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Senior Computational Scientist – Materials Science

Abu Dhabi Investment Authority · Abu Dhabi

جديد
Senior 🇬🇧 English
Python C/C++ Fortran Git Linux LaTeX DFT molecular dynamics high-performance computing parallel programming workflow automation machine learning materials informatics platforms

وصف الوظيفة

About the role

ADIA Lab, the research arm of the Abu Dhabi Investment Authority, is establishing a new Materials Sciences research group. The Senior Computational Scientist will lead this effort, shaping a world‑class program that uses computational modelling and data‑driven discovery to accelerate breakthroughs in energy, sustainability and advanced technologies.

Key responsibilities

  • Establish and lead a new Materials Sciences research group focused on multiscale modelling, quantum‑to‑continuum simulations and AI‑assisted materials design.
  • Drive cross‑disciplinary projects that combine physics‑based modelling, data science and high‑performance computing to address grand challenges in energy, climate and technology.
  • Build and coordinate a collaborative international research network, fostering partnerships with universities, laboratories and industry.
  • Publish high‑impact research, contribute to white papers and represent ADIA Lab at leading conferences.
  • Mentor junior scientists, post‑doctoral fellows and students, nurturing the next generation of computational materials leaders.

Required profile

  • PhD in materials science, physics, chemistry, computational science, applied mathematics or a related field.
  • Minimum 6 years post‑PhD experience in computational materials research or data‑driven materials design.
  • Proven record of leading a research group or major project in computational or data‑driven materials science.
  • Strong publication record and recognized contributions to the international materials science community.

Required skills

  • Python, C/C++, Fortran programming.
  • Git, Linux, LaTeX.
  • Density Functional Theory (DFT) and molecular dynamics simulations.
  • High‑performance computing, parallel programming and workflow automation.
  • Machine learning for materials discovery and familiarity with materials informatics platforms such as Materials Project, NOMAD or AiiDA.

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Source : ats:workable

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Abu Dhabi Investment Authority

Abu Dhabi