[Hiring] Research Scientist - Computational Materials @Gramian Consulting Group

Role Description

We are looking for a highly analytical and research-driven individual with a strong background in Computational Materials to contribute to advanced AI evaluation initiatives. In this role, you will design and solve research-grade quantitative problems, supporting the development and evaluation of next-generation AI systems. You’ll work at the intersection of scientific computing, mathematical modeling, and AI reasoning, contributing to high-impact projects with leading AI organizations.

Responsibilities

• Quantitative Problem Design and Solutioning:
  • Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/programming, using Python.
  • Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels.
  • Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path.
• Quality Assurance & Collaboration:
  • Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions.
  • Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly.

Commitments Required

• 8 hours per day with an overlap of 4 hours with PST.

Employment Type

• Contractor assignment (no medical/paid leave).

Duration of Contract

• 4 weeks.

Location

• Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria, Turkey, Vietnam.

Selection Process

• Home Assignment.

Qualifications

• PhD or PhD Candidate in Computational Materials, Semiconductor materials, Molecular modeling, or similar.
• At least one peer-reviewed publication in a relevant domain.
• Proficiency in Python for scientific computing (e.g., NumPy, SciPy, or similar).
• Strong analytical thinking and problem-solving skills.
• Ability to clearly document complex mathematical reasoning and solutions.