Post-doctoral position in machine-learning for biophotonics and neurocritical care

Positions (Post-doctoral, Ph.D.) are available in an inter-disciplinary project coordinated by Medical Optics group led by Prof. Dr. Turgut Durduran to apply machine-learning methods to derive intracranial pressure (ICP) from non-invasive, diffuse correlation spectroscopy data. The project is based on a long-standing collaboration between ICFO and Hospital Vall d’Hebron in Barcelona area. We have previously shown that ICP, normally measured invasively, can be estimated from non-invasive optical data. In this project, we will acquire data from different patient cohorts to increase the training set, we will get data from patients without monitors to test predictive capabilities and we will work with collaborators from USA to utilize pre-clinical models. The machine-learning aspect of this work will be co-supervised by Prof Gema Piella Fenoy (U. Pompeu Fabra) and the clinical studies will be done in collaboration with Dr. M. A. Poca (Vall d’Hebron Hospital).

For further information on the project and groups see:

Fischer, Jonas B., et al. "Non-invasive estimation of intracranial pressure by diffuse optics: a proof-of-concept study." Journal of neurotrauma 37.23 (2020): 2569-2579.

Barcelona Medical Photonics Network, https://barcelonamedicalphotonics.icfo.eu/

Durduran, Turgut, and Arjun G. Yodh. "Diffuse correlation spectroscopy for non-invasive, micro-vascular cerebral blood flow measurement." Neuroimage 85 (2014): 51-63.

Durduran, Turgut, et al. "Diffuse optics for tissue monitoring and tomography." Reports on Progress in Physics 73.7 (2010): 076701.