美国阿贡国家实验室博士后职位—数据建模

美国阿贡国家实验室博士后职位—数据建模

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。

Engineering Research Associate

Argonne National Laboratory

Job Description

Argonne’s Vehicle and Mobility Systems department (VMS, vms.taps.anl.gov) is looking for an engineering research associate with data modeling experience to participate in the development of a software framework for the evaluation of large-scale data modeling and analytics.

Argonne’s Vehicle and Mobility Systems department (VMS, vms.taps.anl.gov) is looking for an engineering research associate with data modeling experience to participate in the development of a software framework for the evaluation of large-scale data modeling and analytics. The position requires familiarity with data engineering, processing, and analysis tools to build efficient data workflows. It is preferred if the candidate has familiarity with supervised and unsupervised machine learning techniques for data mining, analysis, outlier detection, and imputation.

The candidate will work on:

·     Development of different analytical models and methods to streamline data from various data sources, clean, process, store and query large-scale datasets.

·     Development of an integrated program based in Python to evaluate different analytical case scenarios based off large scale vehicle simulations.

·     Integration of simulation tools into the framework.

·     Formalization and automation of workflows for the setup of experiments, test execution, monitoring, data collection, data processing, analysis, quality check.

·     Integration of visualization components for large-scale data.

·     The candidate will work with researchers that develop new data across different large-scale studies to demonstrate them, actively participating in their deployment from pure simulation to detailed visualization. The engineer will also demonstrate skills of supervised and unsupervised machine learning techniques for data mining, analysis, outlier detection, and imputation.

Position Requirements

·     Bachelor’s and 5+ years; Master’s and 3+ years; Doctorate and 2-4 years, or equivalent.

·     Experience in systems engineering in automotive, aerospace, robotics or related applications.

·     Experience with software development for embedded systems, robotic systems or ECUs, including real-time software.

·     Experience with different data modeling, pipelining, and cleaning methods.

·     Experience with different data visualization methods.

·     Programming in C/C++, Python or related.

·     Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Preferred Qualifications:

·     Experience as an engineering research associate.

·     Experience with data visualization, database management, big data analytics, machine learning, exploratory analysis, etc.

·     Experience with Software life cycle (source control, documentation, deployment).

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