- 36 hours a week
- 12 months with a possible extension of three years
- Scale 10.4: max € 3403 gross per month at full employment (excl. vacation bonus and end of year payments)
Job descriptionWe are searching for a postdoc to work on a 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.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. You will employ and extend the normative modelling approaches we have pioneered for this purpose which rely on state-of-the art Bayesian machine learning and deep learning techniques. You will apply these models to richly phenotyped clinical samples of individuals with autism. The project is highly interdisciplinary, and is embedded within the EU-AIMS / AIMS-2-TRIALS consortium.
AIMS-2-TRIALS is the world-wide largest project focused on the identification and validation of biomarkers for Autism Spectrum Disorder and the testing of new treatments. The budget for this project totals €117 million. The project is structured into six “workpackages”, including 1. Project Management, 2. Biomarker Identification and Validation, 3. Development of a Europe-wide Clinical Trials Network, 4. Clinical Trials, 5. Education, communication and stakeholder engagement, and 6. Data base and data analysis. It involves 75+ partners across Europe, including academics, industry partners, and charities. In addition, the project benefits from substantial in-kind contributions by two US charities, the Simons Foundation for Autism Research (SFARI) and Autism Speaks. It also links to Canadian, Australian, and South African research network.
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- A PhD degree in biomedical engineering, electrical and computer engineering, computer science, mathematics, statistics, computational neurosciences or a related quantitative field.
- Research experience in analyses of neuroimaging data collected from any of the following modalities: structural MRI, DTI, fMRI, fNIRS, and EEG/ERP. Strong programming skills in any of the following languages: Matlab, C/C++, Python, Shell Scripts, R, SAS, and extensive knowledge on Unix/Linux operating systems. Candidates with strong experience on machine learning, pattern classification, regression methods, or sparse representation are particularly encouraged to apply. Additional qualifications include ability to work well in a multidisciplinary, highly collaborative research team; interest in translational research between neuroscience, computational models, and clinical populations, and a strong record or potential for scholarly productivity. Highly motivated candidate with a PhD degree in (Bayesian) Statistics, Computer Science, Engineering, Cognitive neuroscience, Medical Physics or other relevant field of study.
- Applicants should be able to demonstrate a strong academic track-record, including publications in international journals.
- Excellent skills and expertise in applied mathematics, programming (MATLAB and C++) and statistical machine learning are required.
- Strong skills in the usage of one or more of the common functional neuroimaging platforms (FSL, SPM, MVPA, AFNI) are required.
OrganizationThe Donders Institute for Brain, Cognition and Behaviour is a world-class research centre devoted to understanding the mechanistic underpinnings of human cognition and behavior in health and disease. The Institute is home to more than 600 researchers from 35 countries who share the common goal of contributing to the advancement of the brain-, cognitive- and behavioral sciences through investigator-driven research, and improving health, education and technology by applying advances in this field.
The vacant postdoc position is in the Statistics Imaging Neurosciences group of Prof. Christian Beckmann at the Donders Centre for Cognitive Neuroimaging, Radboud University Nijmegen, the Netherlands, in collaboration with the FMRIB Centre at the University of Oxford, UK.
The Donders Institute for Brain, Cognition and Behaviour offers a unique, multidisciplinary working and learning environment with opportunities for developing expertise in a diversity of research areas and techniques. The centre is equipped with multiple MRI scanners (7T, 3x3T), a 275-channel MEG system, an EEG-TMS laboratory, several (MRcompatible) EEG systems, and high-performance computational facilities.
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- The entry salary will be scale 10, step 4. The initial salary depends on relevant work experience.
- In addition to the monthly gross salary, you will receive two bonuses (holiday: 8.3%, and end-of-year: 8%).
- International applicants may qualify for significant income tax reduction under the Dutch 30% rule.
- Starting date will be 1 January 2020 or 1 March 2020.
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Comments and contact informationAll additional information about the vacancy can be obtained from Prof. Christian Beckmann, full professor. Use the Apply button to submit your application.
Closing date: review of applications will continue until the position is filled.
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