Computational Materials Science Expert

Apply computational materials science and machine learning to research problems such as materials property prediction, materials discovery, and structure-property relationships. You will work with atomistic, electronic, and structural materials datasets and document your methods clearly so the work can be reproduced.

The work includes building, training, and evaluating models from simulation outputs, including density functional theory, molecular dynamics, and Monte Carlo data. You will also contribute to materials informatics workflows linked to high-throughput computational pipelines.

• Develop predictive models with supervised and unsupervised learning methods.
• Analyze materials datasets and model results for research applications.
• Document model assumptions, methods, and technical approaches in a clear, reproducible way.

What it pays and takes

This is a remote, asynchronous, project-based opportunity. Accepted projects are expected to run for 2 to 3 weeks, with an anticipated commitment of 10 to 20 hours per week.

• Pay: $175 per hour.
• Location: Remote, with eligibility limited to the countries listed for this role.
• Language: Professional fluency in English.
• Education: A master's or PhD in materials science, computational chemistry, physics, computer science, or a related quantitative field.
• Experience: Demonstrated expertise in both machine learning and computational materials science.
• Publication: At least one first-author publication in a peer-reviewed journal.
• Relevant background may include density functional theory, force field development, atomistic simulation, or materials informatics.
• You should be able to solve technical problems and work independently.
• Helpful experience includes teaching or assisting with computational physics, chemistry, or materials science courses.
• Helpful tools and frameworks include CGCNN, MatGL, M3GNet, ALIGNN, VASP, Quantum ESPRESSO, LAMMPS, and ASE.

How it works

Start your application on OpenTrain with your resume. You will then complete the application on the hiring site.

About AI training work

AI training is the human work behind many AI systems, including preparing data, reviewing model outputs, and evaluating technical responses. People with specialized expertise help produce accurate examples and judgments for complex subjects such as materials science.

OpenTrain helps people find AI training and data-labeling projects, build a profile, and apply in minutes. Creating an OpenTrain account is free.