Professor of Practice - Open Rank
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Job no: 533250
Work type: Teaching & Research Faculty
Senior management: College of Science
Department: Academy of Data Science
Location: Blacksburg, Virginia
Categories: Instructional / Teaching Faculty
The Virginia Tech Academy of Data Science (ADS) (https://data.science.vt.edu) invites applications for multiple Professor of Practice faculty positions at the rank of assistant, associate or full professor, depending on credentials and experience, to begin during Summer 2025 or Fall 2025. Classes begin August 25, specific starting date negotiable.
Requirements for these full-time, 12-month positions include: a doctoral or master’s degree in Statistics, Data Science, Computer Science, Mathematics, or other closely related field; a demonstrated and sustained record of achievement in the practice of data analytics or computational science in business, government, nonprofit, academic and/or research settings; and experience in leadership or management roles in such settings.
Additionally, candidates should have a demonstrated record of instruction and communication in the relevant fields. Experience teaching advanced concepts in undergraduate, graduate, and/or professional courses will be favorably considered.
The successful candidate will play a central role in the development and delivery of the Academy’s degree programs: the new Master of Science degree in Data Science (MS) and the current undergraduate (BS) degree in Computational Modeling and Data Analysis (CMDA).
Responsibilities include:
• Developing overall programmatic content and concentrations for the Academy’s degree programs informed by experience in the settings described above and in consultation with organizational leaders.
• Developing new courses in data analytics, data-driven applications, industrial applications, and communications in technical settings, with focus on online and hybrid course content for the graduate (MS) degree in Data Science
• Teaching courses in either of the degree programs depending on demand as determined by the Director of the Academy.
• Workload consisting of 90% teaching and/or research and 10% service.
• Effective engagement with external organizations in the private sector and with government agencies resulting in the definition and execution of student capstone projects for the MS and CMDA programs.
• Mentoring students in support of their capstone project activities in the MS and CMDA programs.
• Developing and nurturing relationships outside of academia that can result in internship and job placement activities for our students and partnership opportunities for the Academy as a whole.
• Advising and mentoring students in the Academy’s degree programs.
• Supporting other faculty who are seeking external funding opportunities that align with the objective of establishing Virginia Tech as a leader and innovator in the application of Data Science in support of scientific research and other application areas.
• Cooperating with the College of Science Advancement team in fostering external relationships that promote philanthropic support of the College and identify opportunities for new partnerships with the Academy.
• Maintaining knowledge of other programs and future industry needs to advise the Academy of Data Science Director and College of Science Dean on new opportunities and directions that ensure that the Virginia Tech programs are innovative and of high value.
Applicants must possess a PhD or Master's level degree in statistics, computer science, applied mathematics or a related field as applied to data science.
Applicants must have a strong background in data analytical/mathematical/statistical methods and/or computational science.
The successful candidate will have demonstrated a sustained record of achievement solving interdisciplinary problems in a business, government, or academic setting.
Excellent communication skills with the ability to build, nurture and maintain relationships with external stakeholders is essential.
A commitment to student success, broadening participation and inclusion is required.
Preference will be given to candidates who possess substantial experience in collaborative statistics and data science units in academia, business and/or government.
Team or project leadership experience in this context is advantageous.
Experience working in or with a variety of industries, organizations, and/or disciplines is strongly desired.
Experience teaching graduate, undergraduate, and/or professional students, and mentoring student projects or research experiences, will receive favorable consideration.
Prior development of in-person or on-line course materials for data science practitioners or non-traditional students is also valuable.
It is also preferred that candidates have a doctorate degree in data science, statistics, computer science, applied mathematics or related fields as applied to data science.
Exempt: Not eligible for overtime
Commensurate with experience
40 hours - exempt position
Additional Information
A complete application will include a current CV, a one page cover letter that outlines your experience and interest in the position, and a list of three professional references with their preferred contact information. Additionally, please provide a one page statement that includes an overview of your commitment to teaching, student success, broadening participation and inclusion.
The successful candidate will be required to have a criminal conviction check.
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Brandi Webb at bowens20@vt.edu during regular business hours at least 10 business days prior to the event.
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