Internship – Human-centric Ethical Intelligence Monitoring Data Access and Legal Language

Internship – Human-centric Ethical Intelligence Monitoring Data Access and Legal Language (Negotiable)

Posted on December 2, 2025

Start Date: 02/02/2026

Duration: Negotiable

FTE: 1

The exponential growth of online services has led to an overwhelming proliferation of privacy policies that users are expected to read and understand before granting consent for data processing. Research indicates that 67% of Americans understand little to nothing about what companies do with their personal data, while 56% skip reading privacy policies altogether. This consent fatigue creates a significant gap between formal compliance and actual user comprehension, potentially enabling abusive or unfair data processing practices to go unnoticed. This project proposes Heimdall, an innovative AI-powered system for automated analysis and evaluation of online service privacy policies. Unlike existing solutions that focus primarily on summarization or basic compliance checking. Heimdall will provide comprehensive, multi-dimensional analysis including GDPR compliance assessment, risk scoring, transparency evaluation, and comparative benchmarking across services.

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 HEIMDALL project

The exponential growth of online services has led to an overwhelming proliferation of privacy policies that users are expected to read and understand before granting consent for data processing.

Research indicates that 67% of Americans understand little to nothing about what companies do with their personal data, while 56% skip reading privacy policies altogether. This consent fatigue creates a significant gap between formal compliance and actual user comprehension, potentially enabling abusive or unfair data processing practices to go unnoticed.

This project proposes Heimdall, an innovative AI-powered system for automated analysis and evaluation of online service privacy policies. Unlike existing solutions that focus primarily on summarization or basic compliance checking. Heimdall will provide comprehensive, multi-dimensional analysis including GDPR compliance assessment, risk scoring, transparency evaluation, and comparative benchmarking across services.

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:

  • 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).