University of Maryland

Current opportunities to work at the University of Maryland Social Data Science Center

Postdoctoral Associate

The Social Data Science Center (SoDa) at the University of Maryland has an open position for a Postdoctoral Associate. The candidate must have a strong background in survey statistics, statistical disclosure control, or data privacy. The successful applicant will work in a project on differential privacy for surveys funded by the U.S. Census Bureau and conducted in close collaboration with researchers from Georgetown University, Boston University, and Harvard University. The contract duration will be 12 months.

The primary activity of the candidate will be to collaborate with researchers from the University of Maryland and the other universities involved to study the possibilities and limitations of differential privacy in the survey context. The successful applicant will: 1) evaluate the impacts of commonly applied pre-processing steps such as weighting, editing, and imputation on differential privacy; 2) investigate how complex sampling designs affect the privacy guarantees, 3) develop methods to take the data protection measures into account when analyzing the survey data; and 4) work on potential adjustments for the data production process to meet the requirements of differential privacy. The scholar will be directly involved in international presentations and preparation of manuscripts for publication in academic journals.

Criteria for selection include a demonstrated research ability in survey statistics and data confidentiality, strong computational skills and a good knowledge of the R programming language, commitment to collaborative research, and excellent verbal and written communication skills. A background in Computer Science and knowledge of Python is a plus.

For more information or to apply, visit https://ejobs.umd.edu/postings/search  (Position Number: 126171)


Assistant Research Scientist

The University of Maryland Social Data Science Center (SoDa) seeks to hire an Assistant Research Scientist to work on contract and applied research in social data science in areas including public health, economics, transportation, and education through survey methodology, measurement, information management, visualization, and analytics. The applicant must have an interest in building expertise in and conducting research in social data science, survey methods, and measurement.  Duties include:

●        Work with multidisciplinary teams of research scientists (e.g., survey methodologists, political analysts, quantitative sociologists, applied economists, computational criminologists, social media analysts, data journalists, smart city     planners) to design and carry out research, such as develop new methods to create data streams that will advance our fundamental understanding of social phenomena and support evidence-based policy initiatives

●        Produce high impact data science research in support of social sciences

●        Review and synthesize existing literature

●        Prepare applications and maintain records for the Institutional Review Board (IRB)

●        Direct and conduct data collection in a variety of settings and using a variety of methods

●        Train faculty research assistants and undergraduate assistants

●        Analyze data qualitatively and quantitatively, such as applying established and new analysis methods to novel data sets

●        Develop new analysis methods and design methods

●        Prepare presentations, reports, funding proposals, and scholarly publications related to research

This is a full-time position with benefits. The position is subject to the availability of funding.

For best consideration applications should be submitted no later than May 15, 2021, but the search will continue until a suitable candidate is appointed.

To apply go to: https://ejobs.umd.edu/postings/search (Position Number: 126221)


Applications from women and minorities are particularly sought. 

The University of Maryland is an Equal Opportunity Affirmative Action Employer.  

For more information, please contact Lucy Robles at lrobles1@umd.edu