Postdoc: AI for Fetal Heart Biomarker Discovery (CHD)

University of Oxford; Oxford; On-site; GBP 35,000 - 48,000; Full time

Benefits offered by this job

38 days annual leave

Pension schemes

Oxford college access

Travel schemes

Family-friendly benefits

Sports facilities

Personal and professional development

University Club membership

Staff discounts

Childcare services

Job summary

University of Oxford seeks a creative postdoctoral researcher to join the CAIFE study, developing AI-assisted methods to detect congenital heart conditions from fetal heart ultrasound scans. You will design and test machine-learning approaches on a large CAIFE dataset collected across multiple hospitals.

The role requires a technical PhD/DPhil (or near completion) in medical video analysis or computer vision, preferably with echocardiography experience.

Qualifications

• PhD/DPhil in medical video analysis or computer vision with a video focus.
• Experience with echocardiography or fetal echocardiography or related real-world video analysis is preferable.

Responsibilities

• Design and pilot test original image- and video-based CHD biomarkers.
• Collaborate with clinical domain experts to define and evaluate AI biomarker models.
• Prepare tests and evaluations on the CAIFE fetal ultrasound dataset.

Job description

University of Oxford seeks a creative postdoctoral researcher to join the CAIFE study, developing AI-assisted methods to detect congenital heart conditions from fetal heart ultrasound scans. You will design and test machine-learning approaches on a large CAIFE dataset collected across multiple hospitals.

The role requires a technical PhD/DPhil (or near completion) in medical video analysis or computer vision, preferably with echocardiography experience.