Computer Science
[Open soon]
Work description
Under the guidance of the scientific coordinator, the fellow must: 1. Define a conceptual model of HCAI, identifying entities (human, system, decision, feedback) and their relationships 2. Represent the model using diagrams, a lightweight ontology, or a structured framework 3. Structure a taxonomy of HCAI practices, organized by levels (design, interaction, validation, learning) 4. Define key dimensions of the taxonomy (transparency, control, trust, ethics) and align them with use cases 5. Develop a functional prototype, including a simple interface and a pipeline with Human-in-the-Loop 6. Integration of a basic explainability (XAI) module into the prototype, aligned with the proposed architecture 7. Conducting exploratory testing and qualitative evaluation, focused on usability and the perception of human control 8. Throughout the fellowship, depending on the results, there may be opportunities to present these at conferences in the fields of HCI and Data Science.
Academic Qualifications
Master or Degree student in Computer Engineering or a related field.
Minimum profile required
- A final undergraduate GPA of 15 or higher.- A public repository on GitHub or GitLab containing a portfolio that documents and demonstrates knowledge and skills.
Preference factors
- Outstanding academic performance in subjects such as Machine Learning and Artificial Intelligence; - Demonstrated knowledge and skills in Data Science or HCI (Human-Computer Interaction) and in evaluation methodologies; - Demonstrated communication and teamwork skills.
Application Period
Since 23 Apr 2026 to 07 May 2026
[Open soon]
Centre
Human-Centered Computing and Information Science