Research Assistant Positions within Medical Robotics and Biomedical Sensing

SDU Robotics, part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), invites applications for several fully funded 1-year Research Assistant positions, where the candidate will work on a project within the area of medical A, robotics, and sensing technology. The starting date is October 1, 2025, or as soon as possible thereafter and 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.

The application deadline is August 20, 2025, at 11.59 PM/23.59 (CET/CEST) 

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 the team working on the AirCare project which focuses on robotics, biomedical sensor and AI algorithm for cancer diagnosis.

This project aims to develop a miniaturized robot and bio-sensor for on-site laryngeal cancer diagnosis. The candidate can contribute to one of the following topics:

• Electrical Bio-Impedance sensor development
• AI based signal processing 
• Wearable sensor 
• Algorithms
• Design and control of a miniaturized continuum robot

Profile and requirements

The candidate will participate in SDU Robotics’ comprehensive research and teaching activities within the areas of medical robotics, advanced user interaction, AI algorithms and biomedical sensing. The position requires a master’s degree within robotics, electrical engineering, welfare technology, machine learning, or a similar area. The candidate is expected to have a profound knowledge on the majority of the following topics:

• Analog signal processing and circuitry
• Programming skills (particularly in C++, Python and ROS)
• Algorithms (statistical analysis)
• Electrode-tissue interface modeling
• Robotics (e.g., mechatronics, modelling, kinematics, dynamics and control)
• Experimental design and data analysis

Preferably, the candidate has experience with: 

• Artificial Intelligence 
• Impedance sensing circuit and DSP 
• Experimental design and data analysis

Furthermore, the successful candidate is expected to:

• Have excellent knowledge of English (written and spoken).
• 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
The candidate will be integrated in the section SDU Robotics, which is at the core of the Odense Robotics Cluster involving Universal Robots, Mobile Industrial Robots (MIR) and 120+ other companies. We are a team of appr. 60 researchers and engineers specialized in research and development of robot solutions within the medical, welfare and industrial domain. 

SDU Robotics is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems derived from real-life challenges by implementing novel robot solutions together with end users as national hospitals, Universal Robots, LEGO and Novo Nordisk.

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

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

Further information about this position is available via email from Zhuoqi Cheng (zch@mmmi.sdu.dk).

If you experience technical problems, please contact hcm-support@sdu.dk. 

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 procedure
Applicants are advised to read the SDU information on how to apply.

The application deadline is August 20, 2025, at 11.59 PM/23.59 (CET/CEST) 

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

• Motivated application stating your specific interest, motivation and qualifications for the project in question (max. 2 pages).
• Detailed Curriculum Vitae including personal contact information.
• Master’s and bachelor’s degree certificates or equivalent, including transcripts of grades (copy of original/official English translation).  
• Complete list of publications, if you have any.
• Publications most relevant for the position (max. 2).
• Information on teaching experience may be included, if relevant.
• A research statement may be included, if relevant.
• References/reference letters may also be included.
• A statement/documentation of other qualifications relevant to the position may also be included.

All files must be in English and must be in PDF format. All files must be unlocked and allow binding and may not be password protected. Documents should not contain a CPR number (civil registration number) – in this case, the CPR number must be crossed out.

UPLOAD GUIDE: Motivated application shall be uploaded as ‘Cover letter’ (max. 5 MB), Curriculum Vitae shall be uploaded as ‘Resume’ (max 5 MB). All other documents shall be uploaded as ‘Miscellaneous documents’ (max 10 files of max 50 MB per file). 

If you experience technical problems, you must contact hcm-support@sdu.dk.

The University of Southern Denmark wishes our staff to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position.

Assessment and selection process
Applications will be assessed by an assessment committee. Shortlisting may be applied, and only shortlisted candidates will receive a written assessment. Read about shortlisting at SDU.  Interviews and tests may be part of the overall evaluation.

Conditions of employment
The employment as research assistant is temporary and will cease without further notice at the end of the period. The position is for a 1-year period with the possibility of extension. The starting date is 01.10.2025 or as soon as possible thereafter and 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.

Employment as a research assistant requires qualifications at minimum master’s level at the time of employment. Employment will be in accordance with the collective agreement between the Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state with the associated circular on the protocol for the job structure for academic staff at Danish universities and the provisions for research assistant as described herein. Further information on salary and taxation. 

People employed in the position may, based on a specific individual managerial assessment, be exempted from time registration, also known as a self-organiser.

SDU conducts research in critical technologies, which, due to the risk of unwanted knowledge transfer, are subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position.