- From: Stephen Fancsali <sfancsali@xxxxxxxxx>
- To: edm-announce@xxxxxxxxxxxxx
- Date: Mon, 3 Aug 2020 09:56:24 -0400
[on behalf of Daniel Jarratt]
Post-Doctoral Associate Position
Learning Informatics Lab
University of Minnesota
UMN Classification: Post-Doctoral Associate (9546)
To apply: https://hr.myu.umn.edu/jobs/ext/336799
The University of Minnesota (UMN) Learning Informatics Lab seeks candidates
to fill two Post-Doctoral Associate positions. The Lab is an
interdisciplinary research lab based in the College of Education and Human
Development and dedicated to advancing and applying data science and
informatics techniques to educational data in order to address pressing
challenges in K-12 education.
These positions are part of a new project in Educational Data Mining and
Learning Engineering funded by Schmidt Futures (https://schmidtfutures.com)
and in collaboration with Infinite Campus. Schmidt Futures funds
interdisciplinary networks for early-stage talent and advanced computing
platforms to accelerate research. Infinite Campus is a Minnesota-based
company that builds and deploys student information and learning management
systems for K-12 education. The post-doctoral associates will be full-time
employees of the University of Minnesota, and will also join the Visiting
Scholars program at Infinite Campus.
The goal of this two-year grant is to develop new, cutting-edge research
projects that will advance learning engineering, learning analytics,
educational data mining, and cognitive science. The specific projects will
be developed by the post-doctoral associates with guidance from U of M
faculty and Infinite Campus staff. Projects can take on areas such as
personalized learning, proficiency estimation, predictive learning
analytics, adaptive assessment, curriculum recommendation, and promotion of
fairness and transparency in learning analytics. Projects are encouraged to
address pressing challenges in K-12 education, from better matching
students with learning paths that meet their needs to addressing
The post-doctoral associates will work closely with a team of faculty at
the Learning Informatics Lab, led by Prof. Bodong Chen (Learning
Technologies), and including Prof. Joseph Konstan (Computer Science and
Engineering) and Prof. Sashank Varma (Computer Science and Psychology,
Georgia Tech), along with other faculty members in the Lab (
https://innovation.umn.edu/informatics/). They will work in partnership
with teams at Infinite Campus with expertise in data science, creating data
science solutions to novel educational problems, building machine-learned
products, and developing applications for K-12 teaching and learning. This
position may perform job responsibilities related to Infinite Campus
customer data, which may be subject to a more thorough criminal background
check to include, but not limited to, fingerprints, outside the standard
screening. If the position performs job responsibilities directly related
to specific customer(s), employee is required to pass the specified
criminal background check; meeting the requirements of the customer
The post-doctoral associates should be committed to producing original
research and publishing their work in highly ranked conference proceedings
and journals (as appropriate). The PIs and the Learning Informatics Lab are
committed to the professional development of the post-doctoral associates,
and will provide resources to support professional development including
participation in professional conferences.
Required Qualifications: The successful applicant must have:
A Ph.D. in data science, computer science, machine learning, statistics,
cognitive science, learning analytics, or an allied discipline.
A strong technical background with demonstrated experience developing
computational tools and/or applying data science methods to large data sets.
A desire to use data science approaches to address challenges and
problems in education.
Proficiency with managing complex data sets and quality control
Strong organizational and communication skills.
Strong professional writing skills, including research reports,
peer-reviewed research articles, or other print and electronic publications.
Experience in collaborating as a member of a larger research team.
Ability to work well with diverse populations.
Research & Project Management (100%)
Conceptualize, design, and implement computational research projects
that make use of Infinite Campus’ massive Student Information System (SIS)
and Learning Management System (LMS) data.
Work alongside Lab faculty to design, plan, coordinate and implement
logistical aspects of projects: Track progress, facilitate communication,
and ensure organization both within and across research projects.
Work closely with teams at Infinite Campus to access their massive SIS
and LMS data to address research questions.
Manage, institute, and document procedures for research planning, data
analyses, and reporting at the University of Minnesota.
Lead and assist with the preparation of research articles, reports,
grants and related materials.
Disseminate research findings at academic conferences and journals.
Review of applications will begin immediately, and the positions will begin
as soon as suitable candidates are identified. Candidates must have
completed all of the requirements of their Ph.D. programs before, but they
do not have to have formally graduated. We anticipate that funding will be
available for two years. The positions will be annually renewed based on
performance and continued availability of funding.
To be considered for this position, please include:
Letter of Interest (including your relevant background and research
Three relevant publications (conference proceedings or journals)
Names, e-mail addresses, and phone numbers of three references
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