- Supervisory Organization: Institute for Preservation of Cultural Heritage – Lens Media lab
- University Job Title: Conservation Research Specialist 4, Lens Media
- Time Type: Full-time
- Duration Type: Fixed
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.
- Assemble, specify, design, and construct hardware for measuring the physical and chemical properties of works of art and artifacts.
- Perform image processing, algorithm development, data visualization, and the application of data science principles (statistics, clustering, and pattern recognition) to structured and unstructured datasets.
- Assist in the creation of software interfaces and computing platforms to promote humanities-based research.
- May manage projects and/or serve as a team leader; may supervise or mentor fellows, interns and/or students.
- Coordinates the involvement of Yale or external specialists in select projects and utilizes on-campus user facilities as necessary.
- May organize workshops, prepare and deliver professional presentations, write papers for submission to peer-reviewed journals.
- Performs some instrument and laboratory maintenance.
- May perform other duties as assigned.
Required Education and Experience
Master’s Degree in a related and four years’ experience or an equivalent combination of education and experience.
1. Ability to specify, design, and develop hardware for measuring physical and mechanical properties of works of art and artifacts, with an emphasis on imaging techniques and low power sensor networks.
2. Knowledge of the theory and practice of areas such as: image processing, algorithm interpretation and design, machine learning techniques, signal processing, and data science.
3. Demonstrated ability to assess large datasets using statistical and visualization tools. Demonstrated computer coding and software development capabilities.
4. Excellent written and verbal skills, including English language fluency. Demonstrated knowledge of/interest in working with art and artifacts, including photographs. Demonstrated ability to work collegially with a wide range of staff, faculty, and student from the sciences and the humanities.
5. Demonstrated project management skills with a proven track record of completion on time. Well-developed organizational, research and analytical skills.
Preferred Education, Experience and Skills: MS in computer science or a related field (e.g. signal and image processing, data science).
Check Requirements: All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. Click here for additional information on the background check requirements and process.
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