美国阿贡国家实验室博士后职位—非道路发动机燃烧建模

美国阿贡国家实验室博士后职位—非道路发动机燃烧建模

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。

Postdoctoral Appointee – Non-Road Engine Combustion Modeling

Argonne National Laboratory

Job Description

The Multi-Physics Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidate’s research will involve synergistic collaborations with a multidisciplinary team involving engine modelers, CFD and AI/ML experts, and computational scientists to enhance the predictive capability and scalability of multi-scale and multi-physics simulation codes.

The candidate will perform multi-physics and multi-scale computational fluid dynamics (CFD) simulations for novel internal combustion engines (ICEs) fueled with low/zero-carbon fuels and used in combined heat and power systems and chemical reforming systems by leveraging high-performance computing (HPC) resources.

·         Perform high-fidelity CFD simulations of ICEs’ in-cylinder processes involving gaseous fuel injection, turbulent jet ignition, turbulent combustion, pollutant formation, and heat transfer phenomena.

·         Perform optimization of combustion chamber geometry and operational parameters of ICEs to achieve higher efficiency, desired throughput, and lower emissions.

·         Improve and develop CFD submodels in commercial CFD codes such as CONVERGE to improve the predictive capability of simulation.

Position Requirements

·         Ph.D. in mechanical/aerospace engineering, chemical engineering, or a related discipline earned no more than three years ago is required.

·         Expertise in CFD modeling of turbulent reacting flows in advanced propulsion and energy conversion systems using CFD codes (e.g., CONVERGE, STAR-CD, OpenFOAM, etc.) is required.

·         Knowledge of ICEs’ combustion theory and modeling, extensive knowledge of advanced ignition and combustion concepts for ICEs, as well as good understanding of turbulence, chemical kinetics are required.

·         Experience in multi-dimensional code development (in Fortran/C/C++) and parallel scientific computing on large-scale HPC platforms is highly desirable.

·         Experience in carrying out research tasks with industry partners.

·         Ability to demonstrate strong written and oral communication skills.

·         Collaborative skills, including the ability to work well with other divisions, laboratories, and universities.

·         A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

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