PhD Fellowship in Physics-Informed Data Analysis: The Department of Computer Science at the University of Copenhagen is offering a PhD fellowship in Physics-Informed Data Analysis for Biosciences, a part of the research project on “Differentiable Physical Models for Data Analysis in Biology”, sponsored by the Novo Nordisk Foundation.
PhD Fellowship in Physics-Informed Data Analysis for Biosciences
Designation: PhD Fellow
Research Area: Physics-Informed Data Analysis for Biosciences
Location: Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark
Eligibility/Qualification:
- Completion of a degree program equivalent to a Danish master’s degree in fields like physics, computer science, or applied mathematics.
- Background or experience in biophysical systems and machine learning is advantageous.
- Strong interest in the intersection of machine learning, physical simulation, and biology.
Job Description:
- Conduct independent research focusing on improving data analysis of biophysical/biomedical data by integrating physical modeling and deep learning.
- Shape research problems creatively within the project scope.
- Explore areas such as computer vision, development of differentiable physical models, and more.
- Collaborate with experts in various fields within the department.
- Produce high-impact scientific papers and defend a PhD thesis based on the research project.
How to Apply:
- Submit your application in English via the “APPLY NOW” button on the department’s website.
- Include a motivated letter of application, CV, original diplomas for BSc/MSc, publication list (if available), reference letters (if available), and optionally, an example of your code.
Last Date for Apply: 4 August 2024, 23:59 GMT+2
This is an exciting opportunity to delve into cutting-edge research at the intersection of physics, data analysis, and biosciences. Apply now and be part of a dynamic and collaborative research environment at the University of Copenhagen.
