Research Associate position under Professor Vandith Pamuru

About the Role

• Research Associate position under Professor Vandith Pamuru at the ISB Centre for Business Innovation.
• Location: Hyderabad
• Faculty Name: Professor Vandith Pamuru
• Academic Area: Information Systems
• Start Date: At the earliest
• Duration: N/A

Research Summary of the Faculty Professor

Professor Vandith Pamuru's research focuses on digital platforms, online advertising, social networks, and the societal impact of technology. This project aims to understand how online advertisements function using large-scale data from a major social network platform.

Key Responsibilities

• Assist in ongoing research related to online advertisements, social networks, and digital platforms.
• Extract data through APIs and manage large-scale datasets.
• Perform data preprocessing, cleaning, validation, and database management.
• Analyze large, distributed datasets (tens of terabytes) in cloud environments.
• Apply data science, machine learning, natural language processing (NLP), and social network analysis techniques.
• Conduct exploratory data analysis, statistical analysis, visualization, and reporting.
• Review academic literature, summarize findings, and contribute to research documentation.
• Collaborate with faculty on research projects and ensure timely completion of assigned tasks.

Requirements & Tech Stack

• Strong programming skills in Python (preferred) and/or R.
• Experience working with APIs and data extraction pipelines.
• Good understanding of cloud computing environments and distributed systems.
• Experience handling large-scale datasets and big-data workflows.
• Strong mathematical, statistical, and analytical skills.
• Knowledge of machine learning techniques and data science workflows.
• Exposure to natural language processing and social network analysis is desirable.
• Excellent verbal and written communication skills.
• High attention to detail, ability to multitask, and commitment to quality work.
• Ability to work diligently on repetitive but critical project tasks.
• Strong motivation to pursue research and/or a future PhD.

Qualifications

• Strong academic background in Computer Science, Information Systems, Statistics, Data Science, or related disciplines.
• Bachelor’s or Master’s degree from a reputed institution with strong academic performance.
• Prior research or industry experience is preferred but not mandatory.