Fraunhofer-Gesellschaft
Student assistant in the field of Media Distribution and Security(m/w/x)
Part-timeWorking StudentOn-site
Ilmenau
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FRFraunhofer-Gesellschaft
Research Assistant AI-based detection of anomaly causes in measurements(m/w/x)
Ilmenau
Part-timeOn-siteJunior
AI/ML
Data Science
Nejo AI Summary
Identifying anomaly causes in electrical measurements using tensor and neuro-symbolic models at an application-oriented research organization. Data science and time series analysis experience, with Python programming skills, needed. Participation in research project, thesis/internship opportunity.
Requirements
- First experiences in data science and data analysis (preferably time series)
- Programming skills in Python
- Fluency in German or English
- Local proximity for regular in-person meetings
Tasks
- Research root cause analysis in anomaly detection.
- Develop and test AI approaches (tensor models, neuro-symbolic AI) to identify anomaly causes in electrical measurements.
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
Benefits
Flexible Working
- Flexible working hours
Purpose-Driven Work
- Participation in research project
Other Benefits
- Opportunity for thesis/internship
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft 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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FRFraunhofer-Gesellschaft
Research Assistant AI-based detection of anomaly causes in measurements(m/w/x)
Ilmenau
Part-timeOn-siteJunior
AI/ML
Data Science
Nejo AI Summary
Identifying anomaly causes in electrical measurements using tensor and neuro-symbolic models at an application-oriented research organization. Data science and time series analysis experience, with Python programming skills, needed. Participation in research project, thesis/internship opportunity.
Requirements
- First experiences in data science and data analysis (preferably time series)
- Programming skills in Python
- Fluency in German or English
- Local proximity for regular in-person meetings
Tasks
- Research root cause analysis in anomaly detection.
- Develop and test AI approaches (tensor models, neuro-symbolic AI) to identify anomaly causes in electrical measurements.
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
Benefits
Flexible Working
- Flexible working hours
Purpose-Driven Work
- Participation in research project
Other Benefits
- Opportunity for thesis/internship
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft 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
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
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