Undergraduate research positions
Please come talk to us! Our group believes that undergraduates can make significant contributions to cutting-edge research. And there are many such projects! They involve
- developing new instruments and electronics to better detect fundamental particles
- modeling of physical processes in the detector through simulations
- data analysis
We welcome all students regardless of background and preparation. Doing research always involves learning what you need to while you tackle the project. We are happy to try and find a project suitable to your background and interests that will help you build up new skills.
Our group currently is focused on
- applying deep learning, specifically convolutional neural networks, to extract information about particle interactions from our data
- folding in theoretical insights and predictions for how neutrinos interact with nuclei into practical models that experimentalists can use to interpret both new and old data
- exploring new measurements that can be done at current and future experiments
- applying the latest techniques in high-performance computing to analyze our large datasets and make our physics models more complete/efficient
Projects can be for credit or through work-study. When funds allow, we also aim to hire a couple of undergraduates during the summer. However, paid summer positions are typically reserved for students who have done work over the semester. Exceptions can be made if a student can demonstrate a strong background relevant to the particular project. In the past, students have also used programs such as the Tufts Summer Scholars to fund their work.
Interested in working with our group? Please shoot an email or drop by the offices of Prof. Mann, Prof. Gallagher, or Prof. Wongjirad located on the fourth floor of 574 Boston Ave. (CLIC)! We are always happy to discuss potential projects — or just to talk physics.
Graduate Research Assistant
Currently, we are looking to recruit one graduate student to join our group. If interested, please contact Taritree for more information. The student will help construct the SBND liquid argon detector at Fermi National Lab and complete a small project for the future Deep Underground Neutrino Experiment, DUNE. There will also be a large component of investigating how to use the latest deep learning techniques to understand particle interactions in our detector. Though plans can (and often) change, the thesis will be completed either with data from SBND or from MicroBooNE. MicroBooNE has is already taken most of its data, while SBND will start to take data late 2019/early 2020. Topics include understanding neutrino-nucleus interactions and searches for beyond standard model signatures.
Unfortunately, we are not currently looking to fill such a position at this time.