AI & Deep Learning Intern

robin-radar; Netherlands; Hybrid; EUR 6,700 - 10,000; Full time

Benefits offered by this job

Commuting allowance

High quality equipment

Work from home option

Internship stipend €500/€750 per month

Great Place to Work certification

International team of 30+ nationalites

Job summary

Robin is expanding its AI team and seeks an AI & Deep Learning Intern to advance radar tracking and classification research in real time. You will own a high-impact research track, from literature review through implementation and evaluation, within our hybrid work setup in the Netherlands.

You will adapt deep learning methods in Python/PyTorch, develop metrics for uncertainty estimates and classification accuracy, and deliver a documented software framework along with a comparative study.

Qualifications

• Proficiency in Python and hands-on experience with deep learning frameworks, specifically PyTorch.
• Strong understanding of neural network architectures (e.g., ResNet) and general deep learning concepts.
• Excellent written and verbal communication skills in English.

Responsibilities

• Investigate state-of-the-art techniques relevant to your chosen research track (Radar Track Clustering, Contrastive Features, Input Channel Adaptation Layer, Position Estimation).
• Adapt and implement deep learning strategies into our existing Python/PyTorch frameworks.
• Develop metrics and evaluate the quality of uncertainty estimates or classification accuracy.
• Investigate how your research improves downstream radar tasks, such as risk-aware decision-making or real-time drone detection.
• Deliver a documented software framework and a comparative study of methods.

Skills

Python

PyTorch

ResNet

Deep learning concepts

Education

MSc in AI/Computer Science/Physics

Job description

Step into the fast-growing world of radar technology - where your deep learning research directly shapes how we detect and track drones and birds in real time! As an AI & Deep Learning Intern, you will immerse yourself in cutting-edge radar tracking and classification research, working alongside our AI team to help build the next generation of intelligent radar systems. You will take ownership of a high-impact research track, from literature review through to implementation and evaluation. This role is part of the AI team.

Responsibilities

• Investigate state-of-the-art techniques relevant to your chosen research track, which may include Radar Track Clustering, Contrastive Features, Input Channel Adaptation Layer, or Position Estimation.
• Adapt and implement deep learning strategies into our existing Python/PyTorch frameworks.
• Develop metrics and evaluate the quality of uncertainty estimates or classification accuracy.
• Investigate how your research improves downstream radar tasks, such as risk-aware decision-making or real-time drone detection.
• Deliver a documented software framework and a comparative study of methods.

Requirements

• Currently enrolled in an educational institution, preferably pursuing an MSc in AI, Computer Science, Physics, or a related technical field.
• Proficiency in Python and hands‑on experience with deep learning frameworks, specifically PyTorch.
• Strong understanding of neural network architectures (e.g., ResNet) and general deep learning concepts.
• Strong analytical and problem‑solving skills with a keen eye for detail.
• Excellent written and verbal communication skills in English.
• Flexible and self‑driven, comfortable working in a hybrid environment.

N.B. All applicants, we realize that this is quite the list and people come with various levels of experience. Don't be afraid to apply even if you feel you don't meet every desired skill. Our mission is a journey and there's plenty to learn on the way!

But of course, you should identify with our core values: We trust, We own it & We aim high.

What's in for you

• Working for a Great Place to Work® certified company;
• Opportunities to develop your skills even further through training and certifications;
• Commuting allowance (if travel card not provided by the university);
• High quality laptop/desktop, monitor, noise canceling headphones, and any other equipment necessary for your role;
• The option to work from home for focused time.
• An internship allowance of €500 (for HBO/MBO) and €750 (for University) per month
• An international team of 30+ nationalities, full of high performance colleagues you can exchange experiences with and learn from. As well as having a lot of fun in our social events and Friday drinks!

Robin is a technology leader in tracking and classification of small objects. Our mission is to increase the safety of people and wildlife by preventing bird strikes in aviation, reducing the environmental impact of wind farms, and protecting humans and critical infrastructure against drones. We achieve this by combining purpose‑built radars with unique software algorithms. This powerful combination allows us to provide actionable information that empowers users to prevent serious incidents.

We're growing. Fast. In fact, we are one of the top 10 fastest‑growing companies in the Netherlands. But despite this growth, we stay true to our core values of trust, ownership and aiming high. At Robin, you don't join just a team. You join a collective of bright minds driven by the belief that 'doing things better' is a continuous challenge.

Want to work on next-level radar tech, solve real problems, and never have to pretend your job has meaning? You'll fit right in, we're saving you a seat.