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What do we value as a lab outside of research?
What do we value as a lab outside of research?
Regardless of the specific research questions we are trying to answer, we strive to maintain the highest level of scientific integrity, as well as making our science open and reproducible.
Diversity, equity and inclusion: the lab should be a safe space in which every member belongs and thrives.
Mentorship and career support: whatever any lab member wants to achieve beyond their stay in the lab, we help each other and share resources to make it happen!
Mental well-being and work-life balance: we all have a life beyond the lab, which we should value and intentionally take time for, whether it’s hobbies, friends, family, sports, traveling or just alone time!
What are opportunities to join the lab?
What are opportunities to join the lab?
The lab currently does not have any open full-time/paid position, but read below for some opportunities to get involved and don't hesitate to reach out!
The lab will not be recruiting a graduate student in Fall 2026. Stay tuned for potential Fall 2027 opportunities (for general information or other labs that might be recruiting, check the Program in Neuroscience and Cognitive Science and the Department of Psychology - CNS area).
Research assistant: if you are an undergraduate or master’s student interested in joining the lab part-time for research credits or as a summer volunteer/intern, please fill out this Student RA interest form, and we will reach out if your application matches some of our ongoing projects!
Visiting graduate student: Master’s students hoping to complete their Master’s thesis (remote supervision is also an option) or visiting PhD students who would like to collaborate on a project and experience a different lab environment for a few months. To discuss these opportunities, please reach out at ccharpen[at]umd[dot]edu with your CV and a summary of your research interests.
Additional resources and useful information
Additional resources and useful information
For graduate school applicants:
Twitter thread combining a gold mine of information for prospective graduate students and the grad school application process:
Check here if you qualify for an application fee waiver at UMD.
Computer Programming skills:
The best Python bootcamp, by Justin Bois.
Twitter thread of resources to learn R as a psychologist.
Good coding practices: The Good Research Code Handbook, by Patrick Mineault.
Readings and Tutorials on Computational modeling:
See this document for detailed resources if you are looking to learn about computational modeling, both theoretically and practically.
Funding opportunities:
Up-to-date repository of early-career funding opportunities (mostly relevant for postdocs)
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