PhD - Detecting knee implant loosening using 3D imaging and AI
About the role
You will develop AI based methods to detect implant loosening using CT scans in a non-invasive way. To this end you will develop and investigate geometric deep learning methods for automated segmentation of bone and knee prosthesis components. Subsequently you will investigate how an explainable AI-based decision making approach can be used to estimate the probability that an implant is loose. Aspects of trustworthy AI will be specially addressed in order to obtain a robust decision making method that can be integrated in clinical practice. The end product may be incorporated in a software application for detecting implant loosening.
research AI-based segmentation and decision making algorithms for the assessment of knee implant loosening
publish and present your work in journals and international conferences
be an active part of the research group and its activities
assist in educational activities and supervision of bachelor and master students
You have a background in Artificial Intelligence, Computer Science, Engineering or a related subject at the M.Sc. level. You have a previously demonstrated interest in AI and medical image analysis, in the form of coursework, projects and academic publications, and an affinity with medical topics. You have excellent programming skills, particularly with Python, C++ and ML-related libraries. You have the skills to communicate with both clinicians and engineers and you can make the link between the image analysis methods and biomechanical/medical practice. You have good organizational skills, high motivation in pursuing academic research and an excellent ability to express yourself in English.
A flying start to your career in research work.
Plenty of room for your drive to shape the care of tomorrow.
Working on large-scale and own research, with motivated colleagues.
The position is for 4 years. Starting with a contract for 12 months, to be extended for another 36 months upon evaluation.
In addition to a good basic salary, you also receive an 8.3% end-of-year bonus and 8% holiday allowance. Calculate her the net salary.
Pension accrual with BeFrank, a modern, understandable and fairly priced pension.
Excellent accessibility by public transport and reimbursement of a large part of your travel costs. In addition, we have sufficient parking spaces in front of the door and a good bicycle arrangement..
About the project
Many patients with persistent knee pain receive a knee prosthesis these days. Over time twenty five percent of these treated patients continue suffering from pain, which may be caused by implant loosening. Detecting implant loosening, however, is difficult. Many patients therefore undergo unnecessary surgery since the implant appears fixed.
In a collaboration between engineers, physicists and surgeons we have developed an image based, non-invasive, method which allows us to determine whether or not a knee prosthesis is fixed to the bones. The current image analysis software is at a level that it can be used by an expert user. To enable utilization of the method at the “bed side”, e.g. by surgeons, development of a dedicated software tool is required that is optimized for prosthesis loosening analysis. Within the project we aim at developing AI based methods to automate necessary segmentation steps and predict detection of implant loosening from CT images.
About the workplace
The Biomedical Engineering & Physics department (BMEP) is a multidisciplinary research environment in which physicists, engineers, biologists, and clinicians work together to bridge the gap between engineering and physics at one side and life sciences and clinical medicine at the other. The goal of our research is to provide increased understanding of pathological processes and to contribute to the development and improvement of diagnostic and therapeutic tools. The clinical applications of technologies developed at the BMEP department include oncology, cardiovascular diseases, movement disorders, and forensic biophysics. You will be embedded in the qurAI group, an interfaculty group between the Institute of Informatics of the University of Amsterdam and the Medical Imaging group of the BMEP department of the Amsterdam University Medical Centers (AUMC). We focus on the development, validation and clinical integration of AI solution for data analysis challenges in healthcare. You will work under the supervision of Prof. Clarisa Sánchez from the qurAI group, who will also serve as your promotor, and Dr. Geert Streekstra, and Dr. Iwan Dobbe from the BMEP department, who will serve as your co-promotors. You will work in close collaboration with Dr. Leendert Blankevoort and his team at the Orthopaedic Surgery department at AUMC.
The first round of job interviews is scheduled to start mid-november.
Do you have any questions? For substantive information, please contact Prof. Clarisa Sánchez via firstname.lastname@example.org or Dr. Leendert Blankevoort via L.Blankevoort@amsterdamumc.nl.
For more information about the application process, please contact Tanja Hart, Recruitment advisor via email@example.com or via 06-21603178.
A reference check, screening and appointment check can be part of the procedure. Read here whether this also applies to you. If you join us, we will ask for a VOG (“Verklaring Omtrent Gedrag”: Statement of Good Conduct).
In case of equal suitability, internal candidates will be given priority over external candidates.
Acquisition in response to this vacancy is not appreciated.