项目介绍

2026年5月29日

SDU Robotics, part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), invites applications for one or more 3-year PhD positions, where the candidate will work on manipulation of flexible objects using industrial robots via demonstration-initialized reinforcement learning. The starting date will be agreed with the successful candidate. The workplace is at SDU’s main campus in Odense, Denmark, and the work is expected to be primarily onsite.

What we offer

• An exciting opportunity to work at the cutting edge of robotics for real-world applications.
• A collaborative and supportive work environment that encourages innovation and creativity.
• Opportunities for professional growth and leadership.
• Access to state-of-the-art technology and resources.

Project description
We are currently extending our team working on the MADE REACT project which focus on challenges within the design of robot solution for resilient high-mix low-volume manufacturing. 

The aim of this PhD project is to enable fast setup of robot manipulators to complete advanced manufacturing tasks by the use of digital models. This should be accomplished using methods such as reinforcement learning that should be initialized with information from human demonstrations. The developed method should be applied to the manipulation of flexible objects based on both visual and tactile information. The candidate will be responsible for developing detailed simulation models of both robots, sensors, and components to be assembled. In addition, the candidate should develop robust manipulation strategies and implement these in a real robot system.

Profile and requirements
The candidate will participate in SDU Robotics’ comprehensive research and teaching activities within the area of robotics. The position requires a master’s degree (equivalent to a Danish master’s degree) within a relevant robotics area or a similar field. Applicants in the final semester of their master’s programme are also encouraged to apply.

The candidate is expected to have a profound knowledge on the majority of the following topics:

• Robot control
• Reinforcement learning 
• Simulation of robot dynamics
• Deployment of learning-based solutions

Preferably, the candidate has experience with: 

• Signal processing
• Experimental design and data analysis

In addition, the candidate should:

• Demonstrate excellent written and spoken English.
• Have high self-motivation to learn. 
• Be able to work well and communicate expert knowledge in an interdisciplinary team.
• Have the ability of working independently.
• Have a strong sense of responsibility.

Research environment
SDU Robotics is a unit within the Maersk Mc-Kinney Moller Institute at the Faculty of Engineering, University of Southern Denmark (SDU). We are a team of approximately 60 employees based in Odense. We actively work across traditional disciplinary boundaries to develop new technologies and scientific knowledge. Our research contributes to novel solutions with applications in industrial automation, lab automation, welfare, and healthcare. Furthermore, the unit has a long-standing tradition of collaboration with industrial partners.

We value teamwork, professional diligence, enthusiasm for robotics and the drive to adopt new skills and extended responsibilities. We offer an open, international working environment with flexible work organization and support for individual development.

We look forward to receiving your application and to supporting your growth as a researcher within the field of robotics.  

Further information
Please visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics. 

Further information about this position is available via email from Professor Henrik Gordon Petersen hgp@mmmi.sdu.dk or Professor Christoffer Sloth chsl@mmmi.sdu.dk. 

If you experience technical problems, please contact our email support.

Further information for international applicants about entering and working in Denmark. You may also visit WorkinDenmark for additional information.

Further information about The Faculty of Engineering.

ODENSE
As the 3rd largest city in Denmark, Odense provides the perfect combination of a historic city center with an urban field yet a close proximity to beaches and recreational areas. Its location on the beautiful island of Funen is ideal with easy access by train or highway to the bigger cities of Aarhus and Copenhagen; direct trains can take you straight to Copenhagen airport in less than 2 hours. Since 1966 the city has been a university town, and strong collaborative ties are in place between the University of Southern Denmark and the many Danish and International corporations in the region. As the birthplace of Hans Christian Andersen, Denmark’s famous fairytale author, the city is home to a vibrant and creative population that hosts numerous festivals and markets throughout the year.

Application 
Before applying the candidates are advised to read the Faculty information for prospective PhD students and the SDU information on how to apply.

The application deadline is June 10, 2026, at 11:59 PM/23:59 (CET/CEST) 

Assessment of candidates is based on the application material, and the application must include: 

• Motivation letter stating your specific interest, motivation and qualifications for the position (max. 2 pages). 
• Detailed Curriculum Vitae including personal contact information.
• Master’s and Bachelor’s degree certificates or equivalent, including transcripts of grades (original and an official English translation). Applicants in the final semester of their master’s programme are requested to submit transcripts from all completed semesters. 
• Completed TEK PhD application form for 5+3 applicants. Find the form at the Faculty website.
• Completed TEK PhD form for calculation grade point average. Find the form at the Faculty website. 
• An official document describing the grading scheme of the awarding universities (if not Danish). 
• Only for applicants from programmes that evaluate thesis/examination project by approved/not approved: An official written assessment of the thesis or dissertation project from the grade giving institution. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme.
• List of publications and maximum 2 examples of relevant publications (in case you have any publications).
• References may be included, you’re welcome to use the form for reference letter at the Faculty website.
• A statement/documentation of other qualifications relevant to the position may also be included.

All documents must be in English and PDF format. CPR number (civil registration number) must be crossed out. All PDF-files must be unlocked, allow binding and may not be password protected. 

SUBMISSION GUIDE: Motivated application must be uploaded under ‘Cover letter’ (max. 5 MB), Curriculum Vitae must be uploaded under ‘Resume’ (max 5 MB). All other documents must be uploaded under ‘Miscellaneous documents’ (max 10 files with a maximum 50 MB per file).