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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AU
AumovioMaster Thesis - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices(m/w/x)
Berlin
Full-timeInternshipWith Home Office
AI/ML
Data Science
Description
In this Master's thesis, you will explore the exciting field of 3D Semantic Occupancy Prediction for Embedded Devices, focusing on optimizing models and algorithms while documenting findings for potential publication or patenting.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Study in Artificial Intelligence, Machine Learning, Computer Vision, Computer Science, Robotics, Mathematics, or comparable fields
- •Strong programming skills in Python
- •Strong interest in runtime optimization
- •Experience in 3D perception, multihead attention, deep learning, training and optimizing large architectures, Docker, PyTorch, OOP, and Git
- •Demonstrated research/software engineering experience
- •Fluent English language skills in word and writing
- •Independence, goal-orientation, and structured work style
- •Analytical thinking and problem-solving skills
- •Creativity and flexibility
- •Very good communication and teamwork skills
Education
Bachelor's degree
Tasks
- •Sparsify, prune, and quantize CNN and transformer-based architectures for autonomous driving
- •Design and implement models for runtime optimized 3D semantic occupancy predictions
- •Evaluate training algorithms for 3D semantic occupancy predictions
- •Summarize research findings in a paper or master thesis
- •Prepare for patent submission
Tools & Technologies
PythonDockerPyTorchOOPGit
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
Other Benefits
- •Qualified support from specialists
Modern Equipment
- •Powerful GPU infrastructure
Mentorship & Coaching
- •Participation in journal clubs
Team Events
- •Networking events
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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AU
AumovioMaster Thesis - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices(m/w/x)
Berlin
Full-timeInternshipWith Home Office
AI/ML
Data Science
New Job?Nejo!
The AI Job Search Engine
Description
In this Master's thesis, you will explore the exciting field of 3D Semantic Occupancy Prediction for Embedded Devices, focusing on optimizing models and algorithms while documenting findings for potential publication or patenting.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Study in Artificial Intelligence, Machine Learning, Computer Vision, Computer Science, Robotics, Mathematics, or comparable fields
- •Strong programming skills in Python
- •Strong interest in runtime optimization
- •Experience in 3D perception, multihead attention, deep learning, training and optimizing large architectures, Docker, PyTorch, OOP, and Git
- •Demonstrated research/software engineering experience
- •Fluent English language skills in word and writing
- •Independence, goal-orientation, and structured work style
- •Analytical thinking and problem-solving skills
- •Creativity and flexibility
- •Very good communication and teamwork skills
Education
Bachelor's degree
Tasks
- •Sparsify, prune, and quantize CNN and transformer-based architectures for autonomous driving
- •Design and implement models for runtime optimized 3D semantic occupancy predictions
- •Evaluate training algorithms for 3D semantic occupancy predictions
- •Summarize research findings in a paper or master thesis
- •Prepare for patent submission
Tools & Technologies
PythonDockerPyTorchOOPGit
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
Other Benefits
- •Qualified support from specialists
Modern Equipment
- •Powerful GPU infrastructure
Mentorship & Coaching
- •Participation in journal clubs
Team Events
- •Networking events
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 - AeroVect
Senior Software Engineer, Perception(m/w/x)
Full-timeRemoteSeniorBerlin - AeroVect
Staff Software Engineer, Perception(m/w/x)
Full-timeRemoteSeniorBerlin - Merantix Momentum
Machine Learning Engineer - Talent Pool(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - Helsing
AI Research Engineer - Robotics, Control, RL(m/w/x)
Full-timeWith HomeofficeExperiencedMünchen, Berlin