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International PhD Position in Safe Energy-Aware Robotic Teleoperation, Denmark

The University of Southern Denmark (SDU) is offering International PhD Position in Safe Energy-Aware Robotic Teleoperation for the academic session 2024/2025.

Applicants from all countries are eligible to apply. Candidates must hold a master’s degree in robotics, electrical engineering, or a related field. They should have expertise in robotics, including kinematics, dynamics, and control, along with experience in machine learning frameworks like TensorFlow or PyTorch. Proficiency in programming languages such as C++, Python, and ROS is required, and familiarity with energy-based modeling is advantageous.

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The University of Southern Denmark (SDU), established in 1998 through the merger of several institutions, is located primarily in Odense and has additional campuses in Slagelse, Kolding, Esbjerg, and Sønderborg. With approximately 32,000 students, of whom over 15% are international, SDU is recognized for its strong emphasis on research and collaboration with regional industries.

Application Deadline: 9 September 2024

Brief Description

  • University or Organization: University of Southern Denmark (SDU)
  • Department: SDU Robotics, Maersk Mc-Kinney Moller Institute
  • Course Level: PhD
  • Award: Monthly gross salary incl. pension of 35.707DKR
  • Access Mode: Online
  • Number of Awards: One or more
  • Nationality: Domestic and International students
  • The award can be taken in: Denmark

Eligibility

  • Eligible Countries: Open to applicants from all countries
  • Acceptable Course or Subjects: The scholarship will be awarded in any subject related to robotics, energy-aware teleoperation, and control systems, offered by the University of Southern Denmark (SDU)
  • Admissible Criteria:
    To be eligible, applicants must meet the following criteria:

    • Hold a master’s degree in robotics, electrical engineering, or a related field
    • Have experience with robotics, including kinematics, dynamics, and control
    • Possess skills in machine learning/deep learning frameworks like TensorFlow or PyTorch
    • Proficiency in programming languages such as C++, Python, and ROS
    • Familiarity with energy-based modeling is considered a plus
    • Demonstrate strong motivation, responsibility, and ability to work independently
    • Excellent command of English, both written and spoken.

How to Apply

Applicants are advised to include the following documents in English:

  • Motivated application
  • Curriculum Vitae
  • PhD research proposal
  • List of publications
  • Transcripts of degrees (bachelor’s and master’s)
  • Completed PhD application forms
  • Reference letters (optional)

Benefits

The position offers a 3-year salaried PhD fellowship, with a competitive monthly salary, including pension. Depending on postgraduate experience, candidates may receive a higher salary step. The selected candidates will also benefit from a vibrant research environment and close collaboration with industry partners like Universal Robots, LEGO, and Novo Nordisk.

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