SD-25163 RESEARCHER IN MACHINE-LEARNING POTENTIALS FOR NANOHARDNESS SIMULAT at Luxembourg Institute of Science and Technology LIST
Esch-sur-Alzette, , Luxembourg -
Full Time


Start Date

Immediate

Expiry Date

08 Nov, 25

Salary

0.0

Posted On

08 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Lammps, Vasp, Python, Materials Science, C, English, Publications, Density Functional Theory

Industry

Information Technology/IT

Description

EDUCATION

  • PhD in materials science or related discipline

EXPERIENCE AND SKILLS

  • Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories
  • Experience with large-scale MD simulations, ideally with LAMMPS, demonstrated via corresponding roles in publications
  • Experience with density functional theory (DFT) calculations, ideally with VASP, demonstrated via corresponding roles in publications
  • A solid, relevant, and impactful publication record
  • A friendly, motivated, positive, hands-on, initiative-taking, collaborative attitude and demeanour

LANGUAGE SKILLS

  • Good level both written and spoken English
Responsibilities

Please refer the Job description for details

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