Are you a BS/MS student enrolled in a thesis or project and eager to gain hands-on research experience in cutting-edge areas of Information Retrieval (IR), Natural Language Processing (NLP), and Conversational AI? If so, this is an excellent opportunity to collaborate with me on innovative topics that align with your academic goals and help you build a strong foundation in research.
Who Should Apply?
- Current BS/MS students enrolled at Missouri S&T and undertaking a thesis or project.
- Students looking to explore exciting topics like Neural Information Retrieval, Large Language Models (LLMs), and Conversational IR.
Why Join?
- Mentorship and Guidance: Get direct guidance on research methods, paper writing, and conducting experiments.
- Skill Development: Learn and apply advanced techniques in IR, NLP, and AI.
- Thesis/Project Support: Work on a thesis or project that contributes to impactful research.
- Build Your Profile: Enhance your academic credentials for PhD or industry positions.
Topics You Can Explore
- Neural IR Models: Understanding and improving query-document matching using deep learning.
- Large Language Models: Applications of LLMs for search, conversational agents, or question answering.
- Reinforcement Learning: Exploring RL methods to improve IR systems and dynamic decision-making.
- Entity-Centric Search: Developing systems that focus on entity relationships and attributes.
How to Apply?
To express interest, please email me at [shubham.chatterjee@mst.edu] with the following:
- Subject: “Interest in BS/MS Research Opportunity”
- A short statement about your academic background, current thesis/project, and research interests.
- A copy of your CV or resume.
Important Notes
- These positions are unpaid and intended for students seeking research experience or fulfilling academic requirements through their thesis or project.
- Students must be enrolled in a BS/MS thesis or project course to qualify.
- Collaboration is expected to be mentorship-based, with regular progress updates and discussions.