PhD: Foundation Models for Automotive Radar Perception

1000scholars; Delft; On-site; EUR 36,000 - 45,000; Full time

Job summary

1000scholars is seeking a PhD candidate to investigate foundation models for automotive imaging radar within the Intelligent Vehicles group at TU Delft, in collaboration with Perciv.AI and industrial partner NXP Semiconductors. The project combines ML research with real radar data and aims to generalize across configurations.

The position offers access to research vehicles, advanced radar prototypes and extensive computing resources, with supervision from Dariu Gavrila and Julian Kooij.

Qualifications

• MSc in CS/AI/Robotics/EE or closely related field.
• Strong ML/DL background and high academic performance.
• Ability to develop, understand, and evaluate ML research software, preferably Python and PyTorch.
• Interest in foundation models, self-supervised learning, multimodal learning, and 3D perception.
• Affinity for translating methodological research into experiments with real automotive sensor data and vehicle demonstrators.
• Ability to work independently as well as collaborate effectively within a larger research team.
• Good written and spoken English.
• Experience with radar, signal processing, computer vision, autonomous driving, or sensor fusion is advantageous.

Responsibilities

• Conduct ML research on automotive radar foundation models.
• Experiment with real multimodal radar sensor data.
• Publish results in leading ML/CV venues.
• Collaborate with TU Delft group and industrial partner Perciv.AI/NXP.
• Develop and evaluate radar representations and model frameworks.

Skills

MSc in CS/AI/Robotics/EE

ML/DL background

Python & PyTorch

Foundation models

3D perception

Independent work

Team collaboration

English proficiency

Radar/sensor fusion

Education

MSc in Computer Science / AI / Robotics / Electrical Engineering

Tools

Python

PyTorch

Job description

1000scholars is seeking a PhD candidate to investigate foundation models for automotive imaging radar within the Intelligent Vehicles group at TU Delft, in collaboration with Perciv.AI and industrial partner NXP Semiconductors. The project combines ML research with real radar data and aims to generalize across configurations.

The position offers access to research vehicles, advanced radar prototypes and extensive computing resources, with supervision from Dariu Gavrila and Julian Kooij.