PhD on Physics-Informed Machine Learning for Cancer Metastasis

PhD on Physics-Informed Machine Learning for Cancer Metastasis

Are you eager to make a difference in the fight against cancer whilst applying and developing your skills in machine learning, physics, mathematics & computer science, and biomedical engineering? Then this PhD position at Eindhoven University of Technology might be for you.

Position

PhD-student

Irène Curie Fellowship

No

Department(s)

Applied Physics and Science Education

FTE

1,0

Date off

02/07/2023

Reference number

V34.6651

Job description

We are seeking an enthusiastic PhD candidate to join our interdisciplinary team working on a new cutting-edge project at the intersection of AI, Physics, and Oncology. The goal is to develop and implement a physics-informed, generative AI method for modeling and predicting tumor cell dynamics from static microscopic images. The successful candidate will work closely with a team of experts in statistical physics, biophysics, image analysis, and deep learning/AI to develop novel biomarkers based on cell dynamics.

As a PhD candidate, you will be part of the Eindhoven Artificial Intelligence Systems Institute (EAISI) and collaborate with researchers from the TU/e departments of Applied Physics, Computer Science & Mathematics, and Biomedical Engineering. You will also have the opportunity to collaborate with industrial partners, clinicians and other experts in the field, and to contribute to the education of our students.

The position is available immediately and will be performed under the supervision of Profs. Liesbeth Janssen (Applied Physics), Sibylle Hess (Mathematics & Computer Science), and Mitko Veta (Biomedical Engineering).

Job requirements

A master's degree (or an equivalent university degree) in Physics, Mathematics, Computer Science, Biomedical Engineering, or a related field.

Affinity with AI/machine learning, computer simulations, statistical physics, and biomedical science.

Experience in programming (e.g. in Python, Matlab, C/C++ or other programming language).

Optional: Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch) is a plus, and knowledge of statistical theoretical/computational physics, biophysics, or image analysis is also an advantage.

Excellent problem-solving skills and ability to work independently and collaboratively in a multidisciplinary team.

Strong written and oral communication skills in English.

Conditions of employment

We offer a meaningful job in a dynamic and ambitious university, in an interdisciplinary setting, and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer the following conditions:

Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.

Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P..

A year-end bonus of 8.3% and annual vacation pay of 8%.

High-quality training programs and other support to grow into a self- aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.

An excellent technical infrastructure, on-campus children's day care and sports facilities.

An allowance for commuting, working from home and internet costs.

A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Information and application

About us

Eindhoven University of Technology (TU/e) is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands- on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.

The Eindhoven Artificial Intelligence Systems Institute (EAISI) is a recently developed institute that brings together all AI activities of the TU/e. Top researchers from various departments and research groups work together to create new and exciting AI applications with a direct impact on the real world. All this in close collaboration with our students and representatives from industry.

Information

Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager dr. Liesbeth Janssen, Chair of Soft Matter and Biological Physics, at l.m.c.janssenattue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services Flux at HRServices.fluxattue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application by using the apply button. The application should include a:

Cover letter in which you describe your motivation and qualifications for the position.

Curriculum vitae, including a list of your publications and the contact information of at least two academic references.

Academic transcripts of your grades.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.