Fraunhofer-Gesellschaft
Master Thesis - Multi-modal traversability estimation for Autonomous Outdoor Navigation(m/w/x)
Full-timeInternshipOn-site
Stuttgart
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FRFraunhofer-Gesellschaft
Master Thesis - Out-of-distribution detection + annotation for traversability estimation for robots(m/w/x)
Stuttgart
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Developing DNN pipelines for robot traversability estimation, testing with CURT robots at research organization with 76 institutes. Enrollment at a German university required, deep learning frameworks experience needed. Master Thesis project, real-world robot application focus.
Requirements
- Field of study in automation technology, electrical engineering, computer science, cybernetics, mechanical engineering, mathematics, mechatronics, control engineering, software design, software engineering, technical computer science, or comparable
- Enrollment at a German university/Hochschule
- Background in computer science, software engineering, mechatronics, or similar
- Experience with deep learning frameworks such as Keras, TensorFlow, or PyTorch
- Experience in developing and testing deep learning models for computer vision applications is beneficial
- Analytical mindset
- Enthusiasm for mobile robotics
- Fluency in English or German
Tasks
- Design a semantic traversability classification DNN pipeline
- Extend the few-shot segmentation DNN algorithm for new environments
- Evaluate methods to identify out-of-distribution domains
- Assess approaches for automated model learning using robot experience
- Test implementation in real-world scenarios with CURT robots
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Keras
- TensorFlow
- PyTorch
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft 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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FRFraunhofer-Gesellschaft
Master Thesis - Out-of-distribution detection + annotation for traversability estimation for robots(m/w/x)
Stuttgart
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Developing DNN pipelines for robot traversability estimation, testing with CURT robots at research organization with 76 institutes. Enrollment at a German university required, deep learning frameworks experience needed. Master Thesis project, real-world robot application focus.
Requirements
- Field of study in automation technology, electrical engineering, computer science, cybernetics, mechanical engineering, mathematics, mechatronics, control engineering, software design, software engineering, technical computer science, or comparable
- Enrollment at a German university/Hochschule
- Background in computer science, software engineering, mechatronics, or similar
- Experience with deep learning frameworks such as Keras, TensorFlow, or PyTorch
- Experience in developing and testing deep learning models for computer vision applications is beneficial
- Analytical mindset
- Enthusiasm for mobile robotics
- Fluency in English or German
Tasks
- Design a semantic traversability classification DNN pipeline
- Extend the few-shot segmentation DNN algorithm for new environments
- Evaluate methods to identify out-of-distribution domains
- Assess approaches for automated model learning using robot experience
- Test implementation in real-world scenarios with CURT robots
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Keras
- TensorFlow
- PyTorch
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft 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
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
Not a perfect match?
- Fraunhofer-Gesellschaft
Master Thesis - Multi-modal traversability estimation for Autonomous Outdoor Navigation(m/w/x)
Full-timeInternshipOn-siteStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Multi-session global traversability Mapping for Autonomous Outdoor Navigation(m/w/x)
Full-timeInternshipOn-siteStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Full-timeInternshipOn-siteStuttgart - Fraunhofer-Gesellschaft
Masterthesis - Reinforcement Learning approach for path following and base control(m/w/x)
Full-timeOn-siteNot specifiedStuttgart - Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Full-timeOn-siteNot specifiedRenningen