Join Our Team: Postdoctoral Appointee in NST Computer Vision for Materials Imaging at Argonne National Laboratory

Location: Argonne National Laboratory, near Chicago, USA

Overview: The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks a highly-motivated Postdoctoral Appointee specializing in Computer Vision for Materials Imaging. This immediate opening offers an exciting opportunity to propel your career in a vibrant research environment.

Position Description

The selected candidate will develop and apply advanced computer vision algorithms and software integrated with atomistic simulations to enhance analyses of cutting-edge microscopy images. These images include techniques such as electron microscopy, scanning tunneling microscopy, and ultrafast electron microscopy. The role involves substantial collaboration with a diverse team of microscopists, theorists, and computer scientists both at Argonne and external institutions.

Key Responsibilities:

• Develop machine learning and computer vision algorithms.
• Collaborate with interdisciplinary teams to analyze microscopy data.
• Contribute to the development of high-performance computing solutions.

Application Requirements:

To apply, please submit the following:

• A detailed curriculum vitae with a list of publications.
• Contact information for three professional references.
• A cover letter that discusses:
  • Your experience with materials microscopy simulation/analysis.
  • Your background in machine learning and computer vision.
  • Details of your software development expertise.
  • Your availability for the expected start date and US work eligibility status.
• Optional: A representative publication showcasing your work.

Position Requirements:

• PhD in Computational Physics, Chemistry, Materials Science, Chemical Engineering, or related field, earned in the last three years or forthcoming.
• Proven software programming skills.
• Excellent communication and analytical abilities.
• Demonstrable ability to work independently and in teamwork settings.
• Experience in modeling and analysis of materials microscopy data, high-performance and parallel computing.

Commitment to Diversity: Argonne National Laboratory is a committed equal employment opportunity employer and values an inclusive and diverse work environment. We strongly encourage applications from minorities, women, veterans, and individuals with disabilities.

Contact Information:

For additional inquiries regarding this position, please contact Dr. Maria Chan at .

Application Deadline: Applications will be reviewed on a rolling basis until the position is filled. Start your journey with us today and contribute to groundbreaking research with global impact!

Discover more about CNM at Argonne National Laboratory by visiting .