Student assistant (40 hours per month)

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 Naturalistic Brain-Body Monitoring Experiments and Signal Analysis:

• Support in setting up the lab's biosensing environment and conducting experiments 50%
• Support in the scientific work developing methods for context-sensitive bio signal acquisition by adopting solutions for eye and motion tracking, computer vision, speech-to text and time series analysis of the corresponding data (30%)
• Support with data conditioning and with documentation (20%)

Mandatory criteria:

• Very good knowledge and skills in neuroscience, computational neuroscience, computer science or mathematics
• Good knowledge in the area of planning and conducting neuroscientific experimental protocols and paradigms
• Competent programming and scripting skills (Python or Matlab) and corresponding libraries (sklearn or NumPy)
• Very good written and spoken English skills

Optional criteria:

• Practical experience in at least one of the following areas: Signal acquisition with Electroencephalography (EEG), functional Near Infrared Spectroscopy (fNIRS), functional Magnetic Resonanz Imaging (fMRI), computer vision (e.g. OpenCV), language models / speech-to-text (GPT or whisper), eye tracking, photogrammetry, motion tracking (Kinect sensors)
• Experience in scientific work
• Experience in dealing with version control tools (Git)
• Prior experience in bio signal acquisition in human experiments
• Interdisciplinary and cooperative project experience
• Team player and good communicator
• Pronounced analytical and conceptual skills
• A high level of initiative, self-motivation and results orientation

Please send your complete application documents in a single PDF file. Please only apply if you are enrolled at a German university and can work in person in Berlin, as the place of work is TU Berlin.

Party responsible for specialist area / point of contact for job posting: Dr. Ing.Alexander von Lühmann - vonluehmann@tu-berlin.de / Petra Dudakova - petra.dudakova@tu-berlin.de
Period of employment: immediately for 2 years
Apply to: petra.dudakova@tu-berlin.de

Please submit your written application including cover letter, your CV, certificate of enrollment, and where applicable, current transcript of records, with the reference number to the place of employment indicated above.
In the interest of promoting equality opportunities for men and women, applications from women with suitable qualifications are particularly encouraged.