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

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. PLEC2022-009290 funded by MCIN/AEI/ 10.13039/501100011033 and by the “European Union NextGenerationEU/PRTR. Post-doctoral candidates must hold an internationally-recognized Ph.D.-equivalent degree (or evidence of its completion in the nearest future) in a related field using machine-learning for signal processing. PhD candidates must hold an internationally-recognized Master.-equivalent degree (or evidence of its completion in the nearest future) in a related field using machine-learning for signal processing. Expertise in machine-learning for time-series analysis, biomedical signal processing, biomedical optics, diffuse optics are a plus. ICFO is an equal opportunity employer. Candidates are selected exclusively on merit and potential on the basis of submitted application material. No restrictions related to disabilities, citizenship or gender apply to ICFO positions. ICFO abides by the principles of openness, efficiency, transparency, supportiveness, and international comparability as stated in the European Charter for Researchers and the European Code of Conduct for the Recruitment of Researchers. Salary is offered according to the institutional salary scales. The contract is offered for a period of 3 years. Additionally, a family allowance is also available on request and after corresponding approval for people with family charges in the terms described in the corresponding policy.

Suitable Post-doctoral candidates are requested to submit: - Presentation letter with a declaration of interest, - Curriculum Vitae, including contact details, - The contact e-mail of two potential referees. Note: Ph.D. candidates should follow ICFO’s general Ph.D. admission process as described at https://jobs.icfo.eu/?detail=751. Please also contact Turgut.Durduran@icfo.eu. Candidates will be assessed as they apply and the call will remain open until the suitable candidate is identified. Candidates may contact jobs@icfo.eu for formal enquiries regarding the application, as well as address scientific enquiries to Turgut.Durduran@icfo.eu. For update information about the hosting group, please visit https://www.icfo.eu/research-group/16/medical/home/437. For updated information about ICFO, please visit https://www.icfo.eu.