Real-Time Radar AI & Deep Learning Intern

Robin Radar; Den Haag; Hybrid; EUR 5,600 - 8,400; Full time

Benefits offered by this job

Commuting allowance

Hybrid work environment

Internship allowance €500 (HBO/MBO)

Internship allowance €750 (University)

Great Place to Work® certification

Job summary

Robin Radar in the Netherlands is seeking an AI & Deep Learning Intern to advance radar tracking and classification research, from literature review through implementation and evaluation, within the AI team.

You will adapt PyTorch-based methods, build metrics, and deliver a software framework with a comparative study; hybrid work is possible, with internship stipend and learning opportunities.

Qualifications

• Pursuing MSc in AI, CS, Physics, or related field.
• Proficiency in Python and PyTorch; hands-on DL experience.

Responsibilities

• Investigate state-of-the-art radar tracking techniques for your research track.
• Adapt and implement deep learning methods into Python/PyTorch frameworks.
• Develop metrics and evaluate uncertainty estimates or classification accuracy.
• Explore how research improves downstream radar tasks like real-time drone detection.
• Deliver a documented software framework and a comparative study of methods.

Skills

Python

PyTorch

ResNet

Deep learning concepts

Analytical skills

English communication

Education

MSc in AI

MSc in Computer Science

MSc in Physics

Tools

Python

PyTorch

Job description

Robin Radar in the Netherlands is seeking an AI & Deep Learning Intern to advance radar tracking and classification research, from literature review through implementation and evaluation, within the AI team.

You will adapt PyTorch-based methods, build metrics, and deliver a software framework with a comparative study; hybrid work is possible, with internship stipend and learning opportunities.