Internship – Algae Blooms Identification of Vulnerable Areas

Internship – Algae Blooms Identification of Vulnerable Areas (Negotiable)

Posted on December 2, 2025

Start Date: 02/02/2026

Duration: Negotiable

FTE: 1

Harmful algal blooms (HABs) represent one of the most pressing threats to aquatic ecosystems, public health, and coastal economies worldwide. 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, we will develop a web-based dashboard to view access to algae bloom intelligence. This platform will not only detect current blooms but reveal historical trends, identify vulnerable regions, and provide early warning signals through an innovative vulnerability index combining multiple risk factors.

About this job

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

We’re a small but ambitious R&D lab within the university working on cutting-edge projects in AI and links 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.

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, we will develop a web-based dashboard to view access to algae bloom intelligence. This platform will not only detect current blooms but 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.

What you will be doing

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

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

What we offer

  • Mentorship from experienced researchers and engineers
  • A collaborative environment where you’ll support and learn
  • Access to state-of-the-art facilities and equipment at BUas
  • Financial compensation

Your profile

We’re looking for someone with:

  • A background in Computer Science, Artificial Intelligence or a related technical field
  • Strong problem-solving skills and hands-on technical abilities
  • A self-starter mindset—comfort working independently and taking initiative
  • Excellent communication skills and ability to collaborate across diverse teams
  • Enthusiasm for AI, robotics, and maker culture
  • Enrolled as a student (bachelor or master level) at a university or university of applied sciences, working towards an internship or thesis assignment

Practical details

Timeline: Available from Feb 2026 onwards (start/end dates negotiable)

Location: AI Makerspace Lab, Breda University of Applied Sciences campus

Application process

Interested or do you have any questions? Please send your CV and a brief motivation letter describing why you’re excited about this opportunity to Carlos Santos (santos.c@buas.nl).