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 OfferA 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
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
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 GansloserTop Skills
What We Do
ZEISS is an internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling 10 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (status: 30 September 2023).
With around 43,000 employees, ZEISS is active globally in almost 50 countries with around 30 production sites, 60 sales and service companies and 27 research and development facilities (status: 30 September 2023). Founded in 1846 in Jena, the company is headquartered in Oberkochen, Germany. The Carl Zeiss Foundation, one of the largest foundations in Germany committed to the promotion of science, is the sole owner of the holding company, Carl Zeiss AG.
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