PhD Position in Digital Pathology: Join our dynamic team at Karolinska Institutet to contribute to cutting-edge research in data-driven life science. This PhD position focuses on developing artificial intelligence techniques for digital pathology data, specifically aimed at improving prostate cancer care.
Summary Table:
| Type of employment | PhD placement |
|---|---|
| Contract type | Full time |
| First day of employment | According to agreement |
| Salary | Monthly salary |
| Number of positions | 1 |
| Full-time equivalent | 100 |
| City | Stockholm |
| County | Stockholms län |
| Country | Sweden |
| Reference number | STÖD 2-1565/2024 |
| Contact | Martin Eklund, martin.eklund@ki.se Cecilia Westman Betnér, HR-partner, cecilia.westman.betner@ki.se |
| Union representative | Henry Wölling, SEKO, henry.wolling@ki.se Ann Almqvist, SACO, ann.almqvist@ki.se Niklas Andersson, OFR, niklas.andersson@ki.se |
| Published | 11.Apr.2024 |
| Last application date | 02.May.2024 11:59 PM CEST |
Study Area: The research focuses on data-driven life science, particularly in the field of digital pathology and precision medicine.
Scholarship Description: This PhD position is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), aimed at training the next generation of data-driven life scientists. The successful candidate will work within the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet, focusing on developing AI techniques for digital pathology data to improve prostate cancer care.
Eligibility: To be eligible, applicants must hold a Master’s degree in Computer Science and Engineering or a related field. Proficiency in English equivalent to the course English B/English 6 at Swedish upper secondary school is required.
Required Documents: Applicants must submit the following documents:
- A personal letter and a curriculum vitae
- Degree projects and previous publications, if any
- Any other documentation demonstrating the desired skills and personal qualities
- Documents certifying general eligibility
- Documents certifying specific eligibility
How to Apply: Submit your application and supporting documents through the Varbi recruitment system. Applications should preferably be in English, but Swedish is also accepted.
Last Date: 02.May.2024 11:59 PM CEST
Don’t miss this opportunity to be part of groundbreaking research in data-driven life science and contribute to better health outcomes for all. Apply now!
