The University of Rochester seismological laboratory (URSeismo) is seeking applications from motivated PhD students to work on research opportunities in lithospheric structure and seismology. Research projects include NSF funded proposals. We use large amounts of ground vibration waveform data for earth imaging, time series waveform and spectral analysis, Bayesian inversion, etc. More details about this (and other) research projects can be found on:
In our group, we use seismological techniques to extract information about Earth’s internal physical properties (velocity structure, rheology, and composition). All these, believe it or not, can be decoded from basic recordings of ground vibrations delivered from seismometers scattered across the globe (red dots on right) that have been listening to our Earth shaking. This is the primary challenge of the seismologist – to recover as much useful information from these ground vibrations. Here are some of the thematic questions members of our group are exploring:
A great introduction to solid Earth geophysics can be gained by studying nature's fury. Interested students will learn about natural hazards, exciting geoscience research disciplines, and important concepts in plate tectonics. I will teach general introduction earth science courses as well as upper-level (under-) graduate courses starting in the Spring of 2019 (e.g., Seismology, Data Analysis and Modeling in the Earth Sciences, etc.). Watch here for current listings:
A modern, high-tech computing lab with teleconference capabilities, and spaces for research, tinkering, and software development. New multi-core, dual-display iMacs. Raspberry seismometers for detecting ground vibration. Advanced high-performance computing with GPU nodes at the center for integrated research computing (CIRC). Dedicated URSeismo partitions: 14 Nodes at BlueHive, CIRC (~300 Cores). Access to vista CIRC programming school. Over 200 TB of dedicated archival storage in RAID-6 for Monte-Carlo simulations.
Drs. Olugboji (PI) & Baowei Liu (Comp. Scientist) win NSF ACCESS award to construct new maps of Africa’s subsurface using high-performance computing and machine learning. New constraints will help understand Africa’s lithospheric structure, seismicity, tectonics, and interior dynamics.
Our latest research paper, titled “A Short-Period Surface-Wave Dispersion Dataset for Model Assessment of Africa’s Crust: ADAMA”, co-authored by Dr. Tolulope Olugboji and Siyu Xue, an undergraduate research assistant, has just been published in Seismological Research Letters. doi: 10.1785/0220210355
Dr. Tolulope Olugboji gave a virtual talk at McGill University on Oct 22, 2021, titled “The Structure of Oceanic Plates using Machine Learning on Seafloor Vibrations Event”. In this talk, Dr. O described a technique for silencing the singing of
Big congratulations to our new Ph.D. student Jean-Joel who just won the data set grant from UR library to help with studying seismically in Western Africa. Stay tuned for his scientific progress and publications!
Big congrats to co-author Yingping Lu (research master’s in data science, class of 2020) on our paper on seismicity in Western Africa. We explore a wide array of geophysical datasets collaborating with experts in structural geology, aeromagnetics (Dr. Kolawole &
Evan’s first paper has been accepted for publication by JGR, Solid Earth. His paper addresses a fundamental question in submarine seismic imaging using high-frequency body waves. He has figured out how to silence the singing of sediments that make the
A big congratulations to our students: Siyu and Evan who just received news that they have both been selected to receive the Seismology Society of America’s (SSA) student travel award. Evan has also been awarded the graduate student association’s travel
Ph.D. student, Evan Zhang, caps a successful year by submitting his first manuscript to JGR solid Earth. See the preprint here: https://doi.org/10.1002/essoar.10505500.1 Excited for 2020. Last year was great. Looking forward to the new year. Some highlights below: 1) @EvanZHANG4