Hungary (Hybrid)
We're looking for a creative and driven Security Researcher to join our diverse and collaborative research team. In this role, you'll help shape the future of secure, AI-powered platforms that connect the physical and virtual worlds — from robotics and digital twins to immersive enterprise systems.
You'll contribute to the design, testing, and advancement of security for large-scale, spatially aware AI systems, including cloud robotics, interactive simulations, and metaverse applications. Working alongside a multidisciplinary team of AI/ML researchers, roboticists, and cloud engineers, you'll play a key role in anticipating and addressing emerging threats across both simulated and real-world environments.
We welcome applicants from all backgrounds and experiences who are excited about working at the intersection of security, AI, and physical systems.
HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN
What You’ll Do
- Explore and advance security research related to large world models (LWMs) used in simulations, digital twins, and AI-driven autonomous systems.
- Identify and model potential threats and adversarial behaviors affecting agents, environments, and immersive simulations.
- Build tools and techniques to detect and mitigate challenges such as adversarial attacks, model manipulation, and sensor spoofing in both real-world and synthetic settings.
- Design resilient data pipelines and implement safeguards throughout the model lifecycle — from training data and parameters to inference outputs.
- Contribute to the development of secure communication and coordination protocols for multi-agent systems, cloud-robotic interactions, and virtual presence technologies.
- Partner closely with cross-functional teams to integrate research insights into secure-by-design features for spatial computing and immersive enterprise platforms.
- Share your work through high-impact publications and presentations at leading conferences such as IEEE S&P, NDSS, CCS, USENIX Security, NeurIPS, or ICRA.
KEY SKILLS AND EXPERIENCE
- 3+ years of experience in security research or engineering, preferably in AI or cyber-physical systems.
- Strong background in computer security, adversarial machine learning, or AI/robotics safety.
- Proficiency in Python, C++, or Rust.
- Deep understanding of simulation environments, digital twins, or robotic middleware (ROS, Omniverse, Unity).
- Familiarity with security analysis tools (e.g., fuzzers, static analyzers, penetration frameworks).
Preferred Qualifications
- You hold or you are in advanced stage of acquiring a PhD degree in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on security, AI, or distributed systems.
- Experience securing AI/ML pipelines, spatial computing systems, or AR/VR environments.
- Knowledge of secure communication (TLS, DTLS, MPC), privacy techniques (differential privacy, federated learning), or zero trust architectures.
- Demonstrated track record of peer-reviewed research or public security contributions (e.g., CVEs, open-source tools, red team reports).
Bonus Tools & Stack You Might Touch
- Simulation: Gazebo, Isaac Sim, Unity, Omniverse
- ML/AI: PyTorch, TensorFlow, HuggingFace Transformers, OpenAI Gym
- Security: Burp Suite, Wireshark, Metasploit, Adversarial Robustness Toolbox (ART)
- Cloud: Kubernetes, ROSBridge, WebRTC, Edge devices
About Us
Come create the technology that helps the world act together
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:
- One of the World’s Most Ethical Companies by Ethisphere
- Gender-Equality Index by Bloomberg
- Workplace Pride Global Benchmark
At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.
Join us and be part of a company where you will feel included and empowered to succeed.
About the Team
Nokia Bell Labs is the world-renowned research arm of Nokia, having invented many of the foundational technologies that underpin information and communications networks and all digital devices and systems. This research has produced nine
Nobel Prizes, five Turing Awards and numerous other awards.
Apply Now
Job Info
- Job Category Pure Research
- Posting Date 05/30/2025, 01:55 PM
- Locations Bokay Janos utca 36-42, Budapest, 1083, HU (Hybrid)
- Degree Level Doctor’s Degree (e.g PhD)
- Job Schedule Full time
- Role Type Individual contributor
- Job Identification 21246
- © MapTiler © OpenStreetMap contributors © Oracle CorporationTermsLegal Notices
- Use control and scroll to zoom the map
- Use two fingers to move the map
- Bokay Janos utca 36-42, Budapest, 1083, HU
- Copy to Clipboard
Similar Jobs
- Researcher – Security and Safety in Spatial Computing
- Hungary Posted on 05/30/2025
- We’re looking for a curious and hands-on researcher to help shape the future of secure, intelligent buildings and workplaces. In this role, you’ll design and test new ways to keep smart office environments safe — places where devices, people, and autonomous systems (like mobile robots) interact every day.
We use cookies & similar technologies Learn more
Read Full Description