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New York University ECLE - Lucas - PiLa-CS Postdoctoral Associate in United States

Participating in Literacies and Computer Science (PiLa-CS) -- a NYC-based research practice partnership housed at New York University and the City University of New York -- seeks a Postdoctoral Associate to work on a Lucas Foundation-funded project. This project establishes a collaboratory between PiLa-CS and a University of California - Berkeley initiative called Writing Data Stories (WDS). Both projects focus on promoting equity in computing education at the middle school level, with a focus on Latinx bi/multilingual students in formal school settings. Both projects also center student voice using digital storytelling and expression, both foster research-practice partnerships with teachers, and use accessible software platforms with multilingual support.

Through collaboration, we will explore how to scale and disseminate curricular approaches that build on minoritized students’ diverse language and cultural practices. Research questions include: What does it mean to scale or disseminate approaches that are tailored to the students and communities in particular school contexts? What about these theories and associated approaches can be “packaged,” easily communicated, and shared across educators, and what requires careful context-specific adaptation to remain truly equitable? How can we develop capacity and resources at the university and classroom levels that allow equity-oriented, project-based approaches to computational and other new literacies to thrive in various school settings?

Roles and Responsibilities

The Postdoctoral Associate would work at NYU collaboratively with and across the PiLa-CS and the WDS teams to establish and co-facilitate generative routines and structures for collaboration, including around the following activities:

  • joint analysis of classroom enactment data, student work, curriculum artifacts, and professional learning materials

  • synthesis and deepening of our theoretical articulations

  • distilling out of model instructional activities, examples of classroom practice, and design principles for introducing computing and data science to multilingual and other marginalized populations

  • co-authoring theory briefs and instructional design toolkits that translate principles into actionable resources for teachers

  • community building and joint study among a larger group of researchers interested in more equitable and cross-disciplinary approaches to computing and data science education.

The Postdoctoral Associate will have a counterpart at University of California - Berkeley with whom they will share this coordination and thought-leadership role.

Secondary responsibilities would include supporting with day-to-day operations of the PiLa-CS project, including designing/facilitating teacher professional development workshops, supporting teachers with curriculum design for bi/multilingual learners, and some administrative tasks (undergraduate intern management, project management). In addition to conducting research and publishing on the research questions set out by the project, the Postdoctoral Associate will be encouraged to continue their own research and publishing agenda.

The postdoctoral researcher’s development will be enhanced through a program of structured mentoring activities to provide the skills, knowledge and experience to prepare the postdoctoral researcher to excel in their career path. These will be accomplished through providing leadership opportunities, career planning / goal-setting assistance, and a network of support to learn a number of career skills such as writing grant proposals, writing articles for publication, CV and portfolio development.

Supervisors. The postdoctoral associate will be mentored by the project team including Dr. Chris Hoadley (NYU), Dr. Sara Vogel (Bank Street), Dr. Jasmine Ma (NYU), and Dr. Laura Ascenzi-Moreno (Brooklyn College).

Location. Most cross-project team meetings will be held virtually. The Postdoctoral Associate will be headquartered at NYU’s Downtown Brooklyn Campus, and be expected to attend in-person PiLa-CS project team meetings, classroom visits, and other in-person activities.

Duration. The postdoc position will be 1-2 years.

Required qualifications include:

  • Doctorate in learning sciences, education, or related field

  • An equity-based orientation that values the language and cultural practices of all students, multilingual learners of color in particular

  • Prior background in either computer science education, educational equity, or multilingual education, or related areas

Desirable qualifications include:

  • Have or be able to get NYC DOE approval to work in school settings (https://infohub.nyced.org/docs/default-source/default-document-library/fp-challenge-info.pdf) (this includes criminal background check and fingerprinting)

  • Familiarity with the theoretical constructs guiding both projects: translanguaging, syncretic literacies

  • Ability to review data in both English and Spanish may be helpful. Speakers of other languages are also welcome to apply.

We can hire for this position beginning immediately but intend to fill it by January 2022 presuming availability of the successful candidate. We will begin reviewing applications on Nov. 1 and will review them on a rolling basis until the position is filled.

Submit a cover letter and include your graduation date (prior or anticipated), CV, and contact information for 2-3 people willing to serve as references, via Interfolio.

Interested candidates with questions about the position should email Professor Chris Hoadley at ch97@nyu.edu.

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NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.

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New York University requires that all community members (students and employees) be in compliance with NYU’s COVID vaccination policy for the 2021-2022 academic year. This offer of employment is contingent upon compliance with the University's policy regarding the COVID-19 vaccination and, in order to commence employment, requires a University approved upload of a vaccination record OR a University approved medical/religious exemption. Those who receive a conditional offer of employment on or after August 1, 2021 are required to upload a valid vaccination record or they must obtain an appropriate medical or religious exemption before they can commence employment at their US-based NYU work location

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