Liliana Pereira
Beneficiary of the Short-term Research Internships at the University of Texas at Austin 2023
| Role | Research Fellow |
| Affiliation Institution | CICECO – Aveiro Institute of Materials, University of Aveiro |
| Host Institution | Oden Institute for Computational Engineering and Sciences |
| Program Area | Space-Earth Interactions |
Short Bio
Liliana Pereira holds a master’s degree in chemical engineering from the University of Aveiro. During her experience as a research fellow at CICECO, she honed her expertise in modeling and simulation, with a particular emphasis on designing CO2 manufacturing processes. Driven by her passion for the future and her inspiration to apply her knowledge of chemical engineering to the realm of space-earth exploration and interaction, she applied to UT Austin to utilize her skills to conduct simulations using satellite observations. Her research endeavors will be dedicated to advancing our understanding of ocean dynamics and their far-reaching implications for the broader climate system, thereby promoting interdisciplinary collaboration within the scientific community.
Work description
Liliana Pereira’s research during her internship at UT Austin for the Fall semester 2023 will focus on the analysis of satellite data related to oceanic and climate variables. Her main objective is to enhance our comprehension of ocean dynamics and its intricate interplay with the broader climate system. Additionally, she will contribute to the SMART Cables project, which explores the integration of oceanographic sensors into subsea telecommunication cables, aligning with Portugal’s connectivity efforts. This research aims to optimize sensor deployment for effective ocean data assimilation, advancing our knowledge of oceanography and its practical applications.
Expectations about the Short-term Research Internship
My expectations for the internship involve learning how to work in a new cultural and environmental context. This experience will allow me not only to refine my problem-solving and data analysis skills but also to enhance my adaptability and autonomy, soft skills that help me be a valuable and effective team member in different settings.
The UT Austin Portugal Program takes it up a notch and...
The selected researchers will develop research across - cancer, satellite data, machine learning and energy-related topics.
Fostering knowledge exchange through mobility initiatives has always been...
Patrick Heimbach
Professor
Department of Earth and Planetary Sciences, University of Texas at Austin
Department of Earth and Planetary Sciences, University of Texas at Austin
