Undergraduate and Graduate Student Opportunities
__________________________________
Earn extra money by working at Math Boot Camp!
Benefits of participating:
For more details about the program, please visit: www.fau.edu/mbc.
If interested, please complete the form by July 30!
August 2026 Math Boot Camp – Fill out form
For more information, Click here!
_____________________________________
International Undergraduate and Graduate Mathematics, Interdisciplinary Research, and Project Conference
📅 August 8–9, 2026 (Online)
This international conference provides undergraduate and graduate students with an opportunity to present research projects, thesis work, mathematical investigations, interdisciplinary research, engineering and science projects, and innovative ideas before an international audience in a friendly, supportive, and encouraging environment.
Conference Information
_____________________________________
The Department of Mathematical Sciences hosts a variety of seminars in which faculty, students and visitors present and discuss their recent work. These seminars meet in SE 215 unless otherwise stated.
Research seminars with topics including: Analysis (Complex, Harmonic, and Functional), Differential Equations, Dynamical Systems, Control Theory, Mathematical Biology, and Stochastic Models
Weekly research seminars with topics covering: commutative and non-commutative rings, groups, modules; categorical and combinatorial methods in algebra; representations of groups and of finite dimensional algebras; and applications, in particular to cryptography.
We discuss current topics related to cyber security, including technical as well as non-technical aspects. The seminars feature presentations of current topics within the interdisciplinary field of cyber security.
The Graduate student seminar is a series of short talks (30-60 minutes) which are given with the intended audience of FAU graduate and advanced undergraduate students.
The seminar will run on a biweekly basis and cover research topics from statistical and data sciences, probability, and their applications to various research disciplines.
