PhD Scholarship in Machine Learning for Assisting Atomic-resolution Electron Microscopy

Applicants are invited to apply for a PhD scholarship at Technical University of Denmark. Candidates are welcome before September 15, 2019.

The section for Computational Atomic-scale Materials Design (CAMD) at the Department of Physics is seeking an outstanding candidate for a position as PhD student. The main focus of CAMD is developing and applying modern simulation methods and machine learning methods within the field of solid-state physics and atomic-scale materials physics.

The student will be part of a research project in collaboration with DTU Nanolab on developing deep learning methods for automated and quantitative analysis of atomic-resolution electron microscopy images.

You will be responsible for developing methods that enable electron microscopists to analyse their data on the fly and identify interesting "events" in image sequences, and methods that can extract information from images series that is not normally available in transmission electron microscopy, such as information about chemical elements and 3D structures. With machine learning, we expect to be pushing the boundaries for what is possible to achieve with electron microscopy. You will be employed in the CAMD group consisting of four faculty members and 20 PhD students and postdocs. You will be collaborating with the experimental scientists in DTU Nanolab, a leading laboratory for electron microscopy.

During your employment as a PhD student, you will acquire expert skills in

Candidates may apply prior to obtaining their master’s degree but cannot begin before having received it.

All interested candidates irrespective of age, gender,race, disability, religion or ethnic background are encouraged to apply.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent university collaborating globally with business, industry, government and public agencies.


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