Ph.D. Scholarship in Computational Imaging: The Computational Microscopy group at FAU Erlangen-Nürnberg is offering a Ph.D. scholarship in Computational Imaging in Electron Microscopy. The successful candidate will work on developing advanced algorithms for large-scale multi-dimensional reconstruction of electron-microscopy datasets with a focus on atomic-scale imaging.
Ph.D. Scholarship in Computational Imaging in Electron Microscopy
Designation:
Ph.D. Student (Dr. Ing.) in Computational Imaging in Electron Microscopy
Research Area:
Computational Imaging, Electron Microscopy
Location:
FAU Erlangen-Nürnberg, Germany
Eligibility/Qualification:
- M.Sc. in physical sciences, computer science, computational engineering, materials science, applied mathematics, or related field
- Proficiency in scientific Python programming
- Excellent communication and interpersonal skills
- Self-motivated with the ability to work effectively in a team environment
- Experience with machine learning frameworks such as PyTorch, TensorFlow, Jax (preferred)
- Background in diffraction physics, crystallography, or modern microscopy methods
- Knowledge in data acquisition at aberration-corrected STEMs
- Familiarity with developing and deploying AI models
- Experience in Computer Vision or Computational Imaging
- Demonstrated record of collaborative software development
Job Description:
- Develop and test new approaches and algorithms for large-scale multi-dimensional, multi-modal reconstruction of electron-microscopy datasets
- Design, optimize, and execute multidimensional STEM experiments
- Publish and present research findings to the scientific community
How to Apply:
Interested candidates should send their application (motivation letter and CV) to philipp.pelz@fau.de. Applications from underrepresented minorities are encouraged. The position is limited to four years and will remain open until filled.
Last Date for Apply:
Applications will be accepted until the position is filled.
