TeachingResearch Postdoctoral Fellow - Data Visualization

Working Title: Teaching/Research Postdoctoral Fellow Data Visualization

State Role Title:N/A

Position Type:Instructional / Teaching Faculty

Position Status: FullTime

FLSA Status: Exempt: Not Eligible for Overtime

College/Division: College of Integrated Science and Engineering

Department: 100061 Computer Science

Pay Rate:Commensurate with Experience

Specify Range or Amount:

Is this a JMU only positionNo

Is this a grantfunded positionNo

Is this a Conflict of Interest designated positionNo

Beginning Review Date:01/19/2025

About JMU:

Mission
We are a community committed to preparing students to be educated and enlightened citizens who lead productive and meaningful lives.

Vision
To be the national model for the engaged university: engaged with ideas and the world.

Who We Are
Located in the heart of Virginias beautiful Shenandoah Valley the city of Harrisonburg is approximately 120 miles from Washington D.C. and Richmond VA. With a population of just over 53000 Harrisonburg is one of the most diverse communities in the Commonwealth of Virginia. JMU is a selective public institution with a growing national reputation for offering experiences that lead to an outstanding education and inclusive environment for students faculty and staff. The student body includes approximately 20000 undergraduate and 1900 graduate students with over 1000 fulltime instructional faculty.

JMU offers thriving programs in the liberal arts science and technology and professional disciplines at the undergraduate masters and doctoral levels. The university is committed to expanding diversity fostering equity and inclusion and supporting superlative teaching and scholarship. JMU has achieved national recognition for the high quality of its academic programs focus on maintaining strong student/faculty interaction and innovative faculty research.

General Information:

The Department of Computer Science at James Madison University (JMU) invites applications for a Teaching/Research Postdoctoral Fellowship in the area of Data Visualization. This position is a fixed term appointment at the rank of instructor. The successful candidate will join the Computer Science Department beginning August 2025 is a oneyear appointment and may be eligible to renew for a second year. The Postdoctoral Fellow will work with the Computer Science Department Academic Unit Head and will be expected to teach at least 1 course per semester.

Duties and Responsibilities:

Teaching will consist of a 11 load i.e. 1 course in the fall semester and one course in the spring semester. The courses will likely include one course required for undergraduate majors in Computer Science or Information Technology and one data visualization course. The Postdoctoral Fellow will be expected to provide innovative ideas and perspectives foster a stimulating teaching and research environment and advance knowledge within their fields.

The Postdoctoral Fellow will receive mentorship and guidance from faculty on these courses. The JMU Center for Faculty Innovation also provides a wealth of professional development opportunities throughout the year. The Postdoctoral Fellow will also participate in department activities and support interdisciplinary collaborations within the college.

In addition to teaching the Postdoctoral Fellow will assist in activities related to grant writing publications and contribute to JMUs efforts to build interdisciplinary pedagogical communities of practice. Activities will be determined in conversation with the Postdoctoral Fellow but may include organizing workshops and dissemination events at JMU participating in one or more events at partnering institutions training and mentoring undergraduate students developing data visualization platforms working on data analysis and archiving activities and broadening participation.

Qualifications:

We welcome candidates with broad Science Technology Engineering Arts and Mathematics (STEAM) training and diverse skill sets to apply. The candidate must have a PhD in hand by August 2025. Candidates should either hold a PhD in Computer Science Information Technology or a closely related field OR hold a PhD in any field in combination with strong computer programming and data visualization experience.

Candidates should demonstrate strong interests in the intersection of undergraduate teaching data visualization pedagogy coursebased undergraduate research. Grant writing and publication experience desired along with a commitment to engaged learning innovative pedagogies continuous improvement and inclusive practices in the context of undergraduate education and mentoring. The successful candidate should also demonstrate excellent communication skills both written and verbal experience working in a teambased interdisciplinary environment and research project management skills. Candidates should possess ability to work independently and collaboratively with interdisciplinary teams as well as the ability to develop research projects for publication.

Preferred scholarly qualifications include a trackrecord of external funding and productive research collaborations. Preferred experience and expertise in analytical and visual programming languages code maintenance and sharing development of complex data visualizations and demonstrated skill in one or more of the following areas: machine learning statistical analysis natural language processing and text analysis; experience designing and implementing prospective and retrospective quantitative and qualitative studies.

Additional Posting Information:

To apply please include:
A cover letter that speaks to your training experience and interests in data visualization data visualization pedagogy data visualization capacity building and broadening participation
A statement of inclusive excellence demonstrating ones commitment and activities to support an equitable workplace and scholarly environment
A CV
A teaching statement
A research statement (uploaded under Other Document #1
A writing sample (uploaded under Other Document #2
Contact information for three references

Conditions of Employment:

Employment is contingent upon the successful completion of a criminal background check.

EVerify Notice: After accepting employment new hires are required to complete an I9 form and present documentation of their identity and eligibility to work in the United States. James Madison University uses the EVerify system to confirm identity and work authorization.

EEO Statement:

James Madison University is committed to creating and supporting a diverse and inclusive work and educational community that is free of all forms of discrimination. This institution does not tolerate discrimination or harassment on the basis of age color disability gender identity or expression genetic information national origin parental status political affiliation race religion sex sexual orientation or veteran status.

We promote access inclusion and diversity for all students faculty staff constituents and programs believing that these qualities are foundational components of an outstanding education in keeping with our mission. The university is interested in candidates whose experience and qualifications support an ongoing commitment to this core quality.

Anyone having questions concerning discrimination should contact the Office for Equal Opportunity:.

Reasonable Accommodation:

If you are an individual with a disability and need assistance searching or applying for jobs please contact us ator You may also visit the JMU Human Resource Office located at 752 Ott Street Harrisonburg VA 22807 and we will be happy to assist you.