between cortical activity and behavioural outcome is proving a hinder to the interpretation of the surgical neuroergonomics studies, and hence of the adoption of neuroimaging based quantitative assessment of surgical skills in replacement of the still dominating qualitative approaches.

This project intends to develop computational and statistical solutions to the problem of processing and analysis pipelining of fNIRS neuroimaging data in the context of surgical neuroergonomics with the goal of taking the field of surgical neuroergonomics to a state where it is acceptable for the surgical community to adopt the quantitative outcome. To realize these goals, contributions in computational neuroimaging, algorithmic processing, and data analysis are needed in a truly multidisciplinary project requiring knowledge from fields as diverse as mathematics inc. statistics, optics, neurosciences, and of course, computer sciences.

Applicants should have a strong background in mathematics, statistics and data science, and being enthusiastic about computer sciences. You should have a commitment to research in analyzing fNIRS neuroimaging data with applications in neuroscience. You must have exceptional programming (preferably MATLAB) and communication skills.

This project is in collaboration with Dr Daniel Leff at Imperial College London.

Expected starting date: September 2025

between cortical activity and behavioural outcome is proving a hinder to the interpretation of the surgical neuroergonomics studies, and hence of the adoption of neuroimaging based quantitative assessment of surgical skills in replacement of the still dominating qualitative approaches.

This project intends to develop computational and statistical solutions to the problem of processing and analysis pipelining of fNIRS neuroimaging data in the context of surgical neuroergonomics with the goal of taking the field of surgical neuroergonomics to a state where it is acceptable for the surgical community to adopt the quantitative outcome. To realize these goals, contributions in computational neuroimaging, algorithmic processing, and data analysis are needed in a truly multidisciplinary project requiring knowledge from fields as diverse as mathematics inc. statistics, optics, neurosciences, and of course, computer sciences.

Applicants should have a strong background in mathematics, statistics and data science, and being enthusiastic about computer sciences. You should have a commitment to research in analyzing fNIRS neuroimaging data with applications in neuroscience. You must have exceptional programming (preferably MATLAB) and communication skills.

This project is in collaboration with Dr Daniel Leff at Imperial College London.

Expected starting date: September 2025