CARIAD SE
Internship / Thesis - Safety-Critical KPIs for Perception, Tracking & Planning(m/w/x)
Full-timeInternshipWith Homeoffice
from 13.9 / hour
Ingolstadt, Berlin, München
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AUAumovio
Master Thesis - Metric-Guided Diffusion Models for High-Fidelity In-Cabin Synthetic Data Generation(m/w/x)
Berlin
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
In this master’s thesis, you will explore the exciting intersection of Generative AI and Automotive AI by working with advanced diffusion models. Your work will involve generating high-fidelity synthetic images and analyzing their effects on computer vision tasks, while contributing to innovative driver monitoring systems.
Requirements
- 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
Tasks
- 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
Education
Currently in higher education
Languages
English – Business Fluent
Tools & Technologies
PythonPyTorchGitDocker
Benefits
Competitive Pay
- •Fair remuneration for thesis work
Mentorship & Coaching
- •Close supervision by experienced researchers
- •Participation in journal clubs
Modern Equipment
- •Access to powerful GPU infrastructure
Learning & Development
- •Technical talks
Team Events
- •Networking events
Other Benefits
- •Diversity, Inclusion & Belonging
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Aumovio 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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AUAumovio
Master Thesis - Metric-Guided Diffusion Models for High-Fidelity In-Cabin Synthetic Data Generation(m/w/x)
Berlin
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
In this master’s thesis, you will explore the exciting intersection of Generative AI and Automotive AI by working with advanced diffusion models. Your work will involve generating high-fidelity synthetic images and analyzing their effects on computer vision tasks, while contributing to innovative driver monitoring systems.
Requirements
- 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
Tasks
- 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
Education
Currently in higher education
Languages
English – Business Fluent
Tools & Technologies
PythonPyTorchGitDocker
Benefits
Competitive Pay
- •Fair remuneration for thesis work
Mentorship & Coaching
- •Close supervision by experienced researchers
- •Participation in journal clubs
Modern Equipment
- •Access to powerful GPU infrastructure
Learning & Development
- •Technical talks
Team Events
- •Networking events
Other Benefits
- •Diversity, Inclusion & Belonging
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Aumovio 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
Aumovio
Industry
Automotive
Description
Das Unternehmen AUMOVIO bietet ein breites Portfolio für sichere, vernetzte und autonome Mobilität, einschließlich Sensorlösungen und Softwareexpertise.
Not a perfect match?
- CARIAD SE
Internship / Thesis - Safety-Critical KPIs for Perception, Tracking & Planning(m/w/x)
Full-timeInternshipWith Homeofficefrom 13.9 / hourIngolstadt, Berlin, München - CARIAD SE
Internship / Thesis- Safety-Critical KPIs for Perception, Tracking & Planning(m/w/x)
Full-timeInternshipWith Homeofficefrom 13.9 / hourIngolstadt, München, Berlin - CARIAD SE
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Full-timeWith HomeofficeNot specifiedBerlin, Ingolstadt, Wolfsburg, Mönsheim, München - Exxeta
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Full-timeWith HomeofficeNot specifiedBerlin, Karlsruhe, Mannheim - Merantix Momentum
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Full-timeWith HomeofficeExperiencedBerlin