Materials Science Project Lead | $28/hr Remote

Crossing Hurdles; Indonesia; On-site; IDR 300,000,000 - 600,000,000; Full time

Job summary

Crossing Hurdles in Indonesia seeks a PhD-level scientist to lead a team of technical trainers for AI training tasks in materials science. You will develop and review scientific tasks, ensure reproducibility of code, mentor staff, and collaborate with stakeholders to refine training materials.

This role emphasizes scientific integrity, advanced programming, and effective communication in a research-driven environment. Strong leadership and analytical skills are essential.

Qualifications

• Ph.D. or equivalent advanced expertise in Materials Science.
• Strong programming skills in Python, C/C++, Fortran, or Julia.
• Expertise in atomistic simulation or computational thermodynamics.
• Experience in reviewing scientific code and simulations.
• Previous leadership or mentoring experience in technical teams.
• Strong analytical and written communication skills.
• Proficient in Linux/terminal interface for development tasks.

Responsibilities

• Lead a team of 5-10 technical trainers for AI training tasks.
• Develop and review scientific tasks ensuring technical accuracy.
• Ensure reproducibility and quality of scientific code and research outputs.
• Mentor team members and provide technical guidance.
• Analyze simulations and evaluate results for scientific integrity.
• Collaborate with stakeholders to refine training materials.
• Document processes and findings for future reference.

Skills

Atomistic simulation

Computational thermodynamics

Leadership experience

Analytical skills

Written communication

Mentoring

Linux/Terminal

Education

Ph.D. in Materials Science

Tools

Python

C/C++

Fortran

Julia

Job description

• Lead a team of 5 10 technical trainers for AI training tasks
• Develop and review scientific tasks ensuring technical accuracy
• Ensure reproducibility and quality of scientific code and research outputs
• Mentor team members and provide technical guidance
• Analyze simulations and evaluate results for scientific integrity
• Collaborate with stakeholders to refine training materials
• Document processes and findings for future reference

Requirements

• Ph.D. or equivalent advanced expertise in Materials Science
• Strong programming skills in Python, C/C++, Fortran, or Julia
• Expertise in atomistic simulation or computational thermodynamics
• Experience in reviewing scientific code and simulations
• Previous leadership or mentoring experience in technical teams
• Strong analytical and written communication skills
• Proficient in Linux/terminal interface for development tasks