Post Doctoral Research Fellow

Join to apply for the Post Doctoral Research Fellow role at Boise State University School of Nursing

Serves in a temporary position that enables an individual with their Ph.D. to continue their training as a researcher and gain skills and experience that will prepare them for their research career in academia or elsewhere. As a postdoc, the position can perform mostly independent research, collaborate on a multi‑scholar research initiative, or even may have lead responsibility for discrete components of a larger research project or program, all while under the general direction of a senior or principal researcher.

This is a temporary opportunity with an anticipated duration of 2.5 years.

This fellowship will be housed in the Electronic and Neuromorphic Devices and Systems Laboratory of Professor Kurtis Cantley in the Department of Electrical and Computer Engineering.

After earning a Ph.D., the next step in the academic or research career path is often a postdoc. A postdoc is a continuation of a researcher’s training that enables them to further their professional development and start to transition from student to independent researcher. Postdocs also often take additional leadership or teaching responsibilities in their laboratory or department. These positions are usually two to three years and it is not unusual for a researcher to do more than one postdoc.

• 60% of the time the Postdoctoral Research Fellow may:
  • Lead both computational and experimental aspects of spiking neuromorphic architecture design.
  • Integrate measured material properties and device behaviors with performance outcomes at the network/architecture level.
  • Publish high‑impact research in top‑tier neuromorphic engineering, circuit design, and/or computing journals and conferences.
  • Collaborate closely with materials teams in AWESOME Subprojects 2 and 3 as well as other project collaborators.
  • Present research at national/international conferences, contribute to grant proposal writing and development, and engage in reflective mentoring practices to support team cohesion.
  • Mentor peers in both computational and experimental research methodologies for spiking neuromorphic architectures.
  • Train in advanced electrical characterization techniques and lab set‑up.
  • Lead undergraduate and graduate student researchers and help with grant and proposal writing.
  • Collaborate with industry partners and explore technology transfer opportunities.
• 35% of the time the Postdoctoral Research Fellow will:
  • Problem‑solve research challenges and model development, as applicable.
  • Contribute discrete components of a larger project under the general direction of a senior or principal researcher.
  • Prepare complete documentation of research activities for reference purposes, following applicable data management protocols.
  • Analyze, interpret, and document research findings for review.
  • Compare actual and expected results and suggest solutions to correct deviations.
  • Evaluate existing research or modeling techniques and recommend improvements to ensure quality and productivity.
  • Assist in the preparation of proposals and reports.
  • Assist in teaching classes.
• 5% of the time the Postdoctoral Research Fellow will: perform other duties as assigned.

• Basic
  :
  • The selected candidate must be eligible to work in the United States at the beginning of the appointment and continue legally for the proposed term.
  • Excellent teamwork and communication skills.
  • Scientific writing skills demonstrated through peer‑reviewed publications.
  • Ability to acquire accurate, reproducible data.
  • A critical eye toward consistency, reproducibility, and the scientific method.
  • Excellent project and time‑management skills.
  • Strong interpersonal and mentoring skills.
  • Advocacy for safety and ethics in the workplace.
• Preferred
  :
  • Experience with integrated CMOS circuit design, verification, and tape‑out in standard process technologies using tools such as Cadence.
  • Strong background in design and simulation of spiking neuromorphic architectures, including encoding schemes, training/learning approaches, and physical implementations.
  • Foundational…