Tenure Track Assistant Professor - Mechanical and Industrial Engineering

UMass Lowell • Lowell, MA

19d

About The Position

The Francis College of Engineering at the University of Massachusetts Lowell invites applications for a full-time, tenure-track Assistant Professor in the Department of Mechanical and Industrial Engineering. The anticipated start date is September 2027. The department seeks candidates whose expertise in robotics, controls, automation, or related areas complements and enhances existing research; candidates working in machine learning alongside these areas are also encouraged to apply. The emphasis is on the originality and potential impact of the candidate’s work rather than a specific subfield.

The successful candidate is expected to establish an externally funded, internationally recognized research program; teach undergraduate and graduate courses; mentor students; and contribute through service and promotion of inclusive excellence. The department has more than 30 faculty members and over 1,000 undergraduate and graduate students, offers a range of engineering degrees, and encourages collaborative research through connections with industry, national laboratories, and interdisciplinary research centers.

This is a full-time, benefited position in the MTA/Mass. Society of Professors union. The anticipated hiring range is $115,000–$122,000; the union contract minimum is $75,000. Application review begins immediately and continues until the position is filled, and the position may close after an adequate number of qualified candidates have applied. Applicants must submit a CV, cover letter, research statement of no more than five pages, teaching statement of no more than two pages, up to three representative publications as a single file, and contact information for three professional references. Recommendation letters should not be submitted. Materials are submitted electronically through the UMass Lowell employment portal.

Requirements

• Ph.D. by the time of appointment in Mechanical Engineering, Industrial Engineering, Electrical/Computer Engineering, Computer Science/Engineering, Aerospace Engineering, Biomedical Engineering, or a closely related discipline.
• Evidence of potential for scholarly excellence and a sustainable, externally funded research agenda in robotics, controls, automation, machine learning, or related areas.
• Demonstrated commitment and potential for excellence in teaching and mentoring at undergraduate and graduate levels.
• Ability to work effectively with diverse groups of students, faculty, and staff.
• Excellent oral and written interpersonal and communication skills.

Nice To Haves

• Record of, or strong potential for, securing competitive external funding.
• Evidence of effective teaching or curriculum development.
• Interest in developing interdisciplinary collaborations across engineering, computing, and applied sciences.
• Experience working with diverse student populations and employing inclusive pedagogical approaches.
• Engagement in professional service.

Responsibilities

• Develop and maintain a high-quality, externally funded research program with national or international visibility.
• Teach undergraduate and graduate courses in robotics, controls, automation, computational thinking, or core mechanical and industrial engineering subjects.
• Mentor and advise undergraduate and graduate students, including Ph.D. students.
• Engage in departmental, college, and university service, and contribute to professional organizations.
• Collaborate across disciplines and engage with industry, government, or community partners when appropriate.
• Promote inclusive excellence.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree