Research Associate

Research Associate Position under the Professor Deepa Mani Research Associate Position under the Professor Deepa Mani Research Associate position under Professor Deepa Mani

• Research Summary
• Roles and Responsibilities
• Required Skills and Qualifications

Role: Research Associate

Research Summary of the Faculty Professor: Deepa Mani

Professor of Information Systems at the Indian School of Business (ISB faculty). Prof.Deepa s research interests are at the intersection of technology, organization, and society. She has demonstrated significant thought leadership on the business and policy implications of technological innovations and investments. Her research articles have been published in leading academic journals such as Information Systems Research, MIS Quarterly, Strategic Management Journal, among others. Prof.Deepa also extensively coaches organizations, keynotes corporate leadership events, and conducts executive education in the areas of digital business models, digital transformation and technology product management.

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

The candidate will assist the faculty in their ongoing research work which includes reviewing and assimilating key research ideas in an area, literature reviews, acquiring and analysing large high-frequency data sets and interpreting and presenting such analyses. The position is best suited for a candidate with an interest in pursuing a PhD in leading business schools worldwide.

You should consider yourself a good fit for this position if you are an experienced, highly motivated professional with a very good under-graduate or graduate academic record, and significant experience in analytics of large datasets using leading edge methods. The ideal candidate should be able to demonstrate broad knowledge of core NLP tasks, like tagging, syntactic and semantic parsing, named entity recognition, user intent understanding algorithms etc. Implementation experience and programming skills will also be given weight. The position presupposes a graduate degree or equivalent in Natural Language Processing or in Computer Science with a clearly NLP-based thesis.

Required Qualifications and Skills

• Masters or higher in data mining or machine learning; or equivalently, bachelor s degree in Computer Science/ Statistics/ Mathematics with at least 2 years experience with Machine Learning, NLP, Document Classification, Topic Modelling, and Information Extraction with a proven track record of applying them to real problems and real data
• Experience working with big data systems, concepts, and tools.
• Strong team player with cross-functional skills
• Experience with noisy and/or unstructured textual data
• Strong coding proficiency in Python, R and SQL
• Knowledge of various text mining algorithms and their use-cases as well as text pre-processing and normalization techniques. The candidate should be able to design, implement, and evaluate NLP and LLM-based workflows.
• Excellent problem-solving skills
• Strong verbal and written communication skills
• Exposure to economic problems and econometric techniques desirable
• Motivation to learn and strong work ethic

Our Commitment Towards you

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

Indian School of Business

Timings : Monday- Friday, 08:00 AM IST to 06:00 PM IST

Sector 81, SAS Nagar ,Mohali - 140 306

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.