1

Computational Vasp Jobs in Colorado (NOW HIRING)

Computational Vasp information

What is a computational VASP specialist?

A Computational VASP specialist is an expert who uses the Vienna Ab initio Simulation Package (VASP) for performing quantum mechanical simulations of materials at the atomic scale. VASP is a widely used software tool in computational physics, chemistry, and materials science for modeling and predicting the properties of solids, surfaces, and molecules. Specialists in this field typically have a strong background in computational methods, quantum mechanics, and materials modeling, and they often work in research, development, or academic settings.

What are the key skills and qualifications needed to thrive as a computational VASP specialist?

To thrive as a Computational VASP Specialist, you need a solid background in computational physics, materials science, or chemistry, often supported by an advanced degree and experience with first-principles calculations. Proficiency in using VASP software, Linux/Unix systems, scripting languages (like Python or Bash), and high-performance computing resources is crucial. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These competencies enable accurate simulations, efficient workflow management, and clear collaboration with interdisciplinary research teams.

What are some common challenges faced by professionals working with VASP in computational research roles?

Professionals using VASP (Vienna Ab initio Simulation Package) in computational research often face challenges such as optimizing calculation parameters for accuracy versus computational cost, managing large datasets from simulations, and ensuring reproducibility of results. Additionally, they frequently need to collaborate closely with experimental teams to validate findings and may spend significant time troubleshooting input files or convergence issues. Staying updated with the latest software updates and computational techniques is also important to maintain efficient workflows.

What is the difference between Computational Vasp vs Quantum Chemistry Software Developer?

AspectComputational VaspQuantum Chemistry Software Developer
Required CredentialsPhysics or materials science degree, experience with DFTChemistry or physics degree, programming skills in quantum chemistry
Work EnvironmentResearch labs, computational clustersResearch institutions, software development teams
Industry UsageMaterials science, condensed matter physicsPharmaceuticals, chemical research, academia

Computational Vasp focuses on simulating materials properties using density functional theory, primarily in materials science. Quantum Chemistry Software Developers create tools for molecular modeling and quantum calculations. While both roles involve quantum mechanics and programming, Vasp specialists typically work on materials simulations, whereas developers focus on software creation for quantum chemistry applications.

What are popular job titles related to Computational Vasp jobs in Colorado?

For Computational Vasp jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Computational Vasp jobs?

Cities in Colorado with the most Computational Vasp job openings:

Infographic showing various Computational Vasp job openings in Colorado as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Researcher - Computational Synthesis of PGM-free Fuel Cell Catalysts

Nrel

Golden, CO • On-site

$76K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Posting TitlePostdoctoral Researcher - Computational Synthesis of PGM-free Fuel Cell Catalysts

.

LocationCO - Golden

.

Position TypePostdoc (Fixed Term)

.

Hours Per Week40

.

Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.

Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.

At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.

Job Description

The Advance Computing Solutions group in the NLR Computational Science Center has an opening for a post doctoral researcher in computational synthesis, with a particular emphasize on machine-learned interatomic potentials (MLIPs). The researchers will train MLIPs, assess their accuracy and apply them to studying the relevant reaction energetics for synthesis of Fe-N-C fuel cell catalysts using automated workflows. In conjunction with a team of staff scientists, different synthetic precursors will be identified for subsequent synthesis.

We are looking for a dynamic, motivated researcher with a strong technical background and an interest in the mission of NLR. The successful candidate will collaborate with NLR staff and researchers to train and deploy MLIPs for the optimization of Fe-N-C catalyst synthesis.

Responsibilities include:

  • Fine-tuning of foundational model MLIPs with domain-specific data and assessment of their accuracy

  • Collaboration with NLR researchers to use the trained MLIPs to study the chemistry of Fe incorporation into N-C sites for different synthetic precusors

  • Developing automated workflows in conjunction with NLR and collaborating institutions, including automated analysis using AI

  • Processing and visualizing results from simulations provide chemical insight and intuition into important chemical reactions.

  • Authoring, presenting and assisting in the preparation of technical papers, reports and conference proceedings on topics related to MLIP studies of the synthesis of Fe-N-C fuel cell catalysts.

.

Basic QualificationsMust be a recent PhD graduate within the last three years.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications
  • Excellent written and verbal communication skills.
  • Excellent knowledge of chemistry, including molecular dynamics and reaction modeling
  • Experience with the MACE-based foundational models and their fine-tuning
  • Experience with creating python environments for training MLIPs, performing MLIP-based molecular dynamics and nudged-elastic band calculations, and performing analysis of results with high throughput
Preferred Qualifications
  • Knowledge of workflow automation, including the use of AI for automated analysis of data.

  • Experienced running density functional theory (DFT) software packages such as JDFTx for VASP.

.

Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full-time 40 hours per week)Job Profile: Postdoctoral Researcher / Annual Salary Range: $76,600 - $126,400

NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.

Benefits SummaryBenefits include medical, dental, and vision insurance; short-term disability insurance*; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; and paid holidays. NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.

* Based on eligibility rules

Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation.Drug Free Workplace

NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

Submission Guidelines

Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Reasonable Accommodations

E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.

E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.