Faculty Research Assistance Program (FRAP) Directory

The FRAP Directory allows students to identify UCSB faculty who are looking for undergraduate students to participate in their research projects or creative activities. Please use the links below to find opportunities by discipline. Students, if your desired discipline is not listed, please contact the Undergraduate Research Initiatives office at 805-893-3090 or urca@ltsc.ucsb.edu for assistance. Faculty, if you would like to post your research or creative activity opportunity, please complete the online submission form.

Mechanical Engineering

Paul Atzberger

Location:
South Hall 6712
893-3239

Research Project

Mathematical modeling and computational simulation of problems arising in fluid mechanics, soft materials, and biophysics. See the research website for more details at http://www.atzberger.org/

Undergraduate Contribution

Mathematical modeling and computational simulation work in collaboration with research members. Development of models, implementation of numerical methods, and performance of simulation studies. Present results in workshops and group meetings.

Requirements

Some experience with programming would be helpful, but not strictly required. Overall, a strong motivation and enthusiasm to use mathematical approaches to tackle problems arising in the sciences and engineering.

Fredric Gibou

Location:
Engineering II Bld
805 893 7152

Research Project

The focus of our lab is the design and applications of novel computational methods. Applications range from the study of fluid flows to the simulation of solidification processes to the study of bioengineering topics.

Undergraduate Contribution

Typical undergraduate contributions range from the design and implementation of computational methods to the application of such methods to physical and biological phenomena.

Requirements

Good programing skills is viewed positively. Motivation and good analytical skills.

Mathematics, Mechanical Engineering

Paul Atzberger

Location:
South Hall 6712
(805) 893-3239

Research Project

Applied mathematical research presents exciting opportunities to develop analytic and computational approaches to tackle interesting problems arising in the natural sciences, engineering, and information sciences (machine learning / data sciences). We work in an area called "stochastic analysis" which we use to develop novel models and computational methods for simulation of problems arising in fluid mechanics, soft materials, and biophysics. In related work, we also use mathematical approaches to develop novel ways to analyze data developing further techniques in machine learning and statistical inference. See our research website for more details on projects at http://www.atzberger.org/

Undergraduate Contribution

Mathematical modeling and computational simulation work in collaboration with research group members. This could include development of new models, implementations of numerical methods, performing simulation studies of physical systems, or development of machine learning methods for data analysis. Present results at workshops and group meetings. See our research website for more details: http://www.atzberger.org/

Requirements

Some experience with programming would be helpful, but not strictly required. Overall, a strong motivation and enthusiasm to use mathematical approaches to tackle exciting problems arising in the natural sciences, engineering, or information sciences.