Postdoctoral studies in Neuroimaging and Machine Learning in Aging and Neurodegenerative Diseases (scholarship) - Hiring in process/Finished, not possible to apply

Do you want to contribute to top quality medical research?

A postdoctoral position (scholarship) is open in the Brain Connectomics Lab led by Principal Researcher and Associate Professor Joana B. Pereira, which consists of 4 PhD students and 2 Postdocs working at Karolinska Institute and Gothenburg University in Sweden.

Our research is focused on developing new brain connectivity measures derived from structural MRI, functional MRI and diffusion tensor imaging in Aging and patients with Alzheimer's disease and Parkinson's disease.

Moreover, many of our recent projects are also apply different machine learning algorithms to brain imaging data, including MRI, amyloid PET and tau PET in addition to cerebrospinal fluid and plasma biomarkers as well as clinical data to predict the development of cognitive decline and dementia.

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, attend international meetings and conferences, 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.

Duties

The candidate is expected to be highly motivated, independent and have good communication skills. He/she will collaborate with other group members, contribute to ongoing projects, supervise students, propose new ideas and be able to complete research projects and write manuscripts of high scientific quality.

The Postdoctoral studies will be performed for 1 year, with possible extension for an additional year. Depending on performance and funding opportunities, a larger period may be considered.

The ideal candidate will have at least some of 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.

Entry requirements

Scholarships for postdoctoral qualification can be established for foreign researchers who place their qualifications in Sweden. The purpose of scholarships for postdoctoral qualification is to promote internationalization and contribute to research qualification after a doctorate or equivalent.

A scholarship for carrying out postdoctoral research can be granted for a maximum of two years within a four year period following the receipt of a doctoral degree or equivalent.
To be eligible for a postdoctoral scholarship, the person must have obtained a doctorate or a foreign degree deemed to be equivalent to a doctorate. Applicants who have not completed a doctorate at the end of the application period may also apply, provided that all requirements for a completed degree are met before the (intended) start date of the post doctoral education.

The head of the department determines whether their previous training and scholarly qualifications correspond to a Swedish doctorate or higher.

Location: Flemingsberg

Type of scholarship

The amount is tax free and it is set for twelve months at a time, paid out on a six months basis. In exceptional cases, shorter periods may be acceptable.

Application process

An application must contain the following documents in English or Swedish:

• A complete curriculum vitae, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
• A complete list of publications
• A summary of current work (no more than one page)

The application is to be submitted on the Varbi recruitment system.

Want to make a difference? Join us and contribute to better health for all