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AI & Deep Learning Intern

Role overview

Qualifications

  • 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 and general deep learning concepts
  • Strong analytical and problem-solving skills with a keen eye for detail

Responsibilities

  • Investigate state-of-the-art techniques relevant to chosen research track
  • Adapt and implement deep learning strategies into existing Python/PyTorch frameworks
  • Develop metrics and evaluate the quality of uncertainty estimates or classification accuracy
  • Investigate how research improves downstream radar tasks, such as risk-aware decision-making or real-time drone detection

Key facts

  • Remote from: Netherlands
  • Internships
  • Entry-level / graduate
  • English

Other skills

  • Analytical Skills
  • Problem Solving
  • Communication
  • Detail Oriented
  • Physical Flexibility

About the company

Robin Radar Systems logo

Robin Radar Systems

Defense Technology

We are Robin Radar Systems. Netherlands-based technology leader in radar systems for tracking and classification of small targets. We do that by combining affordable sensors with smart software. Our mission is to provide actionable information that increases safety for both humans and wildlife. Bird Strike Prevention in Aviation We developed bird radar systems to monitor and store bird movements around the clock up, to 10 kilometres, all around. The information is dispatched real time onto tablets in Bird Control Vehicles as well as logged for analysis afterwards. This significantly enhances awareness and provides management information about trends, new hotspots and the overall effectiveness in terms of objective KPI’s. Bird Monitoring in Wind Farms In a growing amount of cases, a permit to build a wind farm is given under the pre-condition that bird movements are monitored 24/7 during pre and post construction of the park. Then, a bird radar becomes a permanent part of the wind farms’ infrastructure. In some cases a ‘start-stop-mechanism’ is required: the Robin system monitors bird movements in real time, and is able to automatically shut down individual turbines to mitigate mortality. Drone Detection in Critical Environments Small Unmanned Arial Vehicles (UAV’s) or ‘drones’ pose a lot of new opportunities, but they also bring severe safety and security threats. Demand for high-performing drone detection and intervention methods continues to increase. Our purpose-built drone detection radars, ELVIRA® and IRIS® can automatically distinguish birds from drones. These systems are sold via larger system integrators in the defense & security industry.

Company details

IndustryDefense Technology
Company size51 - 200

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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?

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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