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Postdoctoral Semiconductor Jobs (NOW HIRING)

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Postdoctoral Semiconductor information

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$25K

$59K

$83.5K

How much do postdoctoral semiconductor jobs pay per year?

As of Jul 11, 2026, the average yearly pay for postdoctoral semiconductor in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Postdoctoral Semiconductor Researcher, and why are they important?

To thrive as a Postdoctoral Semiconductor Researcher, you need a PhD in physics, electrical engineering, materials science, or a related field, with a strong background in semiconductor devices and materials. Expertise in cleanroom processes, semiconductor fabrication tools, advanced characterization techniques, and simulation software is typically required. Strong analytical thinking, problem-solving skills, and effective communication help drive collaboration and innovation in research teams. These skills ensure high-quality research outcomes, the ability to tackle complex technical challenges, and contribute valuable advancements to the semiconductor field.

What are the typical research responsibilities and collaborative opportunities for a Postdoctoral Semiconductor researcher?

As a Postdoctoral Semiconductor researcher, your daily responsibilities often include designing and conducting experiments, analyzing data, and publishing results in peer-reviewed journals. You will likely work closely with multidisciplinary teams, including faculty members, Ph.D. students, and industry partners, to advance semiconductor technology. Collaborative opportunities are abundant, as projects frequently involve partnerships with national laboratories or private companies, providing valuable exposure to both academic and applied research environments. This role also offers the chance to mentor junior researchers and expand your professional network within the semiconductor field.

What are Postdoctoral Semiconductor positions?

Postdoctoral Semiconductor positions are research roles offered to individuals who have recently completed their Ph.D. in fields related to semiconductor physics, materials science, electrical engineering, or similar disciplines. These positions typically focus on conducting advanced research in the design, fabrication, and characterization of semiconductor materials and devices. Postdocs in this field work in academic, government, or industry labs, collaborating with other scientists and engineers to push the boundaries of semiconductor technology. The role is usually temporary, lasting two to three years, and aims to further develop specialized expertise before pursuing a permanent academic or industry position.
More about Postdoctoral Semiconductor jobs
What cities are hiring for Postdoctoral Semiconductor jobs? Cities with the most Postdoctoral Semiconductor job openings:
What states have the most Postdoctoral Semiconductor jobs? States with the most job openings for Postdoctoral Semiconductor jobs include:
Infographic showing various Postdoctoral Semiconductor job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 3% Part Time, 1% Contract, and 4% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Fellow (PREP0003620)

Postdoctoral Fellow (PREP0003620)

Johns Hopkins University

Gaithersburg, MD • On-site

$53K - $72K/yr

Full-time

Re-posted 3 days ago


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Job description

Description
PREP Research Associate
CHIPS Funded Project
This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title:
Postdoctoral Researcher Applying Machine Learning Methodologies to Predict Spectra of PFAS Compounds
The work will entail:
The Materials Measurement Laboratory of the National Institute of Standards and Technology is seeking qualified persons (U.S. Citizens preferred) to apply modern methods in artificial intelligence (AI) and machine learning (ML) to the problem of predicting infrared spectra and mass spectra for PFAS compounds. The candidate should have a strong background in AI/ML with application to chemical problems, have familiarity with infrared and mass spectra, and understand the relevant chemistry of PFAS molecules. This position will involve working with a team of chemists, physicists, mathematicians, data scientists and machine learning experts characterizing PFAS molecules used in the semiconductor industry with the goal of discovering new molecules for the semiconductor etching process.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
• Develop libraries of training data through mining of existing databases and simulation of infrared and mass spectra using quantum chemistry and related methodologies.
• Create AI/ML models for high-fidelity prediction of the infrared and mass spectra and validate their use in matching experimentally measured spectra.
• Collaborate with other computational and experimental researchers to meet project goals.
• Disseminate results through publications, talks, poster presentations, etc.
Qualifications
• Ph.D. in chemistry, physics, or a closely aligned field.
• Demonstrated experience in conducting quantum scattering calculations.
• Strong programming skills in languages such as Python or C/C++, experience using modern software frameworks for AI/ML, and experience in data analysis.
• Motivated, independent researcher with good organizational, communication and leadership skills.
• Solid track-record of scientific publication.
Application Instructions
Please upload the following with your application:
• CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
Self portraits
Phone number
Home address/Country
Citizenship status
Languages spoken
Sex/Gender
Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.

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