PhD in Foundation Models for Automotive Imaging Radar

Delft; Netherlands; Remote; EUR 38,000 - 49,000; Full time

Benefits offered by this job

Customisable compensation package

Discounts on health insurance

Monthly work costs contribution

Job summary

TU Delft’s Intelligent Vehicles group seeks a PhD candidate to investigate foundation models for automotive imaging radar. You will learn general radar representations from largely unlabeled data and adapt them across perception tasks with limited labels.

You will work with real automotive sensor data, collaborate with Perciv.AI and NXP, and publish results in leading ML/vision venues. The role is hosted within the TU Delft Graduate School and the ME faculty.

Qualifications

• MSc degree in Computer Science, AI, Robotics, Electrical Engineering, or a closely related field.
• Strong academic record and solid background in machine learning and deep learning.
• Ability to develop, understand, and critically evaluate ML software, preferably using Python and PyTorch.

Responsibilities

• Investigate foundation models for automotive radar and learn general radar representations from largely unlabelled data.
• Adapt representations to multiple downstream perception tasks with limited labelled data.
• Collaborate with TU Delft researchers and industrial partners (Perciv.AI, NXP) and publish findings.

Skills

Machine learning

Python

PyTorch

Foundation models

Independent work

English proficiency

Radar/Signal processing

Team collaboration

Strong academic record

Education

MSc in Computer Science/AI/Robotics/EE

Tools

Python

PyTorch

Job description

TU Delft’s Intelligent Vehicles group seeks a PhD candidate to investigate foundation models for automotive imaging radar. You will learn general radar representations from largely unlabeled data and adapt them across perception tasks with limited labels.

You will work with real automotive sensor data, collaborate with Perciv.AI and NXP, and publish results in leading ML/vision venues. The role is hosted within the TU Delft Graduate School and the ME faculty.