Computational Scientist (Term)
Argonne National Laboratory
Lemont, IL
Job posting number: #7112375 (Ref:414174)
Posted: September 28, 2022
Application Deadline: Open Until Filled
Job Description
The Theory and Modeling group at the Center for Nanoscale Materials, Argonne National Laboratory, has immediate RD1 temp staff opening in the area of computational materials modeling, AI/machine learning and data analysis of complex fluids. Specifically, the research involves development of AI and machine learning workflows and tools to understand critical phenomena in complex fluids. The researcher will have the opportunity for extensive collaborations with industrial collaborators as well as various experimental (NST, CSE and APS) and computational groups at NST and MCS divisions at Argonne.
The applicants should have strong programming skills and expertise in at least two or more of the following fields:
- Statistical Mechanics, Thermodynamics (Free energy calculations)
- Numerical methods and optimization (e.g. machine learning including deep neural networks, reinforcement learning, data mining, genetic algorithms, clustering techniques etc.)
- Data analysis and/or scientific visualization (e.g. feature detection and tracking of high-level structures, classification, statistical summaries, comparisons between models and experiments)
- Experience in software development and workflows is highly desirable
- Experience with atomistic or first principles simulation (DFT and ab-initio molecular dynamics simulations) of a wide variety of materials systems,
- Experience in developing empirical force fields for classical molecular dynamics of clusters, surfaces and interfaces will be considered an advantage.
The position will work in a dynamic team of staff scientists at Argonne National Laboratory. Within the team we have extensive experience with molecular dynamics simulations, first principles calculations, reactive empirical force fields, chemical dynamics, deep learning and numerical algorithms, data analysis, experimental characterization and imaging. Our research has involved methodology and algorithm development in conjunction with extensive applications in the fields of nanoscience and energy-related materials. The project will also involve significant interactions with industry and is cross-divisional collaboration between the NST, CSE, and MCS divisions at Argonne.
Position Requirements
The successful candidate will be offered a competitive package, commensurate with qualifications and experience
Initial appointment will be for a period of one year and will be renewable for two additional years
A PhD in theoretical physics/ chemistry, computational materials science, chemical engineering, applied mathematics or a related field is required. Applicants must have received their PhD within the last 5 years
Review of applications will begin immediately and continue until the position is filled. Interested candidates should send their CV and names of references to Dr. Subramanian Sankaranarayanan (skrssank@anl.gov)
RD1: Bachelor’s and 0 years or Master’s and 0 years
Job Family
Research Development (RD)Job Profile
Computational Science 1Worker Type
Long-Term (Fixed Term)Time Type
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