Generative AI Trust, Senior Researcher, Physical AI Security

Generative AI Trust – Senior Researcher – Physical AI Security

Tel-Aviv (IL)

Are you someone who thrives on exploring new ideas and turning research into real innovation? Do you enjoy collaborating with dedicated colleagues to deliver truly human-centric solutions? Are you excited by the challenge of advancing Generative AI and AI agents while addressing their security and trust at the forefront of innovation? If so, this is your chance to shape the future and make your mark.

At Fujitsu Research of Europe (FRE), we bring together research excellence and industrial innovation to drive meaningful change for businesses and society. FRE is a multidisciplinary, research-focused center within Fujitsu’s global R&D ecosystem, conducting pioneering work in areas such as Generative AI Trust, Network and Data Security, Smart Cities, Space, and more.

We are now looking for a Senior Researcher to join our global Generative AI Trust group within the Security Science Research Lab.

Join Us

Your role

As a Researcher in our Generative AI Trust Group, you'll play a key role in pioneering the world’s first physical-AI holistic vulnerability scanner. The role would entail integrating real sensors, simulation, and evaluation pipelines for calibrated sim-to-real experiments. The experiments would focus is on sensing benches, ROS-based data capture/replay, sensor calibration, and stress-tests.

What you will own

• Help construct a sensing bench
• Integrate robot and sensors into ROS 2
• Build reliable logging, replay, and synchronization pipelines
• Support calibration workflows for intrinsics, extrinsics, and timing
• Help set up and maintain simple simulation scenarios matching real-world experiments
• Help automate experiment execution and result collection
• Produce reproducible configs, launch files, and test harnesses

Responsibilities

• Sensor driver integration and ROS 2 interfaces
• Capture, replay, and dataset organization
• Extrinsic validation, timestamp checks
• Simple simulator setup for matched real/sim scenarios
• Basic experiment scripting and regression tests
• Failure debugging at the sensor, replay, and config layers
• Documentation that makes the setup repeatable by others

Required background

• MSc in mechanical engineering, electrical engineering, or similar
• Real hands-on experience with ROS or ROS 2 on physical hardware
• Experience integrating at least one of: LiDAR, RGB/RGB-D camera, radar, IMU
• Comfort with Python and enough C++ to work in robotics tooling
• Familiarity with calibration, coordinate frames, and time synchronization
• Experience with Gazebo / Isaac / MuJoCo or similar simulation – advantage
• Strong debugging habits and tolerance for messy
• Excellent oral and written communication skills in English and Hebrew.
• Good research track record and publications in top-tier conferences and journals.
• Experience in offensive cybersecurity, particularly in AI security, vulnerability assessment, and ethical hacking (advantage).