Your challenge

Do you hold a Master’s degree in Artificial Intelligence, Computer Science, Medical Informatics or a related field and do you have an interest in healthcare? Do you have interest in both the development and the actual application of smart algorithms that are useful in daily care? We then invite you to apply for the position of PhD-student machine learning and health, a joint position of the Computer Science Department of the VU University and the department of Obstetrics & Gynaecology at the Amsterdam UMC.

We are offering a position for a PhD student for the Health~Holland funded COCOON project on predicting preterm birth in symptomatic pregnant women. This project is a unique collaboration between the Amsterdam UMC department of Obstetrics & Gynaecology and the VU University Computer Science faculty, and aims to refine the prediction of near future preterm birth in pregnant women who experience contractions, through combining standard clinical measurements and electrohysterographic data by means of techniques from the domain of machine learning. Half of women with suspected preterm birth who are admitted to the hospital and receive additional drug therapy, deliver at term. This means the current ways to detect preterm birth are insufficient, requiring a new research approach to refine this prediction. Combining new electrohysterographic data with already used clinical measures into a predictive model using machine learning could be the key in reducing false preterm labor predictions. In this PhD project we aim to develop an AI-based method that allows clinicians to more accurately predict preterm birth in symptomatic pregnant women. This will result in a reduction of the number of women who are unnecessarily admitted to hospital.

Your profile

We are looking for an highly motivated and independent MSc postgraduate in Artificial Intelligence, Biomedical engineering, Business Analytics, Computer Science, Medical Informatics, Medical Physics, or closely related fields, with demonstrable interest in Medicine or Health Sciences.

In addition you meet the following requirements:

  • Good communication skills in Dutch as well as English;
  • Computer programming skills;
  • Able to work in an interdisciplinary team of medical doctors and engineers;
  • Experience with machine learning and deep learning is an advantage.

Your work environment

The Amsterdam UMC is one of the largest hospitals in the country and one of the foremost research institutes. The department of Obstetrics & Gynaecology and the Faculty of Computer Science individually participate in numerous international research projects and studies. This PhD project will be embedded primarily in the department of Obstetrics & Gynaecology. Here, the PhD student will be supervised by doctor Petra Bakker, gynaecologist and doctor Anna Rietveld, gynaecologist in training. Dr. Bakker and dr. Rietveld are experienced clinical researchers with a special interest in incorporating artificial intelligence in medical research and clinical applications in obstetrics.
The position will be linked to the Computer Science Department at the Vrije Universiteit Amsterdam, having a large research cluster devoted to the development and usage of AI techniques for health and wellbeing. From the AI side, dr. Mark Hoogendoorn, who is specialized in machine learning for health and wellbeing will be involved in the supervision of the PhD student.

Working at Amsterdam UMC means working in an inspiring and professional environment where development is encouraged in every respect. We offer you ample opportunity for development, deepening and broadening, additional training and a place to grow!

We offer

Salary Scale PHD: 2495 tot 3196 euro gross when employed full-time (depending on qualifications and experience).

In addition we offer:

  • Additional benefits include an 8.3% end-of-year bonus and 8% holiday pay.
  • Pension is accrued at the ABP. VUmc contributes a large part of the premium (70%).
  • In addition to excellent accessibility by public transport, we reimburse 75% of your OV travel costs (commuting costs).
  • We also provide you with the opportunity to follow further training and development.

For more information about our employment conditions, please visit our website.

For Dutch citizens it is mandatory to provide a VOG (Verklaring Omtrent Gedrag).

Additional information

The first interviews are scheduled for the first week of September 2020. The preferd starting date for this position is January 1th 2021.

Information and application

Don’t hesitate to call us!
If you’re interested about this position, you can contact Prof. dr. C.J.M. de Groot, or Dr. A.L. Rietveld, via telephone number 020 444 2227.
If you need more information about the application procedure, contact Brend de Jong, corporate recruiter at 020 444 8704.

You can apply till 30 August 2020 by using the apply button.

Acquisition based on this vacancy is not appreciated.