AI Cluster Hiring Initiative

AI Cluster Faculty Search (2024)

Boston University (BU) invites applications for eight tenure-track faculty positions as part of a 3-year cluster hiring initiative in Artificial Intelligence (AI). This university-wide initiative, led by the Faculty of Computing & Data Sciences (CDS) in partnership with six schools and colleges at BU (Arts & Sciences, Business, Communication, Education, Engineering, and Law) aims to recruit a cadre of scholars working on foundational, methodological, and use-inspired dimensions of AI to be appointed in academic units spanning the disciplines of Computer Science, Philosophy, Mathematics & Statistics, Electrical & Computer Engineering, Education, Emerging Media Studies, Information Systems, and Law. Founded in 2019 and housed in an iconic 19-story building, CDS is a university-wide academic unit created to connect BU’s 17 schools and colleges through the common language of computation and data and to lay the foundation for innovation-driven, civic-minded computing, data science, and AI.

All candidates pursuing basic or applied research in data science, machine learning, and AI will be considered. Candidates from underrepresented groups and candidates working in one or more of the following dimensions of AI are encouraged to apply:

(1) Foundations. Foundational research in the theories that enable the conceptualization, development, evaluation, and application of AI, including the exploration of connections with topics in areas such as philosophy, cognition, logic, algorithms, mathematics, statistics, biology, and physics.

(2) Methodologies. Supervised, unsupervised, and reinforcement machine learning methods and platform of broad applicability, including deep neural networks, federated learning, scientific machine learning, natural language processing, large language models, and multimodal learning.

(3) Use-Inspired. AI research inspired by or tackling problems in areas beyond computing, including human-centered socio-technical systems, behavioral neuroscience, education, epistemology, communication, media, business, economics, ethics, law, public policy, regulatory compliance, and future of work.

BU expects excellence in teaching and in research, and is committed to building a culturally, racially, and ethnically diverse scholarly community, which is essential to its mission. BU is an AAU institution with a rich tradition of inclusion and social justice. We are proud of our record, including being the first American university to award a PhD to a woman and the university from which Martin Luther King Jr. received his PhD. We are dedicated to increasing participation of all talented students, especially women and other underrepresented groups in Computing and Data Sciences.

Qualifications required of all applicants include a PhD or equivalent degree; a strong record of research; a demonstrated capacity for cross-disciplinary collaboration; and a commitment to innovative teaching.

Qualified faculty candidates are invited to submit their application materials through the search web portal at https://academicjobsonline.org/ajo/jobs/25744, indicating which of the academic units participating in this cluster hiring initiative they would like to be considered for. Review of applications will start on November 1, 2023 and will continue on a rolling basis until positions are filled.

BU is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

BU conducts a background check on all final candidates for certain faculty and staff positions. The background check includes contacting the final candidate’s current and previous employer(s) to ask whether, in the last seven years, there has been a substantiated finding of misconduct violating that employer’s applicable sexual misconduct policies. To implement this process, the University requires a final candidate to complete and sign the form entitled “Authorization to Release Information” after execution of an offer letter.