The Chemical and Materials Science group in the X-ray Science Division is seeking a highly motivated Postdoctoral Appointee. X-ray scattering is a key technique at the Advanced Photon Source (APS), widely utilized for characterizing biomacromolecules, polymers and other nano-scale structures.

The successful candidate will join an interdisciplinary team and leverage machine learning or artificial intelligence (ML/AL) algorithms and other computational methods to enhance the structural resolution of current X-ray scattering techniques. This position offers the opportunity to work at state-of-the-art X-ray scattering beamlines at APS and apply the developed methods for detailed structural characterization.    

Position Requirements

• This level of knowledge is typically achieved through a formal education in Physics, Biophysics, Physical Chemistry, or a related field at the PhD level with zero to five years of employment experience.

• Experience with scientific programing. 

• Excellent oral and written communication skills.

• Ability to collaborate effectively in an interdisciplinary research team setting.

• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.

• Ability to understand, value, and promote diversity, equity, inclusion, and accessibility.

Preferred Knowledge, Skills and Experience

• Experience with biomolecular Molecular Dynamics Simulations.

• Familiarity with Machine Learning / Artificial Intelligence.

• Familiarity with standard data science and machine learning python libraries.

• Hands-on experience with X-ray scattering techniques.

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As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

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