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Faculty Computational Material Science Jobs (NOW HIRING)

$122K - $155K/yr

Associate or Full Professor - Computational Materials Science The City College of New York is pleased to announce a faculty search as part of the CUNY Martin S. Spergel Initiative supported by the ...

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Computational Materials Scientist

Woburn, MA · On-site +1

$180K - $200K/yr

This powerful combination of "AI for science" and material engineering enables batteries that can ... As a Computational Materials Scientist, you will be a core data-driven modeler responsible for ...

$180K - $200K/yr

The SES AI Prometheus team is seeking an exceptional Computational Materials Scientist to combine ... and material science, driving the next generation of battery technology. * Significant ...

$67K - $92K/yr

This role focuses on accelerating innovation by combining computational science, machine learning ... material behavior, process mechanisms, and guide materials design.* Support MES product and ...

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Faculty Computational Material Science information

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$56.5K

$83.1K

$98K

How much do faculty computational material science jobs pay per year?

As of Sep 12, 2026, the average yearly pay for faculty computational material science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is a faculty in computational material science?

A Faculty in Computational Material Science is an academic professional who teaches, conducts research, and mentors students in the field of computational methods applied to material science. Their work often involves developing and applying computer simulations and theoretical models to understand and predict material properties and behaviors. Faculty members contribute to scientific advancements, publish research findings, and may collaborate with industry and other researchers. They typically hold a PhD in a related field and are employed at universities or research institutions. Their expertise helps train the next generation of scientists and engineers while advancing the field of material science.

What are the key skills and qualifications needed to thrive as a faculty in computational material science?

To thrive as a Faculty in Computational Material Science, you need a strong background in materials science, physics, and computational modeling, typically supported by a Ph.D. in a related field. Expertise in programming languages (such as Python or C++), simulation software (like VASP or LAMMPS), and familiarity with high-performance computing environments is essential. Excellent communication, mentorship, and collaboration skills help in teaching, supervising students, and fostering interdisciplinary research. These skills are crucial for advancing research, securing funding, and effectively educating the next generation of scientists.

What are some common challenges faced by faculty in computational material science, and how can they be addressed?

Faculty in Computational Material Science often encounter challenges such as securing research funding, balancing teaching and research responsibilities, and staying current with rapidly evolving computational tools and methods. Collaborating with interdisciplinary teams and engaging in continuous professional development can help address these challenges. Additionally, building a strong network within the research community and actively seeking partnerships with industry can provide valuable resources and new opportunities for research and career growth.

What is the difference between Faculty Computational Material Science vs Faculty Materials Engineering?

AspectFaculty Computational Material ScienceFaculty Materials Engineering
Required CredentialsPhD in Materials Science, Computational ModelingPhD in Materials Engineering, Applied Physics
Work EnvironmentResearch labs, university classrooms, computational facilitiesResearch labs, manufacturing settings, design studios
Employer & Industry UsageUniversities, research institutes, R&D departmentsManufacturers, aerospace, automotive, industrial firms

Faculty Computational Material Science focuses on theoretical and computational modeling of materials at the atomic and molecular levels, often within academic or research settings. In contrast, Faculty Materials Engineering emphasizes practical application, development, and testing of materials for industrial use. Both roles require advanced degrees but differ in their focus on theory versus application.

What are popular job titles related to Faculty Computational Material Science jobs?

For Faculty Computational Material Science jobs, the most frequently searched job titles are:

Infographic showing various Faculty Computational Material Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

University Faculty Computational Chemistry

Ogden, UT • On-site

Weber State University
Colleges, Universities, and Professional Schools • 1 - 5K employees

Other

Medical, Dental, Life, Retirement

Posted 3 days ago

New


Weber State University rating

6.7

Company rating: 6.7 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

University Faculty Computational Chemistry

Weber State University is an Equal Opportunity Employer committed to creating an environment welcoming to all individuals. We strive to create a culture where everyone feels valued and appreciated. All qualified applicants will receive consideration for employment without regard to protected categories, such as disability, sex, sexual orientation, gender identity, race, religion, national origin, veterans status, or others, as required by law and university policy (see Weber State University's Policy and Procedure Manual 3-32).

Position Information

Position Title: University Faculty Computational Chemistry

Requisition Number: F00545P

Job Description

The Department of Chemistry and Biochemistry at Weber State University invites applications for a tenure-track position starting July 1, 2027. We seek a broadly trained computational chemist whose expertise may include, but is not limited to, physical chemistry and molecular modeling (quantum chemistry and molecular dynamics), cheminformatics and data science, machine learning and artificial intelligence, and computational approaches to areas such as biomolecular modeling, drug discovery, materials science, catalysis, or electrochemistry.
The successful candidate will contribute to the development and integration of computational approaches throughout the undergraduate chemistry and biochemistry curriculum by incorporating appropriate computational, data‑science, and AI‑based tools into introductory and upper‑division courses. The candidate will also be expected to develop an undergraduate‑centered research program that provides students with meaningful opportunities to apply computational methods to contemporary problems in chemistry and/or biochemistry. We particularly welcome candidates whose research and teaching can strengthen interdisciplinary collaborations and expand opportunities for students to gain experience with computational and data‑driven approaches in chemistry.

Job Duties
  • Teach lower‑and‑upper‑division undergraduate courses (lectures and labs) based on the candidate’s interest/expertise and department needs.
  • Establish an active and sustained research program with an emphasis on engaging undergraduate students in computational chemistry.
  • Serve on department and university committees.
Required Qualifications
  • A Ph.D. in chemistry, biochemistry, or a closely related field completed before July 2027. ABD candidates considered if the degree is completed before July 2027.
  • Research experience in computational chemistry, quantum chemistry, molecular dynamics, cheminformatics, chemical applications of machine learning, artificial intelligence, or a closely related field.
Preferred Qualifications
  • Proven dedication to excellence in teaching at the undergraduate level.
  • Ability to contribute in meaningful ways to the department, college, and university’s advancement of student success.
  • A demonstrated commitment to high‑quality research and the ability to integrate research interests into undergraduate‑level projects.
  • Ability to establish and maintain undergraduate mentoring relationships, including mentoring students of all backgrounds
  • Track record of collaborative professionalism.
  • Excellent verbal and written communication skills.
A Successful Candidate Will:
  • Consistently work to expand their application of evidence‑based pedagogies to their teaching.
  • Collaborate with departmental colleagues on course and laboratory design.
  • Establish and maintain a productive undergraduate research program.
  • Mentor students of all backgrounds to support their academic success and career development.
  • Carry out Department, College, and University service consistent with the candidate’s interest and the needs of the institution.

Background Check? Yes

Benefits Summary

WSU offers a generous benefits package that includes medical, dental, long‑term disability, life insurance, retirement, a wellness program with release time and paid incentives, tuition benefits, free tickets to athletic and performing arts events, and paid holidays.

Full/Part Time

Full/Part Time Full Time

Open Date

Open Date 09/08/2026

Close Date

Open Until Filled Yes

Physical Activity of this position

Expressing or exchanging ideas. Those activities in which they must convey detailed or important instructions to other workers accurately or quickly. , Ability to receive detailed information with or without assistance.

Physical Requirements of this position

Light work. Exerting up to 20 lbs of force occasionally and/or up to 10 lbs of force frequently and/or a negligible amount of force constantly to move objects. Use of arm and/or leg controls exerting forces greater than that for sedentary work.

Visual Acuity Requirements

Including color, depth perception and field of vision. Required to perform activities such as preparing and analyzing data and figures; transcribing; using a computer terminal; extensive reading.

The conditions the worker will be subject to in this position

None. The worker is not substantially exposed to adverse environmental conditions (such as in typical office or administrative work).

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