The Interactive Augmented Modelling research group (http://iam.cvc.uab.es) from the Computer Vision Center (www.cvc.uab.es) offers a 1 year post-doctoral contract associated to the Up4Health project, funded by Ministerio de Ciencia, Innovación y Universidades (MCIU), Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER).
The goal of the project is to develop multi-view predictive methods able to model clinical data uncertainty dynamically collected from user interactions and multimodal sensors and scans. Uncertainty in data (coming from either manual annotations or scan parameters) will be included in classifiers’ training by optimizing several measures of feature variability along with the classification loss in a multi-objective approach implemented in a deep learning architecture with multi-task learning.
Methods will be applied to two medical application scenarios:
- Lung Cancer Personalized Early Diagnosis (LuCaD).
- Driving Performance evaluation of patients with Neurodegenerative Diseases (NeuroDrive).
The candidate must have a degree in Mathematics (preferable), Physics or Engineering. A master in computer vision, mathematical modelling for engineers or similar is required. The ideal candidate should have a strong mathematical background, computational skills, fluent English and be fond of medical image processing.
How to apply?
People interested must send CV through the online form, indicating offer code: 20200708_IAM. The online form can be accessed here: http://www.cvc.uab.es/?page_id=107
Application period is from 31 July to 14 August
“This project has received funding from the Ministerio de Ciencia, Innovación y Universidades (MCIU), Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER). Project reference: RTI2018-095209-B-C21″