[Busec] Fwd: Call for Interns

Sharon Goldberg goldbe at cs.bu.edu
Fri Feb 13 14:07:34 EST 2015


---------- Forwarded message ----------
From: Salil Vadhan <salil at seas.harvard.edu>
Date: Fri, Feb 13, 2015 at 1:54 PM
Subject: Call for Interns

Dear Colleagues,

The multidisciplinary research project, Privacy Tools for Sharing Research
Data <http://Privacytools.seas.harvard.edu>, is looking for interns to join
us at Harvard this summer:

·         *Undergraduates* should apply to our REU program at
http://www.seas.harvard.edu/k-12-community-programs/reuby *February 28.*

·         Harvard undergraduates should also consider applying for PRISE
<http://www.priselink.harvard.edu/> (deadline *February 17*) or other sources
of funding <http://uraf.harvard.edu/> from the College.

·         Others (such as potential *law interns, graduate students,
postdocs, *and* visiting scholars* interested in short or long-term
opportunities) should email a cover letter, CV, and contact information for
2-3 references to privacytools-info at seas.harvard.edu *as soon as possible*.

We would appreciate it if you would extend the call to your extended
network, particularly those at other institutions.


*Call for Summer Interns*

Spend Summer 2015 at *Harvard* performing cutting-edge research on data
privacy.* The Privacy Tools Project* (http://privacytools.seas.harvard.edu/)
is looking for summer students in *Computer Science, Statistics,
Government, **Mathematics, * *Law, *and *Social Sciences with Quantitative
Experience*, particularly those with an interest in learning about or
working on* Data Privacy.*

We are working on ways for scientists to share research data for producing
replicable, open science, without compromising the privacy of the
individual research subjects whose data is used.  Students last summer
wrote or contributed to publishable research papers in this fast-moving
field, and we expect the same this year.  The work across the different
projects includes elements such as:

·         *Theory:* proving mathematical theorems about what is achievable
in the framework of “differential privacy,” which is a very active area of
research in theoretical computer science and other fields,

·         *Experimental algorithms:* implementing, optimizing, and testing
algorithms that perform useful data analysis tasks and satisfy
“differential privacy” or other privacy metrics,

·         *Empirical research:* surveying social science datasets and
analysis methods to determine the fit with different privacy technologies,

·         *Software development:* including for statistics, user
interfaces, and data visualization.

·         *Programming languages and computer security:* design and
implement programming language tools to ensure differential privacy and
combine it with other computer security models.

·         *Law:* develop legal instruments and policy recommendations that
complement new privacy-preserving technologies.

·         *Interdisciplinary interaction:* collaborating with computer
scientists, social scientists, lawyers, and statisticians.

Useful background includes any of the following:

·        Theoretical computer science, especially algorithms

·         Data science, e.g. statistics and/or machine learning

·         Programming (in R, Java, Scala, Python, Javascript, or D3)

·         Quantitative analysis of social science data,  especially
regression ("least squares", or OLS)

·         User interfaces and user experience testing

·         Programming language design and implementation
·         Law, especially privacy law

Sharon Goldberg
Computer Science, Boston University
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