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

Start Date

Immediate

Expiry Date

09 Nov, 25

Salary

0.0

Posted On

10 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

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

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