Postdoctoral Researcher in Multimodal Human Sensing and Advanced Behavioral Data Analysis — EPFL

Role overview

Mission Swiss National Science Foundation (SNSF)-funded project on human motivation, stress physiology, immersive behavioral testing, and multimodal data analysis The Laboratory of Behavioral Genetics at EPFL, led by Prof.

Carmen Sandi, is seeking an outstanding postdoctoral researcher with a strong technical and quantitative profile to join a SNSF-funded project investigating human motivation and stress responsiveness.

The project will develop and validate individually calibrated behavioral tasks in immersive virtual reality (VR) to quantify effort-based motivation, vigor, persistence and goal-directed versus habitual control.

It will then test how acute stress alters these processes, combining behavioral performance, physiological monitoring, movement-based phenotyping, and advanced statistical and computational analyses.

This position is part of a broader two-position recruitment linked to the same SNSF-funded project.

The call is for the position focused on multimodal sensing, experimental systems, physiological and movement data, and advanced behavioral data analysis .

A second, complementary position will focus more specifically on clinical and implementation aspects of the project.

Although the project uses virtual reality as an experimental platform, prior VR experience is not necessarily required.

We are particularly interested in candidates with strong expertise in experimental systems, physiological sensing, signal processing, human movement analysis, computational neuroscience, biomedical engineering, data science, and/or advanced quantitative behavioral research.

In line with standard EPFL procedures, the contract is issued on a one-year basis and renewable annually , subject to satisfactory progress and institutional regulations.