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 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