Research Assistant

Strong Python skills and experience with data manipulation

Basic machine learning knowledge (equivalent to at least an introductory course)

Experience with website development, model hosting, deep learning, LLM fine-tuning experience (e.g., with huggingface transformers and parameter-efficient methods such as LoRA/QLoRA), model evaluation experience.

Primary responsibilities include software development, coding, and data analysis.

One focus will be designing and building the web platform: an interface where researchers upload their data and get automated scores back, a system that can host and serve multiple scoring models (ours and those from other research groups), and the documentation and tutorials people need to use it.

The other focus will be on the modeling side: we will build and curate datasets, fine-tune language models to score memory content, and evaluate how closely the models' scores match expert human ratings.

Ruben van Genugten is a Research Scientist at the Institute for Experiential AI at Northeastern University. Before joining EAI, he received his Ph.D. in psychology from Harvard University in 2022. He uses machine learning and natural language processing (NLP) to study cognition, the brain, and behavior. He conducts neuroimaging experiments, develops NLP tools for the memory research community, and collaborates with clinical colleagues to study psychopathology using computational methods.