AIT
Master Thesis "Meta Learning in Nonlineary Dynamic System Modelling"(m/w/x)
Part-timeInternshipOn-site
Wien
from 616.44 / month
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AIAIT Austrian Institute of Technology
Master Thesis “Reinforcement Learning for Multi-Log Grasping for a Forestry Crane”(m/w/x)
Wien, Seibersdorf
from 616.44 / month
Part-timeInternshipOn-site
AI/ML
Nejo AI Summary
Developing and evaluating RL-based control policies for multi-log grasping in forestry cranes. Master's studies in Robotics, Mechatronics, AI, or comparable technical field required. Supportive research environment with extensive thesis supervision experience.
Requirements
- Benchmarking approach against heuristic baseline methods
- Analysis of sim-to-real transfer challenges
- Broaden knowledge in reinforcement learning, robot simulation, and learning-based control
- Optional presentation at top robotics conference
- Master's studies in Robotics, Mechatronics, AI, or comparable technical field
- Good knowledge in state estimation and sensor fusion
- Programming experience in Python and/or C++
- ROS-knowhow is advantageous
- Good knowledge of English or German in word and writing
- Evaluating grasping success rate, cycle time, and robustness to disturbances
- Analyze sim-to-real transfer challenges and investigate mitigation strategies
- Broaden your knowledge and skills
Tasks
- Develop and evaluate RL-based control policies
- Design RL policies with reward shaping
- Implement curriculum learning strategies
- Apply domain randomization for generalization
- Test policies in physics-based simulation
- Work under guidance of researchers
Education
- Currently in higher education
Languages
- English – Advanced
- German – Advanced
Tools & Technologies
- Python
- C++
- ROS
Benefits
Other Benefits
- Additional company benefits
- Supportive research environment
Mentorship & Coaching
- Extensive experience in supervising master's theses
Learning & Development
- Training in scientific work
Startup Environment
- Close collaboration with AI & robotics experts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of AIT Austrian Institute of Technology 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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AIAIT Austrian Institute of Technology
Master Thesis “Reinforcement Learning for Multi-Log Grasping for a Forestry Crane”(m/w/x)
Wien, Seibersdorf
from 616.44 / month
Part-timeInternshipOn-site
AI/ML
Nejo AI Summary
Developing and evaluating RL-based control policies for multi-log grasping in forestry cranes. Master's studies in Robotics, Mechatronics, AI, or comparable technical field required. Supportive research environment with extensive thesis supervision experience.
Requirements
- Benchmarking approach against heuristic baseline methods
- Analysis of sim-to-real transfer challenges
- Broaden knowledge in reinforcement learning, robot simulation, and learning-based control
- Optional presentation at top robotics conference
- Master's studies in Robotics, Mechatronics, AI, or comparable technical field
- Good knowledge in state estimation and sensor fusion
- Programming experience in Python and/or C++
- ROS-knowhow is advantageous
- Good knowledge of English or German in word and writing
- Evaluating grasping success rate, cycle time, and robustness to disturbances
- Analyze sim-to-real transfer challenges and investigate mitigation strategies
- Broaden your knowledge and skills
Tasks
- Develop and evaluate RL-based control policies
- Design RL policies with reward shaping
- Implement curriculum learning strategies
- Apply domain randomization for generalization
- Test policies in physics-based simulation
- Work under guidance of researchers
Education
- Currently in higher education
Languages
- English – Advanced
- German – Advanced
Tools & Technologies
- Python
- C++
- ROS
Benefits
Other Benefits
- Additional company benefits
- Supportive research environment
Mentorship & Coaching
- Extensive experience in supervising master's theses
Learning & Development
- Training in scientific work
Startup Environment
- Close collaboration with AI & robotics experts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of AIT Austrian Institute of Technology 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
AIT Austrian Institute of Technology
Industry
Research
Description
Das AIT ist Österreichs größte Forschungs- und Technologieorganisation für angewandte Forschung, die sich auf die Lösung von Herausforderungen in Klimawandel und Digitalisierung konzentriert und einen Beitrag für Wirtschaft und Gesellschaft leistet.
Not a perfect match?
- AIT
Master Thesis "Meta Learning in Nonlineary Dynamic System Modelling"(m/w/x)
Part-timeInternshipOn-siteWienfrom 616.44 / month - AIT Austrian Institute of Technology
Master Thesis "Material Aware Inline 3D Imaging"(m/w/x)
Part-timeInternshipOn-siteWienfrom 1,027.4 / month - AIT
Masterarbeiten in der Sicherheitsforschung: insb. Anomalieerkennung, Intrusion Detection, Cyber Threat Intelligence(m/w/x)
Part-timeInternshipOn-siteWienfrom 1,349.6 / month - University of Vienna
PhD Positions in Responsible AI(m/w/x)
Part-timeOn-siteExperiencedWienfrom 3,776.1 / month - Knorr-Bremse
Student Position for Technical Documentation in Test Bench Engineering(m/w/x)
Part-timeWorking StudentOn-siteMödlingfrom 1,532 / month