美國(guó)阿貢國(guó)家實(shí)驗(yàn)室2023年招聘博士后職位（非道路發(fā)動(dòng)機(jī)燃燒建模）

美國(guó)阿貢國(guó)家實(shí)驗(yàn)室（Argonne National Laboratory，簡(jiǎn)稱ANL）是美國(guó)政府最早建立的國(guó)家實(shí)驗(yàn)室，也是美國(guó)最大的科學(xué)與工程研究實(shí)驗(yàn)室之一——在美國(guó)中西部為最大。阿貢前身是芝加哥大學(xué)的冶金實(shí)驗(yàn)室 (Metallurgical Lab)，現(xiàn)在隸屬于美國(guó)能源部和芝加哥大學(xué)。諾貝爾物理學(xué)獎(jiǎng)得主費(fèi)米于1942年在此領(lǐng)導(dǎo)小組建立了人類第一臺(tái)可控核反應(yīng)堆（芝加哥一號(hào)堆，Chicago Pile-1)，完成了曼哈頓計(jì)劃的重要一環(huán)，并且使人類從此邁入原子能時(shí)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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