Assistant Professor (Tenure-track)
Other
other
5 Nov 2025
Charlotte
Verified by Turrior
Content + Source + Freshness • 15 Dec 2025 • 95% confidence
70 / 100
Offer value
Position focuses on machine learning and data science application with a collaborative research atmosphere.
- Role in a prestigious institution focused on machine learning
- Potential for interdisciplinary collaboration in research
- Ambiguity in salary and funding may deter candidates
- Flexibility required for varied teaching formats
Pros
- Position available at a major university, enhancing academic credibility
- Engagement in interdisciplinary research beneficial for real-world applications
- Opportunity for impactful teaching in data science
Cons
- Lack of specificity around research funding and support
- Ambiguity in salary structure may affect candidate interest
- Expectations for teaching in multiple domains could require adaptability
Who it's for
Early to mid-career academics • Mostly in-person with opportunities for remote work
Good fit
- Professionals with a strong background in data science
- Individuals eager to impact education in machine learning fields
- Candidates interested in interdisciplinary research
Not recommended for
- Those uninterested in teaching responsibilities
- Individuals seeking strictly research roles without educational components
- Candidates lacking experience in machine learning applications
Motivation fit
Desire to innovate in data science and machine learning applicationsInterest in teaching and mentoring the next generation of data scientistsWillingness to engage in practical, community-focused research
Key skills
Proficiency in machine learning algorithmsStrong teaching and mentorship capabilitiesAbility to work in interdisciplinary teamsResearch skills with a focus on data applications
Score: 70/100 AI verified analysis
About the job
Position Number: 003234
Department: Coll of Computing&Informatics (Col)
Employment Type: Permanent - Full-time
Months Per Year: 9
Essential Duties and Responsibilities:
The qualified candidate is expected to focus on the broad area of machine learning or deep learning, particularly as it applies to domains such as business, social sciences, healthcare, or sports. Applicants who are able to address real-world challenges that intersect with organizational, behavioral, or technological systems, and go beyond algorithm development to explore social and community impacts of data-driven solutions, are of particular interest. The successful candidate will teach at both the undergraduate and graduate levels and will demonstrate a commitment to interdisciplinary research and collaboration.
Minimum Experience / Education:
UNC Charlotte gives primary consideration to the earned doctorate or terminal degree in the teaching discipline or a related discipline.
Preferred Education Skills and Experience:
Applicants must have a Ph.D. in Machine Learning or a closely related field, such as Statistics, Data Science, Computer Science, or Information Science, by the start of their appointment. Applicants should demonstrate a strong potential for high-quality scholarly publications and promise in securing external research funding. Applicants should demonstrate an interest in teaching and curriculum development in data science at both the undergraduate and graduate levels and should have experience in data science applications. Preferred applicants are those who are genuinely enthusiastic about this faculty position and are eager to contribute to the teaching and research missions of the School of Data Science at UNC Charlotte.
