Research Scientist, Computer Science, Data-intensive Computing

The Department of Computer Science at the University of Chicago invites applications for a full-time Research Scientist position.

Working in collaboration with Ben Zhao and Nick Feamster in the Department of Computer Science, the Research Scientist will conduct original research and provide guidance for a research group working in Computer Science, with a particular focus on large-scale data-intensive computing. 

The goal of this project is to operationalize technologies for continuously measuring censorship from a global set of vantage points. We propose to measure censorship continuously and at scale from millions of vantage points around the world to develop a “weather map” and portal for the state of Internet filtering, interference, and control, focusing in particular on protocol manipulation across multiple levels of the protocol stack (network, transport, application, and name resolution). We will develop new censorship measurement techniques designed for large-scale, continuous, global measurements and curate them in a centralized and easily accessible repository.  

The Research Scientist will participate directly in this project through calculations, fabrication, measurements, and analysis, as well as support the PI with mentorship of researchers who will collaborate on the project.

The Research Scientist will also have opportunities to collaborate more broadly in other projects. This work could involve instrument development, instrument testing, calibration, and data analysis. The Research Scientist is expected to give public presentations at conferences and help prepare grants and reports on their research.

Expected project length is 2 to 4 years, with an initial appointment of 2 years. Expected start date is autumn 2022.

Required:

• A PhD in computer science, electrical engineering, or mechanical engineering;
• Must have at least two years of postdoctoral experience;
• Must have experience in securing machine learning systems against attacks as well as applying machine learning to security problems, particularly in networking.

Preferred:

• be proficient in aspects of machine learning ranging from theoretical analysis of learning, new algorithm design and deployment of machine learning models, with an ability to work across different data modalities.
• have a strong publication record in computer science and be open to inter-disciplinary research at the boundary of computer science and other disciplines. 
• Experience in large-scale data analysis, machine learning, both supervised and unsupervised (preferably in Python), networking data such as packet capture and NetFlow.
• Considerable research experience in securing machine learning systems against attacks as well as applying machine learning to security problems, particularly in networking.
• Proficient in aspects of machine learning ranging from theoretical analysis of learning, new algorithm design and deployment of machine learning models, with an ability to work across different data modalities. The Research Scientist is expected to initiate and guide research projects with students, post-docs and other researchers.

Applicants must apply online through the University of Chicago academic careers website using this link: apply.interfolio.com/111042 .

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The University’s Statements on Diversity are at https://provost.uchicago.edu/statements-diversity .

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination .

Job seekers in need of a reasonable accommodation to complete the application process should call 773-834-3988 or email [email protected] with their request.