27 Mar 2024
Job Information
- Organisation/Company
Università degli Studi di Trieste- Department
HR - Academic Staff- Research Field
Physics » Other- Researcher Profile
First Stage Researcher (R1)
Recognised Researcher (R2)
Established Researcher (R3)- Country
Italy- Application Deadline
26 Apr 2024 - 23:59 (Europe/Rome)- Type of Contract
Other- Job Status
Not Applicable- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Reference Number
24ar376-1HPC- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
The researcher will study drag reduction in graphene with a combination of electronic structure methods and large-scale atomistic molecular dynamics (MD) powered by machine learning and high-performance computing (HPC). The first part of the project involves the development of neural-network interatomic potentials for graphene on metallic substrates under air gasses, including the training on density-functional theory (DFT) calculations. The second part involves large-scale MD simulations targeting the comprehensive understanding of the microscopic flow characteristics near graphene surfaces and the impact of surface microstructure on slip.
The position requires robust and documented expertise in the use of electronic-structure simulation software for DFT simulations (e.g. Quantum ESPRESSO) and/or MD (e.g. LAMMPS).
Requirements
- Research Field
- Physics » Other
- Education Level
- Master Degree or equivalent
Additional Information
- Website for additional job details
https://web.units.it/concorsi/ricerca/conc-51340
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- University of Trieste
- Country
- Italy
- City
- Trieste
- Geofield
Where to apply
- Website
https://pica.cineca.it/units
Contact
- City
Trieste- Website
https://www.units.it/ateneo/bandi- Street
Piazzale Europa 1- Postal Code
34127
STATUS: EXPIRED
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