【简介】博士后招聘网整理分享“美国密歇根大学2020年博士后招聘（风力发电机设计优化）”，浏览查询更多博士后招聘计划请访问博士后招聘网。

美国密歇根大学2020年博士后招聘（风力发电机设计优化）

Postdoc in Wind Turbine Design Optimization

· University of Michigan

· Location: Ann Arbor, MI

· Job Number: 7066786

· Posting Date: Jun 9, 2020

· Application Deadline: Open Until Filled

Job Description

This postdoc position is immediately available in the Multidisciplinary Design Optimization Laboratory at the University of Michigan. Women, minorities, individuals with disabilities, and veterans are encouraged to apply. For more information about our lab, please visit: http://mdolab.engin.umich.edu

Subject areas: Multidisciplinary design optimization, computational fluid dynamics, reduced-order modeling, computational aeroelasticity

*Application*: floating offshore wind turbine design

Minimum requirements:

+ Highly motivated candidates with a Ph.D. degree in mechanical, aerospace, or in a similar engineering field with a focus on ore more of the subject areas listed above.

+ Published or accepted journal papers.

+ Excellent programming skills, including a compiled language.

+ Knowledge in Linux operating system, git, and parallel computing.

+ Excellent written and oral communication skills.

Project description: A multidisciplinary team of three primary universities (Rutgers University, University of Michigan, and Brigham Young University), experts from the National Renewable Energy Laboratory (NREL), and two international collaborators (Norwegian University of Science and Technology, NTNU, and Technical University of Denmark, TUD) recently won an award from the U.S. Department of Energy’s (DOE’s) Advanced Research Projects Agency-Energy (ARPAE) Aerodynamic Turbines Lighter and Afloat with Nautical Technologies and Integrated Servocontrol (ATLANTIS) Program. Our project is one of 13 new projects to develop new technologies for floating offshore wind turbines, or wind farms, using the discipline of control co-design. The program description can be seen here: https://arpa-e.energy.gov/?q=arpa-eprograms/atlantis . The goal of our team is to develop a computationally efficient mixed-fidelity control co-design optimization framework for floating offshore wind turbine design. Our project will yield a modular framework to support the broad mission of the DOE ARPA-E ATLANTIS Program.

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