Two PHD positions Artificial Intelligence in Medical Imaging

Monday 8th March 2021

Closing date: April 5 2021
Description: 
The “Knowledge-Driven AI Lab” (KDAI Lab) at the Department of Imaging Physics, Faculty of Applied Sciences is devoted to the development and application of AI in applied sciences. We aim to strengthen today’s data-driven AI through integrating fundamental knowledge of imaging physics.
KDAI has 2 PhD vacancies for AI research in medical imaging:
(1) Research on AI methods integrating imaging physics. Your role is to develop AI methods that go beyond the data-driven principle and actively integrate the imaging physics of data (e.g. MRI, CT). The goal is to make the AI algorithms fundamentally robust and generalizable to data sources, including different manufacturers and medical centers. 
(2) Research on explainable medical imaging AI. You role is to investigate explainable AI (XAI), in the scenario of medical imaging. This includes post-hoc understanding and visualization of complex deep neural networks for medical image analysis, and integration of explainability into the medical imaging AI algorithm design.

Requirements
• An MSc degree in (applied) physics, (applied) mathematics, computer science, electrical engineering, data science, artificial intelligence, or related fields.
• Interest in modern AI principles and applications.
• Proficiency in programming languages C/C++, Matlab, Python.
• Proficiency in written and verbal English.
• The ability to work in a team, take initiative, and be results-oriented.
• An affinity with teaching and guiding students.
• An affinity with medical imaging, image analysis, and clinical applications will be a plus.


Delft University of Technology (TU Delft)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context. At TU Delft we embrace diversity and aim to be as inclusive as possible. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Conditions of employment
TU Delft offers DAI-Lab PhD-candidates a 5-year contract, with an official go/no go progress assessment after one year. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3217 in the fifth year.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.
The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. Application procedure
Are you interested in this vacancy? Please submit the following in two pdf files: (pdf 1) 1-page Motivation letter, your CV, undergraduate and graduate transcripts; (pdf 2) a (part of your) M.Sc. thesis or a paper that you have written, in which you demonstrate your writing skills. Please highlight in your motivation letter which Ph.D. position you are interested in and highlight examples of projects and achievements that demonstrate your relevant competences.

 

Organization Delft University of Technology
Location Delft, The Netherlands
Title Two PHD positions Artificial Intelligence in Medical Imaging
URL https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details/?nPostingId=1160&nPostingTargetId=2221&id=QEZFK026203F3VBQBLO6G68W9&LG=NL&mask=external
Email Address Q.Tao-1@tudelft.nl