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Remote Material Science Postdoc Jobs in Pennsylvania

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS The Department of Materials Science and Engineering in the College of Earth and ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Ph.D . in Chemistry, Materials Science, Chemical Engineering, or a related field by start date.

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Material Science ICDS Fellows will be part of a highly collaborative and interdisciplinary research ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... PhD in Chemistry, Materials Science or related discipline by the start date * Expertise with ReaxFF ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... areas such as materials science, chemistry, biology, healthcare, and other data-intensive ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The postdoc will play a central role in both the scientific application and open-source software ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... D. in a social science field such as sociology, demography, gerontology, human development and ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... A strong background in artificial intelligence, machine learning, computational science, data ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Strong scientific communication in English (Written and verbal), French fluency is a plus but not ...

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Remote Material Science Postdoc information

What is the difference between Remote Material Science Postdoc vs Remote Materials Engineer?

AspectRemote Material Science PostdocRemote Materials Engineer
Required CredentialsPhD in Material Science or related fieldBachelor's or Master's in Materials Engineering or related
Work EnvironmentResearch-focused, academic or lab setting, remote options availableIndustry-focused, product development, remote or hybrid options
Employer & Industry UsageUniversities, research institutes, some industry R&DManufacturing, aerospace, electronics, and related industries

The main difference is that Remote Material Science Postdocs are primarily involved in research and academic projects, often requiring a PhD, while Remote Materials Engineers focus on applying material science principles to develop products and solutions in industry, typically with a bachelor's or master's degree. Both roles may be remote, but their core responsibilities and work environments differ significantly.

What are the most commonly searched types of Material Science Postdoc jobs in Pennsylvania?

The most popular types of Material Science Postdoc jobs in Pennsylvania are:

What are popular job titles related to Remote Material Science Postdoc jobs in Pennsylvania?

For Remote Material Science Postdoc jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Remote Material Science Postdoc jobs in Pennsylvania look for?

The top searched job categories for Remote Material Science Postdoc jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Remote Material Science Postdoc jobs?

Cities in Pennsylvania with the most Remote Material Science Postdoc job openings:

Infographic showing various Remote Material Science Postdoc job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Postdoctoral Scholar - Reinhart Group - Materials Science and Engineering

On-site, Remote

The Pennsylvania State University
Education • 11 - 50 employees

Full-time

Posted 18 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding.

POSITION SPECIFICS

The Department of Materials Science and Engineering in the College of Earth and Mineral Sciences is searching for a postdoctoral scholar. The position will involve machine learning for autonomous thin-film materials synthesis, including representation learning for scientific data, multimodal data fusion, and real-time predictive modeling. This work will be performed as part of LATTICE (Layered and Thin Film Technologies with Intelligent Cloud Experimentation), a National Science Foundation Programmable Cloud Laboratory at the Pennsylvania State University's University Park campus.

The postdoctoral scholar will develop specialized machine learning models that enable AI systems to interpret scientific data from instruments including atomic force microscopy, reflection high-energy electron diffraction, spectroscopic ellipsometry, X-ray diffraction, and similar characterization methods. These models serve as the perceptual layer for a multi-agent AI framework that will guide autonomous materials synthesis and interact with robotic systems. The models will be trained, calibrated, and validated against the specific data modalities produced by LATTICE instrumentation. The scholar will deploy these models on edge-computing infrastructure for real-time feedback during deposition and integrate them with the Lifetime Sample Tracking data platform. The position requires close collaboration with LATTICE domain scientists in thin-film growth and characterization, AI researchers developing the agentic workflow framework, and future users of the LATTICE framework.

Requirements

Candidates must have a Ph.D. in Materials Science and Engineering, Computer Science, Electrical Engineering, Physics, or a related field, plus a strong record of research experience in applied machine learning, computer vision, and/or scientific data analysis.

Preferred

Experience with one or more of the following is strongly preferred: deep learning for image analysis, multimodal or multi-task learning, or deployment of ML models in real-time or edge-computing environments. Domain knowledge of materials science, chemistry, or physics will be an advantage. Extensive programming experience in Python is required, and familiarity with PyTorch or JAX is preferred.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

BENEFITS

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.

For more detailed information, please visit ourBenefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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