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Assistant Professor of Data Visualization - Fixed Term Appointment

The New School
Full-time
On-site
United States

Assistant Professor of Data Visualization

Fixed Term Appointment

School of Art, Media, and Technology

START DATE: July 2024

Parsons School of Design, a college of The New School, invites candidates for a one-year fixed-term faculty of Data Visualization at the rank of Assistant Professor in the School of Art, Media, and Technology.

Parsons’ MS Data Visualization students bring together visual design, computer science, statistical analysis, and ethical considerations of data representation. The program responds to the increased demand for experts who can turn data into insight. Parsons offers an MS in Data Visualization, as well as electives open to other students across Parsons and the New School.

We seek candidates with an active practice in Data Visualization and Machine Learning, with a specific focus on teaching Machine Learning and Data Structures to students from a range of technical backgrounds. Candidates should have knowledge across contemporary approaches, concepts, techniques, and critical issues as they pertain to Data Visualization, Visual Culture, and Machine Learning. Candidates must engage the cultural frameworks within which this work is situated and connect their own practice to debates and histories within their discipline. Candidates should have experience in Data Visualization and Machine Learning to students with a diversity of skills, backgrounds, and interests. We are particularly interested in candidates whose professional work and teaching prepare them to teach a core Machine Learning course, open to all graduate students, in which students will consider classification, regression, clustering, and association models to predict and describe, using supervised and unsupervised learning tools and methods, as well as other courses in Data Visualization.

The New School is strongly committed to diversity and inclusion in the workplace and particularly seeks applications from members of underrepresented groups, as well as candidates who share this commitment.

RESPONSIBILITIES

The Assistant Professor may be expected to teach both undergraduate and graduate courses, and students from a variety of disciplines across Parsons and The New School. For a fixed term appointment, the teaching load is 6 courses per year or the equivalent, across Data Visualization and related elective courses.Β 

The faculty member will hold regular office hours, and participate in co-curricular activities on a regular basis, such as critiques, review panels and thesis supervision. They will contribute to the program community by way of committee assignments, project or end of year event coordination, and working groups, and/or advise students. They may be called upon to represent the program for external events related to recruitment and admissions.

The faculty member will be an active member of school-wide, college and university committees as part of university citizenship. They will work with the school dean, associate dean, program directors, and the technical staff to implement support for curricula, policies, and facility designs that are responsive to and respectful of diverse users. The faculty member must actively contribute in maintaining an educationally diverse and creative community in all its activities and programs.

This faculty position is a one-year fixed term appointment (FTA) with no presumption of renewal. The terms and conditions of this faculty appointment are governed by The New School policies set forth in the The New School Full-Time Faculty Handbook. All hiring is subject to Provost budgetary approval.

MINIMUM QUALIFICATIONS

  • A Masters degree in Data Visualization, Data Science, Information Design, Data Analytics and Engineering, AI , a related field, or equivalent experience.Β 

  • At least one year teaching experience at university level.Β 

  • Experience in higher education or other educational settings, with a working knowledge of planning curricula or learning outcomes and working with students.

  • Strong interest in working collaboratively across Parsons and the University.

  • Ability to work effectively as part of a team, as a collaborator or lead.

  • Excellent interpersonal and organizational skills, including the ability to meet deadlines, communicate and motivate effectively.

  • Evidence of a commitment to educational equity in teaching, research, scholarship, creative practice, or other experience.

  • Evidence of cross-cultural communication skills in teaching, research, scholarship, 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, creative practice, or other experience.

  • Evidence of a commitment to diversity and inclusion (in classroom, campus, community) in teaching, research, scholarship, creative practice, or other experience.

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PREFERRRED QUALIFICATIONS

  • Experience teaching English language learners, students from low income backgrounds, and first generation college students.Β 

  • Scholarship that addresses diversity and inclusion.

  • University-level teaching that includes a combination of core requirements, studios, seminars and technical labs, at the undergraduate and graduate levels.

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WORK MODALITY

On-Campus Position: Faculty are expected to work on-campus due to the nature of the work in accordance with the University policies as set forth in the Full-Time Faculty Handbook.

SALARY

$75,000

APPLICATION DEADLINE

Applications will be accepted for a two-week period, and remain open until filled.

SPECIAL INSTRUCTIONS TO APPLICANTS

Applicants may be contacted at the discretion of the search committee for additional materials, such as digital portfolio/work/writing samples.Β Β Β 

Please visit www.newschool.edu/parsons/academics for a full list of programs.

We look forward to receiving your application!