Postdoc Researcher in AI for Breast Imaging

Do you want to contribute to improving human health?
This is a rare opportunity to join collaborative research at the intersection of radiology, computer science and bioinformatics.

We lead the way for how AI can be integrated with radiological images and clinical data to benefit women in breast cancer screening and treatment. You will be based in the radiology team and manage images and clinical data, working closely with collaborators in computer science who develop new AI algorithms.

Your mission
We seek a curious-minded postdoc who thrives in a data-rich environment, and who enjoy working with radiology images. You will help to manage our dataset consisting of millions of mammograms and thousands of MRI exams. You will be involved in international collaborations with clinical and machine learning researchers. Depending on your background, in radiology or image analysis, your mission will be tailored to fit your competence and our research needs.

Your profile
Qualified to be employed as a postdoctor is one who has obtained a doctorate or has equivalent scientific competence. Applicants who have not completed a doctorate at the end of the application period may also apply, provided that all requirements for a completed degree are met before the (intended) date of employment. This must be substantiated by the applicant's main supervisor, director or equivalent.

Necessary qualifications:

- You should either have: - o A first/second cycle university education in engineering or computer science and a PhD in image analysis with a focus on clinical applications
or
- o A first/second cycle university education as Medical Doctor, with experience from radiology research and strong computer skills


- Having published as first author, at least two peer-reviewed original research articles in a journal with an impact factor of 5 or higher, which should be relevant to the post doc position
- Knowledge and experience of Linux operating system
- Knowledge and experience in python programming
- Knowledge of statistical methods
- Demonstrate fluency in the English language in oral and written communication
- Good collaborative skills helping to build a friendly and welcoming workplace

Merits of additional value:

- Knowledge and experience in breast cancer research or care
- Knowledge and experience in breast imaging
- Experience of data sharing and knowledge of GDPR
- Experiences of any kind showing that you are diligent, hard-working, and can think outside of the box

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.

The employment is a temporary position for one year. 

Location: The affiliation is with the Department of Oncology-Pathology in professor Jonas Bergh’s research group. The work place in the Fredrik Strand research team is located at the Breast Imaging unit at the Karolinska University Hospital in Solna.

https://ki.se/en/onkpat/research-team-fredrik-strand
https://ki.se/en/about/your-career-continues-here



 

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

- A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
- A complete list of publications
- A summary of current work (no more than one page)
- A page explaining how you meet each of the necessary qualifications and any merit of additional value listed above

Welcome to apply at the latest June 30, 2021.

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

 

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