PhDApplications Closed
Dr.-Ing. Alexander von Lühmann
Technische Universität Berlin, Fakultät IV – EECS, MAR 4-1 / Raum 4.045, Marchstr. 23, 10587 Berlin
Position Details
Apply by Jun 23, 2024
PhD
Technische Universität Berlin, Fakultät IV – EECS, MAR 4-1 / Raum 4.045, Marchstr. 23, 10587 Berlin
Application deadline
Jun 23, 2024
Job
Job location
Technische Universität Berlin, Fakultät IV – EECS, MAR 4-1 / Raum 4.045, Marchstr. 23, 10587 Berlin
Quick Information
Application Deadline
Jun 23, 2024
Start Date
Flexible
Education Required
See description
Experience Level
—
Job
Job location
Technische Universität Berlin, Fakultät IV – EECS, MAR 4-1 / Raum 4.045, Marchstr. 23, 10587 Berlin
Job Description
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.
Requirements
- Successfully completed university degree (Master
- Diplom or equivalent) with excellent grades in electrical or biomedical engineering
- embedded systems engineering
- opto-physics
- or a similar technical subject. Doctoral degree desirable but not required. Strong competence in the development of (opto)electronic circuits and layouts from circuit diagram to pilot series (experience with CAE and CAD software). Sound knowledge of microcontrollers and mixed-signal circuits.
Job
Job location
Coordinates pending.
Technische Universität Berlin, Fakultät IV – EECS, MAR 4-1 / Raum 4.045, Marchstr. 23, 10587 Berlin
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