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Assistant/Associate/Full Professor - Radiation Safety

Job Locations US-KS-Manhattan
Requisition ID 2026-3848
Category
Training & Education
Type
Temporary (Sourcing Only)

Overview

 

Pay Range: $125–175k 
Duration: Full‑time, permanent faculty role - contracted to work during the academic year (9 months)
Projected Start Date: ASAP (ideally early summer so onboarding funds can be utilized; teaching begins in August)
Relocation: Available

Work Format: In‑person

 

 

The Alan Levin Department of Mechanical and Nuclear Engineering at Kansas State University is seeking applications for a faculty position in Nuclear Engineering. The successful candidate will be expected to develop and maintain a strong, externally funded research program in fusion that complements the Nuclear Engineering Program's strengths and supports the University's focus on secure energy as an enabling technology. Additionally, the successful candidate will teach nuclear engineering courses and represent K-State through professional service in national and international roles. This recruitment is for a tenure-track, assistant professor, but highly qualified candidates may be considered at the level of associate or full professor. Tenure will only be considered for exceptional candidates.

About Us

 

The Nuclear Engineering Program at Kansas State University includes:

  • 8 faculty members
  • 2 professional staff
  • 140 undergraduate and graduate students
  • A TRIGA Mark II Nuclear Reactor (1.25 MW, pulsing capabilities)

The program is rapidly expanding, supported by significant state and federal investments. 

More information is available at: http://www.mne.ksu.edu

 

 

The position is based on the Manhattan campus, located in the scenic Flint Hills. Manhattan is a vibrant, family-friendly community and the cultural and economic hub of a tri‑county region with more than 200,000 residents. Learn more at www.manhattan.org.

 

 

 

Responsibilities

 

 

Position Summary

  • Tenure-track faculty position in Nuclear Engineering at Kansas State University.
  • Preferred emphasis on fusion research.
  • Opportunity for appointment at Assistant Professor, with consideration for Associate or Full Professor ranks for exceptional candidates.
  • Tenure upon appointment only considered for outstanding candidates.

Key Responsibilities

  • Develop and sustain a robust, externally funded research program in fusion.
  • Conduct research that enhances existing departmental strengths and supports the University’s strategic focus on secure energy.
  • Teach undergraduate and graduate nuclear engineering courses.
  • Provide professional service at national and international levels, representing Kansas State University.

Research Expectations

  • Build a competitive research portfolio focused on fusion or fusion‑related technologies.
  • Pursue external funding from federal agencies, national laboratories, and industry partners.
  • Collaborate with internal and external stakeholders in the nuclear engineering community.

Teaching & Service Expectations

  • Deliver high-quality instruction to nuclear engineering students.
  • Mentor undergraduate and graduate researchers.
  • Engage in academic service within the department, college, and professional organizations.

 

 

Qualifications

 

  • PhD in Nuclear Engineering, Physics, or a closely related field from an accredited institution
    This requirement ensures accreditation compliance and confirms that candidates possess the specialized knowledge needed for advanced nuclear engineering instruction and research.

 

 

Preferred Qualifications

  • PhD in Nuclear Engineering with research background in fusion
  • Demonstrated ability to build and sustain a strong externally funded research program in fusion-related areas
  • Established or emerging collaboration ties with national laboratories
  • Evidence of high-quality teaching, mentoring, or academic service
  • Radiation Protection: Background in storage, disposal, reprocessing, and the full fuel cycle 

 

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Notice to Applicants: This application process utilizes an artificial intelligence (AI) system to review your qualifications and resume. The system is known as iCIMS Talent Cloud AI, and the system is audited each year to evaluate its impact, governance, risk assessment, and detect any inherent bias or disparate impact in its use. The latest bias audit results can be found here: 2024 Bias Audit Results. The system features Candidate Ranking which uses AI technology to help match candidate skills and experiences to those listed in a job description and surfaces the highest-matching candidates. This system may be used to assist us in making employment decisions and may be a factor in the hiring process. You may elect to opt out the AI system and seek human only review. You can find more information about the AI system here .