Assistant Professor, Computer Science – Artificial Intelligence/Machine Learning (Tenure-Track)

NLP PEOPLE

Youngstown (OH)

On-site

USD 70,000 - 100,000

Full time

14 days+

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Job summary

A prominent student-centered university in Ohio is seeking a faculty member to teach undergraduate and graduate courses with a focus on machine learning and its applications. The role includes conducting research, securing funding, and contributing to curricular development. Candidates must have a Ph.D. in a relevant field and are preferred to have teaching experience at the college level. The position typically involves Monday to Friday work schedule with some evening and weekend obligations.

Qualifications

  • Must be currently authorized to work in the United States on a full-time basis.
  • Experience teaching at the college level preferred.
  • Research and teaching experience in machine learning and artificial intelligence.

Responsibilities

  • Teaches undergraduate and graduate courses focusing on machine learning and applications.
  • Conducts research and seeks external funding for projects.
  • Plans and organizes feedback to promote student success.

Skills

Machine Learning
Artificial Intelligence
Computer Graphics
Cybersecurity
Networking

Education

Ph.D. in Computer Science, Computer Engineering, or closely related field

Job description

Teaches undergraduate and graduate courses with a focus in machine learning and its applications in artificial intelligence, NLM, GenAI, computer graphics, networking, cybersecurity, IoT, robotics, HCI, databases, software engineering, etc. in The School of Computer Science, Information, and Engineering Technology. Conducts research and produces scholarship in candidate’s area of expertise. Seeks and secures external funding. Contributes to programmatic improvement, curricular development, and assessment efforts at both the undergraduate and graduate levels. Establishes interdisciplinary collaborations across the University or with external organizations and performs service to the University.

Plans, organizes, teaches, and provides feedback to promote and direct student success. Responds to students in a timely manner. Communicates with students, departments, and university officials via university provided tools and resources.

An Institution of Opportunity: YSU inspires individuals, enhances futures, and enriches lives.

As a student-centered university, Youngstown State University’s mission is to provide innovative lifelong learning opportunities that will inspire individuals, enhance futures and enrich lives. YSU inspires individuals by cultivating a curiosity for life‑long learning; enhances the futures of our students by empowering them to discover, disseminate and apply their knowledge; and enriches the region by fostering collaboration and the advancement of civic, scientific, and technological development. YSU’s culture of enrichment flourishes in our intellectually diverse, accessible, and quality education.

Work Schedule: Typically, Monday through Friday, including some evenings, and the possibility of some weekend days.

Required Certifications, Training, and/or Licensures: None.

Sponsorship and/or Work Authorization Status: Must be currently authorized to work in the United States on a full‑time basis.

Minimum Qualifications: A Ph.D. in Computer Science, Computer Engineering, Machine Learning, or a closely related field (or an ABD candidate with a Ph.D. conferred by the time of appointment); and must be currently authorized to work in the United States on a full‑time basis.

Preferred Qualifications: Experience teaching at the college level. Research productivity/potential for sustained scholarly achievement. Research and teaching experience in the following or closely related areas: machine learning, artificial intelligence, and computer graphics.

Company

Youngstown State University

Qualifications
Language requirements
Specific requirements
Educational level
Level of experience (years)

Senior (5+ years of experience)

Tagged as
  • Academia
  • Machine Learning
  • NLP
  • United States
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