The IBS Lab develops miniaturized wearable neurotechnology and body-worn sensors, as well as machine learning methods for sensing signals from the brain and body under natural conditions of the everyday world. The group focuses on multimodal analysis of physiological signals in diffuse optics (e.g. fNIRS) and biopotentials (e.g. EEG). Working field: Independent and responsible research on wearable instruments and methods for robust neurotechnology in mobile applications. Design and implementation of innovative wearable and miniaturized opto-electronic hardware for multimodal brain-body imaging using diffuse optics and biopotentials. Development of multimodal machine-learning-based sensor fusion methods for signal analysis, signal decomposition and inference from wearable physiological sensor data.

The independent research group 'Intelligent Biomedical Sensing (IBS)' is hiring for a PhD/PostDoc position. The IBS Lab develops miniaturized wearable neurotechnology and body-worn sensors, as well as machine learning methods for sensing signals from the brain and body under natural conditions of the everyday world. The group focuses on multimodal analysis of physiological signals in diffuse optics (e.g. fNIRS and DOT) and biopotentials (e.g. EEG). The job responsibilities include independent and responsible research on ML-based methods and models for robust neurotechnology in mobile applications, exploration of models and methods for physiology-informed multimodal brain imaging and single-trial analysis, development of multimodal machine learning-based methods for signal analysis, signal decomposition and identification of physiological transfer functions, scientific publishing, and teaching duties.