Postdoc in AI-driven automated radiotherapy treatment planning

at  Erasmus MC

POSTDOC IN AI-DRIVEN AUTOMATED RADIOTHERAPY TREATMENT PLANNING

To develop a fully automated radiotherapy treatment planning pipeline for real-time generation of deliverable treatment plans for cancer patients using Artificial Intelligence (AI)
Closing date 11-11-2024
44.08.24.TDdH

JOB DESCRIPTION

Radiotherapy for a cancer patient requires development of a treatment plan that defines the patient-specific treatment unit settings such as X-ray beam angles and intensities that result in a favorable dose distribution in the patient, balancing probability of cure versus development of radiation-induced complications. Currently, treatment plan generation is an inefficient, time-consuming and fragmented process. Apart from the high workload for the department, this causes enhanced waiting time for patients and it may also impact treatment quality. To tackle these problems, the Erasmus MC Cancer Institute is searching for a postdoctoral researcher to develop and investigate advanced tools for automated real-time treatment plan generation for cancer patients, using artificial intelligence/deep learning for prediction of individualized optimal treatment unit parameters. The developed real-time planning may also offer opportunities to further personalize treatments.
The research will be performed in a multi-disciplinary environment with physicists, mathematicians, scientific programmers, radiation technologists, clinicians, and PhD students and postdocs. The team is broadly recognized as a world leader in the field of automated generation of highest quality plans using mathematical optimization approaches. You will closely collaborate with other investigators involved in projects on deep learning dose prediction. Large curated, high-quality datasets for training of deep learning networks are available. The collaboration with an industry partner can facilitate worldwide clinical application of developed tools. The project is embedded in the postgraduate school of Molecular Medicine of the Erasmus University.

QUALIFICATIONS AND SKILLS

• You are a highly motvated candidate with a master’s degree in artificial intelligence, (computational) physics, (applied) mathematics, operational research, or a related discipline, and a PhD degree with relevance for this project.
• You have experience in software development (Python/Matlab) as well as profound expertise in deep learning model development (e.g. TensorFlow, PyTorch).
• You have proven affinity with writing of scientific papers and preferentially also with writing grant proposals.
• You also have a practical, result-driven working attitude and are an excellent team player.
• Good academic writing and presentation skills in English are required as well.

Before you apply please check our conditions for employment.

Please refer the Job description for details