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PhD in Bioinformatics, connectomics analysis of the human brain – Vrije, Netherlands 2022

The Netherlands

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PhD in connectomics analysis of the human brain at the Faculty of science, Department Complex Trait Genetics – Vrije University, Netherlands 2022

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General Info

Position: PhD
No. of Positions: 1
Research Field: , , , , ,
Deadline to Apply:
Joining Date: ASAP
Contract Period: -
Salary: According to Standard Norms

Faculty of Science
Dutch Connectome Lab
Vrije Universiteit Amsterdam (VU)
Amsterdam, The Netherlands

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Qualification Details

  • MSc in any of the of the following fields: Mathematics, Physics, Artificial Intelligence, Informatics (webdevelopment), Computational Neuroscience, Biology, Genetics and/or Statistics
  • experience with neuroimaging techniques, preferably connectomics; bioinformatics; computational biology is appreciated
  • a good ability to write and read English
  • experience with Python, or R language and some experience with scientific programming
  • support ‘open science’: share your tools and data with the wider scientific community. Sharing is caring

Responsibilities/Job Description

The Dutch Connectome Lab ( at the Center for Neurogenomics and Cognitive Research in Amsterdam (see is seeking applicants for 1-2 PhD positions in cross-disorder connectome analysis of the human brain. The successful candidate will be part of a large ERC project in the group of PI Martijn van den Heuvel as part of the department of Complex Trait Genetics at the VU. The aim of the project is to gain insight into the transdiagnostic effects of the human brain connectome and the integration of this data with recent functional and structural connectome properties and recent genetic discoveries, utilizing large-scale bioinformatic databases and resources.The human brain -our brain- is a large complex network of interconnected regions; the ‘connectome’. In the last decade advances in the field of connectomics have started to map and study the complex organization of brain networks, with the aim to get a better understanding of how brain connectivity plays a central role in brain function and disease disfunction. The field of disease connectomics has the specific aim to map and study how changes to the connectome may play a role in the etiology of a variety of brain conditions, ranging from individual symptomatology to neurological and psychiatric conditions. New technologies and data analysis techniques have enabled to map which systems and brain connections are involved in which disorders. A large open question is how brain systems may relate to each other across disorders and how we can best describe disease specific effects. A second large open question is how such potential cross-disorder and disorder-specific effects may relate to underlying common and unique genetic and molecular effects. To address these challenges, you will work on large-scale MRI and genetics databases and use (and develop) state-of-the-art methods on connectomics, genetics, and Machine Learning. You will work in a highly enthusiastic and motivated team of PhD students and PostDocs working on this project, with diverse backgrounds, including, bioinformatics, artificial intelligence, neuroimaging, computational neuroscience, psychology and genetics.You have affinity with working with large datasets and have knowledge of MATLAB, Python, R, or other scientific coding/programming. Affinity with computational neuroscience, connectomics and/or Machine Learning is appreciated.

Your duties

  • perform connectome analysis on neuroimaging data
  • integrate connectome findings across datasets
  • work on developing new statistical methods to compare networks cross conditions
  • apply bioinformatic tools for integrating results from different biological resources
  • think critically
  • work with highly motivated and enthusiastic team members
  • actively take part in discussions and have frequent contact with CNCR neuroimaging, genetics and neuroscience labs
  • authoring and co-authoring manuscripts submitted to high quality journals
  • support (10% of time) to teaching
  • frequently present work at international communities (at conference calls, or conferences)

How to Apply?

Online Application through "Apply Now" Button from this page

Reference Number: -
(If any, use it in the necessary place)

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Documents Required

You are requested to write a letter in which you describe your abilities and motivation, accompanied by your curriculum vitae, a list of grades of your MSc and the names and contact details of two scientific referees. Please compile all this together in one document and convert it to pdf.

About the Department

The Faculty of Science inspires researchers and students to find sustainable solutions for complex societal issues. From forest fires to big data, from obesity to medicines and from molecules to the moon: our teaching and research programmes cover the full spectrum of the natural sciences. We share knowledge and experience with leading research institutes and industries, both here in the Netherlands and abroad. Working at the Faculty of Science means working with students, PhD candidates and researchers, all with a clear focus on their field and a broad view of the world. We employ more than 1,250 staff members, and we are home to around 6,000 students.

About the Employer: Vrije Universiteit Amsterdam (VU)

Note or Other details

A challenging position in a socially involved organization. The salary will be inaccordance with university regulations for academic personnel and amounts €2,434(PhD) per month during the first year and increases to €3,111 (PhD) per month duringthe fourth year, based on a full-time employment. The job profile: Promovendus (PhD)is based on the university job ranking system and is vacant for 1 FTE.The appointment will initially be for 1 year. After a satisfactory evaluation of the initialappointment, the contract will be extended for a total duration of 4 years. Additionally,Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes andregulations to promote a good work/life balance, such as:

  • a maximum of 41 days of annual leave based on full-time employment
  • 8% holiday allowance and 8.3% end-of-year bonussupport
  • solid pension scheme (ABP), contribution to commuting expenses

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Contact details

If you have any questions regarding this vacancy, you may contact:
Name: prof. dr. Martijn van den Heuvel
Position: Full professor
E-mail: martijn.vanden.heuvel@@vu.nlTelephone: + 31 20 598 33 43


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