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The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and geriatric epidemiology, eating disorders, precision medicine, and biostatistics.
Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb.
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 predictive medicine group is focused on development and application of predictive models for biomedical applications, with a particular interest in cancer precision medicine and computational pathology. Our research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and medical imaging data.
This PhD position will include both methods development and applied research in the area of computational pathology in cancer, where applications of computer vision, deep learning and machine learning methodologies are central. The research will include multiple data modalities, such as histopathology images, molecular profiling data, and clinical data. Under supervision, the PhD student will be responsible for literature review, model implementation, data analysis, result interpretation, scientific article writing and data presentation.
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.
Applicants must have a degree in an area relevant for the position, including, for example, signal-processing/image analysis, health informatics, epidemiology, statistics or machine learning. The applicant must have previous experience from computational/statistical analysis and modeling of biomedical data. It is desirable that the applicant has prior experience from analysis of histopathology imaging data.
The applicant must have prior documented experience in Python programming and experience of common deep learning frameworks, e.g. Pytorch or Tensorflow. It is desirable that the applicant has experience from the application of deep-learning for medical image analysis and histopathology image analysis in particular.
The applicant should be eager to learn new skills, willing to collaborate, be focused, dedicated, and enthusiastic about their research. Attention to detail and dedication to excellence are required.
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.
Type of employment | PhD placement |
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Contract type | Full time |
Number of positions | 1 |
Full-time equivalent | 100 |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | STÖD 2-2122/2023 |
Contact |
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Union representative |
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Published | 26.May.2023 |
Last application date | 16.Jun.2023 11:59 PM CEST |