Funded graduate position inthe CSS of OSS
We are hiring a graduate student in Communication or another science for an NSF-funded research position under , for a graduate training in computational social science (CSS). This interdisciplinary work is focused around open source software (OSS) project success, and integrates social network analysis (SNA) and computational policy analysis, via natural language processing techniques. You will have an opportunity to receive training from several faculty specializing in OSS, CSS, SNA, machine learning, and the quantitative study of governance systems ( & at UCD and & at UMass Amherst). You will work closely with junior computer scientists also joining the project, and .
Applicants should obviously have an interest in committing their graduate training toward a CSS expertise and show enthusiasm, promise, or experience in programming, data science, or statistics. As the project is funded for at least two years, and up to five, you should be able to make a strong claim that the subject matter is in line with your desired long-term research direction. Ph.D. students are preferred but Master’s students may apply. Submit a resume/CV and graduate exam scores (unofficial/outdated are fine). You may also submit a cover letter and links to previous research or code. Women, underrepresented minorities, and students with disabilities are encouraged to apply. For more information, review the and contact Prof. Frey at email@example.com.
Postdoc in OSS Sustainability
The Computer Science and Communication departments at the University of California Davis have an exciting opportunity for a postdoctoral fellow, funded by the NSF. This is for a 2-year research position at the intersection of computational social science, software engineering, and organizational governance.
The goal of the project is to study paths to sustainability that open source software projects can follow based on the experience of projects that have already become sustainable. The PIs, and , are experts in software engineering data analysis, computational social science, and institutional analysis. In this project we are putting those backgrounds together to develop an infrastructure for understanding the paths to sustainability. Specifically, our goal is to gather development traces and governance/rules data from existing projects and build analytic tools to inform projects of how to improve their chances to be independent and sustainable. More information is available at . The postdoc will be working in the Computer Science Department at UC Davis and will report to Prof. Filkov, but will be co-advised by both PIs.
A successful candidate will have strong background in programming and data science, and experience in machine learning and NLP. Other qualifications include interdisciplinary interests, a PhD in a computational field, and a strong track record of peer reviewed publications. The postdoctoral candidate will have an opportunity to learn techniques for the gathering, organization, and analysis of both structured and unstructured data, e.g. data from ASF Incubator and Linux Foundation projects.
To apply contact Prof. Filkov at firstname.lastname@example.org. Applications received by October 30 will be given full consideration. Women, underrepresented minorities, and students with disabilities are encouraged to apply.