The Ph.D. candidate must fulfil the requirements of the Doctoral School recruitment in the host country.
A master’s degree (recognized by the host country) is required, with a profound background in computer science or physics/biomedical engineering/electrical engineering with a record of training in computer science courses (as a part of M.Sc. curricula or other).
We are seeking an enthusiastic, self-motivated Ph.D. candidate who has a strong foundation in machine (deep) learning with a strong interest in image processing methods and signal processing methods applied in the (bio)medical
domain.
The applicant must have proficiency and experience in Python programming, development of deep learning models for image classification or regression using PyTorch or TensorFlow frameworks, evaluation of machine learning
models, and development of image processing methods.
A solid background in mathematics is required. Demonstrated skills in written and oral English are required.