About the position
Posting Details
Posting Summary
Job Title
Assistant Professor - Department of Industrial, Mechatronics &
Systems Engineering
Division
Divison of Academic Affairs
Department
School of Engineering
Work Status
Full Time
Position Category
Faculty
Faculty Rank
Assistant Professor
FLSA
Exempt
Pay Range
Exempt
Salary Range
$75,000 - $90,000 / year
Fund Source
State Support
Job Summary
Morgan State University is Maryland’s preeminent public urban
research university and a designated National Treasure, charting
the futures of its residents through educational and research
opportunities. Located in the heart of Baltimore, the university
serves as an educational and economic engine for local, national,
and international communities. Econsult Solutions reports that
Morgan State University generated $1.5 billion for the state
economy and $891 million for Baltimore in 2024. With a deep
commitment to expanding opportunity for groups underrepresented in
engineering, the Clarence M. Mitchell Jr. School of Engineering
contributes through innovative programs and excellence in teaching,
research, and service.
The Department of Industrial, Mechatronics and Systems Engineering
( IMSE ) was formed through the reorganization of the Department of
Industrial and Systems Engineering with the Mechatronics
Engineering program. The department offers a Bachelor of Science in
Industrial Engineering, a Bachelor of Science in Mechatronics
Engineering, a Master of Engineering, and a Doctor of Philosophy in
Industrial Engineering. The Industrial Engineering is accredited by
the Engineering Accreditation Commission of ABET ( EAC - ABET ),
and is the only program of its kind in the State of Maryland. The
Mechatronics Engineering program is the only program of its kind
offered at an HBCU in the State of Maryland. The Mechatronics
program will be seeking initial EAC - ABET accreditation during the
upcoming 2027 review cycle.
IMSE invites applications and nominations for a tenure-track
faculty position in statistical quality engineering and smart
manufacturing systems. The department seeks colleagues who can
contribute across both of its undergraduate programs.
The successful candidate will be expected to strengthen the
department’s research enterprise by developing a sustainable,
externally funded research program at the intersection of
statistical quality engineering, advanced and smart manufacturing,
industrial analytics, and intelligent production systems, while
contributing to teaching and curricular development across
Industrial Engineering and Mechatronics Engineering.
Job Duties
- Develop competitive research proposals and pursue external
funding from federal agencies, industry, and other sponsors in
statistical quality engineering, smart and advanced manufacturing,
industrial artificial intelligence and data analytics, quality and
reliability engineering, and intelligent production systems.
- Conduct and publish high-quality, peer-reviewed research that
advances the department’s research priorities and visibility.
- Recruit, advise, and mentor undergraduate and graduate
researchers and contribute to the growth of doctoral research
activity.
- Develop and expand research laboratories, experimental
testbeds, and data-driven manufacturing capabilities to support
sponsored research, hands-on teaching, laboratory instruction, and
course development.
- Teach undergraduate and graduate courses across Industrial
Engineering and Mechatronics Engineering, including design of
experiments, quality engineering, reliability and risk analysis,
systems methods, smart manufacturing, data analytics, and advanced
manufacturing technologies.
- Contribute to the development and modernization of curricula,
courses, and laboratory experiences across both programs.
- Provide academic advising to undergraduate and graduate
students.
Knowledge, Skills, Abilities & Other
Characteristics
Knowledge
- Knowledge of design of experiments, statistical quality
control, and quality engineering methods.
- Knowledge of deterministic optimization, operations research,
and Lean Six Sigma principles as applied to manufacturing and
production systems.
- Knowledge of digital manufacturing, smart factory systems,
industrial instrumentation, and cyber-physical production
systems.
- Knowledge of research design, statistical analysis, and
computational methods relevant to manufacturing systems.
Skills
- Skill in applying statistical, optimization, and quality
improvement methods to analyze and improve manufacturing
processes.
- Skill in analyzing experimental and operational data to
evaluate process performance, quality, and reliability.
- Skill in preparing research proposals, scholarly publications,
and technical presentations.
- Strong instructional, interpersonal, organizational, written,
and oral communication skills.
Abilities
- Ability to integrate statistical, optimization, and quality
methods with physical manufacturing systems.
- Ability to develop an independent research program and pursue
external funding from federal agencies, industry, and other
sponsors.
- Ability to develop and teach undergraduate and graduate courses
and laboratory experiences in Industrial Engineering and
Mechatronics Engineering.
- Ability to establish and expand research laboratories,
experimental testbeds, and manufacturing data capabilities that
support research and hands-on instruction.
- Ability to advise and mentor undergraduate and graduate
students and supervise student research.
- Ability to collaborate across disciplines and with external
partners to advance research, teaching, and curricular
development.
Other Characteristics
- Commitment to student success and expanding opportunities for
students from groups underrepresented in engineering.
Required Minimum Qualifications
An earned doctorate, held at the time of appointment, in Industrial
Engineering, Operations Research, Manufacturing Engineering,
Mechatronics Engineering, Mechanical Engineering, or a closely
related field.
Other Preferences for Consideration
- Experience in curriculum development, including developing or
updating engineering courses and laboratory learning
experiences.
- Experience developing or enhancing instructional or research
laboratories.
- Relevant professional certifications or licenses, such as Six
Sigma Black Belt certification or credentials from the American
Society for Quality ( ASQ ).
Posting Detail Information
Posting Number
FA00442
Number of Vacancies
1
Job Open Date
11/04/2026
Best Consideration Date
02/02/2027
Job Close Date
04/01/2027
Special Instructions to Applicant
Please enter three professional references in the Reference page of
the application.
Supplemental Questions
Required fields are indicated with an asterisk (*).
- * Are you a current, past, or retired Morgan State University
employee? Are you a current, past, or retired State employee? If
YES to current, past, or retired STATE employee, please state the
agency. If not applicable, put N/A.
(Open Ended Question)
- * How did you hear about this employment opportunity?
- Diversity In Higher Education
- Inside Higher Ed
- Agency Referral
- Advertisement/Publication
- Personal Referral
- Website
- MSU Careers Website
- Higher Education Recruitment Consortium (HERC)
- Insight to Diversity
- * Will you have earned a Doctorate in Industrial Engineering,
Operations Research, Manufacturing Engineering, Mechatronics
Engineering, Mechanical Engineering, or a closely related field by
the time of appointment?
- Yes
- No
- * Briefly describe how your research aligns with statistical
quality engineering and smart manufacturing systems, including your
experience or plans for pursuing external funding.
(Open Ended Question)
- * Briefly describe your experience or preparation to teach and
mentor undergraduate and graduate students in Industrial
Engineering or Mechatronics Engineering. Include any curriculum or
laboratory development experience.
(Open Ended Question)
Applicant Documents
Required Documents
- Cover Letter
- Curriculum Vitae
- Statement of Teaching Philosophy
- Statement of Interest
- Research Philosophy
- Reference Letter
Optional Documents
This listing was collected from a public source and is reproduced here for
information only. Always confirm the details on the original posting before applying.
View the original posting