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Open Research Positions

Research positions available with faculty and projects supported by the Stanford Cyber Initiative.

How to use this page:

Students: These positions are open to interested applicants irrespective of major or department. Please read through the descriptions or search by keyword, and contact the listed contact person for more information or to apply.

Faculty: To list a project on this site, please email aberke@stanford.edu with the following information: Project title; Project description; Faculty or research lead; Desired qualifiications, if any; Hours; Responsibilities, if specific tasks desired; Contact information.

 

Project Title: Mobilization on Chinese Social Media
School: H&S
Department: Communication
Faculty Leader: Jennifer Pan
Project Description: As part of a broader project on the relationship between technological innovations and socio-political outcomes, we are looking for 2-4 undergraduates to read and categorize social media posts from Sina Weibo. We are particularly interested in how people express grievances online.
Responsibilities: Work closely with Professor Pan and graduate students to read large number of posts from Sina weibo, and places these posts into different categories (e.g., whether the post relates a societal grievance).
Qualifications: native or near-native fluency in reading Chinese, familiar with social media in China (e.g., have used Sina Weibo).
Hours: Approximately 10 hours per week
Paid position, rate depending on experience
Contact: Please send your resume and current transcript to Jennifer Pan (jp1 @ stanford.edu)


Project Title: Mobilization on Chinese Social Media
School: H&S
Department: Communication
Faculty Leader: Jennifer Pan
Project Description: As part of a broader project on the relationship between technological innovations and socio-political outcomes, we are building infrastructure on Sherlock to collect social media content from China.
Responsibilities: Work closely with Professor Pan and graduate students to develop scalable-code to collect social media data from China.
Qualifications: Strong programming skills in python and sql; familiarity with Sherlock HPC cluster a plus. Knowledge of Chinese not necessary but would be a plus.
Hours: Approximately 10 hours per week
Paid position, rate depending on experience.
Contact: Please send your resume and current transcript to Jennifer Pan (jp1 @ stanford.edu)


Project Title: Behavioral Biometrics
School: Engineering
Department: Computer Science
Faculty Leaders: David Mazieres, Russell Poldrack, and Bahman Bahmani
Project Description: Authentication is one of the major problems faced by the society in interacting with cyber technology. Passwords, challenge questions, out-of-band text messages, and physiological biometrics create friction with user experience, and yet are increasingly bypassed by hackers. In this project, we will study the use of behavioral biometrics, i.e., the unique traits in user interactions with digital devices and services, for frictionless cyber authentication. We will use a principled approach based on human cognitive psychology, systems security, and machine learning to design authentication schemes based on behavioral biometrics, and further study their robustness against adversarial attacks.
Responsibilities: We are looking for an RA (undergrad, masters, or PhD) to collaborate with Bahman Bahmani, David Mazières, and Russell Poldrack (from the Psychology department) and work on a project at the intersection of machine learning and cybersecurity.
Qualifications: Background in machine learning(particularly, deep learning), algorithms, web and mobile development, and preferably computer security is needed for the position.
Hours: Dependent on schedule
Paid position, rate depending on experience.
Contact: Please send an email to Bahman Bahmani at bahman@cs.stanford.edu, with a brief summary of your interest and availability as well as your resume.