AI & Deep Learning Intern

Rotterdam Innovation City; Delft; Hybrid; EUR 5,600 - 8,400; Part time

Benefits offered by this job

Hybrid work environment

Internship allowance €500–€750

High-end equipment

Training & certifications

International team culture

Job summary

Robin invites you to join as an AI & Deep Learning Intern, tackling radar tracking and real-time drone and bird detection. You will own a high-impact research track from literature review to implementation and evaluation.

You'll adapt Python/PyTorch solutions, develop metrics for uncertainty estimates and classification accuracy, and document a software framework with comparative studies within our AI team.

Qualifications

• Currently enrolled in an educational institution (MSc preferred).
• Proficiency in Python and PyTorch.
• Strong understanding of neural networks and deep learning concepts.

Responsibilities

• Investigate state-of-the-art radar tracking techniques.
• Adapt and implement DL methods in Python/PyTorch.
• Develop metrics for uncertainty estimates and classification accuracy.
• Assess impact on real-time radar tasks like drone detection.
• Deliver a documented software framework and comparative study.

Skills

Python

PyTorch

Deep learning

Neural networks

Education

MSc in AI/CS/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 fast‑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.