Check out job opportunities for graduate students, undergraduates, and staff!
- D-Lab is Hiring! -
Paid Undergraduate Positions at the D-Lab
Become a UTech for the D-Lab Frontdesk!
D-Lab is hiring 4 more undergraduate students for the academic year! We need you if: you are service- and detail-oriented; you are a student who is interested in helping students; you like to be asked questions and look for answers. The UTech role serves as a first point of contact for the wider campus community for accessing D-Lab services which support data, data science, workshops, consulting, and research.
Calling All Graduate Students: Join the D-Lab Consulting Fellows Team!
Are you eager to dive into captivating inquiries presented by graduate students, faculty, scholars, and esteemed research institutions across our campus? Look no further! The D-Lab Consulting Fellows program offers you a remarkable opportunity to contribute your expertise.
As a D-Lab Consulting Fellow, you'll work in tandem with a network of accomplished consultants, instructors, and Data Science Fellows within the D-Lab community. Together, we tackle a wide array of technical queries and specialized research questions. Rest assured, every inquiry is unique, ensuring an exciting and intellectually stimulating experience.
Join us today and become an invaluable member of our vibrant and dynamic team. Embrace the chance to broaden your horizons, collaborate with brilliant minds, and make a significant impact within the academic realm. Don't miss out on this extraordinary chance to enhance your skills and contribute to groundbreaking research. Apply now to become a D-Lab Consulting Fellow!
Full-time Staff Position at D-Lab D-Lab Trainer (4162U) - #56225
This is a full-time (40 hours per week) staff position working directly with senior staff, administrative staff, graduate students, and undergraduates. This role is fast-paced, requires keen attention to detail, and is crucial to the smooth operation and success of the D-Lab! In this role, having empathy and high EQ is as essential as the ability to navigate institutional and administrative complexities.
In this position, you will exercise independent judgment in providing support coordination of front desk, consulting, workshop delivery, operations, and training, as well as develop and document procedures in order to streamline and routinize daily operations and activities. You will contribute to planning and budgeting of staffing requirements and contribute to efforts under the supervision of Deputy Director and Project/Policy Analyst to monitor, gather, and analyze training and administrative data, and maintains records of training attendance to determine program effectiveness, and other administrative tasks.
Claudia von Vacano, Executive Director of the D-Lab and the Digital Humanities at the University of California, Berkeley, speaks with Humanitarian AI Today guest host Larissa Doroshenko, a Communication Studies lecturer at Northeastern University and researcher specializing in state-sponsored disinformation, and Mythili Tirumalasetty, from the University of Pittsburgh’s Health and Explainable AI Research Laboratory, about Berkeley’s D-Lab, the university’s brand new College of Computing, Data Science and Society, and D-Lab’s research into hate speech. Claudia, Larissa, and Mythili discuss the lab’s research methodology, machine learning and natural language processing, and parallels between hate speech research and research into misinformation and disinformation and the subject of bias in healthcare.
Tom van Nuenen discusses the sixth iteration of his course named Digital Hermeneutics at Berkeley. The class teaches the practices of data science and text analysis in the context of hermeneutics, the study of interpretation. In the course, students analyze texts from Reddit communities, focusing on how these communities make sense of the world. This task combines both close and distant readings of texts, as students employ computational tools to find broader patterns and themes. The article reflects on the rise of AI language models like ChatGPT, and how these machines interpret human interpretations. The popularity and profitability of language models presents an issue for the future of open research, due to the monetization of social media data.
Support D-Lab
Join our community of donors by making a gift to D-Lab. Contributions of any size will support free, inclusive workshops and resources for the UC Berkeley community. Give today!
