Join our team of data science experts.
Research Program Manager
Open Date: May 15, 2026
Deadline to Apply: May 27, 2026
Description:
The role of Research Program Manager (RPM) is a highly collaborative role in an Institute that serves as an intellectual hub for Notre Dame’s students, faculty, and research scientists working with leaders from industry, government, and academia to advance data innovations and to help transform society and individual lives.
The RPM is a vital role that not only supports faculty-driven and generated proposals and grant funded research projects, they also lead all Institute programming for PhD student professional and interdisciplinary research development, including research symposia, workshops, and mentorship initiatives.
This role requires a high level of independent judgment and knowledge of the Institute’s practices for concurrently managing several complex research projects, including the implementation of grant-funded project budgets, the coordination of research teams, the supervision of student research assistants, and the design and execution of research programming for PhD students. The role also requires the candidate to collaborate with a large number of internal and external stakeholders on behalf of the Institute. The ideal candidate is able to work on tasks/projects with limited supervision. The RPM will report to the Managing Director of LFIDS.
Qualifications:
- Master’s Degree in Social Sciences, Science, or Engineering
- Five or more years of relevant work experience.
- Experience working within an academic setting.
- A commitment to the mission of LFIDS and the University of Notre Dame.
- Excellent interpersonal skills. A demonstrated ability to interact professionally and strengthen capacity among colleagues from culturally diverse backgrounds and in different project settings.
- The ability to work independently in a fast-paced, team environment. A commitment to teamwork and team excellence.
- Demonstrated experience in managing multiple tasks simultaneously with a high attention to detail and operational excellence.
- Excellent written and verbal communication skills
Preferred Qualifications:
- PhD in Social Sciences, Science, or Engineering
- PMP (Project Management Professional) or CRA (Certified Research Administrator)
- Experience managing complex data/research projects across distributed teams.
- Experience conducting workshop training and facilitation.
- Experience coordinating across multiple stakeholders on grant-funded projects.
- Experience in foundation and federal grant management.
Postdoctoral Research Fellow Position: Human-Centered Responsible AI
Open Date: December 7, 2024
Description:
The Human-Centered Responsible AI (HRAI) Lab at the Lucy Family Institute for Data and Society seeks highly motivated and enthusiastic candidates for a Postdoctoral Fellow in the area of human-centered AI, responsible AI, and human-AI interaction. The candidate will work closely with Dr. Toby Li (https://toby.li/), the Director of HRAI Lab, as well as faculty affiliates of the HRAI Lab on designing, developing, deploying, and studying interactive artificial intelligence (AI) systems to enhance human-AI collaboration, augment human intelligence, and democratize access to AI empowerment technologies in a responsible way.
The postdoc will be a residential scholar within the Lucy Family Institute office space as well as an active participant within the Lucy Postdoctoral Scholar Community to enable greater collaboration between the Institute faculty and other postdoctoral scholars who are recruited through this initiative.
For inquiries, please contact Toby Li at toby.j.li@nd.edu.
Qualifications:
Open to applicants from any relevant discipline, including sub-disciplines of computing (e.g., human-computer interaction, machine learning, natural language processing, information systems) as well as those from a relevant application domain (e.g., education, health, policy, natural and social sciences) with a strong background in designing and building responsible AI systems to address problems in the respective fields.
- The appointee was recently (typically five years or fewer) awarded a Ph.D. or the equivalent terminal degree in the field of consideration;
- Excellent research skills demonstrated by a track record of publications in high-ranking journals, conferences, and/or with leading presses or a demonstrable capacity to develop such a record;
- Strong interest and background in conducting AI research that crosses disciplinary boundaries, engages stakeholders, and makes positive societal impacts.
- Strong oral and written communication skills and ideally some experience with working with partners within and outside academia;
- Strong interpersonal and organizational skills are required.
- Demonstrated successful dissemination of scholarship would be an advantage.
- Women, minorities, and members of other underrepresented groups are especially encouraged to apply.
Application Instructions:
Applicants should send a statement of their research interests, a curriculum vitae, anticipated start dates, and 2–3 confidential letters of recommendation via Intefolio Dossier.