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Porous Media Jobs (NOW HIRING)

Senior/Chief Scientist

Floyd, VA · On-site

$74K - $102K/yr

Scan the porous media landscape - nonwovens, polymer membranes, MOFs, zeolites, aerogels, other fibrous structures - for convergence zones and white-space opportunities invisible from within a single ...

New

Post Doctoral Scholar - Baser

Hall, NY · On-site

$49K - $67K/yr

Candidates with a background in experimental and/or numerical multiphysics modeling of porous media, applicable to both terrestrial and extraterrestrial environments, are encouraged to apply. The ...

... of flow in porous media at the pore scale. Applicants must hold a Ph.D. in an engineering discipline or a related field. Preference will be given to candidates with strong written and oral ...

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Porous Media information

See salary details

$56.5K

$120.2K

$129K

How much do porous media jobs pay per year?

As of Jul 22, 2026, the average yearly pay for porous media in the United States is $120,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $128,000.00 per year, depending on experience, location, and employer.

What does a typical day look like for someone working in a Porous Media research or engineering role?

A typical day in a Porous Media position often involves a mix of computational modeling, laboratory experimentation, and data analysis to study how fluids move through porous materials. Professionals frequently collaborate with geologists, engineers, or environmental scientists to design experiments, interpret results, and develop predictive models for real-world applications like groundwater management, oil recovery, or filtration systems. You may attend project meetings, present findings to your team, and write technical reports or publications. This dynamic, interdisciplinary environment encourages ongoing learning and provides a variety of challenges and opportunities for professional growth.

What are the key skills and qualifications needed to thrive in the Porous Media position, and why are they important?

To thrive in a Porous Media Researcher or Engineer role, you should have a solid background in engineering, geosciences, or physics with specialized knowledge in fluid dynamics and material science. Proficiency in numerical simulation software (such as COMSOL Multiphysics, MATLAB, or ANSYS), laboratory equipment, and the ability to analyze experimental or field data are often required, along with relevant certifications or advanced degrees. Strong problem-solving abilities, teamwork, and effective communication skills are critical for collaborating on multidisciplinary projects. These qualifications ensure accurate modeling, interpretation, and practical application of porous media processes in environmental, petroleum, or material science industries.

What is a Porous Media job?

A Porous Media job typically involves studying and analyzing materials that contain pores, such as soil, rock, membranes, and engineered composites. Professionals in this field work in industries like oil and gas, environmental engineering, biomedical engineering, and materials science. Their responsibilities may include modeling fluid flow through porous structures, conducting experiments, and developing applications for filtration, energy storage, or groundwater management. These roles often require expertise in computational simulations, laboratory testing, and applied physics or engineering principles.

More about Porous Media jobs
Infographic showing various Porous Media job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $120,163 per year, or $57.8 per hour.

Senior/Chief Scientist

Hollingsworth & Vose

Floyd, VA • On-site

$74K - $102K/yr

Full-time

Posted 3 days ago

New


Job description

SUMMARY:
Hollingsworth & Vose is creating a dedicated scientific role for a pioneer researcher: someone who works best at the frontier of a field, defines their own questions, and is energized by the absence of a roadmap. Your mandate is to identify, investigate, and de-risk platform-level opportunities in porous media - materials and mechanisms that could define entirely new product categories for H&V. You will report directly to senior R&D leadership, operating with genuine scientific autonomy. Title depends on experience and track record in the industry.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES:
  • Scan the porous media landscape - nonwovens, polymer membranes, MOFs, zeolites, aerogels, other fibrous structures - for convergence zones and white-space opportunities invisible from within a single material class.
  • Formulate original research hypotheses, design experiments to de-risk them, and execute at TRL 1-3 with full scientific independence.
  • Build and maintain an active presence in the external scientific community: publish, present, collaborate with academic partners, and serve as H&V's scientific antenna in your domain.
  • Apply computational and AI-assisted tools - high-throughput experimentation, design of experiments, Bayesian optimization - to accelerate discovery cycles.
  • Communicate findings clearly to senior R&D and executive leadership: what you found, what it means, and - just as importantly - what you killed and why.
  • Identify opportunities to connect emerging platform concepts to H&V's existing technical and manufacturing capabilities where genuine synergy exists.
  • Lead or aid in the commercialization of platform concepts

EDUCATION AND EXPERIENCE:
  • PhD in STEM category - Chemical, Mechanical, Material sciences, and other porous media related disciplines or BS/MS degrees with equivalent work experience
  • A track record of originating research and successful commercialization,
  • First-author publications in peer-reviewed journals and/or Named inventorship (not just assignee)
  • 10+ years of product development experience

STRONGLY DIFFERENTIATING:
  • Cross-domain literacy across the porous media landscape. Deep expertise in one material class is expected;
  • Computational and AI fluency: proficiency in design of experiments and Bayesian optimization (required); Python or equivalent scripting for data analysis (strongly preferred); familiarity with high-throughput experimentation platforms or closed-loop optimization systems (a real differentiator).
  • An active, generative external scientific network - not passive literature consumption. Conference participation, invited presentations, peer-review activity, or academic collaborations.
  • The intellectual disposition to propose ideas that contradict current product logic and defend them with data.
  • Previous technology scouting experience