Aumovio
Master Thesis - Metric-Guided Diffusion Models for High-Fidelity In-Cabin Synthetic Data Generation(m/w/x)
Full-timeInternshipWith Homeoffice
Berlin
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AUAumovio
Master Thesis - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices(m/w/x)
Berlin
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Optimizing sparse 3D occupancy prediction models for embedded devices. Deep learning, Python, and runtime optimization experience required. Hybrid work, flexible hours, and specialist support.
Requirements
- Study in AI, ML, Computer Vision, CS, Robotics, Math or comparable
- Strong Python programming skills
- Strong interest in runtime optimization
- Experience in 3D perception, multihead attention, deep learning, large architecture training/optimization, Docker, PyTorch, OOP, Git
- Research/software engineering experience (internships, work, competitions, projects, papers)
- Fluent English language skills
- Independent, goal-oriented, structured work with high-quality results
- Analytical thinking and problem-solving skills
- Creativity and flexibility
- Very good communication and teamwork skills
- Current enrollment certificate, grade level, thesis regulations excerpt
- Valid residence and work permit (non-EU)
- Applications from severely handicapped people welcome
Tasks
- Work on sparsifying, pruning, and quantizing CNN and transformer-based architectures
- Design and implement models for runtime-optimized 3D semantic occupancy predictions
- Evaluate models and training algorithms
- Summarize research findings in a paper or master thesis
- Prepare findings for potential patent submission
Education
- Currently in higher education
Languages
- English – Fluent
Tools & Technologies
- Python
- Docker
- PyTorch
- Git
Benefits
Mentorship & Coaching
- Qualified support from specialists and PhDs
Flexible Working
- Flexible working hours
- Hybrid working model
- Occasional work from home
Modern Equipment
- Powerful GPU infrastructure
Learning & Development
- Journal clubs
Team Events
- Networking events
Diverse Work
- Technical topic sharing
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 - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices(m/w/x)
Berlin
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Optimizing sparse 3D occupancy prediction models for embedded devices. Deep learning, Python, and runtime optimization experience required. Hybrid work, flexible hours, and specialist support.
Requirements
- Study in AI, ML, Computer Vision, CS, Robotics, Math or comparable
- Strong Python programming skills
- Strong interest in runtime optimization
- Experience in 3D perception, multihead attention, deep learning, large architecture training/optimization, Docker, PyTorch, OOP, Git
- Research/software engineering experience (internships, work, competitions, projects, papers)
- Fluent English language skills
- Independent, goal-oriented, structured work with high-quality results
- Analytical thinking and problem-solving skills
- Creativity and flexibility
- Very good communication and teamwork skills
- Current enrollment certificate, grade level, thesis regulations excerpt
- Valid residence and work permit (non-EU)
- Applications from severely handicapped people welcome
Tasks
- Work on sparsifying, pruning, and quantizing CNN and transformer-based architectures
- Design and implement models for runtime-optimized 3D semantic occupancy predictions
- Evaluate models and training algorithms
- Summarize research findings in a paper or master thesis
- Prepare findings for potential patent submission
Education
- Currently in higher education
Languages
- English – Fluent
Tools & Technologies
- Python
- Docker
- PyTorch
- Git
Benefits
Mentorship & Coaching
- Qualified support from specialists and PhDs
Flexible Working
- Flexible working hours
- Hybrid working model
- Occasional work from home
Modern Equipment
- Powerful GPU infrastructure
Learning & Development
- Journal clubs
Team Events
- Networking events
Diverse Work
- Technical topic sharing
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?
- Aumovio
Master Thesis - Metric-Guided Diffusion Models for High-Fidelity In-Cabin Synthetic Data Generation(m/w/x)
Full-timeInternshipWith HomeofficeBerlin - Exxeta
Thesis (Master) AI Operating System for Agentic Applications(m/w/x)
Full-timeWith HomeofficeNot specifiedBerlin, Karlsruhe, Mannheim - Merantix Momentum
Machine Learning Engineer - Talent Pool(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - Exxeta
Senior Data Scientist - Physical AI & Computer Vision(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Karlsruhe, Mannheim - dida Datenschmiede GmbH
Machine Learning Researcher(m/w/x)
Full-time/Part-timeWith HomeofficeNot specifiedBerlin