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Northwestern University / Art Institute of Chicago Center For Scientific Studies in the Arts | NU-ACCESS
Postdoctoral Scholar in Data Science

 The Northwestern University/Art Institute of Chicago Center for Scientific Studies in the Arts (NU-ACCESS) is seeking to fill the position of a Postdoctoral Scholar in Data Science to undertake research in heritage science and advance applications in the visual arts.

Reporting to the Center's Senior Scientist, and working alongside a dynamic ecosystem of Northwestern postdocs, graduate and undergraduate students, visiting scholars and interns, the postdoctoral scholar will support the research agenda of the Center. The Center provides its resources, from Northwestern University and the Art Institute of Chicago, to both internal and external users via a merit-review proposal system. When awarded, external projects often entail local, national or international travel by Center research staff.

The position is funded by the Andrew Mellon Foundation grant supporting the Center, for one year potentially renewable up to a total duration of two years.

 Primary duties:

Basic Qualifications: Ph.D. in data science, physical science, or engineering. It is preferred that the candidate has ample experience working within heritage institutions as well as the application of computational methods to the study of works of art.

Salary commensurate with qualifications and experience.

Application materials consisting of a cover letter, a CV, one or two relevant publications, and the names and contact information of three references should be uploaded to this application link.  Review of applications will begin on Wednesday, November 15, 2023; however, the positions will remain open until filled.

Please reach out to Miriam Williams ( with any questions.

Northwestern University is an equal opportunity, affirmative action employer. Qualified women and minorities are encouraged to apply. It is the policy of Northwestern University not to discriminate against any individual on the basis of race, color, religion national origin, sex, sexual orientation, marital status, age, disability, citizenship, veteran status or other protected group status. Hiring is contingent upon eligibility to work in the United States.

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