Physical Sciences

Research Assistant Opportunity in Reduced-Order Modeling of Fluid Dynamics

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Opportunity Description

Potential projects for undergraduate research will be based on mutual interest. Some topics include:
1. Data-assimilation in climate-motivated reduced order models using semi-analytical approach
2. Robust control of a reduced-order model of spatially developing flows
3. Fixed-flux convection analyzed by reduced-order models
4. Analysis and reduced-order model of flow over hydrophobic surfaces

The student’s responsibilities include problem formulation, programming, and data analysis.

Expected time commitment will be 9 hours per week with duration of at least one semester. The student may earn credit of independent study. Mentor will also encourage and support the application of summer research fellowship.

Student Qualifications
Students are required to be enrolled in an STEM major with a strong background in mathematics (especially calculus and linear algebra), physics, and computer programming (Python or MATLAB). Prior research experience, courses in fluid dynamics, and plan to pursue a Ph.D. program are desired but not required.

How to Apply
Interested students can apply this research opportunity by sending an email to Dr. Chang Liu via chang_liu@uconn.edu with a copy of CV and transcript. A paragraph describing why you are interested in this opportunity, what you plan to do, and the preferred research duration will be appreciated.

Mentor: Chang Liu, Assistant Professor
Department: Mechanical Engineering
Email: chang_liu@uconn.edu
Timing: Ongoing
Campus: Storrs

• Research Assistant in Transportation Engineering

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Opportunity Description

Dr. Monika Filipovska’s research group seeks research assistants for a few research projects focusing on advancements in transportation research, including intelligent transportation systems and IoT, mobility on demand, and modeling of autonomous vehicles. Depending on the student’s skills, they may work on tasks involving data cleaning and pre-processing, database management, use of GIS software for pre-analysis, running numerical experiments using programming software, or assistance with the use of driving simulation equipment and software.

Through this experience, students will learn about new advancements in the field of transportation engineering, including new mobility services and vehicle or infrastructure technologies. Students will have the opportunity strengthen their coding and data analysis skills, and learn new skills related to the use of traffic and driving simulation software. Students will be expected to participate in research meetings and work collaboratively with other undergraduate or graduate assistants. The students will have the opportunity to receive additional mentoring from graduate students, postdoctoral associates, and other research staff they may work with.

Depending on the progress and skills of specific students, and for how long they are available to work in the research group, students may have the opportunity to also contribute to data analysis and writing, and build their research, analytical and writing skills.

This is a paid opportunity, at the Class II assistant level ($13.15/hour to $14.35/hour) according to JobX classification.

Students may have the opportunity to continue working on related topics through independent study or directed research credits in the upcoming semesters if they are interested.

Student Qualifications
At minimum the applicants should have:
· Interest in research related to transportation systems
· Ability to follow direction
· Ability to work independently and as part of a team
· Strong quantitative skills

Applicants should have some combination of the following:
· Proficiency in Excel
· Data cleaning, organizing, pre-processing, and formatting skills
· Programming using Python, MATLAB and/or R
· Strong background in statistical analysis, math, or computer science
· SQL server and database management experience
· Working knowledge or experience with ArcGIS Pro

Please note that each applicant need only have some of these skills. This list would be the combined set of skills of multiple hired students.

How to Apply
This opportunity is advertised via JobX with the Job ID 12861. Please submit your applications there. Applications should include: a short resume, a description of any experience related to this job, a brief summary of any unique skills, qualifications or interests relevant to this job.
Please also share your availability (summer / semester and hours), and what you hope to gain from this experience.

Mentor: Monika Filipovska, Assistant Professor
Department: Civil and Environmental Engineering
Email: monika.filipovska@uconn.edu
Timing: Summer 2022, Ongoing
Campus: Storrs