PhD Position F/M Understanding Collective Learning with Data

Mission confiée

This PhD project will investigate how people understand and learn from data in shared contexts. While most research focuses on individuals, real-world data use typically involves experiencing information collectively, interacting with others. The project will analyze how social settings affect comprehension, engagement, and decision-making with visualizations. Combining perspectives from psychology and human-computer interaction, the research project will examine both traditional and novel forms of data representation, including interactive and physical systems. The goal is to better understand the cognitive and social processes involved in collective data use in order to inform the design of visualization tools that support more effective group understanding.

Principales activités

The PhD student will be expected to:

• Conduct comprehensive literature reviews to identify research gaps and inform study design.
• Design, implement, and evaluate user studies and controlled experiments.
• Collect, process, and analyze quantitative and qualitative research data.
• Develop and validate experimental methodologies and evaluation protocols.
• Compare and assess different approaches through empirical analysis.
• Interpret findings and derive evidence-based conclusions.
• Write and publish research articles in peer-reviewed conferences and journals.
• Present research findings at academic venues and seminars.
• Collaborate with researchers on study design, experimentation, and publications.
• Contribute to the broader research community through reproducible scientific practices and dissemination of results.

Compétences

We seek candidates from computer science or cognitive science who are eager to bridge both fields, with strong English skills and interest in areas like human-computer interaction, visualization, and experimental methods. Applicants should also be capable of programming to build experimental or interactive systems and committed to open science practices.

Avantages

• Subsidized meals
• Partial reimbursement of public transport costs
• Possibility of teleworking and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Rémunération

2300€ / month (before taxs)