Connectionists: PostDoc position in Population Neuroimaging available, Connectivity Group, Research Centre Jülich (Germany)

[Svenja Caspers]

The Connectivity Group (lead: Prof. Dr. Svenja Caspers) of the Institute 
of Neuroscience and Medicine (INM-1), Research Centre Jülich (Germany) 
is seeking applications for a

*PostDoctoral Research Position in Population Neuroimaging*

**

(E 13 TVöD; 39 hours/week)

The Connectivity Group focuses on the investigation of brain variability 
throughout the life span in relation to environmental and genetic 
factors, with a particular focus on the aging brain and taking advantage 
of large population-based cohorts who underwent MR neuroimaging (e.g. UK 
Biobank, German National Cohort, Human Connectome Project, 1000BRAINS). 
Specific aspects include structural, resting-state functional 
connectivity as well as advanced diffusion imaging for structural 
connectivity analyses, including graph-theory analyses. Large cohorts of 
thousands of subjects are processed using adjusted pipelines and 
workflows for high-throughput imaging analytics based on common software 
packages (e.g. FreeSurfer, FSL, MRtrix) on available high-performance 
computing systems of the Research Centre Jülich. Current interests cover 
topics in advanced statistical analyses and data-driven methods using 
machine-learning and deep learning approaches. These efforts are part of 
current projects within the Human Brain Project (HBP).

The successful candidate has a PhD in neuroscience, computer science, 
psychology, medicine or related fields and has experience with 
processing and analyses of MR neuroimaging data in larger cohorts. A 
strong interest and expertise in applying machine-learning to large 
neuroimaging datasets is highly desired to enable the candidate to 
conduct novel and innovative research projects to understand the normal 
variability of brain aging.

Your profile:

- deep knowledge of several software packages for processing of 
neuroimage data (e.g. FreeSurfer, FSL, MRtrix), also including 
respective python packages (e.g. NiPy, DiPy) and longitudinal pipelines

- profound expertise in multivariate statistical analyses, including 
usage of software for large-scale statistical analyses (e.g. R) and 
modelling of non-linear and longitudinal effects

- profound programming skills (e.g. Python) enabling high-throughput big 
data analyses

- knowledge of and interest in machine-learning and deep-learning 
techniques to be applied to large neuroimage datasets of 
population-based cohorts

- familiarity in working with large datasets

- strong publication track record

- ability to work independently

- high proficiency in English

The applicant will become part of an interdisciplinary team of PostDocs, 
PhD and MD students with various backgrounds. He / she will have ample 
possibilities to expand his / her own knowledge and expertise and 
interact and collaborate with colleagues from different fields, 
including big data analytics, genetics, epidemiology and microscopic 
analyses. With our group closely collaborating with the Jülich 
Supercomputing Center, the applicant will join current efforts in 
bringing population neuroimaging analytics to high-performance computing 
clusters for efficient and novel analyses approaches. The applicant will 
be involved in the supervision and mentoring of PhD, MD, master and 
bachelor students.

Funding for the position is available for two years. Applications will 
continue to be received until the position is filled.

Please send your comprehensive application, including CV, publication 
record, copies of relevant certificates and either reference letters or 
names of two potential references to Prof. Dr. Svenja Caspers 
(s.caspers at fz-juelich.de <mailto:s.caspers at fz-juelich.de>).


-- 
==============================
*Univ.-Prof. Dr. med. Dr. rer. pol. Svenja Caspers *

    Direktorin Institut für Anatomie I
    Heinrich-Heine-Universität Düsseldorf
    40221 Düsseldorf (Deutschland)
    Tel.: 0211-8112678
    Email: svenja.caspers at hhu.de
svenja.caspers at med.uni-duesseldorf.de

/und /

    Arbeitsgruppe Konnektivität
    Institut für Neurowissenschaften und Medizin (INM-1)
    Forschungszentrum Jülich GmbH
    52425 Jülich (Deutschland)
    Tel.: 02461-611742
    Email: s.caspers at fz-juelich.de



-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20190510/76715bbf/attachment.html>