Massachusetts, USA
Massachusetts Institute of Technology
Mellon Postdoctoral Fellowship in the Digital Humanities

MIT’s School of Humanities, Arts, and Social Sciences announces a one-year Mellon Postdoctoral Fellowship in the Digital Humanities to begin September 1, 2020.

Founded in 2018 with a $1.3 million grant from the Andrew W. Mellon Foundation, the MIT Programs in Digital Humanities (https://digitalhumanities.mit.edu) aim to advance computational methods and digital approaches to humanistic inquiry through code, communication, and community. Taking advantage of MIT’s rich STEM expertise, the DH lab is centered on a diverse group of undergraduate research associates (over 70% female and 35% underrepresented minorities) who work closely with postdoctoral fellows, graduate students, faculty, and staff on groundbreaking research and teaching projects in the humanities and humanistic social sciences.


We seek a dynamic teacher-scholar who complements existing research and teaching excellence in the lab and SHASS. Applicants for the 2020–21 fellowship are welcomed from the following areas:

> African American Studies
> History
> Linguistics
> Musicology and Music Theory
> Philosophy
> Theater and Performance Studies

This position is the equivalent of a half-time teaching load. Fellows are expected to divide their time equally between pursuing their own research projects and supporting the work of the lab. Fellows will also be active members of our intellectual community, invited to present on their research during the tenure of their fellowship and to attend other lab-hosted events.


> Ph.D. in any of the relevant humanities disciplines or a related field: African American Studies, History, Linguistics, Music, Philosophy, or Theater and Performance Studies.
> Prior experience uniting computational methods with humanistic applications is essential. Possible areas of technical interest include but are not limited to machine learning; natural language processing; computer vision and image processing; spatial humanities, mapping, and GIS; data visualization; creative computing; computational textual study and topic modeling; network analysis; digital editing; and cultural analytics.
> Experience in undergraduate teaching and demonstration of pedagogical innovation desirable.
> Excellent analytical and writing skills; experience addressing non-academic audiences welcome.
> Desire to work collaboratively and across disciplines.
> Flexibility and the capacity to learn quickly.

> Ph.D. granted between January 1, 2017 and June 30, 2020. Only candidates with degree in hand will be considered.
> Only US citizens and those with permission to work in the US are eligible.
> This position is based in Cambridge, MA but flexible homeworking will be considered for the current academic year (2020–21).

Annual salary is $70,000, plus benefits. Additional funding for research and travel may be available by application.

See the original job posting and apply online at: https://academicjobsonline.org/ajo/jobs/16438
Apply no later than July 6 for full consideration.

> Cover Letter (addressing qualifications and indicating a proposed research project to be pursued during the fellowship)
> Curriculum Vitae
> Writing Sample (excerpt from dissertation or other relevant publication of no more than 5000 words)
> Portfolio of Digital Projects (any online or computational projects or publications) - optional
> Two Reference Letters (to be submitted online, at the above site, by the reference writers)

See original job posting at: https://academicjobsonline.org/ajo/fellowship/16438


Any questions may be directed to Nicole Fountain at:
+1 (617) 324-0102
77 Massachusetts Ave.
Building 16-635
Cambridge, MA 02139

Further information about MIT’s School of Humanities, Arts, and Social Sciences can be found here: https://shass.mit.edu/ and https://digitalhumanities.mit.edu.


MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.