AssistantAssociate Professor of Mechanical Engineering
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Job Location:
Rio Grande - Brazil
Monthly Salary:
Not Disclosed
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
Minimum Qualifications
Applicants must have an earned Ph.D. in Mechanical Engineering or a related field from an accredited university (at least conferred before the start date of September 1 2024) . Prospective candidates in all mechanical engineering areas are strongly encouraged to apply.
Preferred Qualifications
Priority will be accorded to applicants possessing expertise in Artificial Intelligence and/or Machine Learning as applied to the field of mechanical engineering. For this position prior postdoctoral research experience is preferred. Strong communication skills and the capacity to collaborate effectively within a team are also highly desirable. Additional preferred qualification include: 1) experience and/or demonstrated ability developing and teaching courses integrating machine learning artificial intelligence data science and/or intelligent engineering systems within the context of mechanical engineering applications 2) experience and/or demonstrated ability to lead and propose new research projects and proposals to attract external federal state or private funding such as NSF DoD DOE DARPA NIH USDOT NASA or others 3) experience and/or demonstrated ability teaching courses in dynamic systems modeling of physical systems and control systems (4) experience and/or demonstrated ability working with undergraduate and graduate engineering students and (5) demonstrated ability to play a collaborative role as a team member in initiatives for partnerships with schools community colleges government agencies and industry to create an eco-system that will bring economic prosperity to the Rio Grande Valley.
Applicants must have an earned Ph.D. in Mechanical Engineering or a related field from an accredited university (at least conferred before the start date of September 1 2024) . Prospective candidates in all mechanical engineering areas are strongly encouraged to apply.
Preferred Qualifications
Priority will be accorded to applicants possessing expertise in Artificial Intelligence and/or Machine Learning as applied to the field of mechanical engineering. For this position prior postdoctoral research experience is preferred. Strong communication skills and the capacity to collaborate effectively within a team are also highly desirable. Additional preferred qualification include: 1) experience and/or demonstrated ability developing and teaching courses integrating machine learning artificial intelligence data science and/or intelligent engineering systems within the context of mechanical engineering applications 2) experience and/or demonstrated ability to lead and propose new research projects and proposals to attract external federal state or private funding such as NSF DoD DOE DARPA NIH USDOT NASA or others 3) experience and/or demonstrated ability teaching courses in dynamic systems modeling of physical systems and control systems (4) experience and/or demonstrated ability working with undergraduate and graduate engineering students and (5) demonstrated ability to play a collaborative role as a team member in initiatives for partnerships with schools community colleges government agencies and industry to create an eco-system that will bring economic prosperity to the Rio Grande Valley.
Required Experience:
IC
Key Skills
- AI
- Genetics
- Clinical Trials
- Pharmacy Residency
- Research Experience
- Teaching
- Higher Education Teaching
- Curriculum Development
- Grant Writing
- Program Development
- Mentoring
- Research Laboratory Experience
About Company
Popular programs UTRGV TUITION ADVANTAGE This program covers the cost of tuition and mandatory fees for students with a family-adjusted gross income of $125,000 or less.
