Post-Doctoral Researcher, Learning Analytics Research Network (LEARN), NYU

LEARN, the Learning Analytics Research Network, is a new university-wide
research center at New York University hosted by the Steinhardt School of
Culture, Education, and Human Development. Directed by Dr. Alyssa Wise,
LEARN research combines advanced data science methods with the careful
design and implementation of novel learning approaches in order to research
how new advances in technology can promote equitable and effective
education for all. Research covers the full learning lifespan and bridges
the study of higher and lower levels and formal and informal types of
education systems through the common lens of leveraging data traces to
understand and improve learning processes. LEARN is a supportive community
of researchers working to both conduct interdisciplinary data-intensive
research and development and act as an intellectual hub for design and
analytic innovation. It is a place where radical new ideas about digital
education, data, and analytics arise, germinate, and inspire new action &
research in scholarly fields.
LEARN is looking for a talented learning analytics and/or educational data
science researcher to join our highly innovative and productive team of
faculty and graduate students as a Post-Doctoral Researcher. In this role,
you will have the opportunity to work on a broad spectrum of learning
analytics projects, both ongoing and of your own design. Specifically you
will plan and execute analyses of learning data including log-files,
assessment data, and written student artifacts using machine learning,
text-mining and other techniques. You will also build visualizations,
dashboards and other tools that allow analytic information to inform
ongoing learning activities. You will additionally have the opportunity to
make connections with learning analytics researchers and practitioners
across the university and the larger international learning analytics
research community. Finally, you will collaborate on writing proposals for
external funding, journal articles, and conference presentations.
*Qualifications:*
- PhD degree in a relevant academic subject area, such as learning
analytics, computer science, data mining, text mining, artificial
intelligence, advanced statistics, education, psychology or related area
- Research experience in educational data mining, learning analytics,
machine learning, natural language processing, or related areas
- Strong analytical and statistical skills, ability and willingness to
learn new techniques rapidly
- Experience in computer programming, analytic, data management and
visualization tools (e.g. R, Python, JavaScript, D3.js, AWS)
- Practical experience in an educational role (e.g. instructor, teaching
assistant, K-12 teacher, tutor etc.)
- Interest in working in partnership with educators to develop and
implement analytics that support real-world learners in both formal and
informal educational contexts
- Ability to work both independently and in a team. Strong communication
skills and ability to collaborate with a wide variety of educational
stakeholders
- Strong academic writing and presentation skills
The successful candidate will be selected according to the excellence of
their research profile, analytic capabilities and the extent to which their
research interests complement ongoing and planned LEARN projects.
The position will be filled pending final budget approval. Salary is
commensurate with experience. NYU offers a comprehensive benefits package.
Founded in 1831, New York University is the largest private university in
the United States. The University has degree-granting campuses in New York,
Abu Dhabi, and Shanghai and operates 11 global academic centers and
research programs in more than 25 countries. The New York University
Steinhardt School of Culture, Education, and Human Development, founded in
1890, is the first school of pedagogy to be established at an American
university.
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Research Scientist, Consortium for Research and Evaluation of Enhanced
Technologies in Education (CREATE), NYU
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CREATE, the Consortium for Research and Evaluation of Enhanced Technologies
in Education, is a research lab at NYU Steinhardt, Directed by Jan L.
Plass, in which faculty and students collaborate on the design and study of
digital media for learning for a broad range of learners and topics. Our
current focus is on simulations and games for learning and cognitive
development. CREATE receives external funding from federal agencies,
foundations, and private sources. See create.nyu.edu for more information
on our work.
We are looking for a talented education or social science researcher to
join our highly innovative, productive, and fun team as Research Scientist
reporting to the CREATE director. In this role, you will support the
ongoing research and development projects in CREATE by collaborating on
grant writing; conceptualizing, planning, and implementing empirical
research studies, analyzing data and developing reports, journal articles,
and conference presentations; collaborating with our team of software
developers; and managing lab activities. If you are interested there may
also be teaching opportunities at the graduate level.
Applications are invited from highly skilled and ambitious researchers with
expertise in learning sciences, educational technology, psychology,
educational data mining, HCI, or related field. You should have a doctoral
degree (or be near its completion) or equivalent professional
qualifications, a track record of publishing your research in high quality
journals and conferences, and promise in the development of successful
grant applications. You should also be comfortable working in a dynamic,
innovative, and media/technology focussed multi-disciplinary environment.
The role will involve the design and testing of new simulations and games
for topics such as statistics, economics, medicine, science, and
mathematics, as well as basic cognitive skills, such as executive
functions. You will lead, or take part in, empirical research in school and
college settings. Prior experience with field trials of interactive
prototypes or products is highly desirable, as is expertise in biometrics
or eye tracking.
Successful candidates will be selected according to the excellence of their
research profile and the extent to which their research interests
complement ongoing CREATE projects in simulations and games for learning
and cognitive development.
Salary is commensurate with experience. NYU offers a comprehensive benefits
package.
Founded in 1831, New York University is the largest private university in
the United States. The University has degree-granting campuses in New York,
Abu Dhabi, and Shanghai and operates 11 global academic centers and
research programs in more than 25 countries. The New York University
Steinhardt School of Culture, Education, and Human Development, founded in
1890, is the first school of pedagogy to be established at an American
university.
Alyssa Friend Wise | Associate Professor of Learning Sciences & Educational
Technology
Educational Communication and Technology Program | Steinhardt | New York
University