PhD position in Health Technology is available at The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Denmark.
Deadline to Apply
Sept 01, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Research Area||– Electrical Engineering|
– Information Technology
– Computer Engineering
|Scholarship||“According to standard norms”|
|Workplace||The Maersk Mc-Kinney Moller Institute,|
University of Southern Denmark (SDU)
|Contract Period||3 Years|
|Starting date||Nov 01, 2021 or ASAP|
- 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
- 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
- Wireless data communication
- Matlab, Python, numPy
- Mobile app programming
- Expected to communicate scientific results in English (written and spoken) and to communicate clearly with project participants in either English or Danish.
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.
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.
How to Apply?
To apply, please click APPLY ONLINE button mentioned above.
The application must be in English and must include – the required forms must be found at the 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
About the project/department
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.
If you experience technical problems you must contact firstname.lastname@example.org.
Associate Professor Daniel Teichmann
Post expires at 8:59am on Thursday September 2nd, 2021 (GMT+9)