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Job ID: 146695

Tenure-track, open rank, Machine Learning, Deep Learning in Mechanical Engineering
Florida International University

Date Posted Sep. 22, 2020
Title Tenure-track, open rank, Machine Learning, Deep Learning in Mechanical Engineering
University Florida International University
Miami, FL, United States
Department Department of Mechanical and Materials Engineering
Application Deadline Open until filled
Position Start Date Available immediately
  • Assistant Professor
    Associate Professor
  • Mechanical Engineering
    Computer Science

Tenure-track, open rank, Machine Learning, Deep Learning in Mechanical Engineering

Florida International University is Miami’s public research university, focused on student success. According to U.S. News and World Report, FIU has 42 top-50 rankings in the nation among public universities. FIU is a top U.S. research university (R1), with more than $200 million in annual expenditures. FIU ranks 15th in the nation among public universities for patent production, which drives innovation, and is one of the institutions that helps make Florida the top state for higher education. The Next Horizon fundraising campaign is furthering FIU’s commitment to providing students Worlds Ahead opportunities. Today, FIU has two campuses and multiple centers, and supports artistic and cultural engagement through its three museums: Patricia & Phillip Frost Art Museum, the Wolfsonian-FIU, and the Jewish Museum of Florida-FIU. FIU is a member of Conference USA, with more than 400 student-athletes participating in 18 sports. The university has awarded more than 330,000 degrees to many leaders in South Florida and beyond. For more information about FIU, visit

The Department of Mechanical and Materials Engineering (MME) in the College of Engineering and Computing (CEC) at Florida International University (FIU) invites applications for a full time tenure-track, open rank faculty position beginning Fall 2021 in the area of Machine Learning, Deep Learning or related Data-Driven high throughput techniques in Mechanical Engineering applications.

We seek a candidate within the specific area of machine learning and deep learning applied to multiple focused areas of mechanical and materials engineering such as advanced manufacturing, thermo-fluids, computational mechanics, robotics, structural health monitoring, and new materials development. The candidate must be able to complement the existing teaching resources at FIU with Machine Learning, Deep Learning, or related Data-Driven techniques.

Applicants must have a Ph.D. degree or equivalent in Mechanical Engineering or a related field of engineering with a focus on machine learning and data science, demonstrated a record of scholarly work commensurate with rank and commitment to teaching a diverse set of undergraduate and graduate students in the area Mechanical Engineering and Materials Engineering. Applicants are expected to demonstrate a commitment to excellence in teaching, mentorship, and service, with an emphasis on an externally funded research program of international reputation. The candidate is expected to collaborate with other faculty members in MME and other departments in the CEC and FIU. Currently, the MME department participates in large multi-university projects such as NSF ERC, DOE-MSIPP, and NASA-MIRO. Candidates should complement and enhance our existing departmental strengths in research and teaching.

Qualified candidates are encouraged to apply to Job Opening ID 522061 at and attach a cover letter, curriculum vitae, statement of research and teaching experience and interests, and contact information for three references as a single pdf file. References will be contacted as determined by the search committee. To receive full consideration, applications and required materials should be received by October 31, 2020. The review will continue until the position is filled.

FIU is a member of the State University System of Florida and an Equal Opportunity, Equal Access Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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