Rensselaer Polytechnic Institute – PhD in Aerospace or Mechanical Engineering

• The cross-application of computational hydrodynamics (CFD) and data-driven modelling studies how to optimize and predict the behaviour of complex physical systems through scientific machine learning and generating artificial intelligence (Generative AI).
• Dynamic systems theory and machine learning to develop new modelling methods and control algorithms to accelerate the optimization of scientific computing and engineering systems.
• Modelling and control of complex systems, in particular how to apply a data-driven approach to deal with and analyse large-scale dynamic systems in areas such as aviation, energy and engineering.
• Machine learning is combined with hydrodynamics, smart optimization algorithms and the depth of control of the polyphysical system, exploring the applications of automation and intelligent systems in the industrial and scientific fields.

Mechanical engineering, aerospace engineering, electronic engineering, engineering mechanics, computing fluids, applied mathematics, computer science, control engineering, energy and power engineering

• Academic background: master's degree in mechanical or electronic engineering and enthusiasm for scientific machine learning, computational modelling, and advanced artificial intelligence of physical systems
• Performance requirements: GPA 3.7
• Language requirements: TOEFL: 88; or IELTS: 6.5; Exempted national B.A./Master degree in English
• Recommendation: Provide 2 an academic recommendation

Preferred qualifications

Candidates with research experience are more favoured.

• Personal statements;
• Curricula vitae (including detailed information on the history of education, employment and internships, as well as any relevant research experience);
• 2An academic letter of recommendation;
• Previous reports and diplomas;
• GRE/GMAT Performance Report (not required);
• Financial records (3 months, with a clear indication of the name of the account holder and the amount of funds available in United States dollars);
• Copy of passport identity information page.

Deadline for applying for admission in spring:8Month15Deadline for application for school day fall:12Month15Day

Up to 11 months for applicants to submit their English curriculum vitae and related materials, we will conduct an initial assessment 12 months through which potential mentors will be invited to interview 1 months 15 days, and will be required to formally present applications 2-3 months through a web-based web site for shortlisted candidates to be interviewed by the College Admission Board for 4 months for admission notices: above is the time point of the fall admission process.

The project is a full-time Ph.D. project and is taught in 4-5 years (48-60 months). Only 1 recruits.