The Department of Neurobiology, Care Sciences and Society (NVS) conducts world leading research in aging, dementia, epidemiology and care sciences. This research extends from basic molecular and cell levels to clinical research and societal studies. NVS educates almost a third of KI students at basic and advanced levels. The Department has approximately 540 employees and a revenue 2023 of 530 million SEK. It comprises seven divisions, located at Campus Flemingsberg and Campus Solna.

Aging Research Center (ARC), a division within NVS, is located at KI Campus Solna, Stockholm. It is a multidisciplinary academic environment, representing medicine (e.g., neurology, epidemiology, psychiatry, geriatrics), psychology (e.g., cognition, structural, functional, and molecular brain imaging), and social gerontology (e.g., sociology, public health, social epidemiology, social work). The center has around 70 employees, it has a strong focus on research with unique research resources, such as large-scale longitudinal studies and nationwide registries.

Do you want to contribute to top quality medical research?

At ARC, we work on several small- and large-scale neuroimaging datasets, mostly using magnetic resonance imaging (MRI) and positron emission tomography (PET) techniques.

The aims of our projects are to study the normal and pathological aging brain in relation to cognition (e. g., memory) and how genetic and environmental factors (e.g., lifestyle) influence brain integrity. Our datasets have 2 major particularities: (1) they are multimodal, meaning that we measure a variety of structural, molecular, and functional neural parameters; and (2) they contain MRI sequences that are rarely used in regular protocols, e.g. 3D multiecho gradient recalled echo for brain iron, perfusion, and spectroscopy for quantification of metabolites.

Accordingly, we have a strong interest in developing multimodal methods and assessing neural variables that became accessible with novel advances in the medical imaging field, by developing optimal processing of such neuroimaging data. The center also aims at developing deep-learning/machine-learning methods applied to neuroimaging. ARC possesses several servers to store large loads of neuroimaging data and process heavy computations.

Your mission

The duties for the incumbent are to:

  • Contribute to the development and improvement of analytical methods and tools for neuroimaging data.
  • Work productively and collaboratively with other group members in order to provide methodological and technical support for neuroimaging data.

Your profile

The compulsory qualifications required for the research engineer position include:

  • A civil engineer degree or a foreign qualification deemed equivalent to a Master of Science in engineering, preferably in the fields of "medical engineering" or “electrical engineering”
  • Holding a PhD in a relevant field (e.g., medical science, neuroscience)
  • Excellent programming skills in Python and MATLAB
  • Experience of neuroimaging data analyses, especially MRI modalities (structural and functional MRI, iron imaging, diffusion, perfusion)
  • Experience of neuroimaging data analysis pipelines and tools (e.g., FreeSurfer, FSL, SPM and Python neuroimaging libraries)
  • Experience of implementing and applying machine learning solutions on medical imaging data (particularly deep learning)
  • Fluent spoken and written English

In addition, priority will be given to the applicants with the following merits:

  • Experience in multimodal neuroimaging techniques
  • Practical knowledge of IT-environments and platforms (e.g., Linux servers, bash scripting, GPU-based processing, other programming languages such as R, C/C++)
  • Experience in medical data handling and management
  • Knowledge in MRI physics and data acquisition protocols
  • Knowledge in brain anatomy and neurodegenerative diseases
  • Publications in the field of neuroimaging

Finally, the duties imply that the candidate is innovative, flexible, likes social interactions within a team and enjoys learning.

Bases of assessment

We stress skills expertise when assessing applicants.

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: Solna

Your career continues here

Information about ARC

 

Application

Welcome to apply at the latest 2022-02-09.

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

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

  • A complete resumé
  • A complete list of publications
  • A summary of current work (no more than one page)

Permanent position is initiated by a six months trial period.

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

Type of employment Permanent position
Contract type Full time
Salary Monthly salary
Number of positions 1
Full-time equivalent 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number STÖD 2-370/2022
Contact
  • Grégoria Kalpouzos, lektor, 08-524 858 33
  • Amanda Nyberg, HR-partner, 08-524 868 12
Union representative
  • Carina Eklund, OFR, 08-585 826 65
  • Henry Wölling, SEKO, henry.wolling@ki.se
  • Henry Wölling, SEKO, henry.wolling@ki.se
Published 26.Jan.2022
Last application date 09.Feb.2022 11:59 PM CET

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