Open Positions

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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.

  1. The appointee was recently (typically five years or fewer) awarded a Ph.D. or the equivalent terminal degree in the field of consideration;
  2. 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;
  3. Strong interest and background in conducting AI research that crosses disciplinary boundaries, engages stakeholders, and makes positive societal impacts.
  4. Strong oral and written communication skills and ideally some experience with working with partners within and outside academia;
  5. Strong interpersonal and organizational skills are required.
  6. Demonstrated successful dissemination of scholarship would be an advantage.
  7. 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.

Events and Communications Coordinator

Open Date: December 4, 2024
Close Date: December 18, 2024

Description:

The Events & Communications Coordinator organizes, promotes and prepares for the Institute’s meetings and events. The position is responsible, with guidance, for taking an articulated big-picture vision of an event and using creative judgment to attend to all the details and to realize the event within a defined budget. This individual will collaborate on the development and implementation of Institute-wide communications that inform and engage the Institute’s constituencies on and off campus forwarding the Institute’s mission. This position will report to and work closely with the Associate Director of Operations and the Institute’s Program Director, Engagement and Storytelling, on special projects, events and communications for the Institute. The ideal candidate is able to work on tasks/projects with limited supervision.

Qualifications:

Bachelor’s degree in communications or related field and at least 2 years experience in a similar role.

Application Instructions:

Applicants should submit a resume and cover letter via Jobs.nd.edu portal.

Postdoctoral Research Fellow Position: Health Equity Data Lab

Open Date: October 16, 2023

Description:

The Health Equity Data Lab (HEDL) at the Lucy Family Institute for Data and Society (LFIDS) seeks highly motivated and enthusiastic candidates to fill a post-doctoral fellow position at the intersection of data and health-related topics. Of special interest to this position are topics of sexual and reproductive health measure development, maternal health measure development, health-related comparative studies, or related subjects. The post-doctoral fellow with work with Dr. Sarah Mustillo and Dr. Nitesh Chawla, as well as other faculty and staff at the HEDL and industry partners from multiple major organizations in the health care field. This fellowship presents unique opportunities for post-doctoral researchers to gain research experience, and professional development, and work on a national project with a dynamic interdisciplinary team.

Qualifications:

Open to applicants from any relevant discipline, including but not limited to social and behavioral sciences (e.g., sociology, psychology, public health, political science).

  1. Must have received a doctoral degree from an accredited educational institution by the start of appointment.
  2. Strong interest and research experience in quantitative methodology required including data management (merging datasets, recoding variables, cleaning data), and data analysis (categorical data analysis and regression), and experience managing research projects.
  3. Interest and experience in qualitative methodology, including conducting interviews and analyzing interview data, is a plus.
  4. Experience in any of the following areas is desirable: machine learning, multi-modal data integration, imbalanced learning, and responsible AI topics.
  5. Excellent oral and written communication skills are essential.
  6. Strong interpersonal and organizational skills are required.
  7. Demonstrated successful dissemination of scholarship would be an advantage.
  8. Women, minorities, and members of other underrepresented groups are especially encouraged to apply.

Application Instructions:

Applicants should send a brief description of their research interests, a curriculum vitae, anticipated start dates, and three confidential letters of recommendation via Intefolio Dossier.