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Internship Computational Materials Science Jobs in Rhinelander, WI

... Materials Science, Chemistry or related field and experience with organic synthesis and interest in developing AI/ML models. Preferred Qualifications: Experience in developing AI/ML and computational ...

Quality Engineer

Rhinelander, WI · On-site

$70K - $90K/yr

Internship experience will be considered * Prior experience in the paper industry is desirable but ... Our Filtration and Life Sciences, Food and Consumer Packaging, and Protective Materials segments ...

Internship Computational Materials Science information

See Rhinelander, WI salary details

$10

$18

$28

How much do internship computational materials science jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship computational materials science in Rhinelander, WI is $18.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $20.43 per hour, depending on experience, location, and employer.

What is an internship in computational materials science?

An internship in computational materials science is a temporary position, usually for students or recent graduates, where you gain hands-on experience using computer simulations and modeling to study and design materials. Interns typically work on research projects involving software tools to predict material properties, analyze data, or develop new materials. This experience provides valuable skills in programming, data analysis, and scientific research, which are essential for a career in materials science or related fields.

What are the key skills and qualifications needed to thrive in a computational materials science internship?

To thrive as an intern in Computational Materials Science, you typically need a solid background in materials science, physics, or related fields, along with programming skills in languages such as Python or C++. Familiarity with computational tools like Density Functional Theory (DFT) software (e.g., VASP, Quantum ESPRESSO) and data analysis platforms is highly beneficial. Strong analytical thinking, attention to detail, and effective communication set candidates apart in collaborative research environments. These competencies enable interns to contribute meaningfully to simulations, data interpretation, and innovative materials research.

What types of projects can an intern expect to work on in a computational materials science internship?

As a Computational Materials Science intern, you can expect to be involved in projects such as simulating material properties, analyzing large datasets from experiments, or developing and testing computational models. Interns often assist with software coding, data visualization, and running simulations using tools like Density Functional Theory (DFT) or molecular dynamics packages. Collaboration with other scientists and engineers is common, and you may contribute to research publications or presentations, providing valuable hands-on experience in both individual and team-based research settings.

What is the difference between Internship Computational Materials Science vs Computational Materials Scientist?

AspectInternship Computational Materials ScienceComputational Materials Scientist
CredentialsEnrolled in or recent graduate of relevant degree programsAdvanced degree (Master's or Ph.D.) in materials science, physics, or related fields
Work EnvironmentAcademic or research labs, internships at industry companiesResearch and development teams in industry or academia
ResponsibilitiesAssisting with computational modeling, data analysis, learning industry toolsLeading projects, developing models, publishing research

Internship Computational Materials Science positions are entry-level, focused on learning and supporting ongoing projects, while Computational Materials Scientists are experienced professionals responsible for independent research and development in the field.

What cities near Rhinelander, WI are hiring for Internship Computational Materials Science jobs?

Cities near Rhinelander, WI with the most Internship Computational Materials Science job openings:

Infographic showing various Internship Computational Materials Science job openings in Rhinelander, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $39,257 per year, or $18.9 per hour.

Postdoctoral Researcher

Louisiana State University

Argonne, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 18 days ago


Key responsibilities

  • Design, synthesize, and characterize membranes with high selectivity for separating rare earth elements from heterogeneous mixtures.

  • Apply AI/ML methods to improve material design and the overall electrodialysis process.

  • Collaborate with experts in polymer and ligand design, membrane fabrication, synchrotron-based characterizations, AI/ML modeling, and TEA/LCA analysis.


Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Postdoctoral ResearcherPosition Type:Non-Employee Other AcademicDepartment:LSUAM ORED - STEM - National Lab Initiative - Argonne REE Separation (Anthony C. Engler (00082540))Work Location:Argonne National LaboratoryPay Grade:Other AcademicJob Description:

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.


Job Responsibilities:

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%)


Minimum Qualifications:

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


Preferred Qualifications:

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

Additional Job Description:Special Instructions: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.

Skills Needed:

Preferred Skills:

Posting Date:August 25, 2026Closing Date (Open Until Filled if No Date Specified):October 14, 2026Additional Position Information:

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.

Essential Position (Y/N):LSU is an Equal Opportunity Employer.

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.

HCM Contact Information:

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.