Undergraduate research opportunities are available throughout the academic year at UW and its partner institutions (Fred Hutchinson Cancer Research Center, NOAA Northwest Fisheries Science Center, etc.). The URP database includes several hundred opportunities currently available to undergraduate students. It is a great way to begin searching for the research opportunity that’s right for you. Be sure to review URP guidelines for using the database, and come talk to a URP adviser for help identifying additional opportunities. The database can be found here.
Here are a few exciting opportunities currently available on the database:
Cell Signaling and Proteomics
Contact Name: Judit Villen
Department: Genome Sciences
Contact Email: firstname.lastname@example.org
Project Title: Cell Signaling and Proteomics
Project Description: We are a proteomics lab with interest in various aspects of signaling biology. We develop new methods and apply them to solve important questions in basic biology, disease, and aging. The lab is very interdisciplinary, with people form diverse backgrounds (chemistry, biochemistry, biology, and computer sciences). We are looking for 1 or 2 undergraduate students to join the lab and gain research experience. The students will work under the supervision of a graduate student or a postdoc, and work directly on a research project that we will develop together.
Minimum Requirements: Looking for a talented undergraduate student at the junior or senior levels, with background and interests in chemistry, biochemistry or molecular and cellular biology. The ideal student will be seeking research experience and have plans to go to graduate school. We expect the student to spend 10-20 hours/week in the lab to be able to make progress in a project, but we are flexible in times where students need more time to study for exams related to classes.
Material Decomposition for Dual-Energy and Spectral CT
Contact Name: Thomas Humphries
Department: School of STEM, Division of Engineering and Mathematics, UW Bothell
Contact Email: email@example.com
Project Title: Material Decomposition for Dual-Energy and Spectral CT
Project Description: Computed tomography (CT) is a medical imaging modality in which X-ray data acquired from around a patient is used to mathematically reconstruct a three-dimensional image of patient anatomy. The image is typically represented in terms of the attenuation coefficient as a function of position. In many applications it would be useful to decompose an image into basis materials (e.g. bone, soft tissue, contrast agent). Recent developments in CT technology such as dual-energy and spectral (photon counting) systems have made material decomposition more computationally and mathematically feasible. There are still many open questions about what are the best methods for achieving material decomposition. For example, material decomposition can be performed pre-reconstruction (in the data domain) or post-reconstruction (after reconstructing some intermediate images), and there are pros and cons to each approach. Various mathematical schemes have also been proposed but need to be validated.
Minimum Requirements: This project is suitable for junior or senior level students with a background in mathematics, computer science or engineering. Prospective students should: * Have experience and be comfortable programming in MATLAB or a similar language. * Have taken linear algebra; numerical analysis and scientific computing experience are assets. * Be able to commit to at least 10 hours a week (2 credits) for at least one quarter starting Winter 2017. (Two quarters preferred).
Phytoplankton community structure in the California Current
Contact Name: Sophie Clayton
Contact Email: firstname.lastname@example.org
Project Title: Phytoplankton community structure in the California Current
Project Description: This project aims to relate the phytoplankton community structure to the physical ocean dynamics in the California Current system. During a month-long cruise in the summer of 2014, we collected a large number of water samples in order to characterize the phytoplankton community. The role of the student in this project would be to analyze these water samples using an Influx flow cytometer, and then process the data. There would potentially be scope for the student to pursue independent research based on their analysis of the samples, under my supervision. This student would ideally work 8 hours/week, split into two half days. They would receive training in the operation of the Influx flow cytometer, as well as training in data analysis (including R and python).
Minimum Requirements: Ideally the student will already have completed the following classes: MATH 124, MATH 125 PHYS 121, OCEAN 285/286, OCEAN 295 CHEM 120, CHEM 142, CHEM 152 BIOL 180, BIOL 200