PhD Scholarship in Electron Microscopy: The Institute for Advanced Simulation – Materials Data Science and Informatics (IAS-9) offers a PhD position focusing on the application of deep learning techniques to advance electron microscopy. The research will enhance the understanding of lattice defects, such as dislocations, crucial for material behavior and reliability.
PhD Scholarship in Deep Learning for Dislocation Analysis in Electron Microscopy
Designation
PhD Candidate in Deep Learning for Dislocation Analysis
Research Area
- Deep Learning
- Electron Microscopy
- Materials Science
- Computer Vision
- Data Science
Location
Jülich, Germany (Forschungszentrum Jülich and TZA Aachen)
Eligibility/Qualification
- Completed university degree (Master or equivalent) in:
- Computer Science
- Data Science
- Applied Mathematics
- Physics
- Materials Science
- Related Field
- Prior experience in:
- Computer Vision
- Deep Learning
- Signal Processing (familiarity with microscopy data is beneficial but not mandatory)
- Proficiency in Python and experience with ML/DL frameworks like PyTorch or TensorFlow
- Strong analytical and communication skills
- Ability to work independently and collaboratively
Job Description
- Develop self-supervised learning frameworks for high-resolution microscopy data.
- Train and evaluate segmentation models for defect detection and characterization.
- Apply generative models (e.g., GANs, diffusion models) to augment microscopy datasets.
- Investigate domain adaptation techniques across different imaging modalities.
- Collaborate with experimental partners to validate methods and integrate tools into workflows.
- Disseminate findings through scientific publications and international conferences.
How to Apply
Interested candidates should submit their application, including:
- CV
- University degree certificates
- Grade transcripts
- Two references and/or letters of recommendation
- A motivation letter highlighting relevant experience
Applications must be submitted via the designated contact form; email applications will not be accepted.
Last Date to Apply
Applications will be accepted until the position is filled. It is recommended to apply as soon as possible.
