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Fully-funded PhD Positions in Robot Imitation Learning and Biomedical Sensing, Denmark

Fully Funded

Fully-funded PhD Positions in Robot Imitation Learning and Biomedical Sensing, Denmark

The University of Southern Denmark (SDU) is pleased to offer fully funded PhD positions within the field of Robot Imitation Learning and Biomedical Sensing. These positions, offered by SDU Robotics, present an exciting opportunity for aspiring researchers to delve into cutting-edge research and contribute to advancements in robotics and biomedical technology.

The aim of this scholarship program is to attract talented individuals who have a passion for robotics, electrical engineering, welfare technology, machine learning, or related fields. The program seeks to foster interdisciplinary collaboration and innovation by providing candidates with the opportunity to work on projects focused on robot imitation learning, control, and biomedical sensing technology.

The University of Southern Denmark (SDU) is a prestigious institution renowned for its commitment to excellence in education, research, and societal impact. Situated in the vibrant city of Odense, SDU boasts a rich academic heritage dating back to its founding. As a world-class university deeply rooted in the Region of Southern Denmark, SDU prides itself on promoting research outcomes that drive positive societal change. With a diverse range of programs spanning the arts, sciences, engineering, and health sciences, SDU offers students a dynamic learning environment characterized by innovative teaching methods and state-of-the-art facilities.

Application Deadline: 6 May 2024

Brief Description

  • University or Organization: University of Southern Denmark (SDU)
  • Department: SDU Robotics
  • Course Level: PhD
  • Award: Fully funded
  • Access Mode: Online
  • Number of Awards: One or more
  • Nationality: Open to all nationalities
  • The award can be taken in the: Denmark


  • Eligible Countries: All nationalities
  • Acceptable Course or Subjects: Any subject offered by the university
  • Admissible Criteria: Applicants must meet all the given criteria:
  • Hold a master’s degree in robotics, electrical engineering, welfare technology, machine learning, or a relevant field
  • Proficiency in areas such as robotics, programming (particularly in C++, Python and ROS), artificial intelligence, machine learning, COMSOL simulation, experiment design, and data analysis
  • Excellent English language skills (written and spoken)
  • Ability to work well in interdisciplinary teams, high self-motivation to learn, work independently, and a strong sense of responsibility.

How to Apply

  • Application Procedure: Applicants must submit a motivation letter (max. 2 pages) clearly stating their interest, qualifications, and motivation for the position, along with stating their preferred project (Project 1 or Project 2)
  • Provide a detailed Curriculum Vitae
  • Include verified copies of official bachelor and master’s diplomas and transcripts of exams, both in the original language and in professional English translation
  • Complete the TEK PhD application form for 5+3 applicants and the TEK PhD form for calculation of grade point average
  • Include an official document describing the grading scheme of the awarding universities (if not Danish)
  • Optionally, provide references, reference letters, list of publications, and examples of relevant publications
  • Submit the application before the deadline through the official recruitment portal.


Employment of a PhD fellow can only happen after the PhD School has approved the candidate for admission. Employment and enrollment will cease without further notice at the end of the period. A PhD fellow is not allowed to have any kind of sideline employment, while enrolled as PhD fellow at the faculty.

Employment as a PhD fellow is a 3-year salaried position and is governed by the Protocol on PhD Research Fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Further information about salary and conditions of employment.

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