IIMA CDT Research Assistant and Associate Recruitment 2026

IIMA CDT Research Assistant and Associate Recruitment 2026: Overview

Indian Institute of Management Ahmedabad (IIMA) is looking for Research Assistants for its Centre for Digital Transformation (CDT). You will work on faculty-led research projects about how digital technologies change businesses and organisations. If you already hold a PhD, IIMA will consider you for the Research Associate position instead.

This is a project-based contract role, and it is a good fit if you enjoy data work and are thinking about a PhD later — the notice openly encourages such candidates to apply. You will report to Prof. Pankaj Setia and Prof. Swanand Deodhar, the co-chairpersons of the centre.

Posts and Disciplines

• Research Assistant: the main opening, best suited to candidates with a master's degree in Information Systems, Management, Data Science, Computer Science and Engineering or a related field.
• Research Associate: the same research work, offered to applicants who hold a PhD.

For both roles, IIMA prefers people who code in Python and R, handle large panel datasets, and are comfortable with econometrics, simulations, text analytics and reading research papers. Knowing Stata is a plus.

Service Conditions and Caveats

• Tenure: The first appointment is for 6 months; it can be extended if your performance is good.
• Pay: There is no fixed figure in the notice — pay is set according to your qualifications and experience.
• Work location: You work from the IIMA campus in Ahmedabad and get access to the library and computer centre.
• Accommodation: You must arrange your own stay outside the campus; IIMA does not provide housing for this role.

Application Submission Notes

There is no online form. Email your latest CV and a cover letter to cdt-secretary@iima.ac.in with the subject line "RA: Centre for Digital Transformation." Use this exact subject — applications with the wrong subject may be ignored.

• Prepare and launch research surveys
• Extract and clean data for faculty research projects
• Run large panel data and econometric models
• Create clear data visualisations for research papers
• Review and summarise academic literature on digital transformation
• Support faculty in preparing academic research publications