Assistant/Associate Professor of Data Visualization jobs in United States
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Data Visualization Society · 4 months ago

Assistant/Associate Professor of Data Visualization

Parsons School of Design, a college of The New School, is seeking candidates for a tenure-track appointment as Assistant or Associate Professor of Data Visualization. The role involves teaching, scholarship, and university service, focusing on innovative pedagogy in data visualization and machine learning.

Non ProfitProfessional ServicesSkill AssessmentTraining

Responsibilities

The work of this faculty member is divided between (1) teaching, (2) scholarship or professional/creative practice, and (3) university service
The standard teaching load is five courses––or the equivalent––per academic year
Within their field of expertise, the faculty member will be expected to teach undergraduate, including First Year, as well as graduate courses, to majors and non-majors
They will hold regular office hours, and participate in extracurricular teaching activities such as critiques, review panels, thesis supervision, independent study, and advising
University service includes program, Parsons, and New School assignments on committees and task forces, and as program directors or associate directors with a reduced teaching load in graduate and undergraduate programs, including the undergraduate First Year
All faculty are expected to be engaged with scholarship or professional/creative practice at a level commensurate with their faculty rank

Qualification

Data VisualizationMachine LearningCreative PracticeTeaching ExperienceCurriculum DevelopmentDiversity CommitmentMentoring StudentsCollaboration Skills

Required

An MS, MFA, or alternative terminal degree, in a field related to the focus of the position, or equivalent professional or creative practice experience
Active/current professional practice or creative/critical scholarship that demonstrates significant creative and professional achievement in the domains of data visualization, data analysis, and machine learning
Candidates seeking a position at Associate level must demonstrate equivalent teaching, research/practice experience, service and successful completion of academic review
Evidence of demonstrated interest in/building the ability to mentor and support students from diverse backgrounds, to develop and nurture the individual student's abilities, and a strong commitment to progressive education. This evidence can be in a candidate's teaching, research, scholarship, professional/creative practice, or other experience
Strong interest in working collaboratively across Parsons and the University, and have a record of working well with people from diverse cultural backgrounds, professional training, and aesthetic sensibilities
Ability to work effectively as part of a team, as a collaborator or lead
Evidence of a commitment to diversity and inclusion (in classroom, campus, community) in teaching, research, scholarship, professional/creative practice, or other experience
Evidence of demonstrated interest in/building the ability to mentor and support students from diverse backgrounds, to develop and nurture the individual student's abilities, and a strong commitment to progressive education. This evidence can be in a candidate's teaching, research, scholarship, professional/creative practice, or other experience

Preferred

Experience teaching at college, university, community-based, and/or secondary education level with evidence of engagement with course and syllabus development/planning
Experience in higher education academic setting, with a working knowledge of curriculum development, student support, and management
Experience teaching English language learners, students from low income backgrounds, and first generation college students
University-level teaching that includes a combination of studios, seminars, and tutorials, at the undergraduate and graduate levels
Experience and a vision on how to contribute to administrative service and program leadership

Company

Data Visualization Society

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Data Visualization Society is a non-profit organization that aims to collect and develop data visualization skills for the community.

Funding

Current Stage
Early Stage
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