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Computational Research Scientist
2 months ago
The Center for Nanoscale Materials at Argonne National Laboratory is seeking a highly motivated individual for a postdoctoral position focused on the integration of computational modeling and machine learning techniques to analyze experimental x-ray and electron characterization data. The successful candidate will collaborate closely with Dr. Maria Chan's team to develop and implement innovative algorithms and software that leverage first principles and atomistic modeling to enhance the interpretation of experimental data. This role involves extensive collaboration with researchers from Argonne, other national laboratories, and academic institutions.
Key Responsibilities
- Conduct research in computational physics, chemistry, materials science, or chemical engineering.
- Utilize excellent communication and analytical skills to present findings effectively.
- Engage in software programming to support research objectives.
- Work independently while fostering a collaborative environment with experimental scientists.
- Embody Argonne's core values of impact, safety, respect, integrity, and teamwork.
Preferred Expertise
- Experience with density functional theory and molecular dynamics modeling of materials, including high-throughput calculations and structure prediction.
- Ability to simulate experimental characterization signals, particularly core-level spectroscopy.
- Proficiency in applying machine learning techniques to analyze spectroscopy data.
- Development and implementation of algorithms and software for advanced materials modeling.
- Experience with high-performance and parallel computing environments.
Job Family
Postdoctoral Family
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is dedicated to fostering a diverse and inclusive workplace that promotes collaborative scientific discovery and innovation. We encourage individuals from various backgrounds to consider joining our team.
All employment offers are contingent upon a background check, which includes an assessment of criminal conviction history. Candidates may be required to obtain government access authorization, which involves additional background check requirements. Failure to secure or maintain such authorization may affect employment status.
