MSCA PhD candidate in remote monitoring of young children with heart disease

UMC Utrecht/Wilhelmina Children's Hospital Utrecht is a leading research institution in early detection of vital abnormalities with remote monitoring. We are dedicated to improve the quality of life for children with congenital heart disease.

Dit ga je doen

Within the prestigious Marie Sklodowska-Curie Actions (MSCA) DN SMARTTEST program, we offer a unique international collaboration and supportive environment for the next generation of researchers. As part of a dynamic and multidisciplinary team, you will contribute to groundbreaking research aimed at enabling new remote monitoring options for young children with congenital heart disease and their parents, helping to shape their future.

We are seeking a highly motivated PhD candidate to join our research team within the SMARTTEST - MSCA DN TMA European Doctoral Network for Resilient Remote Healthcare using Intelligent Sensing and Communication Technologies.

SMARTTEST offers 11 PhD positions with the goal of training a future generation of engineers that are capable of bridging advanced wireless technologies and radio signal processing, biomedical signal analytics and health monitoring to maximize the effectiveness of personalized healthcare. UMC Utrecht/Wilhelmina Children’s Hospital hosts PhD D07 on Early detection of abnormalities in young children with congenital heart disease. This PhD candidate combines clinical-physiological and technical analytic knowledge and skills. This PhD candidate will use physiological data repositories to customize the monitoring system for children with CHD by developing self-adaptive early-detection method for progressive hypoxia, tachypnoea, growth restriction and stagnated development utilizing both data and biophysics theory for daily home monitoring. Alongside user expectations (family and doctor) for remote health monitoring. 

Hier ga je werken

What makes working at UMC Utrecht exceptional? Everything is about people. The Department of Anesthesiology and Center for Congenital Heart Disease host the PhD candidate at the Wilhelmina Children's Hospital in close collaboration with Biomedical Signals and Systems Research Group at University of Twente. We believe that resilient remote healthcare technologies will also contribute to our collaborative research aims to improve long term cardiovascular and neurodevelopmental outcome in patients with congenital heart disease. You will work in a clinical environment, in close contact with clinicians, nurses, parents, patients and fellow researchers. You will need to translate clinical observations, demands and challenges into data science solutions. 

Dit neem je mee

• You are expected to graduate or hold a master's degree in biomedical- or medical engineering, data science, biostatistical engineering or equivalent.
• You are proficient in English (IELTS-test showing a total band score of at least 6.5, TOEFL test (TOEFL-iBT) showing a score of at least 90, or a Cambridge CAE-C (CPE).
• You are required to undertake trans-national mobility (i.e., move from one country to another): At the time of selection by the UMCU, you must not have resided or carried out work, studies, etc. in the Netherlands for more than 12 months in the 3 years immediately prior to recruitment.
• You have demonstrable qualities to work in a multidisciplinary health care team and preferably also exhibit experience with human measurements or data collection.
• You have demonstrable experience in time series analyses or equivalent modelling techniques.
• You comply with European Union MSCA requirements for this doctoral network that can be assessed here: Overview | Recruitment | HOME
• You have a good team spirit and like to work in an interdisciplinary and internationally oriented environment. 

Dit bieden we jou

• A salary between € 3.017 and € 3.824 gross per month (salary scale OIO), based on
  full-time employment (36 hours).
• Year-end bonus of 8.3% and holiday allowance of 8%.
• Possibilities to develop yourself personally and professionally.