About the opportunity

AI Makerspace is looking for a hands-on, self-starting Intern to join our team!

We are a small but ambitious R&D lab within the university working on cutting-edge projects in AI and linking with other domains. We need someone like you to work on some of our projects, while being linked with the Lab.

This internship offers a unique opportunity to gain hands-on experience working with advanced equipment like autonomous vehicles, robotic arms, and computer vision systems, while also contributing to developing groundbreaking solutions with our research projects. This is a relatively flexible opportunity which can be co-shaped with the student and can be a thesis assignment.

About the BLOOM-WATCH project

Harmful algal blooms (HABs) represent one of the most pressing threats to aquatic ecosystems, public health, and coastal economies worldwide. With climate change intensifying their frequency and severity, the economic toll reaches billions annually, while monitoring covers less than 3% of affected water bodies. Current monitoring approaches are fragmented, reactive, and fail to leverage the wealth of historical satellite data that could reveal critical patterns for prevention and early warning.

BLOOM-WATCH proposes using open-source satellite observations from Copernicus Sentinel missions combined with advanced AI/ML analytics, and we will develop a web-based dashboard to view access to algae bloom intelligence. This platform will not only detect current blooms but also reveal historical trends, identify vulnerable regions, and provide early warning signals through an innovative vulnerability index combining multiple risk factors.

By developing open-source tools and methodologies, BLOOM-WATCH ensures sustainability beyond project funding, creating lasting infrastructure for continuous monitoring and adaptation to climate change impacts. The project aligns with EU priorities for water resilience, zero pollution, and digital transformation while supporting the UN Sustainable Development Goals for clean water, climate action, and life below water.

Your responsibility

Your specific responsibilities will depend on your background, experience, and interests. Examples of key tasks include:

• Hands-on development, working directly with cutting-edge technology.
• Project contribution, collaborating with multidisciplinary teams on applied AI initiatives.
• Support and contribute to the AI makerspace environment.
• Documentation, helping with document processes, workflows, and project outcomes.

What we offer

• Financial compensation.
• Support from experienced BUas researchers and engineers, providing mentorship and guidance.
• A collaborative environment where you will support and learn.
• An exciting workplace at the BUas campus with high-end hardware and software.

Qualification requirements

• You must receive ECTS for doing an internship or a thesis project as part of your study programme.
• You are enrolled in a bachelor’s or master’s programme (WO, HBO, or equivalent).
• Preferred backgrounds include, but are not limited to: Computer Science, Artificial Intelligence, or a related technical field.
• Strong problem-solving skills and hands-on technical abilities.
• A self-starter mindset – comfortable working independently and taking initiative.
• Excellent communication skills and ability to collaborate across diverse teams.
• Enthusiasm for AI, robotics, and maker culture.

Practical details

Timeline: Available from September 2026 onwards (start/end dates negotiable)
Location: AI Makerspace / Cradle Lab, Breda University of Applied Sciences campus

How to apply?

Please send your CV and a brief motivation letter describing why you are excited about this opportunity to: Carlos Santos (santos.c@buas.nl)