Assistant Professor of Data Science

About the role

The Anuradha and Vikas Sinha Department of Data Science at the University of North Texas invites applications for a tenure-track Assistant Professor position in Data Science. This position is intended for candidates who seek to develop a high-impact, externally funded research program in a research-intensive (R1) environment while contributing to excellence in teaching and service.

Responsibilities

• Teach undergraduate and graduate courses in data science and closely related areas, aligned with the candidate’s research expertise and departmental needs.
• Demonstrate teaching effectiveness, mentor students, and contribute to curriculum innovation that integrates research and education.
• Establish and sustain a strong, independent research agenda, including the pursuit of external research funding from federal agencies and other sponsors, and the publication of research in high-quality, peer-reviewed venues.
• Actively mentor graduate students, including supervising master’s theses and doctoral dissertations, and engage in interdisciplinary research collaborations within the department, across the university, and with external partners.
• Contribute to departmental, college, and university service, as well as professional service appropriate to the rank.

Requirements

• An earned Ph.D. in Data Science, Computer Science, Statistics, or a closely related field from an accredited institution by the time of appointment.
• Demonstrated potential for high-quality scholarly research, as evidenced by peer-reviewed publications or strong research in progress in data science, AI or related areas.
• Demonstrated potential to establish an externally funded research program appropriate for a research-intensive (R1) institution.
• Demonstrated ability or strong potential to teach effectively at the undergraduate and graduate levels in data science or closely related areas.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with faculty, students, and interdisciplinary research teams.
• Commitment to mentoring students, including undergraduate, master’s, and doctoral students, consistent with the expectations of a research-focused department.

Qualifications

• Research expertise in Natural Language Processing (NLP) and/or Generative AI, including large language models, foundation models, prompt engineering, representation learning, or related areas.
• Potential to secure external research funding in areas related to NLP, generative AI, or AI-driven data science from federal agencies, industry, or other sponsors.
• Experience or interest in interdisciplinary research, particularly applications of NLP or generative AI in domains such as health, cybersecurity, education, social sciences, or public policy.
• Experience mentoring students or collaborating on research projects, including supervision of graduate research or participation in multi-investigator teams.

Skills

• Excellent communication and interpersonal skills.
• Ability to collaborate effectively with faculty, students, and interdisciplinary research teams.
• Strong commitment to mentoring students, including undergraduate, master’s, and doctoral students.
• Ability to establish and sustain a strong, independent research agenda.
• Experience or potential to secure external research funding.
• Interdisciplinary research expertise in areas such as Natural Language Processing (NLP) and Generative AI.

Benefits

Compensation is competitive and commensurate with the candidate’s qualifications, experience, and discipline, in accordance with university guidelines and available funding.

Pay

FTE: 1.00

Schedule

Retirement Eligibility: ORP Eligible

Benefits

For information regarding our Benefits, click here.

EEO Statement

The University of North Texas System is firmly committed to equal opportunity and does not permit – and takes actions to prevent – discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking), and retaliation on the basis of race, color, religion, national origin, sex, age, disability, genetic information, or veteran status in its application, employment practices, and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities. UNT System Administration promptly investigates complaints of discrimination, harassment, and related retaliation and takes remedial action when appropriate. System Administration also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist, or participate in a related investigation or proceeding.