Publisher
source

Argonne National Laboratory

Just Landed

Postdoctoral Appointee in Materials Informatics and Autonomous Synthesis Argonne National Laboratory in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral full-time, long-term fixed-term position with an expected hiring range of USD 72,879.00-$121,465.00 plus comprehensive benefits.

Country flag

Country

United States

University

Argonne National Laboratory

Apply for this position

You'll sign in first, then continue in your ApplyKite dashboard.

Keywords

Computer Science
Data Science
Chemistry
Chemical Engineering
Materials Science
Polymer Chemistry
Active Learning
Physics
ML

Suggested positions

Publisher
source

Oak Ridge National Laboratory

Country flag

United States

Oak Ridge National Laboratory (ORNL) is hiring a Postdoctoral Research Associate in optical spectroscopy within the Isotope Applications Research (IAR) group . The role sits in a multidisciplinary environment focused on radioisotope production and application, with work spanning laser-induced breakdown spectroscopy , optical emission spectroscopy , plasma diagnostics , data science, process analytical technology, and chemical processing. The successful candidate will develop and operate advanced...

Computer Science
Data Science
Chemistry
+8 more

3 weeks ago

Publisher
source

Northeastern University

Country flag

United States

Postdoctoral Research Associate at Northeastern University in Boston, Massachusetts, United States. The Lopez Group is seeking a postdoctoral researcher to work on a collaborative project focused on sustainable polymer synthesis from CO₂ . The role combines machine learning , organic chemistry , computational chemistry , and high-throughput quantum chemistry to help design metal-free cyclopropenimine catalysts, substrates, and reaction conditions for making polyurethanes and polycarbonates . Res...

Computer Science
Chemistry
Chemical Engineering
+6 more

3 weeks ago

Publisher
source

University of Delaware

Country flag

United States

Postdoctoral Researcher opportunity at the University of Delaware in the Center for Clean Hydrogen , focused on AI/ML , laboratory automation , robotics , polymer chemistry , and materials science . The project is part of the Center’s AEM Moonshot effort to discover anion exchange membranes (AEMs) with improved hydroxide conductivity and chemical durability. The researcher will help build a closed-loop discovery platform that connects automated experiments, data acquisition, analysis, predictive...

Computer Science
Chemistry
Electrical Engineering
+6 more

2 weeks ago

Publisher
source

University at Buffalo

Country flag

United States

The University at Buffalo is recruiting a Postdoctoral Associate in the Department of Materials Design and Innovation , working in the Peng Research Group . This is a research-intensive opportunity at the intersection of scientific AI , atomistic simulation , computational catalysis , and data-driven materials discovery . The successful candidate will contribute to a U.S. Department of Energy Genesis Mission project focused on developing closed-loop and agentic AI workflows for chemical-manufact...

Computer Science
Chemistry
Chemical Engineering
+6 more

1 week ago

Publisher
source

Lawrence Berkeley National Laboratory

Country flag

United States

Lawrence Berkeley National Laboratory is advertising a postdoctoral position in the Energy Technologies & Systems Division in Berkeley, California, USA . The role sits in the Jain (HackingMaterials) group and the Applied Energy Materials group , working on autonomous AI-driven materials discovery and catalyst discovery across two DOE/ARPA-E projects. Research themes include building simulation agents to predict materials properties such as Li-ion conductivity , validating predictions against aut...

Computer Science
Chemistry
Chemical Engineering
+7 more

1 month ago

About this position

Argonne National Laboratory is advertising a Postdoctoral Appointee in Materials Informatics and Autonomous Synthesis at the Center for Nanoscale Materials (CNM) in Lemont, Illinois, USA. The role sits at the intersection of materials science, chemistry, chemical engineering, polymer science, computer science, and data-driven experimentation, with a strong emphasis on AI/ML for autonomous materials discovery.

The selected postdoc will develop machine learning-ready data resources and build surrogate/predictive models that connect composition, molecular structure, synthesis and processing conditions, morphology, and device-relevant properties. The project includes active learning, Bayesian optimization, uncertainty-aware modeling, and closed-loop experimental design for autonomous platforms such as the Polybot. The broader goal is to accelerate experimentation, enable self-driving laboratories, and create reusable datasets and reproducible workflows that support long-term scientific impact.

Research applications may include organic electrochemical and neuromorphic devices, as well as related functional materials. Preferred experience includes autonomous or robotic laboratories, cheminformatics or polymer informatics, RDKit, multimodal data fusion, interpretable machine learning, NLP/text mining, workflow automation, and database development.

Eligibility highlights: a recent or soon-to-be-completed PhD (within the last 0-5 years) in chemistry, chemical engineering, materials science, polymer science, physics, computer science, and/or data science; strong Python and scientific computing skills; and evidence of independent research productivity. Applicants should also be comfortable collaborating closely with experimental researchers in a laboratory-centered environment.

The position is full time and long term (fixed term). The expected hiring range is USD 72,879 to 121,465, and Argonne notes that comprehensive benefits are part of the total rewards package. Required application materials include an updated CV/resume, unofficial PhD transcripts, and, if already awarded, a copy of the PhD diploma.

Applications should be submitted via the Argonne Careers Workday posting. No deadline is listed in the announcement.

Funding details

Postdoctoral full-time, long-term fixed-term position with an expected hiring range of USD 72,879.00-$121,465.00 plus comprehensive benefits.

What's required

Recent or soon-to-be-completed PhD within the last 0-5 years in chemistry, chemical engineering, materials science, polymer science, physics, computer science, and/or data science. Applicants should have demonstrated accomplishments in materials informatics, scientific machine learning, or AI-guided experimental design; strong Python and scientific computing skills (e.g., NumPy, pandas, scikit-learn, PyTorch, TensorFlow); experience with surrogate or predictive models and adaptive learning workflows; strong interest in working closely with experimental researchers; evidence of independent research productivity; excellent communication and interdisciplinary teamwork skills.

How to apply

Prepare an updated CV/resume, unofficial PhD transcripts, and a copy of the PhD diploma if already awarded. Apply through the Argonne Careers posting on Workday using the application link provided in the job ad.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.