JRF in Computer Science

1. About the ISI JRF in Computer Science

The Indian Statistical Institute (ISI) offers Junior Research Fellowships (JRFs) in Computer Science, attracting candidates interested in research in theoretical computer science, algorithms, artificial intelligence, data science, and emerging computational fields.Applicants generally:

Hold a Master’s degree in Computer Science, Mathematics, Statistics, or related fields.
Must qualify through a highly competitive written examination followed by a research proposal presentation and interview.
Compete for very limited fellowship seats, requiring rigorous, research-oriented preparation.

The selection process emphasizes:

Foundations of Computer Science (Theory of Computation, Data Structures, and Algorithms).
Mathematical and Statistical tools for computing.
Research aptitude and proposal presentation skills.

2. What Our Course Includes

Interactive Live Classes

Available in online (Zoom/Skype) and offline (Kolkata & New Delhi centres) formats.
Detailed coverage of:
- Algorithms & Data Structures (complexity, design, graph theory)
- Theory of Computation (Automata, Turing Machines, Formal Languages)
- Programming & System Design (C/C++, Python, Object-Oriented concepts)
- Database Management & Data Mining
- Artificial Intelligence & Machine Learning basics
- Probability, Statistics, and Optimization techniques for Computer Science
- Research methodology and proposal writing techniques
All lectures are recorded, so students can review at their convenience.

Research-Oriented Training

Deep-dive lectures combining theoretical concepts with real-world and research applications.
Weekly assignments and quizzes for progressive skill-building.
Dedicated sessions for research proposal drafting, coding for research, and ISI interview strategies.

Mock Test Series

Full-length ISI-style mock exams covering both theory and coding/problem-solving components.
Detailed solutions and personalized performance reviews.
Mock interviews to simulate the ISI fellowship selection process.

Past-Year Papers & Practice

Step-by-step solved solutions for previous ISI Computer Science fellowship exams.
Additional problem sets on algorithm design, formal methods, and research-level computing problems.

Free Study Materials

Notes compiled from top global references, ISI sources, and advanced computer science texts.
Includes theory summaries, fully solved examples, coding practice, and research tools.
All materials provided free to enrolled students.

24×7 Doubt Support

Direct help via WhatsApp, email, or phone.
One-to-one mentorship sessions for tough coding, math, or research topics.

3. What We Cover (Syllabus Highlights)

Algorithms & Data Structures – Complexity analysis, Dynamic programming, Graph algorithms.
Theory of Computation – Automata theory, Formal languages, Turing machines.
Programming & Databases – OOP (C++/Java), SQL, Data mining fundamentals.
AI & Machine Learning – Supervised/unsupervised learning, Optimization, Neural networks (basics).
Mathematical Tools for CS – Probability, Linear Algebra, Optimization, Numerical methods.
Research Methodology – Proposal writing, literature survey, and research presentation.

4. Mode of Classes

Online – Interactive live sessions with full video backups.
Offline – Classroom programs at Kolkata & New Delhi centres.
Both modes include identical teaching, mock tests, and research-focused training.

5. Why Choose Dr. Sourav Sir’s Classes?

Faculty with research and industry experience in advanced Computer Science and data science.
Regular mock tests and feedback-driven assessments for measurable progress.
Specialized research proposal and ISI interview preparation.
Free, premium-quality notes and past paper solutions.
Strong track record of students securing ISI JRF fellowships each year.