Overview

Role: Research Associate

Location: Hyderabad / Mohali

No of Openings: 1

Faculty Name: Professor Sumeet Kumar

Academic Area: Information System

Research Summary of the Faculty

Professor Sumeet Kumar:

The Indian School of Business (ISB) aims to train promising young researchers in various disciplines of management (Accounting, Finance, Economics and Public Policy, Information Systems, Marketing, Operations Management, Organizational Behaviour, and Strategy). Toward this end, we seek applications from motivated individuals with a strong academic background for the position of Research Associate (RA). RAs work directly and closely with ISB’s faculty members on their research projects. Many RAs, after successful completion of their projects, have been admitted to graduate programs (Masters/Ph.D.) in top universities across the world.

This posting is for an RA position with Prof. Sumeet Kumar (Information Systems, ISB) in the broad area of using Artificial Intelligence for solving business and societal problems. Selected candidate will assist the faculty member on research projects using approaches from GenAI, data science and machine learning.

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 and Responsibilities

You will:

• Developing machine learning models to analyse unstructured data (language/video)
• Collecting and processing large scale language and video data
• Using platforms like M-Turk to label data
• Conducting literature review in a broad array of disciplines including computer science, information systems, economics
• Collaborating with various stakeholders such as schools

Required Skills and Qualifications

Skills and Qualifications:

• Good understanding of Machine Learning
• Working knowledge of programming languages such as Python
• Undergraduate / graduate degree in any of the following disciplines: Computer Science, Engineering, Social Sciences
• Superior academic performance, especially in analytical and quantitative courses
• Excellent written and oral communication skills; demonstrated evidence of writing (reports, articles, dissertations) preferable
• Ability to incorporate intellectual inputs from multiple disciplines and to work independently
• Strong professional ethic including attention to detail, commitment to task completion under aggressive deadlines, and ability to multitask

Preferred Experience and Skills

• Good understanding of Econometrics
• Relevant projects in machine learning and natural-language processing
• Advanced programming skills
• Understanding of econometric models

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.

For any queries, reach out to - careers_ra_fd@isb.edu. Kindly do not share your resumes or CVs via email. Please use the link below for submissions.

If this role is your true calling, please fill out the form using the below-mentioned link.

https://www.cognitoforms.com/IndianSchoolOfBusiness9/FDOHiringForm 

Applications will be reviewed on a rolling basis, and only shortlisted candidates will be contacted for the next steps.