Research Opportunities Database
Search to find Penn State faculty members looking to fill open undergraduate researcher positions.
A form for faculty members interested in creating an account to post an opportunity can be found at Apply for an Account.
|Title||Number of opportunities||Posted||Last Updated|
|College of Engineering Research Initiative (CERI)||
During this 15-week program, Penn State undergraduate engineering students work during an academic semester conducting research with a faculty member based at University Park. Students dedicate 10 hours per week to their research project with a PSU faculty member and that faculty member's associated research group. Students also engage in monthly professional development sessions to compliment their personal and professional portfolios. Upon completion of the program, students submit a...
Mentor: Erin Hostetler
|70 per year||May 18, 2018||November 14, 2018|
|Combatting "superbugs" by reducing unnecessary antibiotic use||
Assist with data collection and analysis for studies of doctor-patient interaction and antibiotic stewardship interventions at University Health Service. 6-15 hours/week, credit or paid work both available.
Mentor: Erina MacGeorge
|6||August 16, 2018||October 29, 2018|
I mainly study massive star winds that are driven by radiation. However, it involves significant amount of numerical computation, visualization and analysis of data. However, I am seeking student involvements in a wide range of other topics that require numerical computations/computer modeling. For example, supernovae, accretion disks, solar winds, planetary magnetospheres (like Jupiter) etc. I have experience with a number of different astrophysical numerical codes such as Zeus-MP, FLASH,...
Mentor: Asif ud-Doula
|1-4||January 1, 2018||October 29, 2018|
|Computational biology for understanding gene regulation||
New experimental approaches based on DNA sequencing are allowing us to see where various gene regulatory processes are happening along the genome. However, these experiments produce vast amounts of data, and so turning them into an understanding of the regulatory circuitry controlling cells remains a huge challenge. The Mahony lab aims to meet this challenge by developing machine learning algorithms for detecting patterns in large regulatory genomics datasets. In particular, we focus on...
Mentor: Shaun Mahony
|2||January 1, 2018||October 29, 2018|
|Computational Tools for Real-Time Science||
We are bringing online a new behavioral science lab applying technological solutions to answer questions in the behavioral sciences. I'm interested in students with programming skills who are interested in building and applying tools for face- and gesture-tracking, computer-generated avatars, virtual reality, wearable technology (like Fitbits and Pebble watches) to try to understand the way people act in everyday life, and to intervene to help them be better.
Mentor: Timothy Brick
|2||January 1, 2018||October 29, 2018|
|Consumer interest in organic, GMO and related foods; Food marketing channels; Food advertising strategy and regulations||
1. data analysis and fieldwork on consumer perceptions of non-traditional foods
Mentor: Julie Stanton
|unset number||January 1, 2018||October 29, 2018|
|Context and Development Lab (CDL) – Undergraduate Research Assistant||
Description of Research: Research interests in the lab involve understanding how context shapes adolescents' development and how race, ethnicity, and other cultural attributes interact with contextual characteristics to influence adolescent outcomes. Past projects in the lab (FAN-C: Families, Adolescents, and Neighborhoods in Context; PLACES/LUGARES) have explored the roles of different contexts such as residential neighborhood, school, family, etc. on African...
Mentor: Dawn Witherspoon
|10||July 16, 2018||October 29, 2018|
|CurtisLab, Engineering & Life Sciences||
CurtisLab of the Department of Chemical Engineering has a diverse array of ongoing projects that are generally quite applied and focus on realizing low-cost mechanisms to scale-up processes. A key benefit of CurtisLab is its highly interdisciplinary nature, which enables vicarious learning and a holistic approach to problem-solving and research. The processes are varied and range in focus across disciplines including:
|undefined||January 1, 2018||October 29, 2018|
|Data entry and analysis from Grand Teton National Park Visitor Use Study||
Selected students will have the opportunity to help with data entry and analyses from park-based visitor use management projects. The focus of this experience will be working on social science data from Grand Teton National Park.
Mentor: Derrick Taff
|3||September 4, 2018||October 29, 2018|
Recurrent deep learning methods are changing what we can do in artificial intelligence. We are exploring problems in text, coding, and sequence understanding.
Mentor: C Lee Giles
|TBD||January 1, 2018||October 29, 2018|