Computational Video Analysis for High-Speed Atomic Force Microscopy (HS-AFM)

Are you passionate about using computational techniques to help unravel the mysteries of life at the molecular level? Do you dream of making a real impact on fields like materials science, medicine, and disease research? 

The Challenge: Currently, our understanding of the dynamics of complex molecules is limited by the lack of techniques that can capture their behaviors at both high speeds and resolutions. HS-AFM, with its remarkable capability to record sub-nanometer-resolution videos at >50 frames per second, has changed the game. However, making sense of this wealth of data requires specialized analysis tools. The goal of this project is to further develop analysis methods for HS-AFM.

In this PhD, you will embark on an exciting journey of discovery, innovation, and collaboration. Acquire expertise in the latest video analysis tools for HS-AFM, putting you at the forefront of molecular research.

• Advance Scientific Knowledge: Use your skills to improve our understanding of complex molecules, with a particular focus on those associated with diseases like cancer.

• Create New Algorithms: Develop cutting-edge algorithms and analysis methods to extract valuable new insights from HS-AFM videos.

• Collaborate Across Disciplines: Work alongside researchers from diverse fields, including Medicine, Biology, Physics, and Chemistry, to answer critical biophysical and biomedical questions.

Overall this project will involve a combination of algorithm development, data analysis and experimental validation so will require some programming experience. The results of this project will be useful for a wide range of applications including advancing our knowledge of molecular mechanisms and their implications in treating diseases.