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Assistant Research Professor, AI for Social Good / Ethical AI / Inclusive AI
Open Date: November 12, 2023
Deadline: December 31, 2023 at 11:59 pm ET
Description:
The Lucy Family Institute for Data & Society at the University of Notre Dame seeks an assistant-level research professor (non-tenure-track) specifically with strong expertise and experience in AI for Social Good, Responsible AI, Inclusive AI, and AI Ethics. The research faculty will be working closely with Prof. Nitesh Chawla, Director of the Institute, the Institute faculty, staff and students, and the broader Notre Dame community. The ideal candidate would have evidence of excellence in research and scholarship. The ideal candidate would have also demonstrated an interest in interdisciplinary work, as evidenced through projects or research publications. Preference will be given to candidates with expertise in building and deploying inclusive AI research for demonstrable social impact, and also experience in convening with international organizations.
Candidates with experience and interest in working with a diverse group of students, faculty, and staff and the ability to contribute to an inclusive climate are particularly encouraged to apply. We are especially interested in scholars who come from an interdisciplinary body of education and experience.
Qualifications:
- Requires a PhD in with expertise in Responsible AI / AI Ethics / Inclusive AI or related disciplines with a track record of experience beyond doctoral studies in AI for Social Good / Inclusive AI
- Evidence of interdisciplinary research through scholarly publications or translational / implementation science projects.
- Strong team management skills.
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.
Post-Doctoral Researcher in Leveraging Machine Learning for Materials Discovery
Open Date: November 10, 2023
Description:
We are currently recruiting a dedicated full-time postdoctoral researcher to work on a “Leveraging Machine Learning for Materials Discovery” project, focusing on molecular simulations of soft materials (e.g., polymers, liquids) and novel machine learning techniques for property prediction and material design/optimization. The primary objective is to generate data for soft materials from simulations and develop machine learning models based on the data. The postdoc will be directly hired by the Lucy Family Institute’s initiative on AI and materials. The position is for a one-year term, renewable for one more year, pending performance review. 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. While Profs. Luo and Jiang will serve as the primary advisors, the postdoc will have opportunities to interact with multiple faculty experts in AI and experiments at Notre Dame. More information about supervising professors is available here:
Prof. Tengfei Luo’s research lab: Mönster Lab
Prof. Meng Jiang’s research lab: DM2 Lab
Qualifications:
- PhD in Engineering, Chemistry, or a related discipline; ability to work independently and in teams.
- The following research expertise is required or highly desired preferred:
- Specialty 1 (required): Molecular simulations of soft materials.
- Specialty 2 (required): Proficiency in Python coding.
- Specialty 3 (highly desired): Experience in machine learning techniques, such as neural networks, Bayesian learning, and uncertainty quantification.
- Specialty 4 (highly desired): Experience in database and web tool building.
- Requires a PhD in with expertise in Responsible AI / AI Ethics / Inclusive AI or related disciplines with a track record of experience beyond doctoral studies in AI for Social Good / Inclusive AI
- Evidence of interdisciplinary research through scholarly publications or translational / implementation science projects.
- Strong team management skills.
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.
Postdoctoral Research Fellow Position: Health Equity Data Lab
Open Date: October 16th, 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 several Resident Scholar Postdoctoral Fellow positions. Launched less than a year ago, the HEDL at the Lucy Family Institute is working to advance interdisciplinary research and translation at the intersection of health equity and data science / AI, identified through a collaborative process.
The vision of HEDL is to become the pre-eminent convening center of discussions, problem scoping, and solutions on health equity data and responsible AI for health & wellbeing. Post-doctoral research associates will play a critical role in working with the Notre Dame community and the industry to develop novel, groundbreaking research that helps execute this vision, supporting ongoing research projects and data analysis aimed at uncovering and addressing health disparities and investigating the role of multiple social determinants of health in population well-being.
There are several possible areas of research for interested candidates:
1. Maternal Health
Working under the guidance of the Health Equity Data Lab Director and faculty lead Prof. Santosh Kumar, the postdoctoral fellow will extensively work on an impact evaluation project of maternal health and nutrition intervention in the state of Indiana. The fellow will contribute to new and ongoing research activities, including formulation and execution of all stages of research. You will also participate in collecting, managing, and analyzing data, generating reports, and presenting key findings from the research work.
2. Health Equity-Specific Pillars:
- Precision Social Determinants of Health (SDOH)
- Health Equity Data Index
- Beyond Human Resources – the health and well-being of communities
- The Health Workforce of the Future
Under each of these provocations are research projects that are supported by Notre Dame’s academic community and partner industries. All current and future projects have the potential to make a large impact in the health equity data field.
Qualifications:
Successful candidates must have the following qualifications:
1. Ph.D. in a relevant field (e.g., Economics, public health, Public Policy, epidemiology, statistics, global health) with strong quantitative and writing skills.
2. Expertise in applied microeconomics methods and research design and data analysis
3. Experience in designing and conducting empirical research in nutrition, maternal child health, public health, and social determinants of health.
4. Demonstrated experience in qualitative or quantitative research skills, including data analysis and interpretation, excellent written and oral communication skills, and ability to work independently and with interdisciplinary collaborators.
5. Experience in causal analysis, spatial analysis ArcGIS, QGIS, qualitative analysis software (NVivo, Atlas), and programming languages (e.g. R, Python, Stata). Substantial experience with randomized controlled trials and/or machine learning is strongly preferred.
6. Excellent organizational and project management skills with attention to detail; ability to work in a diverse team environment that includes both academia and health and business industry teams; commitment to promoting health equity and addressing disparities in population health.
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.
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).
- Must have received a doctoral degree from an accredited educational institution by the start of appointment.
- 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.
- Interest and experience in qualitative methodology, including conducting interviews and analyzing interview data, is a plus.
- Experience in any of the following areas is desirable: machine learning, multi-modal data integration, imbalanced learning, and responsible AI topics.
- Excellent oral and written communication skills are essential.
- 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 brief description of their research interests, a curriculum vitae, anticipated start dates, and three confidential letters of recommendation via Intefolio Dossier.