New Postdoc Position in Neuroimaging and Machine Learning in Aging and Neurodegenerative diseases

Dear all,

We are looking for a Postdoc to work in an interdisciplinary and internationally competitive environment at Karolinska Institute, one of the top medical universities in the world and the home for the Nobel Prize in Medicine.

We combine imaging analyses, statistical tools, machine learning algorithms, biofluid assays and genetics to study brain aging and the earliest signs of Alzheimer’s and Parkinson’s diseases.

This project will be carried out under the supervision of Associate Professor Joana B. Pereira and it will involve analyzing cross-sectional and longitudinal imaging data, combining clinical measures and cerebrospinal fluid biomarkers, as well as writing manuscripts and presenting results in international conferences. The Postdoctoral fellow will have the opportunity to work in a friendly and dynamic environment, be involved in many projects, collaborate with group members on different studies, learn new skills, interact with researchers with different backgrounds and from other universities, analyze large datasets from well-characterized cohorts, apply for grants and develop a wide network of international collaborations.

The ideal candidate should have the following qualities:
A PhD in medicine, neuroimaging, computational science, physics, neuropsychology, statistics or a related field.
Experience in statistical techniques, programming, and scripting in MATLAB, Python, R or other softwares.
Experience with structural MRI, DTI, fMRI and/or PET imaging analyses.
Experience with different softwares such as SPM, FSL, FreeSurfer, AFNI, etc.
Experience or interest in working with aging and/or neurodegenerative disorders, particularly Alzheimer’s and Parkinson’s diseases.
Good academic record with scientific publications in world-class journals
The Postdoctoral studies will be performed for 1 year, with possible extension for an additional year. There are also possibilities for a longer appointment after this 2-year period.

To apply please go to:
(Deadline: 10.Jun.2022)

For further information or general inquires, please contact Joana B. Pereira at or

Best wishes,