Postdoc: Multimodal AI for Adaptive VR & Stress

Maastricht University (UM); Nederland; On-site; EUR 55,000 - 75,000; Full time

Benefits offered by this job

36 months contract

Competitive gross salary €4,925–€6,682

Flexible working hours

Job summary

Maastricht University (UM) invites applications for a Postdoctoral Researcher in Data Science and Artificial Intelligence within the BISS at Maastricht University. The role focuses on developing multimodal AI methods to infer user states from neuro-physiological and behavioral data for adaptive VR training.

The successful candidate will lead the data science component of the three-year VR-STRESS project, collaborating across psychology, engineering, and VR development to publish results and

Qualifications

• PhD in data science, AI, ML, computer science, computational cognitive science, biomedical engineering, cognitive science, or related field.
• Experience developing and evaluating ML, statistical, or signal-processing methods for complex datasets.
• Comfort with scientific programming environments.

Responsibilities

• Lead the data science and artificial intelligence component of the VR-STRESS project.
• Develop methods for processing, integrating, and interpreting multimodal physiological and behavioral data.
• Investigate model interpretability, robustness, and generalizability; validate against self-reports and objective measures.
• Develop real-time or near-real-time algorithms for adaptive VR applications.
• Collaborate with experimental psychologists, cognitive scientists, engineers, and VR developers; disseminate results.

Skills

Data science

Machine learning

Multimodal sensing

Time-series analysis

Sensor fusion

Deep learning

Model interpretability

Cognitive science

Education

PhD in data science / AI / ML / CS / cognitive science

Tools

Python

PyTorch

MATLAB

Job description

Maastricht University (UM) invites applications for a Postdoctoral Researcher in Data Science and Artificial Intelligence within the BISS at Maastricht University. The role focuses on developing multimodal AI methods to infer user states from neuro-physiological and behavioral data for adaptive VR training.

The successful candidate will lead the data science component of the three-year VR-STRESS project, collaborating across psychology, engineering, and VR development to publish results and