We invite you to apply for an exciting Postdoctoral Appointee opportunity to contribute to a multi-disciplinary team in a cutting-edge project for material discovery and design applying data analytics, machine learning, and high-performance computing. You will work at the Argonne Leadership Computing Facility developing multi-scale methodologies and designing protocols for massive simulations of defective (non-stoichiometric or doped) materials. The study will help understand and control point defects in materials, and will help explain and predict ongoing experiments at the laboratory’s Advanced Photon Source facility. You will learn and exploit some of the world’s largest supercomputers and use state-of-the-art techniques in the latest computing architectures for data analytics and machine learning to solve one of the most complex and pressing problems in materials science.

Position Requirements

We expect you to have:

• A recent PhD, preferably in materials science, physics, or chemistry.

• Knowledge in applying machine learning to one or more of the fields: Chemistry; physics; materials science; mathematics; computer science; engineering; or a cognate area.

• Demonstrable experience in applying machine learning to solve a significant research problem.

• Good experience in parallel computing and least one scripting-based and high-level programming language.

• Effective oral and written communication skills.

Desired Experience & Skills:

• Working in an interdisciplinary field of research.

• Working with large sets of data and data mining.

• Molecular dynamics and Monte Carlo sampling.

• Effective analytical and problem-solving skills to contribute to creative solutions to complex problems.

• Good publication record, preferably including a first-author publication.

• Good collaborative skills, including the ability to work well with other labs, universities, computing centers, and industry.

Interested applicants should apply here: https://careers.peopleclick.com/careerscp/client_argonnelab/post_doc/jobDetails.do?functionName=getJobDetail&jobPostId=4838&localeCode=en-us

As an equal employment opportunity and affirmative action employer, 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, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.