HomeProgram Information
Research mentors who are not seeking undergraduate researchers through other OURConnect programs can post their available positions as individual opportunities. The available opportunities change weekly and is updated based on research mentor needs.
Applicant Information- Contact: Angie Welshimer
- Contact: Angie Welshimer
Propose a new project within this program
Projects
| Term | Active? | Program | Location | Project | Supervisor | Research Area | Description | Type of Work | Actions |
|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Yes | Individual | West Lafayette | Feedback Internship Program | Sarah R Renkert | Anthropology, Ethnography | THIS APPLICATION IS CLOSED! About Feedback Feedback specializes in developing contextual voice-of-the-consumer research through digital channels to reveal how audiences speak to peers, make decisions, and compare services. Feedback helps clients understand their audiences in ways that automated technologies simply cannot. Using a unique HumanFilter social listening process to conduct ethnographic research, Feedback’s hand-trained data scientists observe behaviors, identify preferences and channels, develop decision pathways, and analyze findings. To learn more about Feedback, please review their website: https://discoverfeedback.com/ The Feedback Internship opportunity will include: • Initial training on Feedback’s ethnographic research methodologies and data systems using a mock-project • Successful interns will improve their skills in the following areas: 1) ethnographically sound inferences; 2) broad-ranging channel discovery instincts; 3) analytical coverage/depth; and 4) general diligence toward addressing segments of a research plan | Interns will be responsible for: • Providing supplemental assistance as needed on virtual ethnographic projects – producing field notes and analysis • Collaborate in producing client deliverables • Advance interns will assist in adding/building out contextual data in deliverables, proofing the research database, and supporting data analysis Time Commitment and Remuneration • Initial training is approximately 8 hours • Work on projects after training varies based on interest and availability but typically covers 20 hours • Position is fully remote • $500 stipend | Apply |
| Spring 2026 | Yes | Individual | West Lafayette | Curriculum Innovation in Sustainability and Environmental Engineering | Xinyu Zhang | Engineering Education | This project will investigate curriculum innovation opportunities in the School of Sustainability Engineering and Environmental Engineering, including but not limited to (1) support program for veterans/service members, (2) global competency for the field of sustainability and environmental engineering, and (3) sustainability curricular integration in engineering. The research course to register could be the EEE 49800 (https://engineering.purdue.edu/EEE/Academics/CurrentStudents/UndergraduateResearchEEE) or a research/project/capstone course from your discipline or Honors college. Interested students should submit the following application materials: (1) resume, (2) your former writing sample of literature summary/review (previous course work or other project work is fine), and (3) your interests and experience in education research. Please combine all three documents into one file and upload them to the resume location. Additionally, submit the transcript. | Conduct literature review; identify partners for undergraduate study abroad design/research projects; prepare data cleaning and data analysis for quantitative/qualitative data; support writing scientific papers and preparing conference presentations. | Apply |
| Academic Year 2025 | Yes | Individual | West Lafayette | Sustainable Tourism and Destination Stewardship | Gordon J Day | Sustainable Tourism, Destination Management, climate change | In this project, we are tracking activities undertaken by state and local tourism organizations to promote sustainable development and destination stewardship. Particular attention will be paid to climate change planning in US destinations. The project is designed to establish a baseline for these activities in communities across the US and to identify best practice cases. | Students will examine web resources, planning documents, and other reports to identify key trends across destinations. Instruction on content analysis techniques will be provided. Most resources are available online, and students will have flexibility in scheduling their work. | Apply |
| Fall 2025 | Yes | Individual | Purdue Fort Wayne | The Mathematical Laws of Morphology and Biomechanics through Ontogeny | Alessandro Maria Selvitella | Mathematics, Applied Mathematics, Statistics | Job Summary We are currently seeking applications for research assistant positions supervised by Prof. Alessandro Maria Selvitella (Webpage - Google Scholar), at Purdue University Fort Wayne for Summer 2025. These positions will support the research of Prof. Selvitella's lab and they will focus on developing new mathematics and statistics tools for the study of the laws that govern morphology and biomechanics of animals and humans through growth. These positions will benefit from and contribute to the many activities of Prof. Selvitella's lab, such as: Thematic Program on the Mathematical Laws on Morphology and Biomechanics 2021 - ongoing, the annual Workshop in Mathematical and Computational Biology (2021 and 2022), and the Midwest Workshop of Women in Experimental Biology: Towards an Integration of Modern Machine Learning Methods to the Biological Sciences 2022. The positions are particularly interesting for people with strong mathematical and statistical expertise. | Responsibilities The research assistants will lead their research projects under the supervision of Prof. Selvitella and will have the opportunity to interact with other students in Prof. Selvitella’s lab and with his collaborators. The research assistants will: Work with Prof. Selvitella on a specific research project centered on the development of new statistical and mathematical methods for the study of the governing laws of morphology and biomechanics through ontogeny. Perform statistical analysis of datasets of interest to the project using statistical software such as R, Python, and/or Matlab. Prepare manuscripts and research reports on the assigned project. Report to Prof. Selvitella on progress/activities once per week (1hr meetings). | Apply |