What are the responsibilities and job description for the Open Rank Faculty position at University of North Carolina at Chapel Hill?
Posting Information
Department
School of Data Sci and Society - 397100
Posting Open Date
11/13/2023
Application Deadline
Open Until Filled
Yes
Position Type
Permanent Faculty
Working Title
Open Rank Faculty
Appointment Type
Open Rank
Vacancy ID
FAC0004839
Full-time/Part-time
Full-Time Permanent
Hours per week
40
FTE
1
Position Location
North Carolina, US
Hiring Range
Proposed Start Date
07/01/2024
Position Information
Be a Tar Heel!
Primary Purpose of Organizational Unit
In 2022, UNC Chapel Hill launched the School of Data Science and Society (SDSS), a new school devoted to data science teaching, research, scholarship, service, and creativity. The SDSS vision is to be a leader in shaping the field of data science through an interdisciplinary and rigorous grounding in theory and methods with a human centric approach to the entire data life cycle.
The mission of SDSS is to empower a diverse community of faculty conducting research in the fundamentals and/or the applications of data science. The school is training undergraduate, graduate, and professional students to be the next generation of data science leaders with the knowledge and skills to thrive in this data-driven world. The SDSS will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to advancing the public good with human-centric and ethical applications.
The core elements of the SDSS include porous borders – leveraging our low-walled collaborative Carolina culture to solve major societal problems. Interdisciplinary research clusters that cross disciplines and school boundaries are a vital element of the school. The SDSS is focused on students and education – the emphasis is not just on data science majors but on all students becoming data literate. The school’s culture has an open and transparent structure, governance, and business model.
The mission of SDSS is to empower a diverse community of faculty conducting research in the fundamentals and/or the applications of data science. The school is training undergraduate, graduate, and professional students to be the next generation of data science leaders with the knowledge and skills to thrive in this data-driven world. The SDSS will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to advancing the public good with human-centric and ethical applications.
The core elements of the SDSS include porous borders – leveraging our low-walled collaborative Carolina culture to solve major societal problems. Interdisciplinary research clusters that cross disciplines and school boundaries are a vital element of the school. The SDSS is focused on students and education – the emphasis is not just on data science majors but on all students becoming data literate. The school’s culture has an open and transparent structure, governance, and business model.
Position Summary
The School of Data Science and Society (SDSS) at UNC-Chapel Hill is excited to announce an open rank tenure and/or tenure-track faculty hiring initiative for several positions to bolster research and innovation in the emerging field of Data Science. While we welcome applications from all exceptional candidates whose expertise in the field relies on a human-centric approach to researching the entire data life cycle, we are particularly interested in applicants who conduct research at the intersection of the rapidly evolving fields of Artificial Intelligence (AI) and Health (broadly defined). SDSS aims at creating important ways to improve the wellbeing of individuals and communities using Data Science, and we recognize the immense potential of AI technologies in transforming health at all scales. Based on the applicant’s interests, a secondary appointment in a related UNC academic unit may be possible.
We are seeking exceptional researchers that work in or across the following of SDSS’s research pillars:
SDSS seeks a range of experts that excel in foundational areas of AI methodologies, machine learning, data science, and computational analysis, coupled with a strong background in one or more of the following disciplines: medicine, clinical research, pharmaceuticals, public health, mental health, health disparities, health administration, health informatics, electronic medical records, health policy and advocacy, health law, nutritional sciences, exercise science, health promotion, occupational health and safety, or health communications. Researchers with a focus on the ethical implications of AI in health and study areas such as data privacy, algorithmic bias, informed consent, and AI model transparency are also encouraged to apply.
Responsibilities:
1. Conduct Research: Engage in high-quality interdisciplinary research in data science and society by developing and implementing new methodologies, algorithms, and models. Identify research topics and secure external funding to support research endeavors. Publish research findings in top-tier journals and present work at national and international conferences.
2. Teach and Mentor: Teach undergraduate and graduate courses in data science, data analytics, machine learning, statistics and related areas. Mentor and supervise graduate students and provide guidance to undergraduate researchers. Contribute to curriculum development in data science programs.
3. Collaborative Engagement: Participate actively in interdisciplinary collaborations within the School of Data Science and Society, as well as with other relevant departments and research centers. Contribute to the growth and development of the school by collaborating with industry partners, professional organizations, and community stakeholders.
4. Service: Engage in service duties within the university, including committee work and administrative responsibilities. Contribute to the academic community through involvement in professional societies, reviewing manuscripts for journals, and organizing scientific events.
We are seeking exceptional researchers that work in or across the following of SDSS’s research pillars:
- Data: Methods of collection, storage, dissemination, and translation of data into actionable information
- Algorithms and Models: Computational and statistical tools to enable researchers and stakeholders to discover, create, analyze, present, synthesize, and consume data
- Applications: Sound and creative deployments of both data and models to advance interdisciplinary domains of knowledge, as well as offer solutions to pressing social problems.
- Social Impact: The study of unintended consequences and ethical questions raised by the ways in which data is used to address some of society’s most pressing issues.
SDSS seeks a range of experts that excel in foundational areas of AI methodologies, machine learning, data science, and computational analysis, coupled with a strong background in one or more of the following disciplines: medicine, clinical research, pharmaceuticals, public health, mental health, health disparities, health administration, health informatics, electronic medical records, health policy and advocacy, health law, nutritional sciences, exercise science, health promotion, occupational health and safety, or health communications. Researchers with a focus on the ethical implications of AI in health and study areas such as data privacy, algorithmic bias, informed consent, and AI model transparency are also encouraged to apply.
Responsibilities:
1. Conduct Research: Engage in high-quality interdisciplinary research in data science and society by developing and implementing new methodologies, algorithms, and models. Identify research topics and secure external funding to support research endeavors. Publish research findings in top-tier journals and present work at national and international conferences.
2. Teach and Mentor: Teach undergraduate and graduate courses in data science, data analytics, machine learning, statistics and related areas. Mentor and supervise graduate students and provide guidance to undergraduate researchers. Contribute to curriculum development in data science programs.
3. Collaborative Engagement: Participate actively in interdisciplinary collaborations within the School of Data Science and Society, as well as with other relevant departments and research centers. Contribute to the growth and development of the school by collaborating with industry partners, professional organizations, and community stakeholders.
4. Service: Engage in service duties within the university, including committee work and administrative responsibilities. Contribute to the academic community through involvement in professional societies, reviewing manuscripts for journals, and organizing scientific events.
Minimum Education and Experience Requirements
The applicants must have a Ph.D. and/or MD with expertise in artificial intelligence/machine learning, data science, computer science, statistics, or a related field that applies AI and data science techniques.
Preferred Qualifications, Competencies, and Experience
Preferred applicants will have a strong research record, evidence of interest in developing, teaching, and supervising courses at the undergraduate and graduate levels, and an aptitude in working collaboratively in interdisciplinary research. Research with a focus on data science and its applications in addressing societal challenges is preferred. Expertise in areas such as AI/machine learning, data analytics, social network analysis, or data ethics is preferred. Additionally, candidates must be able to engage with researchers, professionals, and stakeholders from diverse disciplines. A record of or the potential to secure external funding to support research projects is preferred.
Special Physical/Mental Requirements
N/A
Campus Security Authority Responsibilities
This position is designated as a Campus Security Authority in accordance with the Clery Act. This position will be required to report Clery crimes to the Clery Compliance Manager and complete annual training about reporting responsibilities.