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West Virginia University

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2500 University Town Centre Dr, Morgantown, WV 26501, USA

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"Part-Time Lecturer - School of Mathematical and Data Science"

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Part-Time Lecturer - School of Mathematical and Data Science

The School of Mathematics and Data Science (https://mathanddata.wvu.edu/) at West Virginia University invites applications for part-time Lecturer positions to teach undergraduate courses.

Qualifications:

These positions require a master’s or doctoral degree in Mathematics or a closely related discipline and evidence of ability to teach effectively at the undergraduate level.

Applications will be accepted throughout the year and will be considered as openings arise. Salary is established on a per-course basis. While these positions are not anticipated to be benefits-eligible, individual positions may become benefits-eligible based on course load - which may vary depending on departmental need.

Please submit (a) a letter of application summarizing your teaching qualifications, (b) your curriculum vitae, and (c) contact information for two individuals who can provide letters of recommendation.

West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.

From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.

At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values — service, curiosity, respect, accountability and appreciation — unite us as Mountaineers.

Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.

West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.

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