About the Role

Our client is seeking a highly skilled and motivated Investigador en Ciencia de Materiales Computacional to join their advanced research and development team in Querétaro City, Querétaro . This role is dedicated to leveraging computational methods, including molecular dynamics simulations, density functional theory (DFT), and machine learning, to design and discover novel materials with tailored properties. You will play a crucial role in accelerating the materials discovery process, bridging the gap between theoretical predictions and experimental validation. The idóneo candidate possesses a strong background in condensed matter physics, materials science, or chemistry, combined with significant expertise in computational modeling and simulation techniques. We are looking for an individual with a passion for innovation, excellent analytical skills, and the ability to collaborate effectively within a multidisciplinary research environment. This is an exceptional opportunity to contribute to impactful research in a leading industrial company.

Key Responsibilities

- Perform first-principles calculations (DFT) and molecular dynamics (MD) simulations to study material properties and behavior.
- Develop and apply machine learning models for materials design and property prediction.
- Analyze large datasets generated from simulations and experiments.
- Collaborate with experimental materials scientists to guide synthesis and characterization efforts.
- Interpret simulation results and translate them into actionable insights for material development.




- Develop new computational methodologies and workflows to enhance research efficiency.
- Stay current with the latest advancements in computational materials science and related fields.
- Document research findings, prepare technical reports, and present results at conferences.
- Contribute to publications in peer-reviewed journals.

Requirements

- Ph.D. in Materials Science, Physics, Chemistry, or a related field with a strong focus on computational methods.
- Minimum of 3 years of postdoctoral or industrial research experience in computational materials science.
- Extensive experience with DFT codes (e.g., VASP, Quantum ESPRESSO) and MD simulation packages (e.g., LAMMPS).
- Proficiency in programming languages such as Python, Fortran, or C++.
- Experience with machine learning techniques and libraries for scientific applications.
- Strong understanding of solid-state physics and chemistry principles.
- Excellent analytical and problem-solving skills.
- Ability to work effectively in a collaborative research environment.
- Strong written and verbal communication skills in Spanish.
- Familiarity with high-performance computing (HPC) environments is desirable.

Benefits

This role is based in our state-of-the-art research facility in Querétaro City, Querétaro. We provide a dynamic and stimulating work environment where innovation is encouraged.

- Our client offers a competitive salary, a comprehensive benefits package including health, dental, and vision insurance, and opportunities for professional growth through training and conference attendance.
- Additional benefits include paid time off, retirement savings plans, and wellness programs.

📌 Investigador en Ciencia de Materiales Computacional (Santiago de Querétaro)
🏢 Placements24
📍 Santiago de Querétaro