Ongeveer 13 uur geleden - Technische Universiteit Delft (TUD) - Delft
The Multi-Actor Systems (MAS) Department within TPM focuses on complex governance issues in a technology-dominated world by analysing and modelling these syste…
Are you interested in the statistical analysis of the human brain? Are you looking for an opportunity to contribute to novel research methodologies within neuroimaging? Then look no further!
In this project you will be developing novel methodology and software for statistical tests to analyze brain imaging data, and performing data analysis under supervision of Prof. Jelle Goeman (Leiden University Medical Center) and Dr. Wouter Weeda (Psychology, Leiden University). You will present your results locally and at international conferences, and publish your results in statistics and neuroscience journals. You will collaborate with applied researchers and apply your methods on real data sets, and you will write software to make your methods usable by others. Furthermore, you will be involved in teaching (bio)medical students (at most 10% of your time). You will also collaborate with and visit international groups, including groups at the Universities of Milano-Bicocca (Aldo Solari), Padua (Livio Finos) and Beer Sheva (Jonathan Rosenblatt).
In functional neuroimaging, researchers aim to quantify how the human brain works, this entails identifying which brain areas are active during certain tasks. Often, the data that is used to select brain regions of potential interest is also used to determine how certain we are about the presence of signals in these regions. This dual use of data (‘double dipping’) is a well-known problem in the field. We have recently pioneered a solution to this problem based on advanced multiple testing methods. Our solution gives great flexibility in looking at the data prior to making important analysis decisions. In this postdoctoral project we aim to expand and explore this new methodology, improving the methods theoretically, developing software and presenting use cases.
You hold a PhD degree in mathematics, statistics, methodology or a closely related subject. You have a profound interest in neuroscience applications as is obvious from your experience. You have good communicative skills in English and enjoy collaborating with researchers outside your own field. You have excellent programming skills in R, Matlab, C++, Python, or other (statistical) programming languages. If these are qualities that match with your persona, we definitely hope you apply.
You will be employed on the basis of a 36-hour workweek for the duration of the project, which is for a maximum duration of two years. Your salary is a maximum of € 4,216 gross per month, based on a full time position (scale 10 of the Collective Labor Agreement for University Hospitals). By joining us, you will be part of a young and dynamic team consisting of international researchers.
The terms of employment offered by the LUMC are excellent. For example, you will receive 8% holiday pay, a year-end bonus, and a pension arrangement with the National Civil Pension Fund. Also, as an employee of one of the University Hospitals in the Netherlands, you can benefit from our collective health insurance policy.
Moreover, the LUMC offers excellent facilities in terms of education, child-care centers, and career advice. In addition, you may enjoy various leave arrangements and other extras.
If you have any questions, or if you want more information about this position, you can contact Prof. Jelle Goeman, Professor of Biostatistics, department Biomedical Data Sciences, telephone +31 (0)71 526 85 69, email email@example.com, or Dr. Wouter Weeda, Department of Methodology and Statistics, Psychology, Leiden University, +3 (0)71 527 80 47, e-mail: firstname.lastname@example.org.
The application procedure will involve you giving a presentation and references will be requested.