PhD Position for Uncertainty-aware AI-based Predictive Model for Treatment Decision Making

Are you looking for a PhD position where you can combine insights from machine learning and medical image analysis? Are you interested in improving and better understanding artificial intelligence systems for clinical applications? The Quantitative Healthcare Analysis (qurAI) group is seeking a PhD candidate to dive into these kind of research.

We are looking for a PhD candidate in the field of machine learning and medical image analysis, in a project that will be carried out in collaboration with Prof. Philipp Berens' research lab at the University of Tübingen. The main goal of the project is to advance performance on medical imaging semantic segmentation techniques by producing clinically plausible solutions; and, consequently, develop uncertainty-aware predictive models for treatment decision making in patients with neovascular age-related macular degeneration. This PhD position is funded by the Amsterdam Unit of ELLIS (the European Laboratory for Learning and Intelligent Systems).

What are you going to do

As part of your PhD, you will develop new deep learning solutions for the analysis of Optical Coherence Tomography (OCT) for treatment decision making. Specifically, you will address the challenges of creating uncertainty-aware decision-making algorithms based on clinically plausible semantic segmentation of OCT scans. You will be embedded in the qurAI group, an interfaculty, multidisciplinary group between the Institute of Informatics of the University of Amsterdam and the Department of Biomedical Engineering and Physics of the Amsterdam University Medical Center (AUMC). We focus on the development, validation and clinical integration of AI solutions for data analysis challenges in healthcare. The group aims at designing and enabling socially responsible AI innovations in healthcare. You will work under the supervision of Prof. Clarisa Sánchez from the qurAI, who will also serve as your promotor. You will also work in close collaboration with dr. Erik Bekkers, from the Amsterdam Machine Learning Lab (AMLAB) at University of Amsterdam, as well as Prof. Philipp Berens at the University of Tübingen.

You are expected to:

• complete and defend a PhD thesis within the official appointment duration of four years;
• publish and present your work in journals and international conferences;
• be an active part of the qurAI group and their activities;
• assist in educational activities and supervision of bachelor and master students.

While you will be based in Amsterdam, you will be required to spend some time in Tübingen (a total of 12 months over the four year PhD trajectory).