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PHD in Electrical Engineering Computer Science at Indian Institute of Science Education and Research Bhopal
Bhopal, Madhya Pradesh
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About the Specialization
What is Electrical Engineering & Computer Science at Indian Institute of Science Education and Research Bhopal Bhopal?
This Electrical Engineering & Computer Science PhD program at IISER Bhopal focuses on cutting-edge research across diverse areas like AI, data science, communication systems, VLSI, and robotics. It equips scholars to tackle complex challenges prevalent in India''''s rapidly evolving tech landscape, fostering innovation crucial for sectors ranging from manufacturing to digital services. The program encourages interdisciplinary exploration, preparing researchers for impactful contributions.
Who Should Apply?
This program is ideal for highly motivated individuals holding a Master''''s or outstanding Bachelor''''s degree in EECS or related fields, seeking to pursue deep, original research. It attracts fresh graduates aspiring to contribute to academic and industrial R&D in India, as well as professionals aiming to transition into advanced research roles or academia. Strong analytical skills and a passion for scientific inquiry are key prerequisites.
Why Choose This Course?
Graduates of this program can expect to secure top research and development positions in leading Indian and international tech companies, government research labs, or pursue academic careers. Entry-level salaries for PhDs in India typically range from INR 10-20 LPA, with significant growth potential. The program aligns with emerging industry demands, enabling graduates to lead innovations in AI, IoT, and advanced computing sectors.
Student Success Practices
Foundation Stage
Master Core Coursework and Research Fundamentals- (Semester 1-2 (Year 1))
Diligently complete all required coursework, focusing on building strong theoretical foundations in your chosen specialization areas. Actively engage with professors and peers in research discussions. Begin exploring potential research topics and faculty mentors early in the first year to align coursework with research interests.
Tools & Resources
IISER Bhopal''''s departmental seminars, Research papers on relevant topics (e.g., IEEE Xplore, ACM Digital Library), Graduate-level textbooks
Career Connection
Solid coursework provides the necessary background for advanced research, preparing for the comprehensive examination and establishing credibility for future academic or industrial research roles.
Engage in Departmental Seminars and Colloquia- (Semester 1-2 (Year 1))
Regularly attend and actively participate in departmental seminars, colloquia, and workshops. This helps in understanding ongoing research within and beyond the department, identifying potential research gaps, and networking with faculty and visiting scholars.
Tools & Resources
Departmental seminar schedules, IISER Bhopal''''s research group meetings
Career Connection
Broadens research perspective, helps in identifying niche areas for PhD, and fosters connections that can lead to collaborations or future career opportunities.
Develop Strong Scientific Writing and Presentation Skills- (Semester 1-2 (Year 1))
Practice writing concise and impactful research proposals, literature reviews, and scientific reports. Seek feedback from mentors. Participate in mock presentations to refine public speaking skills, crucial for thesis defense and conference presentations.
Tools & Resources
Grammarly, LaTeX, University writing center resources, Peer review groups
Career Connection
Effective communication is paramount for disseminating research findings, publishing in high-impact journals, and succeeding in academic and industrial R&D positions.
Intermediate Stage
Initiate and Drive Independent Research- (Semester 3-5 (Year 2-3))
After clearing the comprehensive exam, focus intently on your chosen research problem. Develop a detailed research plan, conduct experiments, collect and analyze data. Regularly meet with your Doctoral Advisory Committee (DAC) for feedback and guidance.
Tools & Resources
Specific research software/hardware, High-performance computing resources (if applicable), Research lab facilities
Career Connection
This phase forms the core of your PhD, leading to original contributions and publications, which are vital for establishing a research profile and securing advanced positions.
Publish and Present Research at Conferences- (Semester 3-5 (Year 2-3))
Aim to publish your research findings in reputable peer-reviewed journals and present at national and international conferences. This helps in getting external validation, receiving constructive criticism, and building your academic network.
Tools & Resources
Scopus, Web of Science, Conference proceedings databases (e.g., DBLP), Funding for conference travel
Career Connection
Publications and conference presentations are crucial for academic job applications, attracting post-doctoral opportunities, and enhancing visibility in the research community.
Engage in Interdisciplinary Collaborations- (Semester 3-5 (Year 2-3))
Seek opportunities to collaborate with researchers from other departments or institutions. Interdisciplinary work often leads to novel insights and broader impact, expanding your skill set and network.
Tools & Resources
IISER Bhopal''''s interdisciplinary research centers, Networking events, Grant proposals for collaborative projects
Career Connection
Develops a versatile research profile, making you attractive to diverse employers and enabling you to tackle complex, real-world problems requiring multidisciplinary expertise.
Advanced Stage
Prepare for Thesis Submission and Defense- (Semester 6-8 (Year 3-5))
Focus on consolidating your research findings into a coherent and well-structured thesis. Work closely with your supervisor to refine content, formatting, and arguments. Practice your thesis defense presentation extensively.
Tools & Resources
Thesis writing guidelines (university specific), EndNote/Zotero for referencing, Mock viva sessions
Career Connection
A strong thesis and a confident defense are the culmination of your PhD journey, essential for degree conferment and demonstrating your expertise to potential employers.
Network Strategically for Post-PhD Opportunities- (Semester 6-8 (Year 3-5))
Actively network with academics, industry professionals, and alumni in your target fields. Attend career fairs, industry workshops, and utilize platforms like LinkedIn. Seek informational interviews to explore diverse career paths.
Tools & Resources
LinkedIn, Professional conferences and workshops, IISER Bhopal Alumni Network
Career Connection
Strategic networking is vital for discovering post-doctoral positions, research scientist roles in industry, or faculty positions, significantly boosting placement prospects.
Develop Mentorship and Leadership Qualities- (Semester 6-8 (Year 3-5))
Mentor junior PhD students, undergraduate researchers, or participate in teaching assistant roles. Take on leadership responsibilities in student organizations or departmental initiatives. This builds soft skills valuable in any professional setting.
Tools & Resources
TA training programs, Student academic clubs, Departmental committees
Career Connection
Demonstrates leadership, teamwork, and communication skills highly valued by employers and academic institutions, enhancing your profile for future leadership roles in research or management.
Program Structure and Curriculum
Eligibility:
- M.Tech./M.E./M.Sc. in Electrical Engineering/Computer Science/Electronics Engineering/Information Technology/Applied Mathematics or equivalent degree with a minimum CGPA of 6.5 out of 10 or equivalent (65% marks). OR B.Tech./B.E./B.S. in Electrical Engineering/Computer Science/Electronics Engineering/Information Technology or equivalent degree with a minimum CGPA of 8.0 out of 10 or equivalent (80% marks). Valid GATE/NET/JEST/NBHM/DST-INSPIRE qualification is also required.
Duration: Typically 4-6 years (research-intensive after initial coursework)
Credits: Minimum 16 credits of coursework (at least 8 from core courses) Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EECS 601 | Advanced Computer Architecture | Core | 3 | Pipelining, Memory Hierarchy, Multiprocessors, Interconnection Networks, Parallel Computing, Cache Coherence |
| EECS 602 | Advanced Data Structures and Algorithms | Core | 3 | Amortized Analysis, Graph Algorithms, Dynamic Programming, NP-completeness, Randomized Algorithms, Approximation Algorithms |
| EECS 603 | Advanced Computer Networks | Core | 3 | Network Protocols, Routing Algorithms, TCP/IP, Congestion Control, Wireless Networks, Network Security |
| EECS 604 | Advanced Digital Signal Processing | Core | 3 | DSP Fundamentals, Filter Design, Spectral Estimation, Adaptive Filters, Multirate DSP, Wavelets |
| EECS 605 | Advanced Control Systems | Core | 3 | State-Space Analysis, Nonlinear Control, Optimal Control, Robust Control, Adaptive Control, Sampled-Data Systems |
| EECS 606 | Advanced Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Deep Learning, Reinforcement Learning, Neural Networks, Model Evaluation |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EECS 610 | Advanced VLSI Design | Elective | 3 | CMOS Logic, Fabrication, Circuit Design, Layout, Verification, Low Power VLSI |
| EECS 611 | Internet of Things | Elective | 3 | IoT Architecture, Protocols, Sensors and Actuators, Embedded Systems, Security and Privacy, Cloud Integration |
| EECS 612 | Advanced Database Management Systems | Elective | 3 | Query Processing, Transaction Management, Distributed Databases, NoSQL, Data Warehousing, Big Data |
| EECS 613 | Image and Video Processing | Elective | 3 | Image Enhancement, Feature Extraction, Segmentation, Compression, Object Recognition, Deep Learning for Vision |
| EECS 614 | Wireless Communication | Elective | 3 | Wireless Channels, Modulation Techniques, Multiple Access Protocols, MIMO Systems, OFDM, 5G Technologies |
| EECS 615 | Advanced Digital Communication | Elective | 3 | Source Coding, Channel Coding, Modulation Techniques, Spread Spectrum, Error Control Coding, Information Theory |
| EECS 616 | Computer Vision | Elective | 3 | Image Formation, Feature Detection, Multiple View Geometry, Object Detection, Tracking, Scene Understanding |
| EECS 617 | Compiler Design | Elective | 3 | Lexical Analysis, Parsing Techniques, Semantic Analysis, Intermediate Code Generation, Code Optimization, Runtime Environments |
| EECS 618 | Optimization for Machine Learning | Elective | 3 | Convex Optimization, Gradient Descent, Stochastic Methods, Regularization Techniques, Duality, Non-convex Optimization |
| EECS 619 | Robotics | Elective | 3 | Robot Kinematics, Robot Dynamics, Path Planning, Robot Control, Sensors and Actuators, Machine Perception |
| EECS 620 | Natural Language Processing | Elective | 3 | Text Preprocessing, Language Models, Neural Networks for NLP, Sentiment Analysis, Machine Translation, Information Extraction |
| EECS 621 | High-Performance Computing | Elective | 3 | Parallel Architectures, Distributed Systems, Performance Metrics, MPI and OpenMP, GPGPU Programming, Cluster Computing |
| EECS 622 | Design and Analysis of Experiments | Elective | 3 | Experimental Design Principles, ANOVA, Regression Analysis, Factorial Designs, Hypothesis Testing, Statistical Software |
| EECS 623 | Cryptography | Elective | 3 | Symmetric-Key Cryptography, Asymmetric-Key Cryptography, Hash Functions, Digital Signatures, Blockchains, Network Security Protocols |
| EECS 624 | Biometrics | Elective | 3 | Biometric Modalities, Feature Extraction, Matching Algorithms, Performance Evaluation, Security and Privacy, Multimodal Biometrics |
| EECS 625 | Advanced Topics in Deep Learning | Elective | 3 | Advanced Architectures, Generative Models, Attention Mechanisms, Adversarial Learning, Transformers, Ethical AI in Deep Learning |
| EECS 626 | Quantum Computing | Elective | 3 | Quantum Mechanics Basics, Qubits and Quantum Gates, Quantum Algorithms (Shor''''s, Grover''''s), Quantum Cryptography, Quantum Error Correction, Quantum Hardware |
