AI Fellowship Program

As part of the SustAInLivWork project, we offer international AI Fellowships at our institute. An overview of possible research topics related to "Healthy Living" are listed below. On the SustAInLivWork homepage you will find all relevant information on the application process.

As a fellow in our program, you can engage in various hands-on research projects spanning multiple areas. You will have the opportunity to work with state-of-the-art GPUs and to extend our existing software frameworks. By bringing in your own ideas, you will conduct impactful research in various medical domains. A good understanding of machine learning concepts and proficiency in Python are recommended for this internship. Join us at MTEC to be part of pioneering efforts in transforming healthcare through AI.

AI for Search and Optimization

Our research field in planning and optimization focuses on treatment planning for radiation therapy and brachytherapy, as well as optimization of robot configurations and movements. As a fellow in our program, your tasks would involve a hands-on research project in finding the optimal position of a robot during clinical procedures or active compensation of patient movements during radiation therapy. A basic understanding of optimization problems and Java coding are advantageous.

AI for Signal and Image Processing

In our lab, we use different imaging modalities such as ultrasound and optical coherence tomography, each of which offers different advantages. The combination of different image and signal modalities enables more precise applications in healthcare, assisting physicians in areas such as force estimation, biopsy procedures, tissue characterization, and tissue tracking. In particular, we focus on real-time evaluation, where traditional methods reach their limits and AI opens up new possibilities and approaches for research and development.

AI for Robotics and Navigation

Robot-assisted medical procedures have evolved significantly over the past decade and offer immense potential for the application of AI to create intelligent robotic systems. In our lab, we have the opportunity to develop unique experiments and can create custom data sets to test and validate our approaches with our own robots. During your fellowship, you will join our efforts in ongoing research, which ranges from robotic ultrasound and robot-assisted needle insertions to robotic radio therapy or surgical instrument pose estimation.

AI for Medical Image Analysis

Our research in AI for medical image analysis focuses on developing innovative deep learning models to improve diagnostic accuracy and treatment outcomes. Research directions include developing novel architectures to detect anomalies in MRIs, CTs or other modalities. You might also focus on processing complex, multi-dimensional data acquired in our laboratories with high-end optical coherence tomography or ultrasound devices. Additionally, improving the accuracy and efficiency of segmentation models for endoscopic videos or intraoperative phase recognition are possible topics.