Do you like to work with complex data? Do you like working with big data on the intersection of neuroscience, connectomics, and genetics? Do you want to work in an ambitious research environment in the Center for Neurogenomics and Cognitive Research (CNCR)? Please keep reading and apply at Vrije Universiteit Amsterdam.
The Dutch Connectome Lab (dutchconnectomelab.nl) at the Center for Neurogenomics and Cognitive Research in Amsterdam (see www.cncr.nl) 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.
- 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)
- 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
WHAT ARE WE OFFERING?
A challenging position in a socially involved organization. The salary will be in
accordance 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 during
the 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 initial
appointment, the contract will be extended for a total duration of 4 years. Additionally,
Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and
regulations 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
ABOUT VRIJE UNIVERSITEIT AMSTERDAM
The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. We strive to be a university where personal development and commitment to society play a leading role. A university where people from different disciplines and backgrounds collaborate to achieve innovations and to generate new knowledge. Our teaching and research encompass the entire spectrum of academic endeavor – from the humanities, the social sciences and the natural sciences through to the life sciences and the medical sciences.
Vrije Universiteit Amsterdam is home to more than 26,000 students. We employ over 4,600 individuals. The VU campus is easily accessible and located in the heart of Amsterdam’s Zuidas district, a truly inspiring environment for teaching and research.