ML / AI Researcher (Volunteer)

We are seeking a PhD candidate or PhD-level ML/AI Researcher to join an interdisciplinary research initiative exploring how AI can model human behavior and support decision-making in organizational contexts.


This is a part-time, volunteer research collaboration suitable for someone who wants to strengthen their academic portfolio, gain applied experience with behavioral datasets, or contribute to early-stage scientific innovation.


What you will work on


  • Develop predictive and generative AI models that simulate human decision-making patterns
  • Create specific AI components that represent human behavior in structured, learnable ways
  • Apply unsupervised learning (clustering, archetypes, embeddings) to identify behavioral segments
  • Support simulation experiments and evaluate intervention effects on digital human models
  • Perform model evaluation, calibration, drift detection, and robustness testing
  • Collaborate with behavioral scientists to translate psychological constructs into model features
  • Contribute to research publications and technical reports


Required background


Must have:

  • PhD or PhD candidate in Machine Learning, AI, Data Science, Computer Science, Statistics, Applied Math, or a related field
  • Strong proficiency in Python
  • Hands-on experience with ML/deep learning frameworks (PyTorch, TensorFlow, or similar)
  • Solid understanding of model development, feature engineering, and evaluation
  • Ability to work independently in a research-driven environment


Nice to have (optional):

  • Experience with behavioral, psychological, organizational, or user datasets
  • Familiarity with representation learning, sequence models, or generative modeling
  • Interest in decision-making, cognitive modeling, or behavioral science
  • Previous involvement in research publications


What we offer


  • Opportunity to work on cutting-edge AI + behavioral science research
  • Potential for co-authorship on publications
  • Close collaboration with behavioral scientists and decision theorists
  • A flexible, remote-friendly structure that fits around your academic work
  • Ability to help shape early behavioral modeling and decision-simulation tools


Time commitment


  • Up to ~5 hours per week
  • Flexible schedule
  • Suggested minimum engagement: long enough to contribute meaningfully toward a shared research output (e.g., several months)


How to apply / collaborate


Please email: [email protected]

Include:

  • A short introduction
  • Your CV
  • LinkedIn link