PhD in signal processing for inpatient obstetric patient monitoring

PhD in signal processing for inpatient obstetric patient monitoring

Published Deadline Location
7 Oct today Amsterdam
We are looking for a PhD candidate to develop deep learning models for the analysis of cardiotocography signals in pregnant women with foetal growth restriction

Job description

In pregnancies that are complicated by fetal growth restriction in early pregnancy (before 32 weeks of gestation) the biggest challenge is to identify the right timing of birth. As late as possible to allow as much maturation as possible; but before hypoxia occurs that can cause fetal death or adverse neurological outcomes. The predominant method currently available is the fetal heart rate tracing, that can show obvious signs of fetal hypoxia: loss of heart rate variability and spontaneous decelerations.

Within the FGR PODS project (see www.fetalgrowthrestriction.com) you will explore if a new technique (foetal electrocardiography (fECG) can identify new patterns that may improve our timing of birth. The fECG (foetal electrocardiography (fECG) is a recent innovation that isolates the electric signal of the fetal heart, at a much-increased level of detail in comparison with the traditional Doppler method. We expect fECG will provide more useful information about cardiac function and hypoxia than the traditional Doppler method.
  • You will leverage existing datasets that are collected with both conventional as well as with fECG in various hospitalized environments.
  • Also, you will be instrumental in the international clinical study SAVE FGR that is integral to the FGR PODS program, in which data are prospectively collected and in which you will analyze the relationship of fECG to adverse outcomes at the greatest level of detail possible.
  • Since it is a new field of research, there is ample room for your own initiatives.
  • You will report your analyses in written manuscripts, presentations at relevant conferences and your work will culminate in a PhD-thesis.

Specifications

Amsterdam UMC

Requirements

  • A master’s degree in Electrical Engineering (or an equivalent university degree).
  • A research oriented attitude.
  • A strong affinity with (patho)physiology, signal processing, and artificial intelligence.
  • Ability to work in a team and interested in collaborating with the clinical and industrial partners.
  • Capability to coordinate your own research and interact with various disciplines and levels of expertise.
  • Fluent in spoken and written English.

Conditions of employment

  • A flying start to your career in scientific research.
  • Plenty of room for your drive to shape tomorrow's healthcare.
  • Working on large-scale and in-house research, with motivated colleagues from all over the world.
  • A contract for 12 months (extension possible for another three years; 36 months). The position is for 4 years.
  • Salary scale OIO: € 3.017 gross in the first year to € 3.824 gross in the final (fourth) year and a year-end bonus of 8.3%. Calculate your net salary here.
  • Holiday hours: 186,4 per year for fulltime and a possibility to save additional hours.
  • Pension accrual with BeFrank, a modern, comprehensible and fairly priced pension.
  • For >7 km each way, 100% reimbursement for public transport travel costs and, for private transport, €0.18 per km up to a maximum of 40 km each way.
  • Do you prefer walking or cycling? Take advantage of our good bike scheme. Moreover, you will receive a reimbursement of €0.18 per km.

Watch this video with more information about joining Amsterdam UMC Research BV.

Employer

Amsterdam UMC

You will join the team at Amsterdam UMC and TU Eindhoven. A public-private collaboration with NEMO Healthcare is also present. The lead investigators, post-docs and PhD’s in the team have a variable background: medicine biomedical, AI, engineering. Your work location is split between Amsterdam and Eindhoven.

You will be part of the team of the researchline, with more PhD’s on different aspects of foetal growth restriction. In the team, personal and professional interactions are important, and educational meetings including journal clubs are organized on a regular basis. We hope that you will appreciate the open, relaxed, humorous atmosphere in which we also work hard to collaboratively solve our challenges.

Amsterdam UMC Research BV supports non-profit scientific research. In doing so, we provide researchers with everything they need to excel. Our principal investigators (PIs) and project leaders offer support in the field of project management, finance and human resources. In medical scientific research projects, legal support is also provided.

Watch the video to find out more.

Additional information

During the publication period, applications will be handled continuously. If the vacancy is filled, it will be closed prematurely.

If you have any questions about this position, please feel free to contact Dr. W. Ganzevoort, associate professor, via j.w.ganzevoort@amsterdamumc.nl, or Dr.ir. R. Vullings, Associate Professor, via r.vullings@tue.nl.

For more information about the application procedure, please contact Rhiannon Sandfort, Recruitment advisor, via r.e.sandfort@amsterdamumc.nl.

A reference check, screening and hiring test may be part of the procedure. Read here whether that applies to you. If you join us, we ask you for a VOG (Certificate of Good Conduct).

Internal candidates will be given priority over external candidates in case of equal suitability.

Acquisition in response to this vacancy is not appreciated.

Specifications

  • PhD
  • Engineering; Health
  • max. 32 hours per week
  • €3017—€3824 per month
  • University graduate
  • 13033

Employer

Location

Meibergdreef 9, 1105AZ, Amsterdam

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Application procedure

Application procedure

Make sure to apply no later than 20 Oct 2024 23:59 (Europe/Amsterdam).