NSF Ph.D. Fellowships in Ethical AI, UT Austin
Good Systems, a UT Grand Challenge and Texas Robotics are recruiting our first cohort of NSF Research Traineeship Ph.D. Fellows in Ethical AI. Students can apply for doctoral admission in several programs, of which Community and Regional Planning is one. Students will take coursework in ethical AI, and may participate in research projects such as Good Systems core research projects in Smart Cities, Racial Justice, Living and Working with Robots, and Smart Hand Tools, as well as Texas Robotics projects in Short-to-Medium-range Autonomous Delivery Systems, Building-Wide Intelligence, RoboCup@Home, and Human-Centered Service Robots. The Ph.D. Fellowship includes full funding (stipend, tuition, and health benefits) from NSF for two years and funding from UT-Austin for up to three more years (the NSF Fellowship are restricted to US Citizens and Permanent Residents, but all prospective applicants are invited to apply for admission to our respective doctoral programs). Students will take interdisciplinary coursework including an socio-technical blend of courses across architecture, computer science, engineering, and information studies.
Please apply to any or all of the participating programs at the links and by the deadlines listed below, and please make sure to mention your interest in participating in the Ph.D. Fellowships in Ethical AI in your application. We encourage interested applicants to contact Dr. Junfeng Jiao directly.
School of Architecture
Application Deadline: December 15, 2021
Contact: Junfeng Jiao
The core objective of the Ph.D. program in planning is to prepare highly qualified graduate students for research and teaching at the university level and for leadership positions in public and private institutions. The program provides rigorous, but flexibly tailored, scholastic and practical training for advanced students to prepare them to make substantive contributions to planning and related policy fields. The specific goals for students of the program include:
- Obtaining a detailed understanding of planning theory and its relation to broader social problems, processes and policies.
- Developing substantive knowledge and mastery in 2 field areas – one within planning and the other in an outside area of concentration.
- Gaining a mastery of quantitative and qualitative research methods in order to conduct advanced independent research in planning.
- Engaging in planning-related research and theory construction that leads to original and relevant findings of significant value to citizens, communities and other scholars.