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Computational Materials Scientist

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24-MAG

2 - 10 employees

🤝 B2B

đź’Ľ Consulting

B2B • Consulting

24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.

đź“‹ Description

• Apply first-principles and molecular simulation methods to complex materials-science problems • Develop technically accurate simulation setups and reference analyses • Evaluate assumptions, boundary conditions, convergence choices, and modelling methodology • Develop and evaluate models involving surfaces, interfaces, adsorption, and reaction phenomena • Analyse reaction pathways, transition states, and activation energetics • Design and solve expert-level problems in atomistic and surface modelling • Review AI-generated scientific reasoning for technical accuracy and completeness • Identify errors involving simulation methodology, energetics, structure, or physical interpretation • Rate and rank model outputs against defined scientific criteria • Provide concise written reasoning supporting evaluation decisions • Structure simulation methods, parameters, workflows, and results into organised model-ready data • Develop reference material for scientific training and evaluation • Translate specialised computational knowledge into clear written explanations • Deliver reliable work according to defined project timelines and quality standards

🎯 Requirements

• Experienced computational materials scientist with deep expertise in atomistic modelling, surface and interface science, first-principles simulation, and computational catalysis • Hands-on expertise in atomistic modelling using first-principles or molecular simulation methods • Experience with DFT, ab initio molecular dynamics, classical molecular dynamics, Monte Carlo, or related techniques • Substantial experience modelling surfaces, interfaces, adsorption, or chemical reactions • Familiarity with slab models, surface reconstructions, transition-state analysis, NEB, or microkinetics • Experience with semiconductor-relevant materials or computational heterogeneous catalysis • Strong scientific reasoning and quantitative problem-solving skills • Ability to explain complex computational methodology clearly and concisely • Availability for at least 10 hours per week • Current residence in the United States • A PhD in materials science, chemistry, physics, chemical engineering, or a closely related field is expected • Strong research experience in computational materials science, surface science, or catalysis • Experience with VASP • Familiarity with Quantum ESPRESSO, CP2K, or GPAW • Experience with LAMMPS • Proficiency with ASE, pymatgen, or related computational materials tools • Background in semiconductor materials modelling • Experience in computational heterogeneous catalysis • Expertise in reaction-energy calculations and transition-state modelling • Experience connecting atomistic simulations with experimental or materials-characterisation results • Prior experience with scientific AI evaluation, annotation, or structured technical review

🏖️ Benefits

• Flexible weekly hours • Long-term, ongoing engagement • Weekly payments via Stripe or Wise • Remote consulting opportunity • Potential workload of up to approximately 40 hours per week depending on availability and project needs

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