BEMÆRK: Ansøgningsfristen er overskredet
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position is available from 15 December 2023 or later. You can submit your application via the link under 'how to apply'.
Title:
Using Automated Self-Measurement Stations and Telemonitoring Technology for Optimizing Quality and Clinical Staff Resources in Hospitals and Clinics
Research area and project description:
The PhD project aims to improve the quality, efficiency, and cost effectiveness of self-measurement stations in the hospital setting, as well as in the home setting using telemonitoring, telehealth, and telemedicine using sensor-driven decision support & coaching systems. The project involves a series of case studies: 1) screening & telemonitoring of pregnancy related diseases, 2) screening & home monitoring of elderly patients in risk of stroke, 3) telemonitoring of heart & kidney failure & epilepsy patients.
For all of these case studies, extensive screening & long-term home monitoring programs have been shown to reduce disease impact. However, the cost of introducing such programs, especially with regard to staff resources, are preventing the hospitals from adapting them. This project will automate the data collection & decision support processes through sensor-based self-measurement stations & home telemonitoring technology combined with advanced decision support tools based on machine learning & deep learning technologies which will support screening, digital coaching, and home telemonitoring services. For case study 1 alone, this holds the potential to reduce the impact of hypertensive disorders, a group of diseases which annually causes the death for half a million women worldwide & reduces quality of life for up to 10% of all pregnancies, by working in close collaboration with our clinical partners at Aarhus University Hospital.
Main objectives:
- Develop novel information & communication technology (ICT)-based digital screening & monitoring support tools.
- Validate the tools in a clinical randomized control trial to ensure the safety, practicality, and efficiency of the tools with a special focus on reducing staff involvement through automated systems.
Hypotheses:
Automated self-measurements stations, telemonitoring, telehealth, and telemedicine systems:
- can replace manual clinical staff work tasks during screening operations at hospitals.
- are feasible & cost-effective to introduce to screening program at Danish hospitals.
- provides improved quality compared to staff guided measurements & manual reporting.
- provides improved quality compared to patients self-measuring & self-reporting.
- are acceptable to both patients, relatives, and clinical staff.
- can provide improved hygiene through relevant sensors & actuators.
- can provide improved adherence & compliance for measurements, medication, and physical activity.
Project description. For technical reasons, you must upload a project description. Please simply copy the project description above, and upload it as a PDF in the application.
Qualifications and specific competences:
Applicants must have a master of science degree in Biomedical Engineering (120 ECTS) and at least a bachelor degree in Nursing. Also, the applicant must have worked as a nurse at a Danish Hospital, must have participated in structured data collection during a research project, and must be fluent in Danish in writing and orally. This is due to the planned data collection at major Danish hospital sites which will require a nursing background and experience with the handling of fragile and vulnerable patient groups. It is a major advantage if the applicant has published technical academic papers in collaboration with clinical staff. It is a major advantage if the applicant has worked with women with complicated pregnancies. It is a major advantage if the participant has attended an advanced master level course on Telemedicine.
Place of employment and place of work:
The place of employment is Aarhus University, and the place of work is Biomedical Engineering Section, Finlandsgade 22, 8200 Aarhus N, Denmark.
Contacts:
Applicants seeking further information are invited to contact Associate Professor Stefan Rahr Wagner, sw@eng.au.dk (main supervisor).
How to apply:
Please follow this link to submit your application. Application deadline is 18 October 2023 at 23:59 CEST. Preferred starting date is 15 December 2023.
For information about application requirements and mandatory attachments, please see our application guide.
Please note:
- The programme committee may request further information or invite the applicant to attend an interview.
- Shortlisting will be used, which means that the evaluation committee only will evaluate the most relevant applications.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Aarhus Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Aarhus Universitet, Nordre Ringgade, 8000 Aarhus C
-Ansøgning:
Ansøgningsfrist: 18-10-2023; - ansøgningsfristen er overskredet
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5921027