Announcing the 2019 Johns Hopkins University Mind and Vision Summer Research Experience
We are now accepting applications for the 2019 Johns Hopkins University Mind and Vision Summer Research Experience. Summer interns will receive close mentorship by faculty, postdocs, and graduate students, and will be exposed to many aspects of cognitive science and vision research. Under the direction of Profs. Justin Halberda and Chaz Firestone, the program is currently investigating a range of topics, including numerical cognition, memory, perception of complexity, and human and machine vision.
Summer interns are fully involved in all aspects of research, including recruiting and testing participants, coding and analyzing data, and interpreting and presenting results. Interns also participate in guided readings of cognitive science and vision literature, and attend laboratory meetings in which we discuss ongoing projects or current issues in the fields of cognitive science and vision research.
Successful candidates will be able to demonstrate enthusiasm for the research being conducted, a strong work ethic, and an excellent academic record. Desirable background experience includes coursework in experimental psychology, quantitative and technical skills, an ability to work in a highly collaborative, team-oriented environment, and previous research experience.
The 2019 Program will run from Monday, June 3rd to Wednesday, July 31st, and will be 40 hours per week. Summer stipends up to $1800 will be available to excellent applicants. Applicants are also encouraged to seek and apply for funding from their home institution or other sources.
To apply, please submit a completed application using this link (https://docs.google.com/forms/d/e/1FAIpQLSfZKlJQBafoGwqtrsvx1MltZZMxCx8ShbdIlr0-1NnkqbMMpA/viewform), including a cover letter explaining your interest in and qualifications for the position, an updated CV/resume, an unofficial academic transcript, and two letters of recommendation by Friday, March 1, 2019.
Inquiries and letters of recommendation should be sent to the Laboratory Manager, Pat Little, at email@example.com. Letters of recommendation should be sent directly from the recommender as a PDF and should include the applicant’s name in the document title.