Research Assistants (RAs) are needed for the “Roc Romantic Relationship Study.” RAs will be involved in a lab study in which romantic couples are brought to a lab on campus to engage in three meaningful conversations followed by reporting on their thoughts and feelings in an online survey. RAs will help administer these sessions, greeting couples to the lab and managing the 2-hour study session. RAs will also attend team trainings and meetings. Assist with a range of tasks including interfacing with participants, administering surveys, coding recordings of lab sessions, and basic data management. RAs will be expected to work 5-20 hours per week, and need to be flexible with working evenings and weekends.

The applicant will join an ongoing project consisting of setting up 3D tracking of marmoset monkeys based on labels obtained from a multi-camera set-up. DeepLabCut, a deep neural network based tool for markerless pose estimation, has been used to obtain labels in 2D. The applicant's role in the project will be to assist with implementing the next step where Anipose, which builds on DeepLabCut, will be used for 3D triangulation. The applicant will not be directly handling animals.

Gaming emulators, like xboxemu/xemu and yuzu, allow people to play games without having the original hardware. They do this by recreating the original hardware in software. Emulators are important for many reasons, one of which is to preserve old games. However, since emulators are recreated from scratch, they may differ from the original hardware in subtle ways. In this project, the student will study existing emulators and their fidelity to the original hardware using many techniques. This is an NSF REU and funding is only available for US citizens, US persons, or US permanent residents. [Edit 5/25: This position is now filled]

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.

Thank you for your interest in working in the Briggs lab at URMC! We are a vision research lab and detailed information about ongoing lab projects can be found at our lab webpage here: briggsneurolab.urmc.edu Positions begin in the summer or fall. Please note that positions for the 2023-24 academic year have already been filled. At this time, we are NOT accepting applications until March 2024. If you are interested in a position starting summer 2024 or Fall 2024, please apply in March 2024. Undergraduates working in the Briggs lab do not receive a salary. However, Dr. Briggs supports applications for course credit and/or paid internships (e.g., BCS summer internship, offered through the university).

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.

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.

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.

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.

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.

[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).

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.

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.

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.

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.

Psychology lab focused on the study of relationships and well-being.

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.

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.