Vacancies

Core Description:
Join our cutting-edge research and development team as a research intern and immerse yourself in the world of virtual humans! This internship offers a unique opportunity to gain hands-on and research experience in the rapidly evolving, multidisciplinary field of real human – virtual human interaction and contribute to the creation and experimentation with virtual humans. This is a relatively flexible opportunity which can be co-shaped with the student and can be a thesis assignment.

Core Description:
Join our cutting-edge research and development team as an intern and immerse yourself in the world of virtual humans! As a Virtual Humans Development Intern, you will contribute to Cradle’s ambitious projects around emotional, expressive virtual humans. Experience or familiarity with Unreal Engine (ideally UE 5) is required.

Core Description:
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.

Core Description:
This internship project addresses the critical challenge of enabling autonomous robots to safely navigate indoor environments shared with humans. As robots increasingly enter workplaces, hospitals, and public spaces, their ability to move efficiently while ensuring human safety becomes paramount. The intern will develop and evaluate navigation algorithms that integrate real-time perception, path planning, and human-aware decision-making for indoor mobile robots.

Core Description:
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.

Core Description:
This internship project addresses the critical challenge of enabling autonomous robots to safely navigate indoor environments shared with humans. As robots increasingly enter workplaces, hospitals, and public spaces, their ability to move efficiently while ensuring human safety becomes paramount. The intern will develop and evaluate navigation algorithms that integrate real-time perception, path planning, and human-aware decision-making for indoor mobile robots.