PhD positions in Health Technology at University of Southern Denmark

The Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), in Odense invites applications for fully-funded positions as PhD fellow in Health informatics and technology. The positions are available starting 1st of November 2021 or as soon as possible thereafter. The application deadline is 1st of September 2021.
SDU Health Informatics and Technology (HIT) strive to develop novel and ready to deploy technical solutions in a transdisciplinary manner. SDU HIT has a large portfolio of transdisciplinary projects involving numerous partners from healthcare, academia, industry and network organizations.
PhD project description
In the motivation letter, the applicant has to state the project number of the PhD project the applicant applies for. If the applicant wants to apply for more than one project, the applicant has to provide a prioritized list.
Project 1
This project will explore novel methods for unobtrusive health monitoring of elderly people living in their domestic environment. A special focus will be set on nutrition monitoring. The candidate will develop suitable sensor devices, explore novel measurement scenarios and work on methods for smart sensor and signal fusion.
Project 2
This project will explore techniques for the prediction and monitoring of decubitus ulcer:
The risk of developing decubitus ulcer could be determined, and hence significantly reduced, by monitoring the respective tissue area at risk by sensor technology, e.g. the measurement of pressure, pressure localization, humidity, and skin perfusion. Furthermore, literature provides a solid foundation that Infrared Thermography (IRT) and Bioimpedance spectroscopy (BIS) of body areas with early pressure ulcers (stage I and stage II) carry information on deep tissues that are invisible to clinicians.
In the course of the project, a clinical study will be conducted and an in-silico tissue model will be developed. The acquired clinical data and simulation results will be used to identify such sensor signals that are suitable indicators for decubitus prediction. Based on these findings, a decubitus ulcer prediction algorithm will be proposed. This algorithm will incorporate information extraction as well as information fusion and could be based on data-driven methodologies or model assumptions.
The candidate will also be responsible for setting-up the measurement equipment.
What we offer
The PhD fellow will be part of a trans-disciplinary team dedicated to developing health technology that improves the treatment, safety and/or comfort of patients and citizens
We offer a challenging and innovative position, in an international, stimulating and highly interdisciplinary environment that forge new research by crossing the traditionally separate domains of engineering-, health- and humanistic research, for the benefit of the users and society as a whole.
The Maersk Mc-Kinney Moller Institute is an internationally recognized research department with strong research units in robotics, drones, artificial intelligence, software engineering, energy informatics, and health informatics and technology.
SDU HIT possess various competences including embedded systems, participatory design, acoustics, innovation management, software engineering, and data analytics. These competences are currently being deployed in areas such as training robots, audiology, telemedicine/eHealth/mHealth, clinical decision support, and healthcare ecosystem modeling.
Denmark is known to be a great place to live and work. There is a high quality of life in and around Odense, and at SDU we value a well-functioning work-life balance. More information about the benefits may be found here.
What we expect
You have a master’s degree (equivalent to a Danish master's degree) in Electrical Engineering, Information Technology, Computer Engineering or similar, where:
You have formal qualifications in the development and implementation of the following items:
Project 1 (at least one)

  • Electronic circuits
  • Embedded systems
  • Signal processing
Project 2 (at least two)
  • Image processing
  • Bioimpedance Analysis
  • Optoelectronics
  • Electronic circuit development and testing
  • Signal processing
  • Data-driven/classification algorithms
  • Modelling and Simulation
combined with an interest to apply this to bodily interaction and clinical settings.
Knowledge, experience and skills in the following – or related – topics will be considered benefits:
  • Biosignal acquisition
  • Physiology
  • Wireless data communication
  • Matlab, Python, numPy
  • Mobile app programming
As a PhD student you are expected to communicate scientific results in English (written and spoken) and to communicate clearly with project participants in either English or Danish.
Contact information
Further information about this position is available from Associate Professor Daniel Teichmann at email:
If you experience technical problems you must contact
Conditions of employment
Applicants are required to have a master’s degree (equivalent to a Danish master's degree) at the time of enrollment and employment. Employment as a PhD fellow is a 3-year salaried position (start salary amounts to approx. 3.378,- EURO per month incl. supplements).
Employment of a PhD fellow can only happen after the Head of the PhD School has approved the candidate for admission to the PhD school. 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 is governed by the Protocol on PhD Research Fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Please check links for more information on salary and taxation.
The successful candidate will be enrolled at SDU in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order), read more here.
The assessment process
Read about the Assessment and selection process. Shortlisting may be used.
Application procedure
The Faculty expects applicants to read the Faculty information for prospective PhD students and How to apply before applying.
The application must be in English and must include - the required forms must be found at the above mentioned Faculty website:
  • Completed TEK PhD application form for 5+3 applicants.
  • Motivation letter stating your specific interest, motivation and qualifications for the project in question (max. 2 pages). Remember to state the project number of the PhD project the applicant applies for, see above. Upload in the field called “Project description”.
  • Detailed Curriculum Vitae, describing research, publication and teaching experience, computational skills and including personal contact information.
  • A short PhD research proposal (maximum five pages including references). Upload in the field called “Other relevant material”.
  • Verified copies of the official bachelor diploma and master's diploma and transcripts of exams, both original and translated into English.
  • Completed TEK PhD form for calculation grade point average. Upload in one of the fields called “Publication”.
  • An official document describing the grading scheme of the awarding universities (if not Danish). Upload in one of the fields called “Publication”.
  • An official and verified written assessment of the thesis or dissertation project from the grade giving institution, if the thesis/examination project is evaluated by approved/passed. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme.
  • References, if any. You're welcome to use the form for reference letter at the Faculty website.
  • List of publications and maximum 2 examples of relevant publications, if available. Please attach one pdf-file for each publication.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Odense

Remember to mention that you found this position on NMBU CareerGate