Summary
The Jülich Centre for Neutron Science is offering a PhD position focused on utilizing machine learning and artificial intelligence to enhance the understanding of diffuse scattering in materials science. The selected candidate will contribute to innovative research that intersects crystallography, material science, and advanced computational techniques.
PhD Position in Machine Learning and Artificial Intelligence, Germany
Designation
PhD Candidate – Machine Learning and Artificial Intelligence for the Understanding of Diffuse Scattering
Research Area
- Machine Learning
- Artificial Intelligence
- Crystallography
- Material Science
Location
Jülich Centre for Neutron Science (JCNS-2), Germany
Eligibility/Qualification
| Criteria | Details |
|---|---|
| Educational Background | Completed Master’s degree in Crystallography, Material Science, Physics, Chemistry, or related fields |
| Knowledge & Skills | Interest in scattering methods; programming skills; prior knowledge of machine learning is a plus |
| Language Proficiency | Very good command of written and spoken English (at least B2 level according to CEFR) |
| Personal Qualities | Independent, responsible, team-oriented, and collaborative |
Description
The PhD candidate will engage in research that focuses on understanding how disorder impacts structural stability and properties of materials. The role involves:
- Developing models of structural disorder based on periodic average structures and crystal chemistry.
- Generating datasets to train machine learning models.
- Simulating diffraction patterns and comparing them to experimental data.
- Creating a generalized machine learning-based workflow for interpreting diffuse scattering.
How to Apply
Interested candidates should submit their application through the provided contact form on the official website. Note that applications cannot be accepted via email.
Last Date to Apply
The job will be advertised until the position is successfully filled. Thus, candidates are encouraged to apply as soon as possible.
For any further inquiries or to access the application form, please refer to the official webpage of the Jülich Centre for Neutron Science.
