company

AI & Deep Learning Internship

robin-radarThe Hague
Hybrid Full-time

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Experience Level

Entry Level

Qualifications

Currently enrolled in a master’s degree program in AI, Computer Science, Physics, or a related technical discipline. Demonstrable proficiency in Python and hands-on experience with deep learning frameworks, particularly PyTorch. In-depth understanding of neural network architectures (e.g., ResNet) and foundational deep learning principles. Strong analytical capabilities and problem-solving aptitude with exceptional attention to detail. Fluent communication skills in English, both written and verbal. Adaptable and self-motivated, eager to thrive in a hybrid work environment.

About the job

Join the dynamic realm of radar technology where your deep learning insights will revolutionize our ability to identify and monitor drones and birds in real-time!

As an AI & Deep Learning Intern at robind-radar, you'll dive into pioneering radar tracking and classification research. Collaborating closely with our AI team, you'll play a crucial role in developing advanced radar systems. Your responsibilities will encompass a comprehensive research track that spans literature review, implementation, and evaluation, positioning you as a key contributor to our AI initiatives.

Key Responsibilities

  • Explore cutting-edge techniques pertinent to your research focus, including Uncertainty Quantification, Temporal Aggregation, Architectural Adaptation, and Radar Track Clustering.

  • Modify and deploy deep learning methodologies within our established Python/PyTorch frameworks.

  • Create evaluation metrics and assess the precision of uncertainty estimations or classification outcomes.

  • Examine how your findings enhance downstream radar functionalities, such as risk-aware decision-making or instantaneous drone detection.

  • Produce a comprehensive software framework documentation and a comparative analysis of methodologies.

Qualifications

  • Currently enrolled in a master’s degree program in AI, Computer Science, Physics, or a related technical discipline.

  • Demonstrable proficiency in Python and hands-on experience with deep learning frameworks, particularly PyTorch.

  • In-depth understanding of neural network architectures (e.g., ResNet) and foundational deep learning principles.

  • Strong analytical capabilities and problem-solving aptitude with exceptional attention to detail.

  • Fluent communication skills in English, both written and verbal.

  • Adaptable and self-motivated, eager to thrive in a hybrid work environment.

N. B. We understand that this is an extensive list and candidates possess varying degrees of experience. We encourage you to apply even if you feel you do not meet every single requirement. Our journey is about growth, and there is much to learn!

You should resonate with our core values: We trust, We own it, & We aim high.

What We Offer

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About robin-radar

At robind-radar, we are at the forefront of radar technology innovation, dedicated to developing intelligent systems that enhance our ability to detect and track aerial objects with precision and reliability.

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