Please pass this along to anyone potentially interested:
We have two fully-funded positions for graduate students (PhD or MS)
with interests in ontologies and knowledge graphs in the Spatial
Knowledge and Artificial Intelligence (SKAI) Lab at the University of Maine.
The successful applicant will conduct highly interdisciplinary research
within one of the following projects:
1) The Convergence Accelerator Phase II project (funded by the National
Science Foundation) aims to develop an Urban Flooding Open Knowledge
Network (UF-OKN). In this project, you will help develop and deploy
ontologies that make interdependencies between various aspects of the
urban infrastructure, including transportation, building and various
utility infrastructure (water, sewer, electric, etc.) explicit in order
to help mitigate and respond to natural disasters such as flooding. Some
knowledge of geospatial data standards would be essential for this
project.
2) The CelloGraph project (funded by the US Department of Agriculture)
aims to construct an ontology about (renewable) cellulose materials,
their physical and chemical properties and associated manufacturing
processes and products. In this project, you will use information
extraction/NLP techniques together with ontological engineering to
construct and populate the ontology from the scientific literature. This
project requires some familiarity with physical/chemical properties of
organic materials, chemical engineering, wood science or similar.
The applicants are expected to pursue a MS or PhD degree in Spatial
Information Science and Engineering, Computer Science, or another
project-relevant discipline.
Both positions pay a stipend that covers living expenses, tuition and
health insurance. A start of January 2021 or shortly thereafter is
preferred, so later starts can be negotiated. Options for remote study &
work are possible.
See the full ads with position requirements and expectations at:
spatialai.org
For further information, please email to: torsten.hahmann@maine.edu
--
Torsten Hahmann, Ph.D.
Associate Professor of Spatial Informatics
School of Computing & Information Science
344 Boardman Hall, University of Maine
www.spatialAI.org
