美国桑迪亚国家实验室计算材料和数据科学系博士后职位

Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation with major facilities in Albuquerque, New Mexico and Livermore, California. We are a world-class team of scientists, engineers, technologists, post docs, and visiting researchers all focused on cutting-edge technology, ranging from homeland defense, global security, biotechnology, and environmental preservation to energy and combustion research, computer security, and nuclear defense. To learn more, please visit our website at www.sandia.gov.

Sandia National Laboratories is searching for a Postdoctoral Appointee of Multivariate Data Analysis, Algorithm Development for the Computational Materials and Data Science Department located in Albuquerque, NM. The candidate selected for this position will be required to obtain and maintain a DOE-granted “Q-level” security clearance. Security clearance not required to start.

Department Description
Computational Materials and Data Science Department provides advanced computational analysis that enables materials-based insight and solutions. Capabilities include model development of nanoscalar and mesoscalar materials evolution, multivariate analysis to deduct microstructural information, micromechanics, and 3D serial sectioning. Our diverse computational background and materials science expertise enable mechanistic and physical understanding related to aging and wear of materials such as metals, semiconductors, biomaterials, and polymers in support of DOE nuclear and non-nuclear missions.

Job Summary
The Computational Materials and Data Science Department has an immediate opening for a new post-doctoral researcher in the area of multivariate data analysis and algorithm development. The candidate will be involved in analyzing and interpreting data derived from a variety of scientific instruments used in materials analysis. In addition, the position involves improving existing algorithm and developing novel algorithms for analyzing multivariate data.

The successful applicant will be expected to conduct world-class research resulting in peer-reviewed publications and to collaborate with others to advance Sandia missions. This includes developing methods to analyzing disparate types of data; and interacting with other researchers, technicians, and department customers.

Required
• A Ph.D. in Chemistry, Material Science, Engineering, Physics, Statistics, Mathematics or related field
• Chemometrics and/or multivariate statistical analysis techniques
• Proficiency in multivariate analysis methods and matrix algebra
• Fluency in MATLAB operations and programming
• Strong record of academic performance

Desired
• Expertise with other programming languages such as C, C++, or Java
• Experience with physical chemical data, such as spectroscopic image analysis of materials or materials characterization
• Willingness to work in a team environment

Security Clearance
Position requires a Department of Energy (DOE)-granted Q-level security clearance.

Sandia is required by DOE directive to conduct a pre-employment background review that includes personal reference checks, law enforcement record and credit checks, and employment and education verifications. Applicants for employment must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by the DOE, rendering the inability to perform the duties assigned and resulting in termination of employment.