General Openings (Position Filled for Spring and Fall 2023)
Our research group is looking for new talents to join the team.
In addition to the general information below, students with the following backgrounds/experiences are encouraged to apply:
- Finite element modeling (ANSYS, ABAQUS);
- Fluid structure interactions (wind engineering, computational fluid dynamics, ocean engineering);
- Uncertainty quantification, risk assessment, structural reliability.
Please directly send your email with your CV to Dr. Zhang.
General Information for Openings
Our research group keeps looking for talented and self-motivated graduate research assistants to join in pursuing their Ph.D. and M.S. degrees within the Department of Civil and Environmental Engineering at University of Connecticut. Undergraduate research assistants are also welcome to participate our research activities.
Students with the following backgrounds or experiences are encouraged to apply:
- Background: structural, mechanical engineering, or engineering mechanics background; or environmental, system engineering background;
- Solid mechanics, finite element modeling, fatigue and fracture;
- Structural reliability, Statistical learning, Uncertainty quantification.
- System network, system reliability, Uncertainty quantification;
- Image processing.
The following areas of concentration are provided in our group:
1) Structural Engineering (MS, Ph.D.);
2) Applied Mechanics (Ph.D.);
3) Environmental Engineering (MS, Ph.D.).;
The research topic in Dr. Zhang’s lab is interdisciplinary by nature, spanning over structural dynamics, fluid mechanics, finite element analysis, solid mechanics, and structural reliability. The students will be guided to identify a research topic most suitable to the student’s academic interests and background.
Research background related to the following areas are preferred:
1) Structural dynamics, random vibrations, structural reliability;
2) Wind and Coastal engineering;
3) Fatigue and fracture of materials and structures;
4) System optimization, system network, decision making.
Experiences with programming in Python, Java, C/C++, Fortran or Matlab and FEA software such as ANSYS or Abaqus are preferred.
For interested and qualified students, please send your CV directly to Dr. Zhang at this Email.
General Admission Information
Course Work and Benefit Information
Students in our Ph.D. program are expected to complete 18 credits of graduate course work beyond their master’s degree or 39 credits of graduate course work beyond the baccalaureate. It typically requires 3-4 years beyond the master degree to complete these requirements. Candidates will have obtained overall GPA of 3.5 or higher for admission to our Ph.D. program. The detailed information could be found here.
The stipend for the students in the graduate programs starts over $22K for 9 months. In addition, they also receive a tuition waiver and health benefits.