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Postdoctoral Research Position in Health Data Exploration & Analytics Lab (HEAL)
Open Date: July 29, 2025
Deadline: Sep 30, 2025 at 11:59 PM
Description:
The Health Data Exploration & Analytics Lab (HEAL) at the Lucy Family Institute for Data and Society seeks highly motivated and enthusiastic candidates to fill a post-doctoral research fellow or a research faculty position at the intersection of data science, AI, and health. The candidate with work with Dr. Fang Liu, Director of HEAL (https://lucyinstitute.nd.edu/centers-and-labs/health-data-exploration-analytics-lab/) and Notre Dame Collegiate Professor in the Department of Applied and Computational Mathematics and Statistics at Notre Dame (https://acms.nd.edu/people/fang-liu/ ), as well as other faculty and staff at the Institute and industry partners.
This position presents unique opportunities to gain research experience, professional development, and work on project with a dynamic interdisciplinary team.
Responsibilities:
The successful candidate will focus on the development and application of novel AI, machine learning, and statistical methods for biomedical and health data. The candidate will engage in both independent and collaborative research, driving innovative projects at the intersection of AI, machine learning, statistics, and biomedical sciences.
Qualifications:
A Ph.D. in statistics, computer science, biostatistics, mathematics, or a closely related discipline must be conferred by the time the position begins. Strong technical foundation in statistical modeling, machine learning, or AI; Proficiency in computing and programming; excellent communication and collaborative skills. A record of strong publications in peer-reviewed journals or conference proceedings is preferable.
We will begin reviewing completed applications on Sep 30, 2025 until the position is filled. Position can start immediately and no later than Jan 15, 2026. The position is funded for a year with a possibility for an extension for another year, depending on performance. Salary will commensurate with skills and experience, and the position is benefit-eligible.
Questions about the positions may be addressed to Dr. Fang Liu at fliu2@nd.edu.
Application Instructions:
Applications, including a cover letter, curriculum vitae, research statement should be submitted through the Interfolio system. Applicants should also arrange for at least three letters of recommendation to be submitted via Interfolio.
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.