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Open-rank Research Professor (non tenure-track) in Computer Science with Focus on AI/LLM
Open Date: July 24, 2024
Description:
The Lucy Family Institute for Data & Society at the University of Notre Dame seeks an open-rank research professor (non tenure-track) with strong expertise and experience in AI, especially in large language models (LLMs), their responsible and inclusive use for a variety of use-cases. The research faculty will be working closely with Prof. Nitesh Chawla (Director of the Institute). The ideal candidate would have evidence of excellence in research as demonstrated by research publications in high impact venues and/or significant practical experience in industry that demonstrates development and deployment of technologies at scale. The ideal candidate would have also demonstrated an interest in interdisciplinary work, as evidenced through projects or research publications. We are especially interested in candidates whose work is aligned with the mission of the Lucy Family Institute, and want to develop AI innovations that have the potential for an inclusive societal impact.
Candidates with the following interests are especially encouraged to apply:
- Natural Language Processing, particularly Large Language Models (LLM)
- Intersection of LLM with topics such as evaluation, fairness, explainability/interpretability, factuality, and governance
- LLM compression and continual learning
- Deployment and use of LLMs in real-world applications, particularly for scientific discovery or healthcare
- Generative AI models, especially on low-resource data and compute resources
- Knowledge graphs
Qualifications:
- Requires a PhD in Computer Science or related discipline with a track record of publications in NLP/LLM.
- Evidence of interdisciplinary research through scholarly publications or translational / implementation science projects.
- Experience with industry-facing projects during or after PhD.
- Experience and interest in working with a diverse group of students, faculty, and staff, and the ability to contribute to an inclusive climate.
- Strong team management skills.
- Experience or demonstrated interest in pursuing competitive funding (desirable)
Application Instructions:
Please submit all required application materials via Interfolio
Postdoctoral Research Fellow Position: Social Determinants of Health and Racial Disparities in Cancer
Open Date: December 12, 2023
Description:
The Health Equity Data Lab (HEDL) at the Lucy Family Institute for Data and Society (LFIDS) seeks highly motivated and enthusiastic candidates for a Resident Scholar Postdoctoral Fellow in the area of racial disparities and social determinants of health in cancer incidence and outcomes. This exciting interdisciplinary project lies at the convergence of network science and bioinformatics, and is led and managed by two PIs who are experts in their respective fields: Prof. Meenal Datta in the College of Engineering (cancer biology) and Prof. Margaret Traeger in the Mendoza College of Business (network science). This institute-supported project centers around collection and evaluation of social, health, and biological data to identify actionable paths forward to reduce cancer burden and improve survivorship in the nation’s most vulnerable communities.
Qualifications:
Successful candidate must have the following qualifications:
- PhD or equivalent in Network Science, Data Science, Bioinformatics, Sociology, Biology, or a similar field.
- Experience in robust data science techniques (e.g., with R, Python)
Additional Qualifications:
- Candidates with expertise in social determinants of health and/or racial disparities in human health and disease will be viewed favorably.
- Experience in machine learning and/or multi-modal data integration is desirable.
- 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 the names of at least three references 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.
Research Professor at the Intersection of Health Disparities, Public Health and Data Science
Open Date: December 01, 2022
Description:
The Lucy Family Institute for Data & Society and the Department of Psychology at the University of Notre Dame seek a full-time research professor (open-rank, non-tenure track) for a research program aimed at reducing physical and mental health disparities. The successful candidate will have strong training in socio-behavioral sciences, and bring a combination of skills in data science, mixed methods, social and structural determinants of health, and knowledge of physical and mental health disparities to initiate a program of research aimed at improving implementation and effectiveness of empirically supported prevention strategies. This is a unique collaboration between the Lucy Family Institute for Data & Society, the College of Arts and Letters (Suicide Prevention Initiative), and the St. Joseph County Department of Health. The Lucy Family Institute has also recently launched Health Data Equity Lab, and this candidate will play an important role in developing the research foci of the Lab.
The research professor will work closely with interdisciplinary faculty and research staff at the University of Notre Dame, including but not limited to Lucy Family Institute and Suicide Prevention Initiative, and with the County health officers and staff. This will be a joint faculty appointment between Lucy Family Institute and Department of Psychology, with the Institute being the primary home.
The County-City office buildings are two miles apart in South Bend—a burgeoning community with high quality of life and low cost of living. We are only two hours to Chicago by train and less by car. The population of St. Joseph County is over 270,000, distributed across both urban and rural communities.
The University of Notre Dame prioritizes diversity, equity, and inclusion as a core value. We create inclusive working and educational environments that are enriched by cultural diversity and individual differences of all kinds. Diversity and inclusion enhance the wellbeing of faculty, students, staff, and the broader communities we serve. Applicants are expected to value and cultivate diversity in research and in hiring/recruiting within the area.
This is at least a three-year position with opportunity for promotion and renewal.
Applications will be screened by a search committee composed of representative faculty.
Qualifications:
Ph.D., MD, or an equivalent doctoral-level degree is required.
Competitive candidates will demonstrate existing records of extramural funding, and expertise in data science and mixed methods social science, with a focused interest in addressing health inequities and disparities. Opportunities to build and pursue programs of research in specific physical and mental health disparities are broad.
Application Instructions:
Qualified candidates are encouraged to apply by submitting: 1) a cover letter, 2) curriculum vitae, 3) list of identified referees for potential letters of reference through the Interfolio/Notre Dame online application system, and 4) DEI statement
Queries can/may be directed to Nitesh Chawla
The University is using Interfolio’s Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.