Summer Internship Opportunities at the LRC (2021)

Expires May 21, 2021

The Laboratory for Research in Complex Systems (LRC) has opened two summer internship positions in the area of Media Technology and Complex Systems. Interns will receive a stipend of $1000/month for 3 months. Interns will get a chance to work with various scientists at the LRC, and will get to both contribute and learn while advancing cutting-edge projects. The LRC is funded by the Templeton Foundation, Moore Foundation, DARPA and other agencies.

 

1. Media Technology.

Intern will participate in a unique experiment to explore “visual podcasts” as an emerging area of knowledge sharing and tracking in real time. The intern will work with the Quarantime.Today team, led by LRC Principal Scientist Peter Hirshberg (who is also Chairman of Maker City), Assoc. Dir and Sr. Scientist John Realpe and collaborator Mickey McManus (former CEO of MAYA). Quarantime has hosted numerous high-profile guests over the past year, and guests have provided information about the pandemic, its spread and its effect on the general population. The project aims to explore the impact of visual podcasts as an additional channel compared to scientific publications, how knowledge is generated and consumed in these channels, and such podcasts can serve as way to identify new areas of knowledge synergistically. The intern will help organize current podcasts, review podcasts to create summaries and identify common threads that were popular with guests. 

Period of internship: Flexible (June to September)


Place of work: Remote, office visit not required


Contact: Interested candidates should send an email with a CV and one-paragraph cover (within the email) to
media-internship@lrc.systems by May 21, 2021. Please do not send letters of recommendation or any other
material at this time.

 

 2. Complex Systems. LRC invites interns with strong computational and quantitative backgrounds to participate in one or more projects (depending on the level of expertise and interest) relating to AI, bioinformatics/evolutionary-biology, cognitive/consciousness science, or quantum computation/foundations/physics. The intern will work under the supervision of Dr. John Realpe to develop new statistical physics and quantum-computing strategies related to biological complexity, cognition, knowledge-omics, and other areas. 

Period of internship: Flexible (June to September)


Place of work: Remote, office visit not required


Contact: Interested candidates should send an email with a CV and one-paragraph cover (within the email) to quantbio-internship@lrc.systems by May 21, 2021. Please do not send letters of recommendation or any other
material at this time.

The LRC welcomes all candidates regardless of race, religion, gender, or sexual orientation, and places a very high emphasis on diversity. Women and under-represented minorities are highly encouraged to apply.