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1–2 jobs· newest first

Research Associate 3
Louisiana State University · US
Full-time · Associate
Tenure Track Researcher in First Principles Theory of Quantum Transport in Heterostructures of 2D Materials and Oxides - DTU Physics
DTU Career Site V2 · Kgs. Lyngby, Denmark
Full-time

+10K new in the last hour

Research Associate 3

Louisiana State University · Posted Nov 5, 2026

Louisiana, United States
Full-time · Associate
2+ years

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Supports computational research in electrochemical systems and energy‑storage devices.

Responsibilities

Assist with developing, executing, and evaluating computational models of electrochemical and energy‑storage systems, including CFD, FEM, DFT, and molecular‑scale approaches
Conduct analyses and contribute to understanding relationships among electronic structure, material properties, ion transport, and device‑level performance
Assist with computer‑based analyses of research data and the development, adaptation, and validation of scientific code and simulation workflows
Help troubleshoot numerical and computational problems, evaluate model accuracy, and identify appropriate methods and refinements
Assist with coordinating assigned computational research activities, maintaining organized simulation inputs, datasets, and documentation, and tracking progress toward project objectives, timelines, and deliverables

Requirements

Master's degree in Chemical Engineering, Chemistry, Physics, Materials Science, Computational Science, or a closely related field
Bachelor's degree and 2 years of experience

Skills

computational models CFD FEM DFT molecular‑scale simulations computational fluid dynamics finite element methods density functional theory simulation workflows

Benefits

health, life, dental, and vision insurance
flexible spending accounts
retirement options
various leave options
paid holidays

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Tenure Track Researcher in First Principles Theory of Quantum Transport in Heterostructures of 2D Materials and Oxides - DTU Physics

DTU Career Site V2 · Posted Nov 4, 2026

Kgs. Lyngby, Denmark
Full-time

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Lead research on first‑principles quantum transport, machine learning workflows, and interdisciplinary collaboration within the ERC Synergy project METRIQS.

Responsibilities

Predict interface atomic and electronic structure based on DFT
Perform electron transport calculations using DFT combined with NEGF
Use ML techniques to extend DFT domain to experimentally relevant system sizes
Develop multi‑scale, first‑principles‑based computational workflows
Collaborate with project partners on hybrid heterostructure quantum devices

Requirements

PhD degree (or equivalent)

Skills

Density Functional Theory Non‑equilibrium Green's Function Machine Learning force‑fields Molecular dynamics simulation High‑performance computing Student supervision DFT

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