PhD Students at Centrum Wiskunde en Informatica

CWI (the Life Sciences and Health research group) closely collaborates with LUMC (the department of radiation oncology) to work on innovations in the medical domain along the entire spectrum from algorithmic foundations to clinical integration. Already there are several AI-based projects running between these institutes, constituting a large and vibrant research group of 12 PhD students and postdocs.

On 3 joint projects, CWI and LUMC still seek 3 talented PhD students (2 to be hired at CWI and 1 to be hired at LUMC) to work on the development of evolutionary algorithms (EAs) and deep learning techniques, with applications in radiation oncology.

In a project called Fast, accurate, and insightful brachytherapy treatment planning for cervical cancer through artificial intelligence, in which also the Amsterdam University Medical Centre is involved, we have 1 PhD student position to fill at CWI on the generalization and extension of the core of the evolutionary optimization engine that was originally designed, built, and validated with a focus on prostate cancer brachytherapy treatment. At the basis of this optimization engine is the state-of-the-art research line on EAs known as the Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) family. This position is part of a larger project that constitutes 3 PhD students and 1 scientific programmer.

In a project called TRUST-AI - Transparent, Reliable and Unbiased Smart Tool for Artificial Intelligence, we have 1 PhD student position to fill at CWI on finetuning novel explainable AI algorithms that are predominantly based on the specific EA subtype of Genetic Programming (GP, and in particular the GP variant of GOMEA - GP-GOMEA) and combinations with deep learning, to work well in clinical practice regarding rare tumors in the head and neck region. This position is part of a larger project that constitutes 2 PhD students.

In a project called DAEDALUS - Decentralized and Automated Evolutionary Deep Architecture Learning with Unprecedented Scalability we have 1 PhD student position to fill at LUMC on real-world medical applications of (distributed) deep learning in medical image analysis and radiation therapy dose analysis with multiple treatment centres. There is a strong emphasis on applications, although candidates must have a sufficiently relevant and strong background in computer science, math, or AI to allow understanding the principles of the novel techniques that are developed in the project. This position is part of a larger project that constitutes 3 PhD students and 1 scientific programmer.