Jobs | Berkeley Institute for Data Science (BIDS)

Academia

Technical Director - Police Records Access Project - Berkeley Institute for Data Science (BIDS) - California allocated $6.87 million in its 2023-24 budget to UC Berkeley to develop the Police Records Access Project, a first-of-its-kind, state-wide database of police misconduct and use-of-force records. It will help communities, journalists, public defenders, prosecutors, and police departments develop a deeper understanding of California policing. This leadership position will focus on (1) Research, planning, development, maintenance, deployment, and implementation of a shared federated database of police data, (2) Research, planning, development, maintenance, deployment, and implementation of data extraction tools techniques and workflows, and (3) Partnering in research, planning, development, maintenance, deployment, and implementation of a public-facing portal of police data. Please visit this webpage for position details.

Neyman Visiting Assistant Professor - Statistics - The Department of Statistics, in the College of Computing, Data Science, and Society (CDSS) at the University of California, Berkeley currently seeks applications for a non-tenure-track Neyman Visiting Assistant Professor position. The Neyman Visiting Assistant Professor will be expected to engage in teaching and research and participate in seminars and lectures within the department. (Anticipated start: July 1, 2024 or January 1, 2025) Please visit this website for details: https://aprecruit.berkeley.edu/JPF04188

Assistant/Associate/Full Professors - Scientific Software and AI for the Chemical Sciences - The University of California, Berkeley seeks applicants for two faculty positions at the Assistant Professor, Associate Professor, or Full Professor rank, whose research is at the interface of the computational, statistical, chemical, and physical sciences, including the development and deployment of new materials using artificial intelligence (AI) and machine learning (ML) methodology. The two positions to be filled are: Machine learning applied to chemical sciences, joint between the Department of Chemistry and either the Department of Electrical Engineering and Computer Sciences (EECS) or the Department of Statistics; Scientific software infrastructure, in the Department of Statistics. (Anticipated start: July 1, 2024) Please visit this website for details: https://aprecruit.berkeley.edu/JPF04118

Assistant/Associate/Full Teaching Professor - Data Science and Statistics - Department of Statistics - The Department of Statistics in the College of Computing, Data Science, and Society (CDSS) at the University of California, Berkeley, seeks applicants for an open rank position at the Assistant or Associate/Full Teaching Professor levels. The position is formally titled Lecturer with Potential for Security of Employment (LPSOE), Lecturer with Security of Employment (LSOE), or Senior Lecturer with Security of Employment (Sr. LSOE) depending on qualifications and experience. Teaching Professors are full members of the academic senate and are eligible for Security of Employment, equivalent to tenure. (Anticipated start: July 1, 2024) Please visit this website for details: https://aprecruit.berkeley.edu/JPF04092

Assistant/Associate/Full Professor - Statistics and Data Science - Department of Statistics - The Department of Statistics, in the College of Computing, Data Science, and Society (CDSS) at the University of California, Berkeley, currently seeks applicants with outstanding records in Statistics and Data Science for a position at the assistant, associate, or (full) professor rank. We are broadly interested in candidates working across all areas of statistics, their applications (such as to the biological, medical, physical, and social sciences), and adjacent areas (such as machine learning and data sciences). Successful candidates for a position at the assistant professor rank are expected to have demonstrated research potential. Serious consideration will be given to the candidate’s potential for success in mentoring PhD students, record in teaching at both the undergraduate and graduate levels, potential for effective leadership, and professional service, including service promoting access and diversity in higher education and the academic profession. (Anticipated start: July 1, 2024) Please visit this website for details: https://aprecruit.berkeley.edu/JPF04079

Assistant Professor - Statistics, Data Science, Computational or Theoretical Neurosciences - Statistics Department and Helens Wills Neuroscience Institute - The Berkeley Statistics Department and the Helens Wills Neuroscience Institute currently seek applicants for a position at the assistant professor rank, whose research is in Statistics, Data Science and Computational/Theoretical Neurosciences. Applicants are expected to be directly motivated by cutting-edge high-impact neuroscience questions and being deeply engaged in collaborative projects with experimentalists. Applicants who investigate computational and statistical principles underlying brain function are particularly encouraged. Serious consideration will be given to the candidate’s potential for success in mentoring PhD students, record in teaching at both the undergraduate and graduate levels, and potential for effective leadership. Serious consideration will also be given to professional service, including service promoting access to and diversity in higher education and the academic profession. (Anticipated start: July 1, 2024) Please visit this website for details: https://aprecruit.berkeley.edu/JPF04142

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

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

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

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

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.