Research Engineer - Hiring in process/Finished, not possible to apply

Work Duties
Development and evaluation of models for breast cancer diagnosis from ultrasound images using machine learning.

The position includes working with the project “Breast cancer diagnosis using pocket-sized ultrasound device and deep learning”, financed by eSSENCE.

The purpose of this employment is to during a limited period of time provide the Division for Computer Vision and Machine Learning at the Centre for Mathematical Sciences with competence within machine learning and diagnostics of breast cancer, relevant to ongoing research.

The research includes supporting ongoing development of a model based on machine learning for diagnosis of breast cancer using ultrasound images. In particular support with collecting images in a clinical environment, evaluation of the model in a clinical context, as well as development of a smartphone-based application running the model.

Qualifications

• Master’s degree in engineering science
• Experience of working in a clinical environment
• Knowledge and experience of machine learning and deep learning
• Experience of research
• International research publication(s)

Great emphasis will be put on personal suitability. Consideration will be given to for example good collaborative skills, drive and independence, as well as how the applicant’s experience and skills complement and strengthen ongoing research within the department.

Terms of employment
Fixed-term employment. Maximum six months during autumn/winter 2023. Start date: 2023-08-01 or according to agreement.

Instructions on how to apply
The application should contain a personal motivation describing why you are interested of the position and a description of how the applicant matches each of the listed qualifications for the position. The application should also include a list of qualifications/CV, copy of examination certificates for master or higher education, and possible other documents that the applicant wants to quote.