Assistant​/Associate​/Full Professor of Mechanical Engineering

Assistant/Associate/Full Professor of Mechanical Engineering Rutgers The State University United States Position Information

Recruitment/Posting

Title:

Tenure-Track/tenured faculty positions at all ranks (Assistant, Associate, and Full Professor) Energy Systems

Department: Mechanical & Aerospace Eng

Salary Details: 110,000

Offer Information: The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

Benefits: Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:

• Medical, prescription drug, and dental coverage
• Paid vacation, holidays, and various leave programs
• Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
• Employee and dependent educational benefits

Rutgers University–New Brunswick’s School of Engineering invites applications for multiple faculty positions across all ranks and areas of expertise. The School of Engineering includes seven academic departments and 10 engineering majors, offering exceptional opportunities for interdisciplinary collaboration and innovation. We seek outstanding scholars whose work advances one or more of our strategic priority areas:
Physical and Virtual Infrastructure, Healthcare Technology, Innovations in Energy, Defense and National Security, Experiential Learning and Professional Education.

Appointments may be made in one or more engineering departments based on the candidate’s expertise and interests. While most positions are expected to be at the assistant professor level (tenure‑track and teaching), consideration will also be given to more senior‑level appointments, and all qualified candidates are encouraged to apply.

The Department of Mechanical and Aerospace Engineering (MAE) at Rutgers is a leading engineering program with state‑of‑the‑art laboratories and close relations with local industry. The department has more than 40 full‑time faculty with more than 1,100 undergraduate students in Mechanical Engineering, Aerospace Engineering, and Packaging Engineering and more than 200 graduate students. The department is home to the New Jersey Advanced Manufacturing Initiative that engages with industry on AI, advanced manufacturing, and workforce development.

Other centers of research excellence include the Center for Advanced Energy Systems and the Emil Buehler Aerospace Lab. More information is available gers.edu and soe.rutgers.edu.

Preferred applications include wind, solar, nuclear, renewable and sustainable power supply. Candidates with relevant expertise in renewable energy, wind turbines, solar power, computational and structural mechanics, artificial intelligence and cybersecurity, machine learning, data‑driven optimization, complex systems modeling, and applications are especially encouraged to apply. Synergies with strengths in Energy, and Controls, will be viewed positively. Successful candidates will be expected to teach graduate and undergraduate courses in Mechanical and Aerospace Engineering;

develop a nationally recognized and externally funded scholarly research program.

Minimum

Education and Experience:

Qualifications include a Ph.D. in Mechanical Engineering, Aerospace Engineering, or a closely related field, completed by the time of appointment and demonstrated excellence in research, potential for or record of external funding, and a strong commitment to teaching and student success.

Preferred Qualifications: Candidates with relevant expertise in renewable energy, wind turbines, solar power, computational and structural mechanics, artificial intelligence and cybersecurity, machine learning, data‑driven optimization, complex systems modeling, and applications…