PhD Position in Robotic Teleoperation: SDU Robotics, part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), is offering a 3-year PhD position for the project SENSIBLE (Symbiotic tEleoperatioN for Safe and cost-efficient wInd turBine bLade maintEnance). The position requires a highly motivated candidate to work on developing stable, energy-aware teleoperation systems for wind turbine blade maintenance.
PhD Position in Safe Energy-Aware Robotic Teleoperation
Designation: PhD Fellow
Research Area: Safe Energy-Aware Robotic Teleoperation
Location: Odense, Denmark
Eligibility/Qualification:
- Master’s degree in robotics, electrical engineering, or a relevant field
- Profound knowledge in robotics, energy-based modeling, and energy-aware approaches
- Familiarity with machine learning/deep learning frameworks and tools such as TensorFlow, PyTorch, and OpenAI GYM
- Strong programming skills in C++, Python, and ROS
- Excellent written and spoken English
- Ability to work well in an interdisciplinary team and strong self-motivation
Job Description:
The successful candidate will work on the SENSIBLE project, focusing on developing energy-aware approaches for stable, safe, and reliable teleoperation systems for wind turbine blade maintenance. Research activities will include employing methods from the energy-aware robotics framework, developing safety layers for enforcing safety constraints, and exploring learning-based methods for assisting human operators in real-time.
How to Apply:
Interested candidates are advised to visit the SDU website and apply through the specified application procedure. Please ensure to include a motivated application, curriculum vitae, a short PhD research proposal, list of publications, certificates/diplomas, completed TEK PhD application form, and any additional relevant documents.
Last Date for Apply:
The application deadline is 25 September 2024 at 11.59 PM / 23.59 (CET/CEST)
| Job Opening | SDU Robotics, University of Southern Denmark (SDU) |
|---|---|
| Designation | PhD Fellow |
| Location | Odense, Denmark |
| Research Area | Safe Energy-Aware Robotic Teleoperation |
| Qualification | Master’s degree in robotics, electrical engineering, or a relevant field; Profound knowledge in robotics, energy-based modeling, and energy-aware approaches; Familiarity with machine learning/deep learning frameworks and tools such as TensorFlow, PyTorch, and OpenAI GYM; Strong programming skills in C++, Python, and ROS; Excellent written and spoken English; Ability to work well in an interdisciplinary team and strong self-motivation |
| Job Description | The candidate will work on developing stable, energy-aware teleoperation systems for wind turbine blade maintenance as part of the SENSIBLE project. |
| How to Apply | Interested candidates are advised to visit the SDU website and apply through the specified application procedure. |
| Last Date for Apply | 25 September 2024 at 11.59 PM / 23.59 (CET/CEST) |
