🎓 Ph.D. Admission Open – Applications of Machine Learning in Next Generation Communication Networks 🌐📡 Are you ready to push the boundaries of Wireless Communication and Machine Learning ? We are inviting applications for Ph.D. positions in the Broad Area : Next Generation Communication Networks at **Shri Mata Vaishno Devi University (SMVDU)*. 🔬 Specialization Areas : 📶 Application of Machine Learning in Wireless Networks 🤖 Integrated Sensing and Computing 🚀 Why It Matters : Machine Learning is revolutionizing the wireless landscape — enabling ultra-reliable low-latency communication (URLLC) , adaptive beamforming , intelligent resource allocation , spectrum prediction , mobility-aware handoffs , and proactive network optimization for 5G, 6G , and beyond . This is your chance to work on problems that shape the future of connected intelligence — from autonomous vehicles to smart cities , tactile internet , and immersive XR experiences . ✨ Highlights : 💰 ₹25,000–₹28,000 Monthly Stipend 📚 ₹25,000 Annual Research Grant 🧪 Cutting-Edge Research Labs 🌐 Digital Library & Top-Tier Journals 💡 Focus on Research & Innovation 🤝 Industry Collaboration Opportunities 📌 Eligibility : Master’s Degree (1-year after a 4-year Bachelor's OR 2-year after a 3-year Bachelor's) with ≥55% marks OR 4-Year Bachelor's Degree with ≥75% marks 5% relaxation for SC/ST/OBC-NCL/PwD/EWS candidates 🧾 Selection Procedure : Written Test ➡️ Interview of shortlisted candidates Exemption from Written Test for candidates with: UGC-NET/JRF CSIR-NET/JRF GATE / SLET / DST-Inspire / Similar National Level Fellowships M.Phil. degree 💸 Financial Assistance : ₹25,000/month + Contingency For both GATE/NET qualified and Non-NET/GATE (selected via SMVDU test) candidates as per university norms 💳 Application Fee : ₹1500/- (Online Payment) 📅 Last Date to Apply : 15 June 2025 🔗 Apply Here : https://admission.smvdu.ac.in 🔍 Visit: www.smvdu.ac.in for more details 📨 Contact : Dr. Shashi Bhushan Kotwal Associate Professor, SMVDU 📧 sb.kotwal@smvdu.ac.in Join a vibrant research ecosystem and contribute to transformative research in 5G, 6G, AI-Driven Networks , and beyond! Show more Show less