Radboud University in the Netherlands invites applications for a PhD scholarship in Deep Transfer Learning for Medical Image Analysis in 2019.
Medical imaging data is often heterogeneous: it is generated using different scanners, different scanning protocols or different imaging modalities. Training machine learning models for medical diagnosis on such data from different domains can be difficult, but transfer learning can help: by transforming input from different domains to a common representation, datasets from multiple sources can be used at train and test time within a single classification model. Learning input transformations yielding improved diagnostic performance using multiple related sources of information is a challenging research task.
In this PhD project you will be developing and testing novel machine learning algorithms for transfer learning that can be applied to improve diagnosis of breast cancer from mammography image data from different sources. The large amount of data made available during this project will make it possible to use cutting-edge techniques based on deep learning.
The project involves three partners: the Radiology department of the Radboud university medical centre, the Data Science group of the Institute for Computing and Information Sciences (iCIS), and a company called SigmaScreening. You will be working at iCIS and collaborate with other PhD candidates and postdoctoral researchers appointed by iCIS or one of the other project partners.
The Data Science group’s research concerns the design and understanding of (probabilistic) machine learning methods, with a keen eye on applications in other scientific domains as well as industry. The Data Science section is part of the vibrant and rapidly expanding Institute for Computing and Information Sciences (iCIS). iCIS is consistently ranked as the top Computer Science department in the Netherlands (National Research Review of Computer Science 2002-2008 and 2009-2014).
Worth of Award
The PhD scholarship in Medical Image Analysis covers the following:
- employment: 1.0 FTE;
- the starting salary is €2,325 per month on a full-time basis, the salary will increase to €2,972 per month in the fourth year (P scale);
- in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus;
- duration of the contract: 4 years;
- your performance will be evaluated after 18 months. If the evaluation is positive, the contract will be extended;
- you will be classified as a PhD Candidate (promovendus) in the Dutch university job-ranking system (UFO);
- you will be able to make use of their Dual Career Service where their Dual Career Officer will assist with family related support, such as childcare, and help your partner prepare for the local labour market and with finding an occupation.
- You have an MSc degree in computer science, mathematics, or a related discipline.
- You are open-minded, with a strong interest in multidisciplinary research and a solid background in machine learning, and you are highly motivated to perform scientific research.
- As you will be working in a multidisciplinary environment, you need to be flexible, communicative and able to work in a multidisciplinary team.
How to Apply
You should upload your application (attn. of Ms. W. (Wendelien) van der Pluijm) exclusively using the button ‘Apply’. Your application should include (and be limited to) the following attachment(s):
- Letter of motivation
- CV including contact details of two referees
Deadline: Applications for the Phd scholarship in Medical Image Analysis closes on July 30, 2019.