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  2. PhD position on physiological wearables to detect Early Life Stress

PhD position on physiological wearables to detect Early Life Stress

You will develop tools based on wearable physiological sensors to detect Early Life Stress. This creates opportunities to reduce Early Life Stress and its adverse effects in routine preventive healthcare in the first 1000 days of life.

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Key takeaways

  • Hours
    40 hr.
  • Salary indication
    Salary gross/monthly
    based on full-time
    € 2,770 - € 3,539
  • Deadline
    19 Aug 2024

A lot of stress in the first 1,000 days from pregnancy to 2 years, can be harmful for life. Early Life Stress often goes unnoticed while it affects 1 in 8 children. The HEALS (Healthy EArly Life Start) Applied project aims to detect stress in young children early and support parents where necessary. HEALS Applied received a grant from the Netherlands National Science Agenda and entails a collaboration between several universities, knowledge institutes and partners from industry and practice.

HEALS Applied combines knowledge on co-creation and stress with the excellent Dutch preventive care during pregnancy and at consultancies, and develops new methods to detect harmful stress early. You will focus on the detection of (increased risk of) Early Life Stress. You will develop new (bio) markers of Early Life Stress obtained from wearable physiological sensors worn by parents (to be) and child and combine these with sources currently used in preventive healthcare, e.g. background, questionnaires and assessments.

You will work in close collaboration with experts from routine practice, parents (to be), and partners from industry working on advanced physiological sensors and data processing. Your work is closely entangled with the HEALS Applied work on the determinants and mechanisms of Early Life Stress and co-creation sessions.

Your profile

  • You have, or will shortly, acquire a master degree in the field of Neuroscience, Artificial Intelligence, Biomedical Engineering, Computer Science or a related field.
  • You have experience in processing and analysing physiological data.
  • You have experience in running experiments and studies with human volunteers.
  • You have excellent communication skills.
  • You are proficient in English and in Dutch.
  • You are keen to interact with end-users , experts from practice, and technology partners and engage them in a co-creation process.
  • You are willing to travel within the Netherlands to meet end-users, experts and other stakeholders.

Our offer

  •  As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment.
  • The University offers a dynamic ecosystem with enthusiastic colleagues.
  • Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU).
  • You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year).
  • There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme.
  • A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.
  • Free access to campus sports facilities.
  • A family-friendly institution that offers parental leave (both paid and unpaid).
  • You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision.
  • We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.

Information and application

Are you interested in this position? Please send your application via the 'Apply now' button below before August 19, 2024 and include:

For more information regarding this position, you are welcome to contact Prof. Jan van Erp, jan.vanerp@utwente.nl.

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About the department

Your project is grounded in both the University of Twente (Human Media Interaction group) and The Netherlands Organization for Applied Scientific Research TNO (Child Health, Leiden and Human Performance, Soesterberg).

The Human Media Interaction group does research into multimodal interaction: from brain computer interfaces to social robots. It is a multidisciplinary group in which computer science meets social science to investigate, design and evaluate novel forms of human-computer interaction, including intelligent technology for health and well-being.

TNO Child Health contributes to the healthy and safe upbringing of children. We focus on preventive youth care, with an eye to the connection between children’s physical, social and psychological problems. At the interface between prevention and cure, and concentrating on integrated care and early prevention.

TNO Human Performance works on measuring, improving and predicting physical, mental, cognitive and perceptual performance.

About the organisation

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

Want to know more?

Erp, J.B.F. van (Jan)

Erp, J.B.F. van (Jan)
Full Professor

Erp, J.B.F. van (Jan)
Full Professor

Do you have questions about this vacancy? Then you can contact Jan for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.

How to apply

Step 1

Apply.
When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.

Apply now

Step 2

Selection.
The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.

Step 3

1st interview.
The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.

Step 4

2nd interview.
In the second interview, we will further discuss the job content, your skills and your talents.

Step 5

The offer.
If the conversations are positive, you will be made a suitable offer. If applicable, we will sign you up for screening.

Your Colleagues

About the faculty EEMCS

Curious about what the faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) stands for? Check out the EEMCS website for more information.

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