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CFD Jobs Database - Job Record #16683

Job Record #16683
TitleMultiphysics Modeling Postdoc in Idaho National Laboratory
CategoryPostDoc Position
EmployerIdaho National Laboratory
LocationUnited States, Idaho, Idaho Falls
InternationalYes, international applications are welcome
Closure DateSunday, November 01, 2020
Description:
Responsibilities

Idaho National Laboratory’s (INL) Energy and Environment Science & Technology 
(EES&T) Directorate is seeking a postdoctoral candidate to assist in the 
research & development and numerical implementation of multiphysics models with 
applications in biomass & bioenergy technology and potentially in geological 
subsurface engineering & science.

The ideal candidate is expected to demonstrate strong knowledge in the numerical 
solution of partial differential equations (PDEs), multi-species multiphase 
reactive thermal flow, coupled thermo-chemical-mechanical (TCM) and/or thermal-
hydraulic-mechanical-chemical (THMC) processes in porous materials, and their 
finite element method (FEM) code implementation and execution on U.S. Department 
of Energy’s (DOE) top-tier supercomputers. The candidate shall be capable of 
working in a diverse work environment and interfacing with the lower length-
scale (molecular- to micro-scale) computational groups, experimental groups, and 
researchers at other national laboratories and universities. The candidate will 
work on coupled TCM and/or THMC problems in porous materials across multiple 
length scales, demonstrating good judgment in finding efficient and practical 
solutions. The candidate is expected to analyze computational and experimental 
data together.

The candidate shall demonstrate knowledge of chemical & mechanical engineering 
and computational science and be a strong asset to our R&D group, and work 
effectively as an individual and as a member of a team. While working mostly 
independently, the candidate will accept input and coaching from mentors and 
also provide input in a constructive manner to others. The candidate shall 
maintain a positive and professional relationship with all, even while under 
pressure and tight deadlines. The candidate shall develop and demonstrate oral 
and written communication skills as extensive documentation of work is required; 
this typically entails authorship of technical reports and research manuscripts 
for refereed journals. The candidate is expected to contribute to the 
development of new computational capabilities within EES&T and seek new research 
opportunities.

Required qualifications

- US citizens or applicants with up to date visas and eligibility to work in the 
US.
- Demonstrated oral and written communication skills in English.
- Ph.D. in chemical/mechanical/civil engineering, material science, or a similar 
field with a strong training background in numerical modeling and distributed 
scientific computing must be completed by commencement of appointment and within 
the previous 3 years.
- Proficiency in C++ programming.
- Demonstrated ability to organize complex research activities and collaborate 
with others.

Desired qualifications

- Strong experience in object-oriented C++ software development.
- Proficiency with version control software (e.g. Git).
- Experience in software verification & validation (V&V) and scalability 
optimization on HPCs.
- Experience in scientific machine learning (ML) deployment and validation.
- Experience in MOOSE FEM (https://mooseframework.inl.gov/) framework based code 
development is a significant plus.
- Experience in CFD-DEM (computational fluid dynamics - discrete element 
methods) or other coupled mesh-particle method coding and modeling is a 
significant plus

The position is open until filled.  Interested individuals should submit a CV to 
Dr. Yidong Xia (yidong.xia@inl.gov)

Contact Information:
Please mention the CFD Jobs Database, record #16683 when responding to this ad.
NameYidong Xia
Emailyidong.xia@inl.gov
Email ApplicationYes
Record Data:
Last Modified17:18:49, Friday, July 31, 2020

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