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-The Computational Microscopy group of Prof. Dr. Philipp Pelz at FAU Erlangen-Nürnberg offers a position as
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-Ph.D. Student Computational Imaging in Electron Microscopy (m/f/x)
-(subject to personal qualifications, remuneration according to salary group E 13 TV-L 75-100%)
-starting September 15th 2024 or earliest date possible.
-Position and tasks
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-- Develop and test new approaches and algorithms for large-scale multi-dimensional, multi-modal reconstruction of electron-microscopy datasets at the atomic-, nano-, and microscale
-- Design, optimize, and execute multidimensional STEM experiments
-- Publish and present the results of these studies to the community.
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-Position Requirements
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-- M.Sc. in computer science, computational engineering, physical sciences, materials science, applied mathematics or a related discipline.
-- Proficiency in scientific Python programming.
-- Excellent communication and interpersonal skills to be able to interact effectively with a diverse group of scien-tists and technical staff.
-- Self-motivated and able to work in a team environment.
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-Preferred Knowledge, Skills, and Abilities (experience in one or more of the following):
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-- Experience with machine learning frameworks such as PyTorch, TensorFlow, Jax
-- Background in diffraction physics, crystallography, or modern microscopy methods
-- Data acquisition at aberration-corrected STEMs
-- Developing and deploying AI models.
-- Background in Computer Vision or Computational Imaging
-- Demonstrated record of collaborative software development, especially in distributed teams.
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-Our group develops advanced algorithms for efficient processing, reliable reconstruction, and automated information extraction from multidimensional microscopy datasets, predominantly in electron and X-ray microscopy.
-We have for the first time reconstructed large phase-contrast volumes at atomic resolution beyond the traditional limits of electron microscopy.
-You project will revolve around further developing the algorithms and applying them to image challenging materials systems, like metal-organic frameworks and other beam-sensitive materials.
-We offer access to state-of-the-art aberration-corrected electron microscopes and a lab-based x-ray microscope at the Center for Nanoanalysis and Electron Microscopy, access to high-performance computing resources at the Erlangen National High-Performance Computing Center, and the enthusiastic support of an early-career principal investigator.
-For informal inquiries, please get in touch with Philipp Pelz (philipp.pelz@fau.de). Applications from underrepresented minorities are particularly welcome. Your application (in English or German) must include a motivation letter and your CV.
-Applications will be accepted until the position is filled.
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