Do you want to contribute to top quality medical research?

Artificial intelligence (AI) will change the daily work of doctors, make diagnoses more accurate and treatment choices more likely to succeed. Our group has curated a large dataset of hundreds of thousands of mammograms, thousands of ultrasound images and MRI exams, linked to clinical outcome data and radiologist image labels. We have collaborations with several medical AI companies and academic research groups whose AI models we evaluate.

Do you have a recent PhD degree in Computer Science or related field?

Our group

Our goal, related to this position, is to facilitate a safe and optimized introduction of established AI models in breast imaging and breast cancer care. Our research group is part of the Department of Oncology and Pathology at Karolinska Institutet, and the research leader Fredrik Strand is a breast radiologist at Karolinska University Hospital.

We have internationally well-established research in developing and evaluating AI for radiological breast cancer diagnosis. Our group has expertise in radiology, biostatistics and machine learning. In addition, we have a strong collaboration with research groups at KTH, the Royal Institute of Technology, the University of California San Francisco and Berkeley.

We are now looking for a project leader for a Vinnova-funded project. The goal of the project is to perform an international validation of an AI model developed in a collaboration between our group and KTH, the Royal Institute of Technology. 

Your mission

Your major duty will be to act as project manager for the International Validation Study and be responsible for deliverables leading up to a successful conclusion of the project in the autumn of 2025.  You will work with our internal team and with external parties in other countries with a focus on UK and US.

Your profile

In your personal letter, please specify what concretely in your history support that you meet, and excel in, each of the qualifications listed below.

You must have:

  • a PhD degree from 2024 in Computer Science
  • a BSc or MSc degree in Electrical Engineering or related field
  • work experience as software engineer
  • excellent communication skills in English
  • skills in Python, C/C++

It is a merit to have:

  • more experience from developing and evaluating AI/ML models for breast radiology images
  • more published scientific paper in a relevant field
  • more received grants

What do we offer?

A creative and inspiring environment with wide-ranging expertise and interests. 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. Karolinska Institutet is also a state university, which entitles you to several good benefits through our collective agreement. And you get to practice freely in our modern wellness facilities, where trained staff are on site.

Location: Solna

Choose to work at KI – Ten reasons why

Application

Welcome to apply at the latest 25th December.

The application is to be submitted through the Varbi recruitment system.In this recruitment, you will apply with your CV without a personal letter. Instead, you will answer some questions about why you are applying for the job in the application form. 

This is a temporary position 20 % for 1 year. 

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

Type of employment Temporary position
Contract type Part-time
First day of employment Up on Agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 20 %
City Solna
County Stockholms län
Country Sweden
Reference number STÖD 2-4914/2024
Contact
  • Fredrik Strand, fredrik.strand@ki.se
Union representative
  • Helen Eriksson, OFR, helen.eriksson@ki.se
  • Henry Wölling, Seco, henry.wolling@ki.se
  • Per Hydbring och Nick Tobin, SACO , per.hydbring@ki.se/nick.tobin@ki.se
Published 11.Dec.2024
Last application date 25.Dec.2024 11:59 PM CET
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