Vacancies 98882-PhD-candidate-Integrating-biology-and-behaviour-for-precision-stratification-of-mental-disorde

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About the position

  • 36 hours per week
  • Temporary
  • 4 years
  • Salary scale 10A
  • min € 2495 - max € 3196 gross per month for full-time employment
  • Deadline: 9 July 2021

#weareradboudumc, what about you?


Job description

We are inviting applications for two talented PhD candidates to work on a translational project bridging the gap between machine learning, neuroscience and clinical psychiatry. The project focuses on developing advanced statistical and machine learning methods for the analysis of clinical...

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Job description

We are inviting applications for two talented PhD candidates to work on a translational project bridging the gap between machine learning, neuroscience and clinical psychiatry. The project focuses on developing advanced statistical and machine learning methods for the analysis of clinical neuroimaging data and digital phenotyping data derived from smartphone monitoring.

The project will be hosted at the Cognitive Neuroscience department at the Donders Institute for Brain, Cognition and Behavior at Radboud University Medical Center under the supervision of Dr. Andre Marquand. The successful candidate will be embedded within the Statistical Imaging Neuroscience research group, headed by Prof. Christian Beckmann as well as being part of a wider academic research environment at the Donders Institute. The positions are for 48 months and should begin before the end of 2021.
 
The primary focus of this project is to develop statistical and machine learning approaches for understanding inter-individual variation in biomarkers derived from magnetic resonance imaging (MRI) data, and from measurements derived from smartphone monitoring data (‘digital phenotyping’) which provides objective measurements of behaviour. This will build on the normative modelling (‘brain growth charting’) approaches we have pioneered for this purpose and will also involve developing automated statistical tools to analyse digital phenotyping measures. Finally, we will combine these measures to predict resilience and risk in mood disorders (bipolar disorder and depression) by applying these models to richly phenotyped clinical samples acquired in the Netherlands and via our international collaborations. The goal is to make predictions about the future course of mood disorders (e.g. which subjects will have a favourable trajectory and which subjects are likely to have future episodes of mental disorders).
 
The PhD positions will focus on methodological development, the application of these methods to clinical cohorts and will involve a data acquisition component (digital phenotyping and MRI). The project is highly interdisciplinary, has a clear translational focus and integrates machine learning and statistics with cognitive neuroimaging and clinical neuroscience.

Tasks and responsibilities

  • Discuss, plan and perform research in a stimulating environment.
  • Develop statistical approaches for data analysis from fundamental principles.
  • Apply these statistical models to large-scale population cohorts.
  • Interpret findings in the light of clinical knowledge.
  • Publish findings in peer-reviewed journals and present at international scientific conferences.
  • Produce software tools to enable for the use of the wider scientific community.
  • Finalize PhD training and project within a four-year contract.
  • Work in an interdisciplinary team of international scientists.


Department

You will work in the Cognitive Neuroscience ( CNS ) department of the Donders Institute of Brain, Cognition and Behavior in Nijmegen. The department for cognitive neuroscience aims to understand the development and function of the nervous system in health and disease with a special focus on...

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Department

You will work in the Cognitive Neuroscience (CNS) department of the Donders Institute of Brain, Cognition and Behavior in Nijmegen. The department for cognitive neuroscience aims to understand the development and function of the nervous system in health and disease with a special focus on neurodevelopmental, stress related and sensory disorders.

Research Institutes
At the moment there are more than 1,300 PhD candidates at our medical hospital. This number includes PhD candidates on our pay roll as well as external candidates (those employed somewhere else but researching on our premises).

  • Radboud Institute for Health Sciences: ± 700
  • Radboud Institute for Molecular Life Sciences: ± 400
  • Donders Center for Medical Neurosciences: ± 200
Read what it is like to do a PhD at the Radboud University Medical Center.

Radboudumc
Radboud university medical center is a university medical center for patient care, scientific research, and education in Nijmegen. Radboud university medical center strives to be at the forefront of shaping the healthcare of the future. We do this in a person-centered and innovative way, and in close collaboration with our network. We want to have a significant impact on healthcare. We want to improve with each passing day, continuously working towards better healthcare, research, and education. And gaining a better understanding of how diseases arise and how we can prevent, treat, and cure them, day in and day out. This way, every patient always receives the best healthcare, now and in the future. Because that is why we do what we do.

Read more about our strategy and what working at Radboud university medical center means. Our colleagues would be happy to tell you about it. #weareradboudumc


Profile

We are looking for highly self-motivated candidates who are curious and enthusiastic about scientific research and who will work together with others in our labs and in the institute to solve problems and contribute to high-quality neuroscience investigations.

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Profile

We are looking for highly self-motivated candidates who are curious and enthusiastic about scientific research and who will work together with others in our labs and in the institute to solve problems and contribute to high-quality neuroscience investigations.

Mandatory skills/training:

  • Completion of undergraduate and master’s level degrees in a numerate discipline such as statistics, computer science, engineering, cognitive neuroscience / psychology or other relevant field of study.
  • Proficiency in programming in languages such as Python, MATLAB, R or C++.
  • A proactive attitude, good written and oral communication skills, and be able to work effectively in an interdisciplinary team.
Desirable skills/training:
  • Experience with neuroimaging data analysis techniques and software (e.g. SPM, FSL, FreeSurfer).
  • Experience with acquisition of MRI data would be a bonus.
  • A demonstrable academic track-record would be a plus (e.g. publications in international journals).
  • An interest in clinical applications of machine learning.
  • Experience in biological or theoretical neuroscience.

Let's meet


Terms of employment

Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. But there is more. Our secondary terms of employment are impressive. These are fully tailored to you thanks to our Employment Conditions Selection Model. At...

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Terms of employment

Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. But there is more. Our secondary terms of employment are impressive. These are fully tailored to you thanks to our Employment Conditions Selection Model. At Radboud university medical center, you will be given trust, and you will take the responsibility to handle everything together. We provide annual courses, both professional and personal.

  • In addition to your monthly salary and an annual vacation allowance of 8%, you will receive an end-of-year bonus of 8.3%.
  • If you work irregular hours, you will receive an allowance.
  • As a full-time employee (36 hours per week), you are entitled to approximately 168 vacation hours (over 23 days) per year.
  • Radboud university medical center pays 70% of the pension premium. You pay the rest of the premium with your gross salary.
  • You get a discount on health insurance as well: you can take advantage of two group health insurance plans. UMC Zorgverzekering and CZ collectief.
 
In addition to our terms of employment, we also offer employees various other attractive facilities, such as childcare and sports facilities. Want to learn more? Take a look at the Cao UMC.


Application procedure

We would like to receive your application before 9 July 2021. We will then contact you shortly. Qualified applicants are requested to send a letter describing their interest in the position, qualifications, experience and career goals, as well as a CV with full publication list (if appropriate...

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Application procedure

We would like to receive your application before 9 July 2021. We will then contact you shortly. Qualified applicants are requested to send a letter describing their interest in the position, qualifications, experience and career goals, as well as a CV with full publication list (if appropriate) and the names and contact information of two references.

What else can you expect?

When you begin employment, we will request a certificate of conduct (VOG) and, depending on the position, you may be screened. You do not need to do anything for this; we will inform you later. 
 
Radboud university medical center is an employer that welcomes everyone. Every colleague brings valuable experience, expertise, and creativity. We believe in the benefits of a diverse and inclusive organization. #weareradboudumc

Read more about our application procedure or take a look at the frequently asked questions
 
We are recruiting for this vacancy ourselves. We only accept applications directly from the applicants themselves, but intermediaries are welcome to share our vacancies in their networks.​


Contact

All additional information about the vacancy can be obtained from Dr. Andre Marquand , associate professor. Use the Apply button to submit your application.

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Contact

All additional information about the vacancy can be obtained from Dr. Andre Marquand, associate professor. Use the Apply button to submit your application.

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