Argonne National Laboratory
Just Landed
New Today
Postdoctoral Appointee in Autonomous SAXS Beamline, Materials Science and Chemistry Argonne National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time postdoctoral appointment at Argonne National Laboratory with an expected hiring range of $72,879.00-$121,465.00 and comprehensive benefits.
Deadline
Oct 25, 2026
Country
United States
University
Argonne National Laboratory

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Postdoctoral Appointee in Autonomous SAXS Beamline Research at Argonne National Laboratory
Argonne National Laboratory’s X-ray Science Division is recruiting a postdoctoral researcher to work on autonomous experimentation at a small-angle X-ray scattering (SAXS) beamline. The project focuses on developing workflows and instrumentation for closed-loop experimentation at the Advanced Photon Source (APS) SAXS beamline, with an emphasis on wet-solution processes.
Research interests highlighted in the posting include critical-materials extraction and lipid nanoparticle assembly. The successful candidate will collaborate with scientists and engineers at APS and across Argonne, contributing to beamline experimentation, data analysis, automation, and scientific publication.
Core activities include developing and maintaining autonomous beamline capabilities, operating SAXS/WAXS and X-ray fluorescence (XRF) measurements at the APS 12-ID beamline, designing in situ and operando experiments, preparing synchrotron beamtime experiments, and building Python-based data-analysis and closed-loop decision-making workflows.
Eligibility highlights: applicants must hold a Ph.D. in Materials Science, Chemistry, Chemical Engineering, or a closely related field completed within the past 0–5 years. The role also requires experience with solution-phase SAXS, strong experimental skills, laboratory troubleshooting ability, Python proficiency, and strong communication skills. Preferred backgrounds include synchrotron characterization, solution chemistry, soft-matter systems, lipid nanoparticles, self-assembly, colloids, robotic synthesis, active learning, and autonomous materials discovery.
Funding and terms: this is a full-time long-term fixed-term postdoctoral appointment with an expected salary range of $72,879.00–$121,465.00 plus comprehensive benefits.
Location and deadline: the position is based in Lemont, Illinois, USA, at Argonne National Laboratory. Applications are due by 2026-10-25.
How to apply: submit an application through the Argonne Careers Workday posting. Review the job description carefully and apply before the deadline. For application support, contact [email protected].
Funding details
Full-time postdoctoral appointment at Argonne National Laboratory with an expected hiring range of $72,879.00-$121,465.00 and comprehensive benefits.
What's required
A Ph.D. in Materials Science, Chemistry, Chemical Engineering, or a closely related field completed within the past 0–5 years is required. Applicants should have experience with solution-phase SAXS data collection and/or analysis, strong hands-on experimental laboratory skills, experience planning and troubleshooting complex experiments, proficiency in Python for instrument control/data analysis/automation, and strong written and verbal communication skills. Motivation for innovative basic and applied research and the ability to work independently and in multidisciplinary teams are expected. Preferred experience includes SAXS/WAXS, XRF, synchrotron methods, in situ or operando characterization, solution chemistry, ionic solutions, biochemistry, soft-matter systems, lipid nanoparticles, self-assembly, colloids, automated experiments, robotic synthesis, active learning, or closed-loop materials discovery.
How to apply
Apply through the Argonne Careers Workday posting. Review the job details and submit your application before the deadline. Contact [email protected] or 630-252-2336 for application support if needed.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.