Research Aide - XSD - Segal, Nofit - 2.24.26
About The Position
Machine Learning for Crystal Structure Determination from Powder X-Ray Diffraction This project focuses on advancing machine learning approaches for solving crystal structures from powder X-ray diffraction (PXRD) data. The student will develop a differentiable forward simulator for PXRD patterns that realistically captures both instrument-specific and sample-dependent parameters, enabling it to be seamlessly integrated into end-to-end ML training pipelines. Alongside this, the student will contribute to the creation of high-quality benchmark datasets and help establish standardized evaluation metrics, with the goal of enabling rigorous, consistent comparison of modern ML models for crystal structure prediction from PXRD. The work sits at the intersection of computational physics, materials science, and machine learning, and will directly support the broader community's efforts to make automated structure determination faster and more reliable. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Applicants must be: Currently enrolled in undergraduate or graduate studies at an accredited institution. Graduated from an accredited institution within the past 3 months; or Actively enrolled in a graduate program at an accredited institution. Must be 18 years or older at the time the appointment begins. Must possess a cumulative GPA of 3.0 on a 4.0 scale. If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies. Must complete a satisfactory background check.
Requirements
- The entirety of the appointment must be conducted within the United States.
- Currently enrolled in undergraduate or graduate studies at an accredited institution.
- Graduated from an accredited institution within the past 3 months; or Actively enrolled in a graduate program at an accredited institution.
- Must be 18 years or older at the time the appointment begins.
- Must possess a cumulative GPA of 3.0 on a 4.0 scale.
- If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies.
- Must complete a satisfactory background check.
Responsibilities
- Develop a differentiable forward simulator for PXRD patterns.
- Contribute to the creation of high-quality benchmark datasets.
- Help establish standardized evaluation metrics.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
