Carl Zeiss AG
Internship in Optical Sensing for Smart Instruments & Medical Robotics(m/w/x)
Full-timeInternshipOn-site
Karlsruhe
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CACarl Zeiss AG
Internship - EEG & fNIRS Data Acquisition and (Pre-)Processing(m/w/x)
Karlsruhe
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
In this internship, you will engage in hands-on work with EEG and fNIRS data, focusing on developing workflows, optimizing data quality, and collaborating with a diverse team to advance neuroscience research.
Requirements
- Enrollment in 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
- Familiarity with AI/ML concepts (e.g., supervised/unsupervised learning, deep learning architectures)
- Creativity, pragmatism, and self-motivation with strong analytical skills
- Ability to work independently and in a team-oriented environment
- Excellent communication skills in English or German
- Passion for innovation and enthusiasm for new technologies
Tasks
- Develop efficient workflows for EEG and fNIRS data acquisition
- Implement metrics to assess and optimize data quality
- Curate and organize large datasets of stimulus-brain activity pairs
- Establish methods for detecting and flagging bad recordings
- Apply advanced preprocessing techniques to enhance signal quality
- Prepare data pipelines for AI and machine learning models
- Collaborate with engineers, neuroscientists, and AI researchers
- Present and discuss research findings in team meetings
Education
Currently in higher education
Languages
English – Business FluentGerman – Basic
Tools & Technologies
PythonNumPy
Benefits
Startup Environment
- •Dynamic research environment
- •Agile work environment
Other Benefits
- •Hands-on experience with EEG and fNIRS
- •Opportunity for AI-ready datasets
Diverse Work
- •Exposure to neural signal processing methods
- •Possibility of Master's thesis project
Mentorship & Coaching
- •Close mentorship
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Carl Zeiss AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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CACarl Zeiss AG
Internship - EEG & fNIRS Data Acquisition and (Pre-)Processing(m/w/x)
Karlsruhe
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
In this internship, you will engage in hands-on work with EEG and fNIRS data, focusing on developing workflows, optimizing data quality, and collaborating with a diverse team to advance neuroscience research.
Requirements
- Enrollment in 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
- Familiarity with AI/ML concepts (e.g., supervised/unsupervised learning, deep learning architectures)
- Creativity, pragmatism, and self-motivation with strong analytical skills
- Ability to work independently and in a team-oriented environment
- Excellent communication skills in English or German
- Passion for innovation and enthusiasm for new technologies
Tasks
- Develop efficient workflows for EEG and fNIRS data acquisition
- Implement metrics to assess and optimize data quality
- Curate and organize large datasets of stimulus-brain activity pairs
- Establish methods for detecting and flagging bad recordings
- Apply advanced preprocessing techniques to enhance signal quality
- Prepare data pipelines for AI and machine learning models
- Collaborate with engineers, neuroscientists, and AI researchers
- Present and discuss research findings in team meetings
Education
Currently in higher education
Languages
English – Business FluentGerman – Basic
Tools & Technologies
PythonNumPy
Benefits
Startup Environment
- •Dynamic research environment
- •Agile work environment
Other Benefits
- •Hands-on experience with EEG and fNIRS
- •Opportunity for AI-ready datasets
Diverse Work
- •Exposure to neural signal processing methods
- •Possibility of Master's thesis project
Mentorship & Coaching
- •Close mentorship
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Carl Zeiss AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Carl Zeiss AG
Industry
Other
Description
Das Unternehmen vereint Innovation und Verantwortung und trägt entscheidend zur strategischen Ausrichtung und zum nachhaltigen Erfolg der ZEISS Gruppe bei.
Not a perfect match?
- Carl Zeiss AG
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