About us

NortonLifeLock is a global leader in consumer Cyber Safety. Bringing together decades of experience in cybersecurity and identity theft protection, we are the consumer ally in today’s connected world. NortonLifeLock solutions are powered by one of the world’s largest civilian cyber intelligence networks allowing us to help protect against advanced online threats. Nearly 80 million members and customers in more than 150 countries trust us with their personal information. We’re dedicated to making it easy for them to keep their connected lives safer while helping to secure their devices, online privacy, identity, and home and family needs.

About the role:

We are hiring a PhD Post Doc/Research Scientist. As NortonLifeLock's global research organization, NortonLifeLock Research Group (NRG) is focused on driving trust and safety in an online world by creating new paradigms to enable digital security and privacy. NRG (pronounced "energy") has played a leading role in exploring many cutting-edge technologies now commercialized across NortonLifeLock's many product areas. Such technologies from the group include targeted attack protection, reputation-based security, industry-leading rootkit protection, cloud-based security services, and some of the industry's earliest behavioral protection technologies. NortonLifeLock Research Group is looking for pasionate researchers to be part of a dynamic and close-knit team.   

Opportunity and Responsibilities: 

• We are looking for applicants to work in our core research areas of digital privacy, identity, and security. We value expertise in one or more of the following areas, though we are open to a variety of research profiles that can help advance our goals:  
• Technology in support of digital identity and privacy such as distributed ledgers / blockchain, cryptography, zero-knowledge proofs, privacy-preserving algorithms, etc.  
• Machine Learning, Artificial Intelligence, and Data Science in general, including such techniques as supervised/unsupervised learning, deep learning, data mining, ML attacks and defenses, natural language processing, risk analytics, etc.  
• Practical experience analyzing and extracting insights from large data sets, dealing with incomplete and realistic elements of real-world telemetry.  
• Web security and privacy

Qualifications: 

PhD in computer science or related field strongly preferred. M.Sc. candidates with significant experience in these areas will be considered.