Material Science Assistant Professor

About the role

We are seeking a highly qualified specialist to design and validate research‑grade material science problems. This short‑term, remote contract focuses on semiconductor materials and molecular modeling, supporting AI evaluation datasets and advanced reasoning systems.

Key responsibilities

• Design research‑grade material science problems involving semiconductor materials and molecular modeling.
• Develop computational solutions and scientific coding workflows using Python.
• Create structured problem categories, tags, and difficulty classifications.
• Solve advanced quantitative problems with rigorous scientific accuracy.
• Participate in detailed quality reviews of problems and solutions.
• Collaborate with reviewers and project teams to improve content quality and consistency.
• Contribute to AI evaluation datasets for advanced reasoning systems.

Required profile

• PhD or PhD candidate in Computational Material Science or a related domain.
• Strong expertise in semiconductor materials and molecular modeling.
• Published peer‑reviewed research work.
• Excellent analytical reasoning and quantitative problem‑solving abilities.
• Strong written communication and documentation skills.
• LinkedIn profile required.

Required skills

• Python programming for scientific computing.
• Scientific computing tools and libraries.
• Knowledge of semiconductor materials.
• Experience with molecular modeling.

What we offer

• Short‑term contract (4 weeks) with $80 per approved task.
• Remote work with 20‑40 hours/week and a 4‑hour overlap with PST.
• Immediate start and flexible schedule.