Postdoctoral Appointee – Nuclear Materials Science Jobs

Design data management architectures for materials characterization data.

These benefits vary by job classification.

Develop new high-throughput and autonomous materials characterization capabilities.

Significant experience in the synthesis of nanoparticles and/or development of ‘self-driving’ laboratories

Demonstrated experience with Python and/or other scientific programming languages (MATLAB, R, etc.)

Experience with materials characterization techniques such as (UV/VIS, SEM, XRD, XRF, XPS, etc.)

Reviews manuscripts critically prior to submission as part of authorship requirements.

Clinical data handling experience preferred but not necessary.

Biomedical project experience preferred but not necessary.

Experience collaborating with other scientists (2 years).

Excellent communication skills for communicating research findings in reports, manuscripts, and presentations.

Develops AI algorithms for the classification of images and biomedical data.

Significant working knowledge of materials science principles, theories, and advanced characterization techniques is required.

Demonstrated skill in advanced coating techniques, such as physical vapor deposition, atomic layer deposition, or electrochemical deposition is a plus.

Demonstrated experience in transmission electron microscopy is required.

Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.