PhD/PostDoc at TU Berlin – Electronics Engineering and ML for Wearable Brain-Body Imaging

The independent research group "Intelligent Biomedical Sensing (IBS)" headed by Dr.-Ing. Alexander von Lühmann is hiring!

Ihr Aufgabengebiet:

We are looking for a highly motivated researcher to join us in interdisciplinary projects that focus on the development of novel methods for the identification and extraction of robust multimodal biomarkers for neuronal and peripheral physiological activation - towards personalized digital health.

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 brai-nbody 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

Ihr Profil:

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

Employer: TU Berlin/BIFOLD, Berlin, Germany

Salary grade: TV-L 13 Berliner Hochschulen

Starting date: at the earliest possible

Closing date: 07.07.2023

Full job postings and more details: TUB IV-340/23 |  IBS Lab | LinkedIn

Please send your application to: jobs(at)bifold.berlin

BIFOLD-ML | Machine Learning Department
Technische Universität Berlin
Fakultät IV – EECS
MAR 4-1 / Raum 4.045
Marchstr. 23
10587 Berlin

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