The Center for Nanoscale Materials (CNM) (https://www.anl.gov/cnm) at Argonne National Laboratory (near Chicago, USA) has an immediate postdoctoral opening on computer vision for materials imaging. The postdoctoral researchers will work on developing and applying computer vision algorithms and software, used in conjunction with atomistic simulations, to accelerate the analysis of state-of-the-art microscopy images (including electron microscopy, scanning tunneling microscopy, and ultrafast electron microscopy). The postdoctoral researchers will be collaborating extensively with microscopists, theorists, and computer scientists at Argonne and elsewhere.

Please include a detailed curriculum vitae including a list of publications and the names and email addresses of three professional references with your Workday application.

In your cover letter, please

• describe your previous experience with materials microscopy simulation/analysis;

• describe your experience with machine learning/computer vision;

• describe your software development experience; and

• indicate your expected start date and US work eligibility status (if known).

Optional: If desired, please attach one representative publication that best showcases your work.

Postdoctoral appointments are on a one-year basis, with a maximum term of three years, subject to performance evaluation. Reviews of applications will begin immediately until the position is filled. For additional questions, please contact Dr. Maria Chan (mchan@anl.gov).

Position Requirements

• A PhD in Computational Physics, Chemistry, Materials Science, Chemical Engineering or a related field. Degree must have been received within the last 3 years or upcoming year.
• Solid communication and analytical skills.
• Ability to work independently and in an interdisciplinary collaborative environment is expected.
• Software programming experience is required.
• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.

Applicants should have expertise in some of the following:

• Simulation and/or analysis of materials microscopy data, e.g. electron microscopy, scanning tunneling microscopy.

• Use of machine learning and/or computer vision approaches

• Development and implementation of algorithms and software

• High-performance and parallel computing

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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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