▷ Urgent! Research Associate with Professor Gurvinder Sandhu

Role : Research Associate

Location : Hyderabad

No of Openings : 1

Faculty Name : Professor Gurvinder Sandhu

Academic Area : Accounting

Start Date : ASAP

Duration : 1–2 years

Research Summary of the Faculty :

Gurvinder Sandhu is an Assistant Professor of Accounting at the Indian School of Business (ISB). He holds a PhD in Management Science from the University of Texas at Dallas. He also holds an MBA from Melbourne Business School (University of Melbourne) and a B. Com from Kurukshetra University.

Professor Sandhu’s research explores financial institutions, credit markets, and firms’ voluntary disclosures. His empirical work looks at what forces shape banks’ loan portfolios. He has developed a bank diversification measure that captures how diversified banks are in their commercial loan portfolio.

His research has been accepted at various academic conferences, including the American Accounting Association and the European Accounting Association. His teaching interests lie in financial accounting, specifically financial statement analysis and introductory financial accounting. profile.

About ISB

The Indian School of Business (ISB) evolved from the need for a world-class business school in Asia. The founders, some of the best minds from the corporate and academic worlds, anticipated the leadership needs of the emerging Asian economies. The ISB is committed to creating such leaders through its innovative programs, outstanding faculty, and thought leadership. The Indian School of Business (ISB) provides a robust environment that generates high-quality research that is both contemporary and rigorous.

Roles & Responsibilities :

What you’ll do :

• Build / clean / merge large datasets : document reproducible workflows
• Run statistical / econometric analyses (event studies, DiD, panel, text / NLP if relevant)
• Conduct literature reviews and draft / write research sections
• Help prepare replication packages and submission materials
• High performers, post-ramp-up, may be considered for co-authorship

Note : This role is designed as a pre-PhD bridge for the candidate to get into top Accounting / Finance PhD programs in the world. It is not for corporate industry tracks. Because empirical financial accounting overlaps heavily with corporate finance, both Accounting and Finance PhD-bound candidates are very welcome to apply.

Why this role (benefits)

Think of it as a focused 2-year preparatory pathway into top Accounting / Finance PhD programs : immersion in active projects, skill-building in modern empirical methods, and close mentorship. Competitive salary commensurate with qualifications.

Required Skills and Qualifications :

Master’s degree in economics / Finance / Statistics / Econometrics / Mathematics / Physics or engineering (electrical, signal processing, computer science), or a 4-year bachelor’s degree in mathematics / physics / economics from a premier institute.

Our Commitment towards you :

ISB is a research-focused business school. It offers a variety of opportunities to understand the current management phenomena in depth, through research brown-bag seminars, workshops, and PhD-level courses. It provides several options to hone a person’s analytical skills. This position is best suited for a candidate with an interest in pursuing a PhD down the line.

Along with the competitive salary and plethora of employee benefits, ISB hosts a world-class Learning Resource Centre in the entire Asia, Comprehensive Health and Personal Accident Cover for you and your family members. ISB believes in creating a truly inclusive culture that values diversity, equity, and inclusion for everyone through our ideas and collaborations.

How to apply :

Send an email to gurvinder_sandhu@isb.edu and nevil_joseph@isb.edu with the following :

Email Subject : Application – Research Associate – Prof. Gurvinder Sandhu

1. CV (include GPA, key methods / programming coursework).

2. 1–2 paragraphs on your motivation and preparedness.

3. (Optional but helpful) code sample in Python / R or a short empirical write-up.

4. Earliest start date and current location / time zone.

We will connect with you shortly.