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Postdoctoral Position In Battery Jobs (NOW HIRING)

Indiana University

Postdoctoral Fellow

Bloomington, IN · On-site

$45K - $61K/yr

Posting Details Position Details Title Postdoctoral Fellow Appointment Status Non-Tenure Track Department IU Bloomington Physics Location Bloomington Position Summary Postdoctoral Position in ...

GO-Energy Geosciences

Postdoctoral Scholar

Bodega Bay, CA · On-site

$69K - $107K/yr

... position utilizing universal potentials, machine learning interatomic potentials, atomistic ... We invest in our employees by offering a total rewards package you can count on: * Be a part of a ...

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Postdoctoral Position In Battery information

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$25K

$59K

$83.5K

How much do postdoctoral position in battery jobs pay per year?

As of Jun 7, 2026, the average yearly pay for postdoctoral position in battery in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What is a postdoctoral position in battery research?

A postdoctoral position in battery research is a temporary research role, typically taken after completing a PhD, where scientists work on advanced projects related to battery materials, design, or performance. These positions are often found in universities, research institutes, or industry labs and focus on developing new battery technologies or improving existing ones. Postdocs in this field conduct experiments, publish research, and often collaborate with multidisciplinary teams to solve challenges in energy storage. The experience gained during a postdoctoral appointment helps researchers build expertise and advance their academic or industry careers.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Battery Technology, and why are they important?

To excel as a Postdoctoral Researcher in Battery Technology, you generally need a Ph.D. in chemistry, materials science, or a related field, with strong expertise in electrochemistry and energy storage systems. Experience with laboratory techniques such as battery fabrication, characterization instruments (e.g., SEM, XRD), and proficiency in data analysis or simulation software is typically expected. Critical thinking, problem-solving ability, and clear scientific communication are important soft skills that distinguish top candidates. These skills and qualifications are essential for advancing innovative battery research, contributing to interdisciplinary teams, and publishing impactful scientific findings.

What are the typical research responsibilities and collaborative opportunities in a postdoctoral position focused on battery research?

In a postdoctoral battery research role, your daily responsibilities may include designing and conducting experiments, analyzing electrochemical data, and publishing your findings in scientific journals. You will often collaborate closely with interdisciplinary teams, including chemists, materials scientists, and engineers, both within your institution and with external partners. Postdocs in this field frequently contribute to grant writing and mentor graduate or undergraduate students. These positions offer excellent opportunities to develop project management skills and build a network, paving the way for future roles in academia, industry, or research leadership.

What is the difference between Postdoctoral Position In Battery vs Postdoctoral Position In Fuel Cells?

AspectPostdoctoral Position In BatteryPostdoctoral Position In Fuel Cells
Required CredentialsPhD in Chemistry, Materials Science, or related fieldPhD in Chemistry, Materials Science, or related field
Work EnvironmentResearch labs focused on electrochemical energy storageResearch labs focused on electrochemical energy conversion
Employer & Industry UsageUniversities, research institutes, battery manufacturersUniversities, research institutes, fuel cell companies
Common Search & Comparison IntentUnderstanding roles in battery researchUnderstanding roles in fuel cell research

Both positions require a PhD in a related scientific field and involve research in electrochemical energy technologies. The main difference lies in their focus: battery positions concentrate on energy storage solutions, while fuel cell roles focus on energy conversion. Candidates should choose based on their research interests and career goals within the energy sector.

Infographic showing various Postdoctoral Position In Battery job openings in the United States as of May 2026, with employment types broken down into 50% Locum Tenens, and 50% Full Time. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Appointee - Data Infrastructure and Software for AI

Postdoctoral Appointee - Data Infrastructure and Software for AI

Argonne National Laboratory

Lemont, IL • On-site

$70K - $117K/yr

Full-time

Posted 3 days ago

Job description

The Argonne Leadership Computing Facility's (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world's largest and most complex problems with our unique combination of supercomputing resources and computational science expertise.
The ALCF has an opening for a postdoctoral position in data management targeting AI applications at scale. The successful candidate will join the AL/ML group, a vibrant multidisciplinary team of scientists and High Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state-of-the-art data management, machine learning and statistics techniques. With the advancement of Exascale systems and the variety of novel AI hardware designed to accelerate both training and inference, the ALCF is studying the application of these techniques to a variety of our science applications, including but not limited to: Computational Chemistry, Plasma Physics, High Energy Physics, analysis of Light Source data such as that from the Advanced Photon Source, Biology, Astronomy, and other science disciplines.
The chosen applicant will have a rare chance to work on exascale supercomputing systems and novel AI hardware to help solve significant real-world problems using machine learning and deep learning. ALCF researchers work in a highly collaborative environment involving science application teams, academia and industry, as well as other national labs and agencies, to solve some of the world's largest and most complex problems in science and engineering.
Objective:
  • The goal for this postdoctoral position to work on development and scaling of the data infrastructure and software for AI applications on supercomputing systems and AI testbed systems.
  • The postdoc will work on multimodal data management for science applications, focusing on integrating, organizing, and analyzing diverse data types to accelerate scientific discovery and innovation.
  • Another goal is to develop and evaluate vector databases and retrieval-augmented generation (RAG) and integrate agentic AI systems to meet the demands of large-scale fine-tuning and inference.
  • The postdoc will also work on design and implement agentic-AI workflows using the Model Context Protocol (MCP) to orchestrate data ingest and data movement across heterogeneous storage systems, including object stores.
  • The postdoc will also engage with science application teams and contribute to broader initiatives, including the American Science Cloud (AmSC) AI Services efforts, and to help us with design of future systems and data-management solutions to meet needs of our applications.

Benefit to ALCF:
This postdoc position will help ALCF evaluate and integrate data infrastructure needed to better facilitate AI models, including training, fine-tuning and inferencing, at scale. It will help us better understand and improve DAOS to meet the needs of AI-driven science applications. We expect the postdoc to help prototype, benchmark, and evaluate strategies to better support these workloads for Aurora.
Position Requirements
Required skills and qualifications:
  • A recent PhD (completed within the last 0-5 years) in computer science, computational science, a physical science, engineering, or related field
  • Comprehensive experience programming in one or more programming languages such as Python, C/C++
  • Experience with at least of one of the AI frameworks is required, such as PyTorch, TensorFlow
  • Ability to create, maintain, and support high-quality software is essential
  • Work with and contribute to domain-specific software and models
  • Experience with version control software such as git is essential
  • Effective written and oral communications skills
  • Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork

Preferred skills and qualifications:
  • Experience with running simulations or AI workflows on supercomputers
  • Experience with training or applying large language models for research
  • Experience with MPI and Input/Output (I/O), and data management
  • Experience in writing technical papers and presentations

Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The expected hiring range for this position is $70,758.00-$117,925.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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