Student Assistant, Emerging Products – Research

At Milestone Systems, your work goes beyond what the human eye can see.

With our unique video technology software, you help people make wiser and more responsible decisions—in and beyond security. Whether you advance our software, explore new technologies, or help shape the next generation of AI solutions, you'll be part of a global growth company recognized across the industry.

We have a people-first approach to everything we do. Joining Milestone means becoming part of a collaborative, flexible, and international culture where innovation, curiosity, and continuous learning are encouraged every day.

The Opportunity

We're looking for a Student Assistant to join our Emerging Products – Research team at our headquarters in Brøndby, Denmark.

In this role, you'll support product-driven research and prototyping within machine learning, computer vision, video analytics, and related AI technologies. Working alongside experienced researchers and engineers, you'll gain hands-on experience with the latest AI technologies while contributing to research that helps shape the future of intelligent video systems.

This is an excellent opportunity to apply your academic knowledge to real-world challenges, build your technical skills, and contribute to innovations that may become part of future Milestone products.

What You'll Do

As a Student Assistant, you will:

• Support research activities in machine learning, computer vision, video analytics, and Responsible AI.
• Develop, test, and document prototypes, experimental pipelines, and proof-of-concept models.
• Prepare, clean, annotate, and organize datasets for research experiments while following internal data handling practices.
• Run experiments, compare results, and summarize findings in a clear and practical way.
• Review academic literature, open-source tools, and emerging technologies, translating key insights for the team.
• Prepare technical documentation, internal presentations, demos, and research summaries.
• Collaborate with researchers, engineers, and fellow students to validate new ideas and research directions.
• Contribute to a collaborative research environment where curiosity, experimentation, and knowledge sharing are encouraged.

What We're Looking For

We're looking for a curious and motivated student who enjoys solving technical challenges and learning new technologies. You thrive in collaborative environments and are eager to turn research into practical solutions.

We're excited to meet candidates who have:

• Ongoing studies in Computer Science, Engineering, Data Science, Artificial Intelligence, Robotics, Mathematics, or a related technical field.
• Good programming skills in Python.
• Familiarity with machine learning or data science frameworks such as PyTorch, TensorFlow, NumPy, pandas, OpenCV, or similar.
• An interest in machine learning, computer vision, deep learning, generative AI, video analytics, or edge/cloud AI.
• The ability to read technical documentation and research papers and communicate findings clearly.
• Experience using Git or similar version-control tools.
• Good written and spoken English.

About the Team

The Emerging Products – Research team explores future technologies for intelligent video systems, combining academic research with practical product innovation. Working at the intersection of research and product development, the team experiments with new ideas, validates emerging technologies, and helps shape the future direction of Milestone's AI-powered solutions. Collaboration, technical excellence, and knowledge sharing are at the heart of everything we do.

What We Offer

• A part-time student position in a global technology company with a strong research and innovation culture.
• Hands-on experience with machine learning, computer vision, and video analytics in a real-world setting.
• Close collaboration and mentoring from experienced researchers and engineers.
• Flexible working arrangements that support your studies.
• Opportunities to explore thesis topics related to your work.
• Professional development through knowledge sharing, feedback, and technical learning.
• A welcoming, international