PhD Position in Generative Models: A fully funded PhD position is available to explore generative models to enhance radar perception systems in vehicles through AI development. This role is part of the EU Horizon MOSAIC project and involves collaboration with NXP, focusing on improving automotive safety and autonomous driving capabilities.
PhD Position in Generative Models for Radar
Designation
PhD Candidate in Generative Models for Radar
Research Area
- Generative Models
- AI and Machine Learning (Deep Learning, Diffusion Models)
- Sensor Data Processing
- Radar Systems
Location
Delft University of Technology (TU Delft), Delft, The Netherlands
Eligibility/Qualification
Qualification Requirement | Details |
---|---|
Academic Record | Strong academic background in relevant fields |
Machine Learning Skills | Proficient in machine learning, especially generative models and deep learning |
Programming Skills | Strong programming skills in Python with knowledge of frameworks like PyTorch |
Experience | Prior knowledge in radar systems and sensor data processing is a plus |
Collaboration Skills | Ability to work independently and in a team; mentoring capabilities |
Language Proficiency | Good command of English |
Description
The PhD project aims to develop AI models that can generate high-resolution radar data from various inputs, including cameras and LiDAR. The successful candidate will integrate these models into real-time radar processing algorithms, contributing significantly to the fields of autonomous driving and safety-critical applications. The position offers a collaborative research environment with access to advanced computing resources including TU Delft’s supercomputers.
How to Apply
Interested candidates should apply online by submitting the following documents:
- Curriculum Vitae (CV)
- Cover Letter
- Relevant academic records
Applications must be submitted via the provided application button on the TU Delft vacancies website as applications sent by email or post will not be considered.
Last Date to Apply
April 13, 2025
For more information, please contact:
Dr. Holger Caesar
Email: h.caesar@tudelft.nl