Assistant Professor - Department of Industrial, Mechatronics & Systems Engineering

Role 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

• 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).