Postdoctoral Researcher in Computer Vision and Multimodal AI for the Early Detection of Parkinson’s Disease (m/w/d)

Postdoctoral Researcher in Computer Vision and Multimodal AI for the Early Detection of Parkinson’s Disease (m/w/d)

Ihre Aufgaben

Lead the development of computer vision methods for quantifying subtle motor abnormalities from clinical video recordings Develop robust pipelines for human pose estimation, facial and body landmark detection, movement segmentation, tracking, feature extraction and automated quality control Design and evaluate machine-learning and deep-learning models for the analysis of gait, balance, facial expression and upper- and lower-limb movements Investigate temporal modelling, representation learning and interpretable movement features for the detection and monitoring of early motor dysfunction Integrate video-derived features with complementary digital modalities such as speech, touchscreen tasks, inertial sensors and clinical assessments Evaluate model robustness and generalizability across participants, recording conditions, devices and international study sites Work closely with the clinical research team on study design, data collection, annotation strategies and the interpretation of model outputs Prepare scientific manuscripts, present results at international conferences and contribute to grant applications Support the supervision of doctoral, Master’s and medical students

Ihr Profil

A doctoral degree in computer vision, machine learning, computer science, biomedical engineering, medical informatics or a closely related discipline Strong experience in machine learning and deep learning for image, video or human movement analysis Excellent programming skills in Python and practical experience with frameworks such as PyTorch, TensorFlow or JAX Experience in one or more of the following areas: human pose estimation, motion tracking, action recognition, temporal modelling, self-supervised learning, multimodal learning or domain adaptation A sound understanding of experimental design, quantitative model evaluation and reproducible research practices Experience with version control and collaborative software development; knowledge of containerized workflows and high-performance computing is an advantage Interest in translating methodological advances into clinically meaningful applications; previous experience in Parkinson’s disease or medical research is welcome but not required A high degree of scientific curiosity, independence and commitment to rigorous research Strong communication skills and enthusiasm for working in an interdisciplinary and international envir