美國阿貢國家實驗室納米材料中心2023年招聘博士后職位
美國阿貢國家實驗室（Argonne National Laboratory，簡稱ANL）是美國政府最早建立的國家實驗室，也是美國最大的科學(xué)與工程研究實驗室之一——在美國中西部為最大。阿貢前身是芝加哥大學(xué)的冶金實驗室 (Metallurgical Lab)，現(xiàn)在隸屬于美國能源部和芝加哥大學(xué)。諾貝爾物理學(xué)獎得主費米于1942年在此領(lǐng)導(dǎo)小組建立了人類第一臺可控核反應(yīng)堆（芝加哥一號堆，Chicago Pile-1)，完成了曼哈頓計劃的重要一環(huán)，并且使人類從此邁入原子能時代。
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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