Title                             : Postdoctoral Position on Imaging Genetics
No. of Position(s)        : One (1) position
Location                      : Paris, France
Starting date               : November 2018

JOB DESCRIPTION

The successful applicant will work in the Clinical Research Group on Alzheimer Precision Medicine (GRC-APM) at the site of Pitié-Salpêtrière Hospital of Sorbonne University under the supervision of Prof. Harald Hampel, holder of AXA Research Fund & Sorbonne University Chair « sur le dépistage de la maladie d’Alzheimer».

The GRC-APM has as main objective the advancements in detecting, treating, and preventing Alzheimer’s disease (AD) by the implementation of a Precision Medicine (PM) strategy. The successful applicant will collaborate in the area of imaging genetics involving the development of algorithms for the identification of novel multi-modal (imaging and genetic) feature combinations and probabilistic models that explain these imaging-genetic interactions and facilitate diagnoses and prognoses in cognitive intact older adults at risk for AD and AD dementia patients. The candidate will benefit from the collaboration with our multidisciplinary team members and from our on-going collaborations with European and US research centres.

 
JOB RESPONSIBILITIES

 

·       To conduct analyses of neuroimaging and genetics data on large datasets

·       To develop statistical models and/or use softwares that incorporates information across different modalities of data such as imaging (3D-T1; rs-fMRI; DTI; amyloid-Pet and FDG-PET, genetic, gene expression, biofluids)

·       To write scientific publications

·       To collaborate with other Team research scientists

·       To present findings at international conferences

EDUCATION

PhD in bio-/Statistics, Computer Science, Machine Learning, Electrical Engineering or related fields, with research experience in statistical machine learning using complex multivariate data.

 

KNOWLEDGE – SKILLS – ABILITIES

Experience on probabilistic graphical models, and/or dimensionality reduction, and and/or sparse learning is highly desirable. Researchers with image processing pipelines and gene expression analysis are particularly encouraged to apply. Strong programming skills (working knowledge of Linux, C/C++, Python, Matlab) is desirable

REQUIREMENTS

The candidate for this position is expected to have: strong background in machine learning, advanced statistical modeling and data analysis, possess excellent writing and communication skills. Experience in biostatistics and particularly analyzing genetic and imaging data.

 

 

Position length: The position is supported for 4 years. However, candidates will be appointed for 1 one year, with an extension possible based on progress

Salary: The salary compensation is very competitive: 3700,00 € gross / month

 
Please send a brief letter of motivation and your detailed CV as one pdf (<2MB) to patrizia.chiesa@icm-institute.org