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agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
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Strong background in scanning/transmission electron microscopy (S/TEM), particularly atomic-resolution imaging and spectroscopy techniques (EELS/EDS) Proficiency in programming languages such as Python, C
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modeling is critical Considerable computational expertise in using quantum mechanical methods to calculate reaction mechanisms and kinetics in heterogeneous systems is essential Ability to program in C++ and
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algorithms with mainstream programming languages such as Julia, Python, Java, C/C++, etc. Proficiency in writing scientific research articles and presenting results at academic conferences. Experience with
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preferred. Strong data analysis skills and ability in programming languages, such as Python, for performing experiments and analyzing data. Knowledge of innovative phase retrieval algorithms is desirable
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Strong written and oral communication skills Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Experience with block copolymer patterning
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written and oral communication across all levels of the organization Ability to present research at technical meetings and publish results in peer reviewed journal articles. Ability to model Argonne’s core
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strong track record in problem solving and scientific publications. The candidate will be expected to conceive of, plan, and implement the scientific research, and to report relevant results in
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may include work at Jefferson Lab, the Electron-Ion Collider (EIC) program, detector research and development, and applications of AI in nuclear physics. Applications received by Tuesday, November 4
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analyze and interpret experimental data is required. Strong interpersonal, written, and oral communication skills. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork