Aumovio
Master Thesis - Metric-Guided Diffusion Models for High-Fidelity In-Cabin Synthetic Data Generation(m/w/x)
Full-timeInternshipWith Homeoffice
Berlin
New Job?Nejo!
The AI Job Search Engine
CA
CARIAD SEPhD Student - Virtual Simulation Models for LiDAR and Radar Sensors(m/w/x)
Berlin, Ingolstadt, Wolfsburg, Mönsheim, München
Full-timeWith Home Office
Description
You will advance automotive safety by developing high-fidelity LiDAR and radar simulations, blending physics with machine learning to bridge the gap between virtual models and real-world data.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master’s degree in relevant technical field
- •Knowledge in machine learning or applied physics
- •Strong programming skills
- •Experience with machine learning frameworks
- •Preferable experience with radar or lidar
- •Preferable experience with simulation tools
- •Strong analytical and communication skills
- •German language skills as a plus
- •Self-driven, proactive, and resilient personality
- •Enthusiasm for automated driving technology
Education
Master's degree
Tasks
- •Execute the PhD research project
- •Review and summarize state-of-the-art research
- •Develop accurate LiDAR and radar models
- •Account for weather and material properties
- •Collect data for sensor model development
- •Combine physics-based and Machine Learning approaches
- •Integrate sensor models into simulation frameworks
- •Define and implement validation workflows
- •Benchmark models against real-world sensor data
- •Document research and provide recommendations
Tools & Technologies
PythonC++MATLABTensorFlowPyTorchCarMakerPreScanCarlaVTDNVIDIA DRIVE Sim
Languages
English – Business Fluent
German – Basic
Benefits
Flexible Working
- •Remote work options
Mentorship & Coaching
- •Possibility to supervise students
Workation & Sabbatical
- •Temporary work from abroad
More Vacation Days
- •30 days paid leave
Other Benefits
- •Disability application assistance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of CARIAD SE 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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Full-timeInternshipWith Homeofficefrom 13.9 / hourIngolstadt, München, Berlin - CARIAD SE
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CA
CARIAD SEPhD Student - Virtual Simulation Models for LiDAR and Radar Sensors(m/w/x)
Berlin, Ingolstadt, Wolfsburg, Mönsheim, München
Full-timeWith Home Office
New Job?Nejo!
The AI Job Search Engine
Description
You will advance automotive safety by developing high-fidelity LiDAR and radar simulations, blending physics with machine learning to bridge the gap between virtual models and real-world data.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master’s degree in relevant technical field
- •Knowledge in machine learning or applied physics
- •Strong programming skills
- •Experience with machine learning frameworks
- •Preferable experience with radar or lidar
- •Preferable experience with simulation tools
- •Strong analytical and communication skills
- •German language skills as a plus
- •Self-driven, proactive, and resilient personality
- •Enthusiasm for automated driving technology
Education
Master's degree
Tasks
- •Execute the PhD research project
- •Review and summarize state-of-the-art research
- •Develop accurate LiDAR and radar models
- •Account for weather and material properties
- •Collect data for sensor model development
- •Combine physics-based and Machine Learning approaches
- •Integrate sensor models into simulation frameworks
- •Define and implement validation workflows
- •Benchmark models against real-world sensor data
- •Document research and provide recommendations
Tools & Technologies
PythonC++MATLABTensorFlowPyTorchCarMakerPreScanCarlaVTDNVIDIA DRIVE Sim
Languages
English – Business Fluent
German – Basic
Benefits
Flexible Working
- •Remote work options
Mentorship & Coaching
- •Possibility to supervise students
Workation & Sabbatical
- •Temporary work from abroad
More Vacation Days
- •30 days paid leave
Other Benefits
- •Disability application assistance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of CARIAD SE 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
CARIAD SE
Industry
Automotive
Description
The company builds automotive software platforms and digital customer functions for brands like Audi, Volkswagen, and Porsche.
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 - CARIAD SE
Internship / Masters Thesis - Sim‑to‑Real Transfer in Reinforcement Learning(m/w/x)
Full-timeInternshipWith Homeofficefrom 13.9 / hourMönsheim, 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
Internship / Thesis - Safety-Critical KPIs for Perception, Tracking & Planning(m/w/x)
Full-timeInternshipWith Homeofficefrom 13.9 / hourIngolstadt, Berlin, München - CARIAD SE
Internship / Masters Thesis - Sim-to-Real Transfer in Reinforcement Learning(m/w/x)
Full-timeInternshipWith Homeofficefrom 13.9 / hourMönsheim, München, Berlin