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To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required.
The division of Neuro at the Department of Clinical Neuroscience is seeking a doctoral student to join Tobias Granberg’s Research Group, a specialized multidisciplinary group focusing on advanced neuroimaging applications comprising of about 30 members. This group integrates the clinical and experimental expertise of neuroradiologists, neurologists, MRI physicists and data scientists, forming a dynamic interdisciplinary team. We collaborate closely with various departments throughout Karolinska Institutet and Karolinska University Hospital, all of whom bring invaluable practical experience and specialized knowledge to our projects.
The doctoral project will investigate the potential of Photon-Counting Computed Tomography (PCCT) in neuroimaging, particularly as an alternative to Magnetic Resonance Imaging (MRI) for volumetric analysis of the brain in populations where MRI accessibility may be limited. The project will assess the accuracy, variability, and clinical relevance of CT-based volumetry techniques compared to MRI standards, focusing on key brain structures, including grey matter, white matter, and intracranial volumes. Through a combination of atlas-based and deep-learning methods, such as CTseg and SynthSeg, the study aims to validate PCCT’s effectiveness in neuroanatomical segmentation, potentially offering a cost-effective solution for widespread clinical use. The project aims to develop a machine learning-based volumetric analysis technique tailored for PCCT, specifically designed for integration into clinical workflows to enhance accessibility and precision in neuroanatomical diagnostics.
The doctoral student will be responsible for data acquisition, segmentation analysis, and validation of the volumetric findings against MRI-based data, leveraging specialized software like FreeSurfer, SPM12, and advanced machine learning models for imaging analysis. They will manage a dicom library and data server, support network and enterprise connectors, interpret volumetric results, explore correlations with cognitive scores, and support a streamlined design for the clinical applicability of PCCT-based techniques. Furthermore, the student will contribute to interdisciplinary clinical discussions, present findings in scientific forums, and work toward the implementation of PCCT in clinical workflows under their supervisors' guidance. This project aims to enhance diagnostic accessibility and accuracy, particularly for patients requiring neuroimaging investigation.
A creative and inspiring environment full of expertise and curiosity. 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 a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. As a doctoral student you are offered an individual research project, a well-educated supervisor, a vast range of elective courses and the opportunity to work in a leading research group. Karolinska Institutet collaborates with prominent universities from all around the world, which ensures opportunities for international exchanges. You will be employed on a doctoral studentship which means that you receive a contractual salary. Employees also have access to our modern gym for free and receive reimbursements for medical care.
In order to participate in the selection for a doctoral position, you must meet the following general (A) and specific (B) eligibility requirements at latest by the application deadline.
It is your responsibility to certify eligibility by following the instructions on the web page Entry requirements (eligibility) for doctoral education.
A) General eligibility requirement
You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you:
Follow the instructions on the web page Entry requirements (eligibility) for doctoral education.
*If you claim equivalent knowledge, follow the instructions on the web page Assessing equivalent knowledge for general eligibility for doctoral education.
B) Specific eligibility requirement
You meet the specific eligibility requirement for doctoral/third-cycle/PhD education if you:
- Show proficiency in English equivalent to the course English B/English 6 at Swedish upper secondary school.
Follow the instructions on the web page English language requirements for doctoral education.
Verification of your documents Karolinska Institutet checks the authenticity of your documents. Karolinska Institutet reserves the right to revoke admission if supporting documents are discovered to be fraudulent. Submission of false documents is a violation of Swedish law and is considered grounds for legal action.
(A) and (B) can only be certified by the documentation requirement for doctoral education.
We are seeking a PhD student with a medical background and strong experience in neuroimaging and related research. Ideal candidates will have the following:
The doctoral student will be employed on a doctoral studentship maximum 4 years full-time.
Submit your application and supporting documents through the Varbi recruitment system. Use the button in the top right corner and follow the instructions. We prefer that your application is written in English, but you can also apply in Swedish.
Your application must contain the following documents:
- A personal letter and a curriculum vitae
- Degree projects and previous publications, if any
- Any other documentation showing the desirable skills and personal qualities described above
- Documents certifying your general eligibility (see A above)
- Documents certifying your specific eligibility (see B above)
A selection will be made among eligible applicants on the basis of the ability to benefit from doctoral education. The qualifications of the applicants will be evaluated on an overall basis.
Karolinska Institutet uses the following bases of assessment:
- Documented subject knowledge of relevance to the area of research
- Analytical skill
- Other documented knowledge or experience that may be relevant to doctoral studies in the subject.
All applicants will be informed when the recruitment is completed.
Read more about the Department of Clinical Neuroscience
Read more about the research group you will be part of
Type of employment | PhD placement |
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Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100 |
City | Solna |
County | Stockholms län |
Country | Sweden |
Reference number | STÖD 2-4354/2024 |
Contact |
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Union representative |
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Published | 15.Nov.2024 |
Last application date | 29.Nov.2024 11:59 PM CET |