The NortonLifeLock Research Group Graduate Fellowship
(formerly known as the SRL Fellowship)
2020 has been a transformative year for NortonLifeLock. The NortonLifeLock Research Group (NRG) Graduate Fellowship is being redesigned. Please stay tuned for updates in the Fall of 2021, regarding the 2022 Fellowship.
Fellowships will be bestowed on one or more exceptional Ph.D. students who meet the eligibility criteria listed below. Our program aims to fund innovative research that not only has real-world value but aligns well with key areas within our business. Topics of interest include:
- Privacy and Identity: Applied and novel techniques for privacy and identity-protection objectives such as authentication, authorization, verifiable claims, trust, anonymity, ubiquitous and usable encryption, and privacy-preserving analytics.
- Security: Achieve security objectives in consumer-related contexts including operating systems, web, mobile devices, internet of things, and cloud-based services through such mechanisms as trusted hardware, secure programming languages, security by design, threat and malware characterization, and auditing and deception techniques.
- Machine Learning and Data Mining: Machine-learning systems robustness, interpretability, security, privacy, and accountability. Also, scalable ML methods, such as graph and time-series analyses, anomaly detection, natural language processing, online learning, and distributed model training, in support of the privacy/identity and security areas mentioned above.
- Human Factors: Applications of psychology, sociology, anthropology, behavioral economics, human-computer interaction, linguistics, and other human sciences to security and privacy. These include usable security, use of technology for social good, effective privacy, security, and identity theft notifications, and both human-assisted AI and AI-assisted humans.