Open Rank Faculty
Other
other
11 Oct 2025
Chapel Hill
Verified by Turrior
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
83 / 100
Offer value
Strong value proposition due to the growth-oriented initiative, university backing, and focus on societal impact in data science.
- Joining a visionary faculty in data science
- Focus on ethical and social implications
- Innovative research opportunities
Pros
- Engagement in a new interdisciplinary academic program
- Focus on ethical implications of data science
- Diverse research areas contributing to social good
Cons
- Vague compensation specifics may lead to hesitance
- High expectations can generate stress related to output
Who it's for
Mid to Senior • On-Site in North Carolina
Good fit
- Data scientists passionate about societal impact
- Established researchers in interdisciplinary fields
- Academics who value ethical considerations in tech
Not recommended for
- Newcomers to the field without research experience
- Individuals reluctant to engage with social topics
- Candidates preferring non-collaborative roles
Motivation fit
Desire to lead impactful research in data scienceInterest in social issues related to data useAspirations for a collaborative academic environment
Key skills
Expertise in data science methodologiesEffective communication of research outcomesUnderstanding ethical implications in tech applications
Score: 83/100 AI verified analysis
About the job
Employment Type: Permanent Faculty
Vacancy ID: FAC0005689
Position Summary/Description:
The School of Data Science and Society ( SDSS ) at UNC -Chapel Hill is excited to announce the fourth year of a strategic open-rank tenure-track faculty hiring initiative. This initiative aims to enhance research and innovation in the rapidly evolving fields of imaging, cancer, data science foundations, physical and biological sciences, environmental science, data science policy and law, social sciences, and the societal impact of data science. All faculty ranks will be considered. This initiative seeks to attract exceptional researchers working within or across the following SDSS research pillars:
Data: Techniques for collecting, storing, disseminating, and translating data into actionable insights.
Algorithms and Models: Computational and statistical tools that empower researchers and stakeholders to discover, create, analyze, present, synthesize, and utilize data.
Applications: Innovative and effective uses of data and models to advance interdisciplinary knowledge and address pressing social issues.
Social Impact: Examination of unintended consequences and ethical questions arising from using data to tackle society's most pressing challenges.
The School of Data Science and Society is looking for experts excelling in AI methodologies, machine learning, data science, data security, explainable and interpretable AI, and computational analysis, with strong domain expertise in areas requiring data science applications including brain, neural dynamics, and imaging. Researchers focusing on the ethical implications of data science, including data privacy, algorithmic bias, informed consent, and AI model transparency, are also encouraged to apply. UNC -Chapel Hill's interdisciplinary approach to data science research will foster the development of innovative applications across various fields. Through collaboration among faculty, students, and external partners, the School of Data Science and Society aims to bridge the gap between academia, industry, and community groups, translating research discoveries into tangible societal benefits.
Consideration of applications will begin on October 1, 2025, and we will continue accepting applications until the position closes on January 9, 2026. The positions will be effective July 1, 2026.
Data: Techniques for collecting, storing, disseminating, and translating data into actionable insights.
Algorithms and Models: Computational and statistical tools that empower researchers and stakeholders to discover, create, analyze, present, synthesize, and utilize data.
Applications: Innovative and effective uses of data and models to advance interdisciplinary knowledge and address pressing social issues.
Social Impact: Examination of unintended consequences and ethical questions arising from using data to tackle society's most pressing challenges.
The School of Data Science and Society is looking for experts excelling in AI methodologies, machine learning, data science, data security, explainable and interpretable AI, and computational analysis, with strong domain expertise in areas requiring data science applications including brain, neural dynamics, and imaging. Researchers focusing on the ethical implications of data science, including data privacy, algorithmic bias, informed consent, and AI model transparency, are also encouraged to apply. UNC -Chapel Hill's interdisciplinary approach to data science research will foster the development of innovative applications across various fields. Through collaboration among faculty, students, and external partners, the School of Data Science and Society aims to bridge the gap between academia, industry, and community groups, translating research discoveries into tangible societal benefits.
Consideration of applications will begin on October 1, 2025, and we will continue accepting applications until the position closes on January 9, 2026. The positions will be effective July 1, 2026.
