Overview
The Technical University of Denmark (DTU) is inviting applications for a postdoctoral position focused on algorithmic fairness in fetal ultrasound foundation models. This role is significant for advancing health equity through AI, aiming to address systematic errors in AI applications within healthcare.
Background & Relevance
Algorithmic fairness is a critical area in AI, particularly in healthcare, where biased algorithms can lead to disparities in treatment and outcomes. The project, known as FairFM, emphasizes the importance of understanding and mitigating AI errors to ensure equitable healthcare solutions. This research is vital as it seeks to enhance the reliability of AI systems in sensitive applications like fetal ultrasound, ultimately aiming to improve health outcomes for diverse populations.
Key Details
- Position: Postdoctoral Researcher
- Start Date: January 1, 2026, or earlier
- Application Deadline: September 15, 2025
- Project: FairFM
- Collaborating Institutions: DTU, University of Copenhagen (DIKU), CAMES, Rigshospitalet, and Prenaital
- Funding: DIREC – Digital Research Centre Denmark
- Application Link: Apply Here
Eligibility & Participation
This postdoctoral position is targeted at researchers with a strong interest in AI and healthcare. Candidates should possess a background in algorithmic fairness, machine learning, or related fields, and should be enthusiastic about interdisciplinary collaboration.
Submission or Application Guidelines
Interested applicants should prepare their application materials, which typically include a CV, cover letter, and references. Applications must be submitted through the provided link before the deadline.
More Information
The FairFM project represents a collaborative effort among leading institutions in Denmark, focusing on the intersection of AI and healthcare. By addressing algorithmic fairness, this initiative aims to foster more equitable healthcare solutions, which is increasingly important in today’s diverse society. The interdisciplinary nature of the project allows for a rich exchange of ideas and methodologies, enhancing the overall impact of the research.
Conclusion
This postdoctoral opportunity is an excellent chance for researchers passionate about AI and health equity to contribute to meaningful advancements in the field. Interested individuals are encouraged to apply and become part of a dedicated team working towards improving healthcare through responsible AI practices.
Category: PhD & Postdoc Positions
Tags: algorithmic fairness, health equity, fetal ultrasound, AI in healthcare, interdisciplinary research, machine learning, postdoc, DTU, University of Copenhagen, CAMES, Rigshospitalet, DIREC
