Endress+Hauser InfoServe GmbH+Co. KG
Praktikum/Thesis - Improvement Denoising Diffusion Models for Multimodal Anomaly Detection(m/w/x)
Full-timeInternshipWith Homeoffice
Freiburg im Breisgau, Weil am Rhein
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ENEndress+Hauser InfoServe GmbH+Co. KG
Internship/Thesis- Improve Denoising Diffusion Models for Multimodal Anomaly Detection(m/w/x)
Freiburg im Breisgau, Weil am Rhein
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Improving denoising diffusion models for anomaly detection using transformer architectures on industrial datasets. Strong analytical thinking and curiosity required. State-of-the-art equipment, independent project work.
Requirements
- Studies in Computer Science, AI, Data Science, Applied Mathematics or related
- Curiosity and proactivity in solving research problems
- Enjoyment of experimenting with new ideas
- Strong analytical thinking
- Enthusiasm for modern ML research
- Initial experience with generative models or anomaly detection
- Initial knowledge of Python, PyTorch or TensorFlow
- Initial knowledge of Linux environments
- Initial knowledge of GPU-accelerated trainings
- Initial knowledge of common ML tooling (Git, MLflow, etc.)
- Fluent English
Tasks
- Explore and improve denoising diffusion models
- Focus on modern transformer architectures
- Experiment with real-life industrial datasets
- Use large publicly available benchmarks
- Research diffusion models for anomaly detection
- Work with transformer-based encoders
- Utilize diffusion transformers (DiT) denoisers
- Perform experiments on KAPUTT dataset
- Investigate recent advances in flow matching
- Explore sampling strategies
- Research feature fusion techniques
- Document research findings
- Present results to the team
Education
- Currently in higher education
Languages
- English – Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Linux
- Git
- MLflow
Benefits
Mentorship & Coaching
- Professional and personal support
Other Benefits
- Independent project work
Modern Office
- State-of-the-art working environment
Informal Culture
- Internationally active family business
Modern Equipment
- State-of-the-art equipment
Flexible Working
- Home office in consultation
Team Events
- Individual company and team events
Public Transport Subsidies
- Deutschlandticket
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Endress+Hauser InfoServe GmbH+Co. KG 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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ENEndress+Hauser InfoServe GmbH+Co. KG
Internship/Thesis- Improve Denoising Diffusion Models for Multimodal Anomaly Detection(m/w/x)
Freiburg im Breisgau, Weil am Rhein
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Improving denoising diffusion models for anomaly detection using transformer architectures on industrial datasets. Strong analytical thinking and curiosity required. State-of-the-art equipment, independent project work.
Requirements
- Studies in Computer Science, AI, Data Science, Applied Mathematics or related
- Curiosity and proactivity in solving research problems
- Enjoyment of experimenting with new ideas
- Strong analytical thinking
- Enthusiasm for modern ML research
- Initial experience with generative models or anomaly detection
- Initial knowledge of Python, PyTorch or TensorFlow
- Initial knowledge of Linux environments
- Initial knowledge of GPU-accelerated trainings
- Initial knowledge of common ML tooling (Git, MLflow, etc.)
- Fluent English
Tasks
- Explore and improve denoising diffusion models
- Focus on modern transformer architectures
- Experiment with real-life industrial datasets
- Use large publicly available benchmarks
- Research diffusion models for anomaly detection
- Work with transformer-based encoders
- Utilize diffusion transformers (DiT) denoisers
- Perform experiments on KAPUTT dataset
- Investigate recent advances in flow matching
- Explore sampling strategies
- Research feature fusion techniques
- Document research findings
- Present results to the team
Education
- Currently in higher education
Languages
- English – Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Linux
- Git
- MLflow
Benefits
Mentorship & Coaching
- Professional and personal support
Other Benefits
- Independent project work
Modern Office
- State-of-the-art working environment
Informal Culture
- Internationally active family business
Modern Equipment
- State-of-the-art equipment
Flexible Working
- Home office in consultation
Team Events
- Individual company and team events
Public Transport Subsidies
- Deutschlandticket
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Endress+Hauser InfoServe GmbH+Co. KG 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
Endress+Hauser InfoServe GmbH+Co. KG
Industry
IT
Description
Das Unternehmen ist ein weltweit führender Anbieter von Messgeräten im Bereich der Prozessautomatisierung.
Not a perfect match?
- Endress+Hauser InfoServe GmbH+Co. KG
Praktikum/Thesis - Improvement Denoising Diffusion Models for Multimodal Anomaly Detection(m/w/x)
Full-timeInternshipWith HomeofficeFreiburg im Breisgau, Weil am Rhein - TRUMPF Hüttinger GmbH + Co.KG
Abschlussarbeit Entwicklung und Optimierung von RF-Design-Simulationen unter Einsatz von Künstlicher Intelligenz(m/w/x)
Full-timeInternshipWith HomeofficeFreiburg im Breisgau - Endress+Hauser
Thesis (BA/MA)(m/w/x)
Full-timeInternshipWith HomeofficeFreiburg im Breisgau - Fraunhofer-Gesellschaft
Student Assistant for Thesis: Simulation of reaction and separation processes in the Power-to-Liquids context(m/w/x)
Full-timeWorking StudentWith HomeofficeFreiburg im Breisgau - Fraunhofer-Gesellschaft
Student Assistant "Support for projects in the Monitoring area"(m/w/x)
Full-timeWorking StudentWith HomeofficeFreiburg im Breisgau