Ph.D. Student in Computational Social Neuroscience & Brain Hyperscanning Full-time NEW

I am looking for a motivated Ph.D. student to join my lab at the Department of Psychology, Ariel University (in collaboration with computational and engineering partners).

This position is part of an innovative research project focused on brain hyperscanning—simultaneous neural recording from interacting individuals—and the application of computational methods such as graph theory and machine learning to understand social interaction and mental processes.

The Project Focuses On:

• Computational Social Neuroscience: Studying brain-to-brain dynamics during real-time interaction

• Graph Theory: Modeling inter-brain connectivity and network organization

• Machine Learning: Identifying patterns and predictive markers from hyperscanning data

• Brain Hyperscanning (EEG/fNIRS): Neural synchrony and interpersonal coordination

Who are we looking for?

• Background in: Psychology, Neuroscience, Computer Science, Data Science, Biomedical Engineering, or related fields

Technical Orientation:

• Computational applicants: interest in brain and behavior

• Neuro/Psych applicants: strong programming skills (Python preferred)

Experience with one or more of the following is an advantage:

• Machine Learning / Deep Learning

• Signal processing (EEG/fNIRS)

• Network analysis / Graph theory

• Strong motivation to work in an interdisciplinary environment

What we offer:

• Training at the intersection of neuroscience and AI

• Access to unique hyperscanning datasets

• Collaboration across psychology, neuroscience, and computer science

• Opportunities for publications and conference presentations

To Apply:

• A brief Cover Letter

• CV (including publications, if applicable)

• Contact information for 2–3 referees

Positions are open until filled.

Tagged as: Computer Science, Data Science