~4d ago

Postdoctoral Researcher

Argonne National Laboratorymid
Postdoctoral ResearcherLaboratory & Life Sciences
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Quick Summary

Key Responsibilities

Conduct research on membranes with high selectivity towards rare earth elements. This includes designing, synthesizing,

Requirements Summary

Ph.D. in Chemical Engineering, Materials Science, Chemistry or related field and experience with organic synthesis and interest in developing AI/ML models.

Technical Tools
Postdoctoral ResearcherLaboratory & Life Sciences

Postdoctoral Researcher

   

Non-Employee Other Academic

   

LSUAM ORED - STEM - National Lab Initiative - Argonne REE Separation (Anthony C. Engler (00082540))

   

Argonne National Laboratory

   

Other Academic

   

The Engler and Owoyele research groups in collaboration with Argonne National Laboratory are seeking a Post Doctoral Researcher to conduct investigations on materials and design of membranes to recover rare earth elements and apply AI/ML methods to improve an electrodialysis process. This position is funded by a LSU internal seed grant and in collaboration with Argonne National Laboratory and will be located at Argonne National Laboratory in Lemont, Illinois. The main duties will include designing, synthesizing, and characterizing membranes with high selectivity towards separating rare earth elements from heterogeneous mixtures and applying AI/ML methods to improve the material design and overall electrodialysis process. They will collaborate with experts in polymer and ligand design, membrane fabrication and processing, synchrotron-based characterizations, AI/ML modeling, and TEA/LCA analysis. The successful candidate will demonstrate strong initiative, leadership, creativity, communication skills, and a collaborative mindset. The candidate will work both independently and collaboratively on research projects, write reports and manuscripts, and present findings at science and engineering conferences. This position is planned to last two years.

Responsibilities

~1 min read

Conduct research on membranes with high selectivity towards rare earth elements. This includes designing, synthesizing, and characterizing membranes with high selectivity towards separating rare earth elements from heterogeneous mixtures and applying AI/ML methods to improve the material design and overall electrodialysis process. (50%)


Collaborate with experts in polymer and ligand design, membrane fabrication and processing, synchrotron-based characterizations, AI/ML modeling, and TEA/LCA analysis. (40%)


Write reports to project sponsor, manuscripts, and give presentations at conferences (10%)

Requirements

~1 min read

Ph.D. in Chemical Engineering, Materials Science, Chemistry or related field and experience with organic synthesis and interest in developing AI/ML models.


Experience in developing AI/ML and computational models for scientific/engineering applications

   

The postdoc will work closely with LSU faculty and will be embedded within the research environment at Argonne National Laboratory .

Applicants should submit:
1. Curriculum Vitae (CV)
2. Cover letter outlining research experience and interest in the position
3. Brief research statement (1–2 pages)
4. Contact information for 3 references

Please attach ALL required documents under the "Resume/CV" section of your application.

A copy of your transcript(s) may be attached to your application (if available). However, original transcripts are required before hiring.

Due to the nature of the position and/or position responsibilities, this position shall be subject to pre-employment screenings in accordance with University Policy as required and RS:17 screenings (https://www.legis.la.gov/legis/Law.aspx?p=y&d=1297548).

For questions or concerns about updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu.

For questions regarding pay or the status of your application, please contact Dr. John Flake at johnflake@lsu.edu.

   

   

Nice to Have

~1 min read

   

August 25, 2026

   

October 14, 2026

  

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

   

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University’s partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

   

   

   

All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university’s ability to employ individuals in certain positions.

   

For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu.  For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.

Location & Eligibility

Where is the job
Argonne National Laboratory
On-site at the office
Who can apply
Same as job location

About this job

Posted
4 days ago
Employer
has 330 open jobs on Jobera.

Listing Details

First seen
October 10, 2026
Last seen
October 13, 2026

Posting Health

Days active
4
Repost count
0
Trust Level
51%
Scored at
October 15, 2026

Signal breakdown

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Postdoctoral Researcher