AI for Secure Authentication Systems Internship

About Internship

Associate Professor, Department of Jindal Global Business School, from O. P. Jindal Global University, is accepting interns interested in the field of Computer Science Engineering, in the research area of Artificial intelligence and Machine learning.

This internship focuses on advancing the field of AI/ML-driven identity authentication with applications in biometrics, behavioral recognition, and privacy-preserving security. Interns will: 1. Conduct literature reviews on AI/ML-based authentication frameworks. 2. Develop and optimize algorithms for biometric (fingerprint, facial, voice) and behavioral (keystroke, gait) modalities. 3. Perform data collection, annotation, preprocessing, and model evaluation. 4. Analyze system security, identify vulnerabilities, and apply adversarial robustness methods. 5. Implement explainable AI techniques to improve transparency and trust. 6. Explore decentralized privacy-preserving approaches such as federated learning. 7. Collaborate with researchers, contribute to technical reports, and present findings. 8. Propose innovative methods to enhance authentication security and user experience. Preferred Skills: 1. Strong foundation in machine learning, data science, or cybersecurity 2. Proficiency in Python and ML frameworks (TensorFlow/PyTorch) 3. Interest in biometrics, privacy, and secure computing 4. Strong analytical and communication skills