About the Company:
Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab) is an interdisciplinary research group bridging the gap between theory and real-world. Interdependent networks require highly efficient computational algorithms to deal with large-scale optimization, learning, and ultimately decision making problems. Our goal is to leverage our solid mathematical background to develop novel algorithms tailored for various engineering applications. At solid lab we aim at solidifying critical infrastructures leveraging computing and information sciences, i.e., we are connecting Computer Science and Engineering worlds!
There is an open position for a Ph.D. student with a graduate assistantship at the solid lab (https://solid.cs.fiu.edu/), School of Computing and Information Sciences, Florida International University.
I am looking for a self-motivated candidate with a strong mathematical background (preferred areas: machine learning, linear algebra, convex optimization) and expertise in programming. Students should hold a BSc degree in Computer Science/Computer Engineering/Electrical and Computer Engineering at the time of application.
Please email your full CV (including current and previous education with GPAs, selected projects, list of publications, selected course work, and two references) and Transcripts to solidlab[at]cs[dot]fiu[dot]edu
The subject of your email:
FIU SCIS solid lab Ph.D. Applicant-S21/F21
Research areas include distributed machine learning and optimization, and their applications in data-driven network science.