Fully Funded PhD Positions at the University of Oklahoma, USA – Spring 2027

Summary

Three funded PhD positions are available to join a research group at the University of Oklahoma (OU) starting January 2027. The research focuses on using deep learning to extract subtle structural information about quantum materials from weak and noisy electron diffraction data.

Funded PhD Positions in Deep Learning for Quantum Materials

Designation

PhD Research Student / Doctoral Researcher

Research Area

• Deep Learning & Artificial Intelligence
• Quantum Materials
• Electron Diffraction
• Physics-Informed Neural Networks (PINNs)
• Generative Models for Material Structure Reconstruction
• Uncertainty Quantification
• Materials Science & Computational Materials Research

Location

📍 University of Oklahoma, USA

Eligibility / Qualification

• Master’s degree required.
• Applicants must currently be located in the United States.
• Strong interest or experience in deep learning is expected.
• Background in Materials Science, Physics, or Chemistry is helpful but not mandatory.
• Candidates can pursue the PhD through:
  • Materials Science
  • Mechanical Engineering
  • Aerospace Engineering

Job Description / Research Responsibilities

Selected students will work on developing deep-learning approaches for recovering structural information about quantum materials from weak and noisy electron diffraction data.

Possible research directions include:

• Developing physics-informed neural networks for materials research.
• Creating generative models to reconstruct material structures.
• Developing uncertainty-estimation methods to assess reconstruction reliability.
• Using AI to identify where additional measurements should be performed.
• Applying deep learning to address fundamental scientific questions in quantum materials.

Applicants are particularly encouraged if they are excited about deep learning and its application to scientific discovery.

How to Apply

Interested candidates should email their CV to:

📧 iman@ou.edu

The email should include a short note describing:

1. Your experience with deep learning.
2. Previous projects you have worked on.
3. Research directions that interest you.

Email Subject:
“PhD Application Spring 2027”

Last Date to Apply

Until position filled

⚠️ Since the position starts in January 2027, interested applicants are encouraged to contact the professor as soon as possible.

🔬 A great opportunity for students interested in AI, deep learning, quantum materials, and computational materials research.