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🛰️ BITS-RMIT Joint PhD Position (Apply Online on BITS RMIT Portal)
We are inviting applications from highly motivated students/researchers interested in working on next-generation GNSS resilience, anti-spoofing, signal processing, AI/ML and SDR-based navigation systems.
Two research opportunities are currently available:
🔹 RMIT COLLABORATIVE RESEARCH PROJECT Project ID: BITS025F001497:
Development of Machine Learning-based Jamming and Spoofing Detection for GPS and NavIC Software Receivers
Collaborating Institution: RMIT University, Australia
GNSS signals are vulnerable to jamming and spoofing, creating significant risks for navigation-dependent systems. This project aims to develop an advanced AI/ML-based GNSS threat detection and mitigation framework for GPS and NavIC.
Research will include:
🤖 Machine Learning / Deep Learning for GNSS security
🛰️ GPS and NavIC signal processing
🚨 Jamming and spoofing detection
📡 GNSS Software Defined Radio (SDR)
📶 Multi-antenna processing and Angle-of-Arrival (AoA) estimation
🧠 Generative Adversarial Networks (GANs)
⚡ Spiking Neural Networks (SNNs)
🔄 Reinforcement Learning for adaptive countermeasures
🧪 Synthetic attack generation using the Skydel GNSS simulator
📻 Analysis of real-world GNSS RF recordings
🔬 Integration and testing with an in-house GNSS software receiver developed for ISRO
📡 Testing with commercial GNSS receivers
The project will combine AI/ML algorithms with real GNSS signals, SDR platforms and software receivers, with the objective of developing a practical and real-time GNSS security framework.
International Research Collaboration
BITS Pilani, K. K. Birla Goa Campus
RMIT University, Australia
Supervisors:
Dr. Nitin Sharma
BITS Pilani, Goa Campus
📧 nitinn@goa.bits-pilani.ac.in
Dr. Du Yong Kim
RMIT University, Australia
Dr. Ke Wang
Associate Professor & Deputy Head of Department – R&I
RMIT University, Australia
🎓 Interested candidates
Students/researchers with backgrounds or interests in:
AI/ML • Signal Processing • GNSS • SDR • Wireless/Satellite Communications • RF Systems • Embedded Systems • FPGA • Navigation
Prior GNSS experience is desirable, but strong technical fundamentals and enthusiasm for research and implementation are highly valued.
📝 How to Apply
Apply Online – BITS-RMIT Research Project Application
https://bitspilaniedu.com/rmit/bitsrmitphdwebsite/ResearchProjectApply.aspx?progCode=516
serach for
Project ID: BITS025F001497
Development of Machine Learning-based Jamming and Spoofing Detection for GPS and NavIC Software Receivers
🚀 JOIN THE GNSS RESILIENCE RESEARCH PROGRAM
These projects provide an opportunity to work on real-world GNSS security problems spanning:
AI/ML → GNSS Signal Processing → SDR → Multi-Antenna Systems → CRPA → RF/Antenna Technology → Anti-Spoofing → Resilient PNT
The research has potential applications in UAVs, autonomous vehicles, aerospace and defence, critical infrastructure, telecommunications and other safety-critical navigation systems.
📍 BITS Pilani, K. K. Birla Goa Campus
🔗 Faculty information:
Dr. Nitin Sharma – BITS Pilani GNSS Signal Processing Lab
Work arrangement
No
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