Do you want to contribute to top quality medical research?

Our research group aims to validate and apply advanced MRI approaches in a fast-paced clinical setting to provide clinicians with better in vivo imaging tools for the diagnosis, monitoring and treatment development of a variety of neuroinflammatory and neurodegenerative disorders. We are an internationally collaborative group that aims to foster collaborative large-scale projects.

Your mission

We aim to facilitate the diagnosis, enhance disease monitoring and provide more tools to assist in the benchmarking of therapeutic development by merging advanced research topics within a prolific clinical setting with both focusing on patient outcomes. As a candidate, your primary mission within the group will be do facilitate the development and optimization of advanced MRI image processing pipelines from numerous different pathologies to hasten to the progress of multiple projects across numerous pathologies. This includes all of the necessary tasks involved from the scripting of the front-end theoretical framework through constructing the clinical data storage environment under the guidance of site pre-approved standards.

Your profile

Requirements

  • Master's degree or concurrent enrollment
  • Minimum one year experience conducting biomedical research at a high-level institution(s)
  • A wide breadth of experience applying conventional and non-conventional MRI with special consideration in such pathologies as multiple sclerosis and COVID-19
  • Scripting experience in Linux, MATLAB and python
  • Practical handling and a strong demonstrated versatile history of applying MRI processing tools, with special consideration given to:
    • FreeSurfer (cross-sectional and longitudinal pipelines)
    • Statistical parametric mapping (SPM)
    • Lesion segmentation toolbox (LST)
    • fMRI Software FSL
    • Spinal cord toolbox (SCT)
    • Advanced Normalization Tools (ANTs)
  • Very good command of written and spoken English

Qualifications

  • Practical experience in optimizing and developing image processing pipelines 
  • Experience in organizing medical  images and the corresponding analysis frameworks
  • Experience in developing and applying Deep learning-based algorithms for medical image analysis
  • Experience in multi-modal image processing, such as combining various advanced MRI techniques
  • Procedural and application experience in Deep Learning image processing approaches
  • Special consideration given to prior handling of 3D modeling software and 3D printing (CAD systems)
  • Special consideration for working with and identifying tissue lesions
  • Medical image analysis of the brain, spinal cord and/or the lungs

What do we offer?

Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote better health for all. At Karolinska Institutet, we conduct innovative medical research and provide the largest range of biomedical education in Sweden. Karolinska Institutet is a state university, which entitles employees to several benefits such as extended holiday and a generous occupational pension. Employees also have free access to our modern gym and receive reimbursements for medical care.

Location: Karolinska Universitetssjukhuset Huddinge

Read more about the Department of Clinical Neuroscience
Read more about the research group you will be part of

 

 

Application

Welcome to apply at the latest October 26th 2021.

The application is to be submitted through the Varbi recruitment system.In this recruitment, you will apply with your CV without a personal letter. Instead, you will answer some questions about why you are applying for the job in the application form. 

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

Type of employment Temporary position
Contract type Part-time
First day of employment According to agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 15-20%
City Stockholm
County Stockholms län
Country Sweden
Reference number STÖD 2-4342/2021
Contact
  • Vendela Breeze, HR-administrator, +46 8-524 832 82, vendela.breeze@ki.se
  • Tobias Granberg, Research team leader, tobias.granberg@ki.se
Union representative
  • Venus Azhary, OFR, +46 707-124 127
  • Henry Wölling, SEKO, henry.wolling@ki.se
  • Arsalan Amir, SACO, +46 704831165
Published 13.Oct.2021
Last application date 26.Oct.2021 11:59 PM CEST

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