Internship - EEG fNIRS Data Acquisition and Pre-Processing
Internship - EEG fNIRS Data Acquisition and Pre-Processing
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1 Vacancy
Job Description
Motivation of the Work
Turning todays research into tomorrows applications together. At ZEISS we focus on usercentric innovation to transform ideas into cuttingedge solutions. The ZEISS Innovation Hub @ KIT fosters collaboration between students researchers and industry professionals to drive technological advancements in neuroscience applications.
We are looking for highly motivated students to support the acquisition quality control and curation of EEG (Electroencephalography) and fNIRS (functional NearInfrared Spectroscopy) data. This role offers a unique opportunity to work handson with human neuroimaging data ensuring highquality recordings and organizing datasets for research in neural decoding and AIdriven analysis.
If you are passionate about neuroscience and signal processing and eager to contribute to cuttingedge research join us!
We Offer
A dynamic and interdisciplinary research environment
Handson experience with EEG and fNIRS data acquisition and lab equipment
Exposure to stateoftheart methods in neural signal processing and data curation
Opportunity to contribute to AIready datasets for machine learning applications for neural decoding
Close mentorship
An agile work environment
The possibility of continuing as part of a Masters thesis project
Your Role
Develop an efficient and reproducible workflow for EEG and fNIRS data acquisition and preprocessing
Implement quantitative metrics to assess and optimize data quality
Curate and organize large datasets of stimulusbrain activity pairs for research applications
Establish online and offline methods for detecting and flagging bad recordings using visualization tools
Apply and evaluate advanced preprocessing techniques to increase the signaltonoise ratio
Prepare data pipelines for AI and machine learning models (feature extraction artifact removal and normalization)
Collaborate with a team of engineers neuroscientists and AI researchers to integrate deep learning approaches into neural decoding
Present and discuss research findings in team and department meetings
Your Profile
Enrolled in a Bachelors or Masters program in biomedical engineering electrical engineering neuroscience computer science AI or related fields
Strong programming skills in Python and NumPy
Solid understanding of electrical engineering principles
Fundamental knowledge of electrophysiology neural signal processing and machine learning
Experience with data preprocessing signal analysis and feature extraction is highly desirable
Familiarity with AI/ML concepts (e.g. supervised/unsupervised learning deep learning architectures) is a plus
Creative pragmatic and selfmotivated with strong analytical skills
Capable of working independently as well as in a teamoriented environment
Excellent communication skills in English or German
Passion for innovation and enthusiasm for new technologies as well as motivation to work in agile interdisciplinary teams
Your ZEISS Recruiting Team:
Franziska GansloserRequired Experience:
Intern
Employment Type
Full-Time
