PhD in Foundation Models for Automotive Imaging Radar

Laplace Expert Ltd; Delft; Remote; EUR 36,000 - 45,000; Full time

Job summary

Delft University of Technology is recruiting a PhD candidate to develop foundation models for automotive imaging radar. The project focuses on large pretrained models for radar perception, exploring transfer from vision/LiDAR, self-supervised or multimodal learning for 3D object detection and free-space understanding in automated driving.

The position is Level PhD, full-time, for four years, with monthly salary in the EUR 3204-4051 range.

Qualifications

• MSc in computer science, artificial intelligence, robotics, electrical engineering or related field.
• Strong background in machine learning or deep learning.
• Experience with foundation models, self-supervised learning or multimodal learning is advantageous.

Skills

Foundation models

Deep learning

3D perception

Multimodal learning

Radar signal processing

Education

MSc in CS/AI/Robotics/EE

Tools

PyTorch

Python

Job description

PhD in Foundation Models for Automotive Imaging Radar

Delft University of Technology · Cognitive Robotics, Intelligent Vehicles group

Netherlands

Apply by 18 Oct 2026

About This Opportunity

Delft University of Technology is recruiting a PhD candidate to develop foundation models for automotive imaging radar. Applications close on 18 October 2026 at 23:59 Europe/Amsterdam.

The project develops large pretrained models for high-resolution automotive radar perception, exploring transfer from vision and LiDAR, self-supervised or multimodal learning, 3D object detection and free-space understanding for automated driving.

• automotive radar foundation models
• deep learning
• 3D perception
• autonomous driving

Level PhD

Time Commitment Full-time

Duration 4 years

Reference Code 3888

Field Foundation Models for Automotive Imaging Radar

Specialization Artificial Intelligence & Data Science

Organization Type University

Funding & Compensation

Amount EUR 3204-4051 / Per Month

Funding Type Salary

Funding Status Paid

Period Per Month

Requirements

Education

Applicants should hold an MSc in computer science, artificial intelligence, robotics, electrical engineering or a closely related field.

Experience

A strong background in machine learning or deep learning is expected; experience with foundation models, self-supervised learning, multimodal learning, 3D perception, radar, computer vision or sensor fusion is advantageous.

Technical Skills

Foundation models

Deep learning

PyTorch

Python

3D perception

Radar signal processing

Multimodal learning