Data Science Internship
SONIC Data Science Internship
Opportunities Fall 2022
Course Credit:
Research Practicum registration #: 389 (COMM_ST)
Independent Study registration #: 399-0 (IEMS), 399-0 (CS) and 499-0 (CS)
Duration:
Fall 2022 (with the possibility to continue)
Location:
In person or Remote
Organization Overview:
The Science of Networks in Communities (SONIC) research group advances social network theory
and methodology through the development of cutting-edge techniques to understand and enable
networks in diverse communities. For more information, please visit
http:/sonic.northwestern.edu/about
Internship Opportunities:
SONIC is excited to offer the internship opportunities this quarter:
- Car Project (details below)
- Kenya Project (details below)
- Science of Science Project (details below)
- Project RED (details below)
Requirements:
Data Science Internships are open to current undergraduates or graduate students enrolled in an
accredited degree-seeking program at Northwestern. Candidates must be able to demonstrate
attention to detail, proficient writing/communication skills, analytic thinking, and emphasis on
deadlines. Candidates must commit to attend weekly lab meetings in-person or virtual. Many
projects require candidates to have at least basic knowledge of programming or statistical software.
For project specific requirements and preferences, see descriptions below.
Application Instructions:
For general questions about the internship and the SONIC research group, please complete this
Google form and contact Dorothea Boyle, at dorothea.boyle@northwestern.edu for questions.
Organization Overview:
The Science of Networks in Communities (SONIC) research group advances social network theory
and methodology through the development of cutting-edge techniques to understand and enable
networks in diverse communities. For more information, please visit:
http://sonic.northwestern.edu/about .
Description:
This project aims to understand how consumers' preferences and social networks can be used
to predict their car consideration and purchase decisions, and how these decisions can help car
manufacturers make better car design decisions. Intern responsibilities:
1. Data Cleaning: Write R code to process survey data (obtained in .csv format) and
reformat into a workable data structure
2. Modeling: Re-write existing R code to run bipartite ERGMs (predicting
consumer-product relations)
Required Qualifications:
This position is open to current undergraduates or graduate students enrolled in an accredited
degree-seeking program at Northwestern. Candidates must be proficient in R.
Departments: IEMS, CS, MMSS, or other departments
Education level: Undergraduates or Graduates
Preferred Qualifications:
Interest in or prior experience in social network analysis (e.g. ERGMs, ALAAM) is strongly preferred.
Completed COMP-SCI 396, IEMS 341, or COMM ST 352 (Social Network Analysis). Experience with
data analysis and statistical analysis.
Application Instructions:
Please complete this Google form and send a resume and brief cover letter describing your interest
in the position to Neelam Modi ( neelammodi@u.northwestern.edu ).
Organization Overview:
The Science of Networks in Communities (SONIC) research group advances social network theory
and methodology through the development of cutting-edge techniques to understand and enable
networks in diverse communities. For more information, please visit:
http://sonic.northwestern.edu/about .
Description:
This project aims to understand how social networks and human social motives are used
collectively to enact social influence within a community. Intern responsibilities:
1. Data Cleaning: Write R code to process survey data (obtained in .csv format) and
reformat into a workable data structure
2. Modeling: Re-write existing R code to run ALAAMs
Required Qualifications:
This position is open to current undergraduates or graduate students enrolled in an accredited
degree-seeking program at Northwestern. Candidates must be proficient in R.
Departments: IEMS, CS, MMSS, or other departments
Education level: Undergraduates or Graduates
Preferred Qualifications:
Interest in or prior experience in social network analysis (e.g. ERGMs, ALAAM) is strongly preferred.
Completed COMP-SCI 396, IEMS 341, or COMM ST 352 (Social Network Analysis). Experience with
data analysis and statistical analysis.
Application Instructions:
Please complete this Google form and send a resume and brief cover letter describing your interest
in the position to Neelam Modi ( neelammodi@u.northwestern.edu ).
Organization Overview:
The Science of Networks in Communities (SONIC) research group advances social network theory
and methodology through the development of cutting-edge techniques to understand and enable
networks in diverse communities. For more information, please visit:
http://sonic.northwestern.edu/about .
Description:
This project aims to evaluate changes in scientific collaboration ecosystems over time in
response to exogenous shocks. Intern responsibilities include parsing through large datasets
(stored in mysql db) in order to:
1. identify scientists' prior publications and/or patents
2. extrapolate scientists' prior collaboration networks
3. decode scientists' areas of expertise using text analytics tools for mining the text
contained in scientific publications
Required Qualifications:
This position is open to current undergraduates or graduate students enrolled in an accredited
degree-seeking program at Northwestern. Candidates must be proficient SQL, R, and Python
Departments: CS or other departments
Education level: Graduates
Preferred Qualifications:
Experience with SQL and R or Python programming languages. Interest in gaining data science
experience (from data pre-processing to creation of knowledge). Interest in social science research,
specifically studying scientific collaboration, teams, and social networks.
Application Instructions:
Please complete this Google form and send a resume and brief cover letter describing your interest
in the position to Neelam Modi ( neelammodi@u.northwestern.edu ).
Organization Overview:
The Science of Networks in Communities (SONIC) research group advances social network theory
and methodology through the development of cutting-edge techniques to understand and enable
networks in diverse communities. For more information, please visit:
http://sonic.northwestern.edu/about .
Description:
This project aims to model optimization-based performance metrics for individuals, teams, and
teams-of-teams (multi-team systems) from space simulations. Intern responsibilities:
1. Run python code on a remote computing cluster to analyze data
2. Re-write / optimize python code for solving optimization problems
Required Qualifications:
This position is open to current undergraduates or graduate students enrolled in an accredited
degree-seeking program at Northwestern. Knowledge of Python & AMPL is required.
Departments: IEMS, CS or other departments
Education level: Undergraduates or Graduates
Preferred Qualifications:
Interest in or knowledge in optimization is strongly preferred. Completed IEMS 313 (or knowledge
of Linear Programming. Experience using command line/Bash.
Application Instructions:
Please complete this Google form and send a resume and brief cover letter describing your interest
in the position to Megan Chan ( Megan.chan@u.northwestern.edu ).
Organization Overview:
The Science of Networks in Communities (SONIC) research group advances social network theory
and methodology through the development of cutting-edge techniques to understand and enable
networks in diverse communities. For more information, please visit:
http://sonic.northwestern.edu/about .
Description:
This project aims to model and predict performance for individuals, teams, and teams-of-teams
(multi-team systems) using social networks. Intern responsibilities:
- Use R to develop and run ALAAM models
Required Qualifications:
This position is open to current undergraduates or graduate students enrolled in an accredited
degree-seeking program at Northwestern. Knowledge of R is required.
Departments: IEMS, or other departments
Education level: Undergraduates or Graduates
Preferred Qualifications:
Interest in or knowledge in social network analysis.
Application Instructions:
Please complete this Google form and send a resume and brief cover letter describing your interest
in the position to Megan Chan ( Megan.chan@u.northwestern.edu ).
