Academia
Assistant Professor - Technology Policy, Governance, and Society - School of Information - Goldman School of Public Policy - UC Berkeley - Ideal candidates will have research foci in one or more broad areas at the intersection of technology and policy – including digital democracy, privacy and security, and data science from a policy analysis perspective – and who can teach innovative courses on these topics to graduate students in both Public Policy and Information Schools. We seek applicants with expertise in technology combined with an explicit policy domain including, but not limited to: policies and regulation for AI/automation; racial-ethnic and social justice; public health; climate change and environmental sustainability; election and voting integrity; social media, journalism and information integrity; public administration and agile government; planning, infrastructure, and transportation; and law and technology regulation. Please visit this website to apply: https://aprecruit.berkeley.edu/JPF04007
Assistant Professor - The Department of City and Regional Planning (DCRP) at UC Berkeley - Ideal candidates are a scholar whose primary research emphasis is on the use of emerging technologies in city planning or planning research, or the impacts of emerging technologies upon cities. Ideal candidates will apply methodological approaches described below to analyze rapidly evolving technologies within different domains such as climate change, housing, transportation, energy, land use, governance, environmental sustainability, economic development, or urban design. We are particularly interested in scholars using innovative quantitative methods based on data science, along with rapidly growing analytical areas such as artificial intelligence (including machine learning and deep learning). Please visit this website to apply: https://aprecruit.berkeley.edu/JPF04106
Computational Social Scientist, Assistant Professor, Tenure Track - NYU - The Department of Applied Statistics, Social Science, and Humanities (ASH) in conjunction with the Center for Practice and Research at the Intersection of Information, Society, and Methodology (PRIISM) seeks a computational social scientist for a tenure-track assistant professor position. Applicants should have a keen interest in both developing/evaluating new statistical/computational methods and applying methods in collaborative work with faculty and graduate students in areas represented by the Applied Statistics program in ASH and the PRIISM Center, as well as with faculty and graduate students in other parts of the University whose interests intersect with these entities. The appointment begins September 1, 2024. Please visit this website to apply: https://apply.interfolio.com/130524
Government
California Department of Social Services
There are currently two research data specialists positions.
Analysis & Modeling Unit Research Data Specialist I - The Research, Automation, and Data Division (RADD) Analysis & Modeling Unit (AM) is seeking a mission-driven, curious, team player to join us as a Research Data Specialist I. This position will use advanced computational methods and statistical modeling to inform CDSS program decision-making and improve department processes. Please visit this website to apply: https://www.calcareers.ca.gov/CalHrPublic/Jobs/JobPosting.aspx?JobControlId=388424
Analysis & Modeling Unit Research Data Specialist I - The Research, Automation, and Data Division (RADD) Analysis & Modeling Unit (AM) is seeking a mission-driven, curious, team player to join us as a Research Data Specialist I. This position will use advanced computational methods and statistical modeling to inform CDSS program decision-making and improve department processes. Please visit this website to apply: https://www.calcareers.ca.gov/CalHrPublic/Jobs/JobPosting.aspx?JobControlId=388588
Industry
Accenture
Advanced Senior AI Research Scientist - Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. The candidate will formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. Click here to read more about this position and apply.
AI Infrastructure Performance Optimization Engineering Senior Manager - An Infrastructure Performance Optimization Engineer who specializes in executing migration projects related to infrastructure version upgrades, changes in platform(s), service locations or operating entity. The position will architect and build new infrastructure environments, and understand cost drivers for execution timelines, seeking to optimize business impact and transition speed. Click here to read more about this position and apply.