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Internship Computational Material Science Jobs (NOW HIRING)

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

As of Jul 21, 2026, the average hourly pay for internship computational material science in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is an internship in computational material science?

An internship in computational material science is a temporary position, often for students or recent graduates, where participants work with experts to apply computer modeling and simulations to study materials at the atomic or molecular level. Interns typically use specialized software to predict material properties, analyze data, and support ongoing research projects. These internships provide hands-on experience in both materials science and computational techniques, helping to prepare individuals for careers or further study in the field.

What types of projects and collaborations can I expect during an Internship in Computational Material Science?

As an intern in Computational Material Science, you will typically work on projects involving the simulation and modeling of materials using computational tools and software. These projects often require close collaboration with other interns, research scientists, and sometimes experimentalists to validate your computational results. You may contribute to ongoing research, assist in code development, analyze data, and present findings to the team. This environment encourages skill development in programming, data analysis, and scientific communication, while also providing valuable exposure to multidisciplinary teamwork.

What are the key skills and qualifications needed to thrive as an Internship Computational Material Science, and why are they important?

To thrive as an intern in Computational Material Science, you generally need a strong foundation in materials science, physics, chemistry, and programming, often supported by coursework or experience in these areas. Familiarity with simulation software (such as VASP, LAMMPS, or Quantum ESPRESSO), coding languages like Python or MATLAB, and potentially basic knowledge of high-performance computing systems is typically required. Analytical thinking, attention to detail, and effective communication are valuable soft skills that help in interpreting results and collaborating with research teams. These skills and qualities are essential for conducting accurate simulations, solving complex research problems, and contributing meaningfully to scientific projects.
What cities are hiring for Internship Computational Material Science jobs? Cities with the most Internship Computational Material Science job openings:
What are the most commonly searched types of Computational Material Science jobs? The most popular types of Computational Material Science jobs are:
What states have the most Internship Computational Material Science jobs? States with the most job openings for Internship Computational Material Science jobs include:
Associate to Full Professor, Tenured, Computational Materials Science, Department of Physics and Ast

Associate to Full Professor, Tenured, Computational Materials Science, Department of Physics and Ast

Baylor University

Waco, TX • On-site

Full-time

Posted 21 days ago


Baylor University rating

7.2

Company rating: 7.2 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

345th of 555 rated colleges and universities


Job description

Description
The Department of Physics and Astronomy in the College of Arts & Sciences at Baylor University invites applications for a tenured faculty position at the rank of Associate or Full Professor, effective Fall 2027. We seek an established, internationally recognized leader in computational materials science whose research integrates first-principles methods with modern informatics, artificial intelligence, and machine learning to predict, design, and understand the electronic, magnetic, optical, and topological properties of next-generation quantum materials. This position is part of a strategic cluster hire in "Novel Quantum Materials for Next-generation Electronics, Spintronics, and Optoelectronics", aligned with Baylor's Baylor in Deeds strategic plan (2024-2030), particularly its commitment to Broadening Interdisciplinary Research and Impact, and responsive to federal priorities established by the National Quantum Initiative Act and the CHIPS and Science Act. The successful candidate will help support Baylor's growing Materials Science capabilities spanning materials synthesis, advanced spectroscopic and magnetic characterization, and high-performance computation, with strong collaborative ties to faculty in Physics & Astronomy, Chemistry & Biochemistry, and the School of Engineering & Computer Science.
Position Responsibilities
We expect the successful candidate to:
• Lead an externally funded, internationally visible research program in computational/theoretical quantum materials, leveraging informatics-driven approaches (machine learning, high-throughput ab initio, data-driven discovery) alongside advanced computational methods (e.g., DFT+DMFT, GW, quantum embedding, Green's function approaches, etc.).
• Mentor graduate students and postdoctoral researchers and contribute to vibrant Ph.D. programs in Physics and Materials Science.
• Teach undergraduate and graduate courses in physics, including specialized offerings in condensed matter theory, computational physics, or quantum information science.
• Provide intellectual leadership for collaborative, multi-investigator proposals to agencies including NSF, DOE, and DoD (ARO, AFOSR, ONR, DARPA), and help shape the strategic direction of quantum materials science at Baylor.
Candidates who are outside of the United States and do not have other nonimmigrant visa status will not be sponsored for an H-1B petition.
About Baylor University: Baylor University is located in Waco, Texas and is the oldest college in the state. It has a diverse student population of 21,000 and is recognized as an R1 institution by the Carnegie Classification. Baylor is also noted on the honor roll of "Great Colleges to Work For" by ModernThink. We offer competitive salaries and benefits, allowing fauclty and staff to live in one of the fastest-growing parts of the state. As a Christian university with historic Baptist roots and as reflected in the Notice of Non-Discrimination, Baylor strives to be a place characterized by civility and respect. We believe each student, faculty, staff, and administrator is made in the image of God. Baylor's new strategic plan, Baylor in Deeds, guides the University as it continues its mission of educating men and women for worldwide leadership and service by integrating academic excellence and Christian commitment within a caring community.
Qualifications
Required Qualifications:
• Ph.D. in Physics, Applied Physics, Materials Science, or a closely related field.
• A strong record of scholarly accomplishment commensurate with appointment at the tenured Associate or Full Professor rank, including a sustained history of peer-reviewed publications in high-impact journals, and external research funding.
• Demonstrated expertise in computational or theoretical methods applied to quantum materials - for example, electronic structure theory, strongly correlated electron systems, topological matter, or quantum transport - combined with experience deploying AI/ML or related informatics methods for materials prediction, design, or analysis.
• Evidence of effective teaching, mentoring, and a commitment to collegial, interdisciplinary collaboration.
Application Instructions
Applicants should submit through Interfolio: (1) a cover letter, (2) curriculum vitae, (3) a research statement describing prior accomplishments and future plans, (4) a teaching statement, (5) a copy of the official transcript from the highest-degree granting institution (if the doctorate is in progress, a copy of the official transcript of completed doctoral hours should be submitted), and (6) the names and contact information of four professional references. All applicants must complete the self-disclosed Religious Affiliation Form in Interfolio.
All materials must be received by 11 PM Central Daylight Time on 09/15/26. Questions concerning the position should be directed to Search Committee Chair Dr. Garritt Tucker at Garritt_Tucker@baylor.edu.

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