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Internship/Thesis- Improve Denoising Diffusion Models for Multimodal Anomaly Detection(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- Linux
- Git
- MLflow
Benefits
Mentoring & Coaching
- Professional and personal support
Sonstige Vorteile
- Independent project work
Modernes Büro
- State-of-the-art working environment
Lockere Unternehmenskultur
- Internationally active family business
Moderne Technikausstattung
- State-of-the-art equipment
Flexibles Arbeiten
- Home office in consultation
Team Events & Ausflüge
- Individual company and team events
Öffi Tickets
- Deutschlandticket
- Home
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Noch nicht perfekt?
- Endress+Hauser InfoServe GmbH+Co. KGVollzeitPraktikummit 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)
VollzeitPraktikummit HomeofficeFreiburg im Breisgau - Endress+Hauser
Thesis (BA/MA)(m/w/x)
VollzeitPraktikummit HomeofficeFreiburg im Breisgau - Fraunhofer-Gesellschaft
Student Assistant "Support for projects in the Monitoring area"(m/w/x)
VollzeitWerkstudentmit HomeofficeFreiburg im Breisgau - Fraunhofer-Gesellschaft
Bachelor- / Masterarbeit(m/w/x)
VollzeitPraktikummit HomeofficeFreiburg im Breisgau
- Home
- Jobs in der Schweiz
- Riehen
- Internship/Thesis- Improve Denoising Diffusion Models for Multimodal Anomaly DetectionInternship/Thesis- Improve Denoising Diffusion Models for...
Internship/Thesis- Improve Denoising Diffusion Models for Multimodal Anomaly Detection(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- Linux
- Git
- MLflow
Benefits
Mentoring & Coaching
- Professional and personal support
Sonstige Vorteile
- Independent project work
Modernes Büro
- State-of-the-art working environment
Lockere Unternehmenskultur
- Internationally active family business
Moderne Technikausstattung
- State-of-the-art equipment
Flexibles Arbeiten
- Home office in consultation
Team Events & Ausflüge
- Individual company and team events
Öffi Tickets
- Deutschlandticket
Über das Unternehmen
Endress+Hauser InfoServe GmbH+Co. KG
Branche
IT
Beschreibung
Das Unternehmen ist ein weltweit führender Anbieter von Messgeräten im Bereich der Prozessautomatisierung.
Noch nicht perfekt?
- Endress+Hauser InfoServe GmbH+Co. KG
Praktikum/Thesis - Improvement Denoising Diffusion Models for Multimodal Anomaly Detection(m/w/x)
VollzeitPraktikummit 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)
VollzeitPraktikummit HomeofficeFreiburg im Breisgau - Endress+Hauser
Thesis (BA/MA)(m/w/x)
VollzeitPraktikummit HomeofficeFreiburg im Breisgau - Fraunhofer-Gesellschaft
Student Assistant "Support for projects in the Monitoring area"(m/w/x)
VollzeitWerkstudentmit HomeofficeFreiburg im Breisgau - Fraunhofer-Gesellschaft
Bachelor- / Masterarbeit(m/w/x)
VollzeitPraktikummit HomeofficeFreiburg im Breisgau