Projects
Medical Artificial Intelligence Applications for Radiation Oncology
University of Rochester
Project
Posted 48 days ago
10 hours/week
Remote, Hybrid
Class of 2025, 2024, 2023
Decision by 03/29/2024
Engineering/ Math/ Computer Science, Natural and Biomedical Sciences
Biomedical Engineering, Computer Science, Data Science, Physics
Are you an undergraduate student passionate about revolutionizing healthcare through technology? Join our cutting-edge research team in Department of Radiation Oncology at URMC, where we are pioneering the integration of Artificial Intelligence (AI) in the field of Radiation Oncology. Selected students will work alongside leading experts in the fields of AI, medical physics, and oncology, and participate in groundbreaking research focusing on the development and application of AI algorithms in improving radiation therapy for cancer patients. Through the internship, you may gain valuable hands-on experience in data analysis, machine learning, and AI model development specifically tailored for medical applications, and in literature search and evaluation. You may enhance your skills in programming, data science, and interdisciplinary collaboration, and engage in research that could lead to publications in prestigious journals and presentations at international conferences.
Graduating Seniors - Full Time Paid Research Position in Neuroscience Lab
University of Rochester
Project
Posted 48 days ago
40 hours/week
In-Person
Class of 2023
Decision by 03/15/2024
Natural and Biomedical Sciences
Biological Sciences: Neuroscience
Full time paid research position for graduating senior as a research technician. The projects will include animal training, data analysis, maintaining laboratory inventory and assisting in neurophysiological recording experiments. Work is described on our laboratory website: https://www.urmc.rochester.edu/labs/romanski.aspx
Many projects on AURA are only visible to people at certain universities. Signup to get access to oppurtunities at your university
Research Groups
AURA Team
University of Rochester
Research Group
Computer Science
Engineering/ Math/ Computer Science
We're on a mission to get every undergraduate involved in research. AURA is a platform that makes research more accessible by providing an easy way to find and apply to on campus research opportunities. We strive to be accessible, convenient, simple and fast, so if you see something that doesn't live up to those values, please let us know by emailing hello@joinaura.us.
Yan Lab
University of Rochester
Research Group
Biological Sciences: Cell and Developmental Biology, Biology
Natural and Biomedical Sciences
Our research interests are in the field of cyclic nucleotide signaling and cardiovascular biology, with a particular focus on cyclic nucleotide phosphodiesterases (PDEs) that catalyze the hydrolysis of cyclic nucleotide second messengers (cAMP and cGMP). cAMP and cGMP regulate a wide variety of cardiac functions, from the short-term effects on myocyte contraction/ relaxation to long-term effects such as gene expression and structural remodeling. To identify the PDE isozymes altered in disease hearts, we have performed initial screening for PDEs that are altered in diseased hearts. The expression of a number of PDE isozymes is changed: some are up-regulated and some are down-regulated. The ongoing and future studies are aimed to determine the role and mechanism of these altered PDEs in cardiac remodeling and dysfunction through genetic and pharmacological approaches. To learn more about our research visit: https://www.urmc.rochester.edu/cardiovascular-research-institute/research/yan.aspx. We are seeking undergraduate students who are interested in cardiovascular biology and molecular biology. The student will have the opportunity to become fully involved with all the steps of research being completed in our laboratory, often working directly with Dr. Vivian Si Chen. The student can attend weekly group zoom meeting.
Active Perception Laboratory
University of Rochester
Research Group
Biological Sciences: Neuroscience, Biomedical Engineering, Brain and Cognitive Sciences, Computer Science, Data Science, Electrical and Computer Engineering, Engineering Science, Optics, Visual Science
Engineering/ Math/ Computer Science, Natural and Biomedical Sciences
A research assistant position is available in the Active Perception Laboratory (https://aplab.bcs.rochester.edu) in the Department Brain and Cognitive Sciences at the university of Rochester. Research in the lab focuses on understanding the interplay between eye movements and vision using a combination of behavioral, computational, high-resolution retinal imaging and evoked potentials (EEG) techniques (https://aplab.bcs.rochester.edu/facilities.html#). Responsibilities will depend on the applicant interests and background. They could include any of the following: experimental data collection with human subjects with eyetracking and/or EEG, implementation of experimental protocols, contribution to the development of novel eyetracking techniques (for candidates with an Optics and /or Engineering background), analysis of behavioral data, collection and analysis of high-resolution retinal images, alignment and calibration of optical devices for eyetracking and retinal imaging (for candidates with an Optics background). Quantitative skills and some computer programming skills are desirable. This position is ideal for someone interested in obtaining experience in vision and neuroscience research, and in improving quantitative and computational skills, with the goal of applying to graduate school.
Johnson Lab
University of Rochester
Research Group
Biological Sciences: Neuroscience
Natural and Biomedical Sciences
The primary focus of Dr. Gail Johnson’s research group is on the molecular mechanisms of neurodegeneration. The lab has a longstanding interest in the pathogenic processes in Alzheimer disease, and more recently in stroke and spinal cord injury (SCI). For their studies they use a wide variety of different approaches from in vitro enzyme assays with purified proteins, to studies in whole animals. This broad-based approach allows them to translate what they learn about a process or signaling pathway at the molecular level to the in vivo situation. Currently all the positions in my lab are filled. However, when positions become available I will post them on AURA.
En-Ability
Rochester Institute of Technology
Research Group
Human Computer Interaction
Engineering/ Math/ Computer Science
The En-Ability Lab is about enabiling, enhancing, and empowering people. Our research areas cover accessibility and HCI, more specifically we investigate topics on design, immersive technologies, and networking. Our lab’s mission is to foster a collaborative environment that values diversity—not only diversity in the topics we research, but also the diversity in our research team, and the communities our research is made to serve.
Porosoff Lab
University of Rochester
Research Group
Chemical Engineering
Engineering/ Math/ Computer Science
The Porosoff group focuses on developing new catalysts for upgrading C1 and C2 resources (CO2, CO, CH4, C2H6) for efficient energy storage and low-cost production of plastics, chemicals and fuels. Understanding the relationships between chemical reactivity and catalyst electronic/structure properties is extremely important for developing catalysts that exploit particular reaction pathways. This approach requires controlled synthesis of catalysts combined with in situ techniques and theoretical calculations. In particular, target areas of research are three types of catalytic reactions for improved shale gas utilization and lowering CO2 emissions: (I) Catalyst development for CO2 hydrogenation, (II) Selective synthesis of light olefins from CO and H2 and (III) Catalytic dehydrogenation of light alkanes to olefins by CO2. Experimental work combines a mix of catalyst synthesis and characterization, reactor studies and in situ spectroscopy.
VIStA (Visual Intelligence & Social Multimedia Analytics)
University of Rochester
Research Group
Computer Science
Engineering/ Math/ Computer Science, Social Sciences, Natural and Biomedical Sciences
[Computer Vision]: recognition of objects, scenes, people, locations, actions, and events from images and videos [Vision and Language]: description and explanation of visual content; language-based search, retrieval, and generation [Social media data mining]: prediction, nowcasting, forecasting, profiling, and recommendation using open-source data [Machine Learning]: learning with large-scale loosely labeled web data, cross-domain learning, few-shot learning [Health informatics]: healthcare and wellness analytics using text and visual data; surgical video analysis [Pervasive computing]: context-aware applications; multimodal inference from multiple sensors [Media experience]: multimodal reliving; aesthetics, emotion, sentiment, and influence of multimedia [Note]: Undergraduate students should seek research opportunities after having done well in the related courses (240/440 Data Mining and/or 249/449 Machine Vision).
URSeismo
Yale University
Research Group
Earth and Planetary Sciences
Engineering/ Math/ Computer Science, Natural and Biomedical Sciences
We uses recordings of ground vibrations from seismic sensors across the globe combined with high-performance computing to build high-resolution images of the sub-surface interior of the Earth.
Ultrasound Tomography Center
University of Rochester
Research Group
Applied Mathematics, Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Mathematics, Mechanical Engineering, Physics
Engineering/ Math/ Computer Science
We are a multidisciplinary group of scientists, engineers, and physicians working to bring a new ultrasound-based medical imaging platform to the clinic. Most conventional ultrasound systems only use reflected waves to create images of the tissue. This approach can be limited in its capability to quantitatively characterize tissue. Ultrasound tomography uses both the waves reflected by AND transmitted through tissue to fully characterize the material properties of the tissue. Specifically, we observe that these material properties distort the ultrasound wave as it passes through the tissue. These same distortions allow us to interrogate and recover the material properties within the tissue of interest. Our group integrates the latest advances in hardware development and algorithm design to translate these ideas to a clinically relevant imaging modality. We are looking for highly motivated students for both hardware development and algorithm design. Interested students should have a strong interest in some or all of the following categories: acoustics, numerical modeling, signal processing, inverse problems, waveform inversion, computational imaging, and/or imaging hardware design. We expect students to come with a background in MATLAB (or an equivalent language). C/C++ experience (especially CUDA) would be an additional bonus as we also plan to accelerate existing algorithms using GPUs.
MixingLab
University of Rochester
Research Group
Biological Sciences: Neuroscience, Biomedical Engineering, Mechanical Engineering, Physics
Engineering/ Math/ Computer Science
Fluid mixing is both beautiful and devilishly difficult to understand, predict, or control. Our research team, led by Prof. Douglas H. Kelley, studies how flows and the materials they carry change over space and time, primarily with application to cerebrospinal fluid flow in the brain and to liquid metals technologies. Brain cerebrospinal fluid flows through the recently-discovered glymphatic system, which evacuates metabolic wastes to prevent diseases like Alzheimer's, but can also malfunction in situations like stroke or traumatic brain injury. Fluid flow affects the performance of liquid metal batteries, a grid-scale storage technology, and the efficiency of aluminum manufacture, which uses 3% of worldwide electricity. Our research team studies these problems with a combination of experiments, simulations, and theory. Undergraduate researchers work in collaboration with each other and/or with PhD students and postdoctoral researchers, building skills and taking creative ownership of their own efforts. Undergraduate researchers on the team frequently coauthor peer-reviewed journal articles and present at international research conferences. Valuable skills for undergraduate applicants include -- but are not limited to -- coding, machining / fabrication, computer simulation / drawing, and writing. We value interpersonal diversity and encourage all to apply. Students need not be upperclassmen to apply. More information is available on the team website.
Rochester Center for Research on Families and Children
University of Rochester
Research Group
Psychology
Social Sciences
The Rochester Center for Research on Children and Families seeks to better understand children’s adaptation and maladaptation within the context of family relationships and processes. Informed by the developmental psychopathology emphasis on risk and resilience, our work is focused on elucidating the costs and benefits of children’s specific patterns of responding to family processes. The center currently houses several projects, including several large scale, multi-method, multi-level longitudinal research studies funded by the National Institutes of Health.
Le Lab
University of Rochester
Research Group
Psychology
Social Sciences
Psychology lab focused on the study of relationships and well-being.
Montane Forest Dynamics Group
West Virginia University
Research Group
Biological Sciences: Ecology and Evolutionary Biology, Biology
Engineering/ Math/ Computer Science, Social Sciences, Natural and Biomedical Sciences
We do research on past climate, humans, forests using the environmental information stored in tree rings. Our latest project is exploring how the unstable isotope 14C can help us understand past solar storms using the wood stored in ancient trees.
Photoacoustic and Ultrasonic Research & Engineering (PURE)Laboratory
University of Rochester
Research Group
Biomedical Engineering, Computer Science, Data Science, Electrical and Computer Engineering, Mechanical Engineering, Optical Engineering, Optics
Engineering/ Math/ Computer Science, Natural and Biomedical Sciences
The primary focus of the PURE lab at the University of Rochester is to develop novel, hybrid, and ultrasound-based diagnostic methods, and define the clinical utility of the developed technologies as it applies to detection, diagnosis, and therapy of various pathologies. Our ultimate goal is to help physicians and patients by providing more accurate and multi-parametric information about diseases that can help: to detect pathologies at their early stages of development to more accurately locate the diseased tissue to better plan for individualized therapy to monitor the outcome of the therapeutic procedures These developments will serve to improve the diagnosis and treatment guidance of high impact diseases, such as cancer. Almost every project in the lab utilizes ultrasound imaging. Ultrasound imaging (aka sonography) is the most-widely available medical imaging modality in clinical practice due to its notable advantages, including using non-ionizing energy, providing real-time information, portability, and low cost. However, it is limited to imaging tissue morphology and structure, without any functional, cellular, or molecular information. That is why our lab explores a newly born modality known as "Photoacoustic Imaging". Photoacoustic imaging utilizes lasers to complement ultrasound imaging, providing functional and molecular information to the morphological images obtained from ultrasound. Our research team works closely with the School of Medicine. This collaboration has helped us to better identify the real clinical needs and direct our efforts to overcome clinical limitations. We are closely working with several industry-leading imaging companies, such as Verasonics and Siemens, to implement our technologies on existing clinical devices. We believe this could be a key to enable faster clinical translation of the developed methods.
Active Perception Lab
University of Rochester
Research Group
Brain and Cognitive Sciences
Natural and Biomedical Sciences
Paid part-time lab manager position in the Active Perception Lab in the Department of Brain and Cognitive Sciences Typical Duties Managing petty cash: refill the small money bank every day. Once a year, report any taxable payments to the university. Purchasing lab equipment: monitor the purchase log, submit purchase requests to admin, keep track of orders, and physically carry all deliveries to the lab. Research subjects recruitment and advertising: post flyer ads on campus on a regular basis. Connect the prospective subjects to lab personnel. Onboarding: onboarding new lab members. Internal Review Board (IRB): ensure compliance with the IRB and Human Subject Protection Review Board using the ClickIRB platform system. Adding and removing people from the list approved by IRB. Modify IRB documents (study protocol, consent form, screening script) as necessary. Complete a Continuing review that is required every year. Eyetracker maintenance: assist in the execution of maintenance tests on lab experimental equipment. Website and social media: update lab website and twitter. Lab meeting scheduling: organize the lab calendar for weekly lab meetings. Qualifications Proficiency with Microsoft Word and Excel. Ability to log information on various platforms (Notion, ClickIRB, RedCap). Organized, responsible and proactive.
Paid part-time lab manager position in the Active Perception Lab in the Department of Brain and Cognitive Sciences
University of Rochester
Research Group
Brain and Cognitive Sciences
Natural and Biomedical Sciences
Typical Duties Managing petty cash: refill the small money bank every day. Once a year, report any taxable payments to the university. Purchasing lab equipment: monitor the purchase log, submit purchase requests to admin, keep track of orders, and physically carry all deliveries to the lab. Research subjects recruitment and advertising: post flyer ads on campus on a regular basis. Connect the prospective subjects to lab personnel. Onboarding: onboarding new lab members. Internal Review Board (IRB): ensure compliance with the IRB and Human Subject Protection Review Board using the ClickIRB platform system. Adding and removing people from the list approved by IRB. Modify IRB documents (study protocol, consent form, screening script) as necessary. Complete a Continuing review that is required every year. Eyetracker maintenance: assist in the execution of maintenance tests on lab experimental equipment. Website and social media: update lab website and twitter. Lab meeting scheduling: organize the lab calendar for weekly lab meetings. Qualifications Proficiency with Microsoft Word and Excel. Ability to log information on various platforms (Notion, ClickIRB, RedCap). Organized, responsible and proactive.
Laboratory For Laser Energetics (Spring and Summer 2024)
University of Rochester
Research Group
Applied Mathematics, Astronomy, Chemical Engineering, Chemistry, Computer Science, Earth and Planetary Sciences, Electrical and Computer Engineering, Engineering Science, Mathematics, Mechanical Engineering, Optical Engineering, Optics, Physics, Physics and Astronomy
Engineering/ Math/ Computer Science, Natural and Biomedical Sciences
The LLE Undergraduate Education Program enables students to engage in mission-critical science and engineering. The unique work opportunities the LLE has to offer are well suited to provide training, while helping to fill the critical future workforce needs of the National Nuclear Security Administration (NNSA) at all levels, including operators, technicians, engineers and scientists. Undergraduate students pursuing degree programs in related science and engineering fields are welcome to apply. Laboratory for Laser Energetics Internships: Workforce, Research, and Career-Building Opportunities Full-time, Part-Time, Co-Op, REU, and Summer Opportunities Deadline for Summer 2024 Applications: February 15th To Apply: Please send your resume to Laura Kappy, Undergraduate Education Program Director (lkap@lle.rochester.edu) or upload through AURA. Thank you!
Algorithmic Foundation of Data Science
University of Rochester
Research Group
Applied Mathematics, Computer Science, Data Science, Mathematics
Engineering/ Math/ Computer Science
Our group develops the algorithmic foundation of data science. We design, analyze, and implement provably efficient and reliable algorithms for solving a general class of problems in data science. The research scope broadly includes algorithms for optimization, sampling, and games. We aim to apply the algorithms to fascinating areas such as operations research, machine learning, and economics. ************************** ************************** We are looking for a senior student who will graduate in 2024 and seriously considers pursuing a PhD in Fall 2024. ************************** **************************
Computational Social Science
University of Rochester
Research Group
Data Science, Political Science
Engineering/ Math/ Computer Science, Social Sciences
I am looking for undergraduate and graduate students interested in working on various topics related to computational social science and data science. My current interests include emotion detection/quantification, analysis of visual content and videos, analysis of interactions between people/behavioral patterns, social media, political polarization, and developing methods for social sciences. If you are interested in working with me on a research project (e.g., as an independent study student or part-time researcher), please fill out the form in the following link: https://www.cantaycaliskan.net/research-assistance
Libby Lab
University of Rochester
Research Group
Biological Sciences: Cell and Developmental Biology, Biological Sciences: Neuroscience, Biology
Natural and Biomedical Sciences
The primary focus of Dr. Richard Libby’s research group is to understand the molecular mechanisms underlying glaucomatous neurodegeneration. Interests in the lab include investigating how neurons die and investigating how glial cells in the retina contribute to neuronal death. Genetic mouse models allow for questioning into how specific genes in different cell types play a role in neuronal death. Further, techniques such as immunohistochemistry, genotyping, and sectioning are used regularly as cellular outcome measures. All openings are currently filled. Undergraduates interested in joining for future semesters should email graduate student Sarah Yablonski (sarah_yablonski@urmc.rochester.edu). Preference will be given to candidates interested in a long-term research position.
Dye Global Health Lab
University of Rochester
Research Group
Anthropology, Environmental Health, Epidemiology, Gender, Sexuality, and Womens Studies, Health, Behavior, and Society, Human Computer Interaction, International Relations, Latin-American Studies, Medical Anthropology
Social Sciences, Natural and Biomedical Sciences
We prioritize creative engagement with underrepresented and marginalized communities around the world to address health priorities, often through technology and human-centered design. We view humans in their ecological context, understanding that social, biological, environmental, and other factors interact to impact health and illness, and that structural barriers often preclude ethical engagement of indigenous, marginalized, and underrepresented peoples in the scientific enterprise. Our lab values deep inclusion, respect, and liberation among its members and partners; we strive to prioritize the voices of underrepresented and intersectional identities in our work. The work of our lab reflects the integration of qualitative, quantitative, community, and laboratory approaches to science. We are pragmatic, applied, and focused on action. -Global Health, with a special emphasis on Latin America and the Caribbean, Asia and the Pacific, and Global Deaf Health -Perinatal Health, with a special emphasis on social determinants of medical risk in pregnancy and childhood -Technology, in the creation and maintenance of communities of learning, in communication, and to stimulate action Our work crosses boundaries and is transdisciplinary.
Brisson Lab
University of Rochester
Research Group
Biological Sciences: Cell and Developmental Biology, Biological Sciences: Ecology and Evolutionary Biology, Biological Sciences: Molecular Genetics, Biology
Natural and Biomedical Sciences
AS OF FALL 2023, THE LAB IS *NOT* CURRENTLY ACCEPTING UNDERGRADUATE RESEARCHERS. Research in the laboratory investigates the evolution and development of morphology. We’re particularly interested in the interplay of nature and nurture in affecting final adult morphology. We use a variety of approaches including genetics, genomics, and developmental biology. Our study system is the pea aphid. Aphids are remarkable insects, able to produce a variety of morphologies across their complex life cycles that alternate between asexual and sexual development. During the asexual phase, females are often wingless and specialize in the mass production of genetically identical wingless daughters. However, if their host plant becomes too crowded, those same females can switch to producing daughter that have wings as adults so that those daughters can fly away and find better food sources. Thus, winged and wingless females of pea aphids are genetically identical yet morphologically very different. How these alternative morphologies are produced is one of the main questions we address in the lab. During their sexual phase in the fall, pea aphids produce winged and wingless males as well. However, unlike the females the males are not genetically identical and their morphology is not determined by environmental circumstances. Rather, adult male morphology appears to be under the control of a single locus on the X chromosome called aphicarus. Ongoing projects in the lab include: 1. Understanding the male wing dimorphism system. Males are winged and wingless in some species, but monomorphic in others. How has this trait evolved across aphid species? What is the genetic basis of wing dimorphism and is that mechanism the same or different across species? 2. Discovering the molecular mechanisms underlying developmental plasticity in pea aphid asexual females. How does a pea aphid mother sense her environment and pass that information on to her developing embryos? How does the developmental timing of environmental sensitivity differ among aphid species? 3. Investigating genetic variation for the female polyphenism. We’ve observed that aphid lines respond to high density environments differently. How extensive is this variation in nature? What genes underlie this plasticity variation?
University of Rochester Le Lab
University of Rochester
Research Group
Psychology
Social Sciences
Research in our lab is focused on the study of relationships and well-being. We examine how the different ways in which people care and connect with each other impacts personal and relationship well-being. Research assistants' tasks may include the following: behavioral coding of videos, running lab session with participants, and assisting in study construction.
Romanski Lab
University of Rochester
Research Group
Biological Sciences: Neuroscience
Natural and Biomedical Sciences
The Romanski Lab is a neuroscience research lab investigating the brain circuits and neuronal mechanisms that underlie social communication. In particular we are studying how single neurons in the prefrontal cortex bring together face and vocal information when we communicate. This involves neuronal recordings in animal subjects while they look at movies of other animals vocalizing. We are also investigating the anatomy of the prefrontal cortex and determining what brain regions our face-processing neurons receive their information from. We have positions for undergraduate students to assist in these projects. The work will include anatomical circuit tracing on a digitized microscope system, data analysis using excel, MATLAB, and other programs for our neuronal recordings and training of animals in memory tasks. It is possible to sample some time in all three projects if interested. This can be done as a 1 credit research course or as volunteer work. There is the possibility of a full time paid research position after graduation in June 2024.
ADK Climate Project
University of Rochester
Research Group
Dance, Studio Arts, Sustainability
Humanities/ Performance
The ADK Climate Project connects climate change to personal narrative unsing a mobile recording studio that travels through the Adirondack Park. These captured climate narratives are subsequently provided to artists who create artworks in response. The aim is to promote climate action by highlighting our humanity, sharing and reflecting on the local consequences of climate change, as opposed to relying exclusively on scientific data. Because half of the Adirondack Park belongs to all the people of New York State and is constitutionally protected to remain a “forever wild” forest preserve and the remaining half of the park is private land, The Adirondack Park is an ideal location to deconstruct environmental conflict and explore how park residents and visitors are encountering climate change. ADK Climate Project: Audio and Visual Archive The expectation for research students is that you collaborate with faculty mentors and the digital scholarship lab to catalogue and construct an archive of collected stories and art collected as part of the ADK Climate Stories Project. This research is for credit. This project can be done remotely. Questions? Contact: stephanie.ashenfelder@rochester.edu for more information. Weekly meetings with the DSL and faculty members will take place during the semester.
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