The Norton Labs Graduate Fellowship
(formerly known as the Symantec Research Labs Fellowship)
Norton Labs’ research on cyber safety influences future technology and impacts the consumer cybersecurity industry worldwide. Norton Labs is part of NortonLifeLock, a global leader in consumer cyber safety.
The selection process for the 2022 Norton Labs Graduate Fellowship program has come to a close. We thank all those who applied, and are pleased to announce our 2022 winners, who are listed below. We plan to accept applications for the 2023 Fellowship in the Fall of 2022.
Fellowships will be bestowed on exceptional Ph.D. students who meet the eligibility criteria listed below. Our program aims to fund innovative research that has real-world value and 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: Achieving 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: Robustness, interpretability, security, privacy, and accountability of machine learning systems. This includes scalable machine learning methods for graph and time-series analyses, anomaly detection, natural language processing, 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 notifications for privacy, security, and identity theft, and both human-assisted AI and AI-assisted humans.