美国阿贡国家实验室博士后职位：工程系统建模-仿真-分析

美国阿贡国家实验室纳米材料中心博士后职位

美国阿贡国家实验室（Argonne National Laboratory，简称ANL）是美国政府最早建立的国家实验室，也是美国最大的科学与工程研究实验室之一——在美国中西部为最大。阿贡前身是芝加哥大学的冶金实验室 (Metallurgical Lab)，现在隶属于美国能源部和芝加哥大学。诺贝尔物理学奖得主费米于1942年在此领导小组建立了人类第一台可控核反应堆（芝加哥一号堆，Chicago Pile-1)，完成了曼哈顿计划的重要一环，并且使人类从此迈入原子能时代。

Postdoctoral Appointee - NST -Center for Nanoscale Materials

Argonne National Laboratory

Job Description

The Center for Nanoscale Materials (https://www.anl.gov/cnm) at Argonne National Laboratory (Chicago, US) has an immediate opening for a Postdoctoral Appointee in the use of computational modeling and machine learning to interpret experimental x-ray, electron, and scanning probe characterization data, especially for energy materials. The postdoctoral researchers will work within the group of Dr Maria Chan (https://www.anl.gov/profile/maria-k-chan) on developing and applying algorithms and software for the use of first principles and atomistic modeling, together with machine learning, to accelerate the inversion of experimental characterization data, especially x-ray spectroscopies.

Position Requirements

·    Recently received or near completion of their Ph.D. in Nanoscience or related discipline within the last 3 years.

·    Density functional theory modeling of materials, e.g. high throughput calculations,  structure prediction, classical and ab initio MD simulations

·    Simulation of experimental characterization signals, e.g. x-ray spectroscopy, electron microscopy, scanning tunneling microscopy, and neutron scattering

·    Use of machine learning approaches

·    Development and implementation of algorithms and software for materials modeling

·    High-performance and parallel computing

·    Excellent communication and analytical skills

·    Ability to work independently and in an interdisciplinary collaborative environment, in close collaboration with experimentalists.

·    Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.

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