[Ieee_vis_open_positions] Yale IPCH -- Lens Media Lab

[Rushmeier, Holly]

Job Title

Lens Media Lab Data Scientist



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Position Focus:

Yale's Institute for the Preservation of Cultural Heritage (IPCH), is dedicated to advancing innovative and sustainable practices in the field of heritage preservation. At the crossroads of science and art, the Institute is comprised of leading-edge conservation, research, and imaging laboratories.

A position is open in the IPCH Lens Media Lab, reporting to the Head of the Lens Media Lab (LML). The research goals of the LML are focused on the preservation and characterization of photographic materials with an emphasis on creating and interpreting large datasets gleaned from reference, archival, and museum collections. Building on this base, collaborations across disciplines in the humanities and sciences will be fostered to assemble and interpret datasets derived from a broad spectrum of cultural heritage materials. Through the development of data visualization methods, tools, and interfaces, meaning and impact of these data will be communicated to broad constituencies including scientists, conservators, art historians, and curators.

Working under the direction of the Head of the LML, the primary duty and responsibility is the pursuit of data-driven approaches for understanding art and cultural material. As envisioned, these approaches will be achieved through image and signal processing techniques used in combination with machine learning methods. The principal dataset will be derived from quantitative and qualitative measurements made from the LML's reference collection of photographic papers combined with data from prints made by important 20th century photographers held by leading collecting institutions. Other datasets, including those derived from art/artifact storage and display environments (made using low power sensors and other IoT methods) will also be contemplated.

Essential Duties

1. Working with IPCH staff, including chemists, physicists, and art conservators, help develop methods for data collection and feature extraction from works of art, artifacts, and reference specimens. 2. From this raw data, create datasets by cleaning and storing data as well as connecting to existing databases. 3. Explore datasets, identify, and extract patterns that can be used to inform humanities-based research questions, such as perception, spheres of artistic attribution, stylistic development, and attribution as well as developing improved frameworks to interpret and preserve cultural heritage. 4. Perform image processing tasks, including the development of clustering algorithms and machine learning approaches. 5. Assist in the creation of software interfaces and computing platforms to promote humanities-based research, including data visualization, and broad cross-disciplinary communication. 6. May manage projects and/or serve as a team leader; may supervise or mentor fellows, interns, and/or students. 7. Coordinates the involvement of Yale or external specialists in select projects and utilizes on-campus user facilities as necessary. 8. May organize workshops, prepare and deliver professional presentations, write papers for submission to peer-reviewed journals. 9. Perform some instrument and laboratory maintenance. 10. May perform other duties as assigned.

Required Education and Experience

Master's Degree in a related field and two years’ experience or an equivalent combination of education and experience

Required Skill/Ability 1:

Knowledge of the theory and practice of areas such as: image processing, algorithm interpretation and design, machine learning techniques, signal processing, and data science.

Required Skill/Ability 2:

Demonstrated ability to assess large datasets using statistical and visualization tools. Demonstrated computer coding and software development capabilities.

Required Skill/Ability 3:

Excellent written and verbal skills, including English language fluency. Demonstrated knowledge of/interest in working with art and artifacts, including photographs.

Required Skill/Ability 4:

Demonstrated project management skills with a proven track record of completion on time. Well-developed organizational, research and analytical skills.

Required Skill/Ability 5:

Demonstrated ability to work collegially with a wide range of staff, faculty, and student from the sciences and the humanities.

Preferred Education, Experience and Skills:

Ph.D. in Physics, Mathematics, Electrical Engineering, Computer Science, or a related field.


--
Holly Rushmeier
John C. Malone Professor of Computer Science
Yale University, PO Box 208285, New Haven, CT 06520-8285
Phone: (203)432-4091, holly at acm.org

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