in Commerce, Economics, Engineering, Management, and other social science disciplines. They will be primarily required to assist the Executive Director, Academic Director, and other faculty associated with the Centre in their research work - data collection, developing research database, data cleaning and in the development of research papers and case studies. · They will also be required to document and write up the result of projects, research activities, and events for the purpose of dissemination and publication. · They will assist the Centre in organizing its flagship biennial conferences, workshops, training programs, and contribute to the Family Enterprise Quarterly (the quarterly magazine published by the Centre). · They will help the Centre to refine and upgrade its database on family businesses. · They may occasionally be asked to assist with administrative work at the Centre. · They will get an opportunity to develop and hone their research skills so that after a stint of 2-3 years, they will be ready to join a doctoral program in management at business schools globally.

About the company

Indian School of Business (ISB) is one of the top business schools in India. The Thomas Schmidheiny Centre for Family Enterprise at ISB seeks to advance real-world and academic knowledge of family business.

Skills

research
data collection
data cleaning
econometrics
SAS
STATA
Python
R
Tableau
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