Working Student (IBS-Lab, IV-SB-0044-2025)

Working Students with 40h per month, IBS Lab

The Intelligent Biomedical Sensing (IBS) Lab at TU Berlin's BIFOLD / Machine Learning Department develops miniaturized wearable neurotechnology and body-worn sensors for unobtrusive monitoring of the embodied brain in the everyday world. It uses machine learning on multimodal sensor data, together with environmental context information toward intelligent monitoring and individualized comprehensive understanding of physical and mental states and risk factors. To learn more visit www.ibs-lab.com/mission-statement.

We are looking for a student research assistant in the domain of Signal Processing and Scalable Data Management for Deep Learning on Brain Imaging Data.

Tasks to be carried out under guided supervision:

• 40 %: Dataset Acquisition and Processing: Support in identifying and acquiring recent publicly available datasets through an extensive literature review, handling downloads, ensuring compliance with standard data formats (e.g., BIDS, SNIRF) and support handling of large-scale data storage.
• 30 %: Data Quality Assessment: Assist in generating structured data-quality assessment reports for both in-house curated datasets (e.g., from the IBS lab) and externally acquired datasets.
• 30 %: Support of Deep Learning Model Development: Support of Deep learning model development for preferred tasks, focusing on data pre-processing pipeline design, data augmentation, and deep learning architecture design.

 

Employer: TU Berlin / BIFOLD
Application deadline: July 07, 2025
Job-ID: IV-SB-0044-2025