We are looking for candidates with a background in computer science, physics or similar with relevant expertise for a postdoc position for Amsterdam UMC, location AMC.
Deformable image registration is the process of aligning two images by determining the transformation that maps points in one image to their corresponding points in the other image. Deformable image registration has potentially huge added value to many applications in healthcare since images form a cornerstone for many diagnoses, treatments, and follow-up in modern medicine. Key reasons why clinical implementation has proven to be extremely challenging are lack of robustness, limited success for registration problems involving large deformations or content mismatches, and a lack of insightful tuning possibilities. In this project, we aim to go beyond the proof-of-concept stage of a novel, multi-objective, approach to deformable image registration for which a pilot implementation was previously made by the Amsterdam UMC, location Academic Medical Center (AMC) and Centrum Wiskunde & Informatica (CWI; the Dutch national research institute for mathematics and computer science). In multi-objective optimization, a set of solutions that represents efficient trade-offs between the objectives is computed and presented at once.
We will focus on the utilization of this approach within a key medical area that stands to benefit from accurate deformable image registration: radiation therapy. With this project we wish to truly bridge the gap between theoretically powerful deformable image registration software and real-world practically (i.e., clinically) useful software tools to realize the true potential of deformable image registration for radiation therapy and ultimately improve the treatment (i.e., make radiation therapy more effective thereby reducing mortality rate and adverse side effects). We aim to arrive at a stage of development where commercial parties will be interested to integrate our technology within their software.
We currently specifically seek candidates for two subprojects:
1) Building and validation of biomechanical deformation models that
2) Design, development, and validation of a graphical user interface (GUI) and software system to present the set of registration solutions (i.e., trade-offs) intuitively and to ensure insightful and fast navigation so that the best solution can easily be selected by medical experts. This research will be done in close collaboration with potential users: medical experts at AMC, including radiation oncologists, clinical physicists, and radiation therapy technologists.
This project will ultimately consist of four full-time research positions and a part-time radiation therapy technologist position.
Candidates are required to have an M.Sc. and Ph.D. degree in computer science, physics, or similar areas with relevant experience, and a clinical research interest. If you are obtaining your Ph.D. degree before April 2019, you are also invited to respond.
It is essential that you have a clear interest in working both on fundamental research as well as on applying this research, in collaboration with academic partners and company partners. We expect a flexible, can-do mentality and attitude with a willingness to cooperate with experts across different disciplines (including computer science, physics, and medicine). Further, you are highly motivated to develop your skills as an independent researcher.
Applicants are required to have substantial programming skills (C/C++ experience is a pre). Applicants are further expected to have an excellent command of English.
These positions are available within the project titled “Multi-Objective Deformable Image Registration (MODIR) – An Innovative Synergy of Multi-Objective Optimization, Machine Learning, and Biomechanical Modeling for the Registration of Medical Images with Content Mismatch and Large Deformations”. This project is funded within the Open Technology Programme (OTP) of the Dutch Organization for Scientific Research NWO Domain Applied and Technical Sciences (TTW, formerly Technology Foundation STW) with industrial partners Elekta and Xomnia. The project is a collaboration between the department of Radiation Oncology of the Amsterdam UMC, location AMC and the Life Sciences and Health research group of the CWI, both located in Amsterdam, the Netherlands. AMC and CWI closely collaborate on multiple joint projects in which they work on innovations along the entire spectrum from algorithmic foundations to clinical integration. Candidates are expected to spend at least one day per week at the CWI. The academic and company partners involved in this project represent a core of excellence in image-guided radiation treatment, evolutionary computation, and applied machine learning.
We offer you ample opportunity for development, deepening and broadening, additional training and a place to grow! Working at AMR means working in an inspiring and professional environment where development is encouraged in every respect.
For an overview of all our other terms of employment, see www.werkenbijamc.nl/arbeidsvoorwaarden-amr
If you would like to apply directly, please use the ‘apply’ button on this page.
Apllications will be processed after the 10th of December.
If you would like more information, please feel free to contact Tanja Alderliesten , via firstname.lastname@example.org.
We look forward to meeting you!