The Department of Physics, Applied Physics and Astronomy at Rensselaer Polytechnic Institute has an opening for an outstanding postdoctoral research fellow in the inter-disciplinary area of materials informatics (materials science and machine learning). The research will aim to study two-dimensional magnetic materials using first-principles calculations and machine learning.

We will exploit ML models to support investigations of 2D magnetic materials using high-throughput density functional theory (DFT) calculations. We will use ML to search for novel 2D magnetic materials and to uncover physical insights for magnetic ordering in two dimensions. This work will involve datamining of existing materials databases, as well as creating new materials databases using DFT. ML models will be leveraged to extract physical insight into the problem of magnetic ordering in reduced dimensions.

We are seeking excellent postdoctoral candidates with a PhD in one of the following areas: chemistry, physics, computer science, chemical engineering or electrical engineering. Expertise in magnetic materials is preferred. The scientific focus includes, but is not limited to:

• Electronic structure and magnetic properties
• Creating a materials database of 2D materials using high-throughput DFT.
• Designing ML tools for 2D materials’ property prediction.

Required education and skills:

• The candidate must have significant programming experience in one of the following languages: Python, Fortran, C, C++, Java or Matlab.
• Expertise in
  • Condensed-matter physics
  • Density functional theory calculations
• Proficiency in at least one of the following is preferred, but not required:
  • Machine learning
  • Neural networks
  • Unix / linux, git, bash / shell scripting

The candidate should be self-motivated, have a goal-oriented personality with good interpersonal skills and support team-work in an international, interdisciplinary environment.

The candidate must have a track record of publication in peer-reviewed journals or conference proceedings and be able to provide at least three letters of recommendation.

Job Application Contact: Trevor David Rhone
Job Application Email: [email protected]

 
A complete application includes:

• Curriculum Vitae or Resume
• Contact information for at least three references
  • References should be from persons familiar with your educational and professional qualifications (include your thesis or dissertation advisor, if applicable)
• Transcripts
  • Transcript verifying receipt of degree must be submitted with the application. Student/unofficial copy is acceptable

Questions about this opportunity? Please email to [email protected]