Fellow (Post Doc)

About This Role

The Mike Wiegers Department of Electrical and Computer Engineering at Kansas State University seeks a Postdoctoral Fellow to advance research in nanoscale materials and electronic devices for next-generation computing. The researcher will develop and investigate devices for memory, neuromorphic computing, and energy-efficient information processing, connecting nanofabrication and experimental characterization with an understanding of underlying device physics. This position offers opportunities to conduct independent and collaborative research, mentor students, and communicate findings through publications and presentations.

About Us

The Electrical and Computer Engineering Department, as one of the eight departments within the Carl R. Ice College of Engineering, has 19 faculty members and approximately 500 undergraduate and graduate students. The department is located in the new Engineering Hall equipped with the state-of-the-art research laboratories, classrooms, and office spaces. The department has strong research programs in power systems, power electronics, wireless communications, network engineering, and biomedical engineering. More information may be found at http://ece.k-state.edu/.

The College of Engineering is committed to driving innovation through quality education in academic and applied learning experiences to prepare the next generation of technological leaders. As a premier institution, our mission is to educate and empower our students to address the challengers of a rapidly changing world. It is the most comprehensive engineering college in Kansas, with over 3100 undergraduate and graduate students.

Kansas State University, with its enrollment of approximately 20,000 students, is designated a Carnegie R1 (Very High Research Activity) Institution. The College of Engineering is located on the main KSU campus in Manhattan, KS. Manhattan is a family-friendly and safe community of 50,000 nestled in the scenic Flint Hills of Northeast Kansas. Manhattan offers affordable housing, outstanding schools, excellent parks and recreational facilities, an engaging cultural environment, and short commute times.

Worksite Description

This position is On-site.

All employees must reside in the United States when they begin working to comply with state law. K-State is unable to provide remote or hybrid work opportunities for residents of the state of Idaho.

What You'll Need to Succeed

Minimum Qualifications:

• An earned Ph.D. in electrical engineering, materials science and engineering, physics, chemical engineering, or a closely related field. The degree requirement is necessary to ensure candidates possess the specialized knowledge, skills and abilities that can only be attained through a formal educational program at this level.
• Research experience in microfabrication or nanofabrication, including hands-on experience with relevant cleanroom processes.
• Experience in the experimental characterization and analysis of electronic devices or thin-film materials.
• Possess a valid driver’s license and drive to labs in neighboring universities. An average of 4-8 hours of driving every week.

Preferred Qualifications:

• Experience fabricating and characterizing memristors, resistive switching devices, threshold switches, selectors, or related emerging electronic devices.
• Experience with photolithography or electron-beam lithography, thin-film deposition techniques such as sputtering, evaporation, or atomic layer deposition, and wet or dry etching.
• Expertise in semiconductor device physics, charge transport, switching mechanisms, or material–interface relationships.
• Experience with automated electrical measurements, pulsed characterization, low-current measurements, and instrument control using Python, MATLAB, or LabVIEW.
• Familiarity with materials characterization techniques such as scanning electron microscopy, atomic force microscopy, X-ray diffraction, or X-ray photoelectron spectroscopy.
• Experience integrating devices into arrays or test circuits for neuromorphic computing or in-memory computing.
• A record of peer-reviewed publications relevant to the position.
• Experience mentoring students, collaborating across disciplines, or contributing to research proposals.

Sponsorship eligibility:

This position is eligible for sponsorship.

How to Apply

Please submit the following documents:

• Application
• CV
• Three professional references

Application Window

Applications close on: December 11, 2026

Anticipated Hiring Pay Range

$50,000 annually