Internship - EEG & fNIRS Data Acquisition and (Pre-)Processing job opportunity at Zeiss Group.

Home Jobs In Germany Tag: Job Internship - EEG & fNIRS Data Acquisition and (Pre-)Processing position at Zeiss Group


DateMore Than 30 Days Ago bot
Zeiss Group Internship - EEG & fNIRS Data Acquisition and (Pre-)Processing
Experience: General
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Job

Copy Link Report
degreeGeneral
loacation Karlsruhe, Germany
loacation Karlsruhe....Germany

Motivation of the Work Turning today’s research into tomorrow’s applications – together. At ZEISS, we focus on user-centric innovation to transform ideas into cutting-edge 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 Near-Infrared Spectroscopy) data. This role offers a unique opportunity to work hands-on with human neuroimaging data, ensuring high-quality recordings and organizing datasets for research in neural decoding and AI-driven analysis. If you are passionate about neuroscience, and signal processing and eager to contribute to cutting-edge research, join us! We Offer A dynamic and interdisciplinary research environment Hands-on experience with EEG and fNIRS data acquisition and lab equipment Exposure to state-of-the-art methods in neural signal processing and data curation Opportunity to contribute to AI-ready datasets for machine learning applications for neural decoding Close mentorship An agile work environment The possibility of continuing as part of a Master’s 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 stimulus-brain 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 signal-to-noise 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 Bachelor’s or Master’s 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 self-motivated with strong analytical skills Capable of working independently as well as in a team-oriented 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 Gansloser

Other Ai Matches

Head of Global Construction Projects (m/w/x) Applicants are expected to have a solid experience in handling Job related tasks
C++ Technical Architect – Medical Device Software Applicants are expected to have a solid experience in handling Job related tasks
Praktikum im Bereich Technologie / Qualitätssicherung (m/w/x) Applicants are expected to have a solid experience in handling Job related tasks
Head of Electrical Design & Automation (m/w/x) Applicants are expected to have a solid experience in handling Job related tasks
ZBPP Retail Development & Excellence Manager – Middle East & Africa Applicants are expected to have a solid experience in handling Job related tasks
Internship - EEG & fNIRS Data Acquisition and (Pre-)Processing Applicants are expected to have a solid experience in handling Job related tasks
Head of DUV & WIO Building Projects (m/w/x) Applicants are expected to have a solid experience in handling Job related tasks
Product Owner Produktentwicklung Embedded Software (m/w/x) - auch in Teilzeit möglich Applicants are expected to have a solid experience in handling Job related tasks
Software Development Engineer in Test Applicants are expected to have a solid experience in handling Job related tasks
Anlagenbediener/-in Handgalvanik (m/w/x) - 1 Jahr befristet Applicants are expected to have a solid experience in handling Job related tasks
Claim Manager Construction (m/w/x) Applicants are expected to have a solid experience in handling Job related tasks
Lead Data Scientist – Predictive Analytics / GenAI Applicants are expected to have a solid experience in handling Job related tasks
Intrapreneur / Business & Tech Lead - Agriculture Robotics (m/f/x) - limited for 2 years Applicants are expected to have a solid experience in handling Job related tasks
Tech Lead Applicants are expected to have a solid experience in handling Job related tasks
Hardware-nahen Software Developer – Architektur & GPU-Algorithmen (m/w/x) Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Field Service Technician Applicants are expected to have a solid experience in handling Job related tasks
Head of Firmware Development/ Embedded Systems (m/w/x) Applicants are expected to have a solid experience in handling Job related tasks
Technischer Redakteur (m/w/x) Applicants are expected to have a solid experience in handling Job related tasks
Planificateur Supply chain H/F Applicants are expected to have a solid experience in handling Job related tasks
Mechanical Designer Applicants are expected to have a solid experience in handling Job related tasks
Quality Manager - Engineering Applicants are expected to have a solid experience in handling Job related tasks
Test Lead Applicants are expected to have a solid experience in handling Job related tasks
Technician I, Lab Applicants are expected to have a solid experience in handling Lab related tasks