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Master Thesis - Metric-Guided Diffusion Models for High-Fidelity In-Cabin Synthetic Data Generation(m/w/x)
Developing and evaluating metric-guided synthetic in-cabin image data for autonomous mobility at a sensor solutions firm. Master's program enrollment in AI/ML/CV and prior diffusion model exposure required. Powerful GPU infrastructure access, with journal club participation.
Anforderungen
- Enrollment in a master’s program in Artificial Intelligence, Machine Learning, Computer Vision, Computer Science, Robotics, Mathematics, or a related field
- Strong Python programming skills
- Solid understanding of deep learning and computer vision fundamentals
- Experience with PyTorch or similar deep learning frameworks
- Prior exposure to diffusion models, GANs, or synthetic data generation
- Experience with pose estimation, activity recognition, or multimodal models
- Familiarity with CLIP, ControlNet, or image quality evaluation metrics
- Experience using Git, Docker, and GPU-based training
- Previous research projects, internships, or open-source contributions are a plus
- Independent, structured, and goal-oriented
- Strong analytical thinkers with good problem-solving skills
- Curious and creative when exploring new ideas
- Good communicators who enjoy working in a team
- Motivated to deliver high-quality and reproducible research
- Proof of enrollment in a master’s program
- A current transcript of grades
- An excerpt from your study regulations confirming master’s thesis requirements
- Valid residence permit and work permit if not from the EU
Aufgaben
- Implement diffusion-based image generation models
- Experiment with image generation techniques
- Develop an evaluation pipeline for synthetic in-cabin image datasets
- Investigate metric-driven feedback loops for image quality improvement
- Analyze synthetic data's impact on computer vision tasks
- Summarize findings in a master’s thesis and potential research paper or patent
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- Git
- Docker
Benefits
Attraktive Vergütung
- Fair remuneration for thesis work
Mentoring & Coaching
- Close supervision by experienced researchers
- Participation in journal clubs
Moderne Technikausstattung
- Access to powerful GPU infrastructure
Weiterbildungsangebote
- Technical talks
Team Events & Ausflüge
- Networking events
Sonstige Vorteile
- Diversity, Inclusion & Belonging
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Master Thesis - Metric-Guided Diffusion Models for High-Fidelity In-Cabin Synthetic Data Generation(m/w/x)
Developing and evaluating metric-guided synthetic in-cabin image data for autonomous mobility at a sensor solutions firm. Master's program enrollment in AI/ML/CV and prior diffusion model exposure required. Powerful GPU infrastructure access, with journal club participation.
Anforderungen
- Enrollment in a master’s program in Artificial Intelligence, Machine Learning, Computer Vision, Computer Science, Robotics, Mathematics, or a related field
- Strong Python programming skills
- Solid understanding of deep learning and computer vision fundamentals
- Experience with PyTorch or similar deep learning frameworks
- Prior exposure to diffusion models, GANs, or synthetic data generation
- Experience with pose estimation, activity recognition, or multimodal models
- Familiarity with CLIP, ControlNet, or image quality evaluation metrics
- Experience using Git, Docker, and GPU-based training
- Previous research projects, internships, or open-source contributions are a plus
- Independent, structured, and goal-oriented
- Strong analytical thinkers with good problem-solving skills
- Curious and creative when exploring new ideas
- Good communicators who enjoy working in a team
- Motivated to deliver high-quality and reproducible research
- Proof of enrollment in a master’s program
- A current transcript of grades
- An excerpt from your study regulations confirming master’s thesis requirements
- Valid residence permit and work permit if not from the EU
Aufgaben
- Implement diffusion-based image generation models
- Experiment with image generation techniques
- Develop an evaluation pipeline for synthetic in-cabin image datasets
- Investigate metric-driven feedback loops for image quality improvement
- Analyze synthetic data's impact on computer vision tasks
- Summarize findings in a master’s thesis and potential research paper or patent
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- Git
- Docker
Benefits
Attraktive Vergütung
- Fair remuneration for thesis work
Mentoring & Coaching
- Close supervision by experienced researchers
- Participation in journal clubs
Moderne Technikausstattung
- Access to powerful GPU infrastructure
Weiterbildungsangebote
- Technical talks
Team Events & Ausflüge
- Networking events
Sonstige Vorteile
- Diversity, Inclusion & Belonging
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Aumovio
Branche
Automotive
Beschreibung
Das Unternehmen AUMOVIO bietet ein breites Portfolio für sichere, vernetzte und autonome Mobilität, einschließlich Sensorlösungen und Softwareexpertise.
Noch nicht perfekt?
- Aumovio
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Vollzeitmit HomeofficeKeine AngabeBerlin, Karlsruhe, Mannheim - Nucs AI
Bachelor's & Master's Thesis Opportunities - AI, Medical Imaging & Clinical Software(m/w/x)
VollzeitWerkstudentRemoteBerlin - Merantix Momentum
Machine Learning Engineer - Talent Pool(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - Exxeta
Senior Data Scientist - Physical AI & Computer Vision(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Karlsruhe, Mannheim