Fully-funded PhD position “Computer Science: Knowledge Graphs & Natural Language Processing” (m/f/d), Leibniz University Hannover, Germany

 Dear colleagues and friends,

The Research Center L3S invites applications for the position of a Research
Associate / PhD Candidate (m/f/d) “Computer Science: Knowledge Graphs &
Natural Language Processing” (Salary Scale 13 TV-L; 100 %) starting at the
earliest possible date. The position is limited to 3 years with the
possibility of extension. The regular weekly working time is 39.8 hours
(full-time).

*Description:*

The PhD topic will be in the context of the HybrInt project and the Open
Research Knowledge Graph (https://orkg.org/) focusing on building knowledge
graphs for the agricultural domain. The aim of these projects is to
research and develop NLP solutions as large language models (LLMs) for
crowdsourcing, representing and managing semantically structured, rich
representations of scholarly contributions and research data in knowledge
graphs and thus develop a novel model for scholarly communication. In the
context of the PhD thesis you will be responsible for building and
maintaining the ORKG data ingestion and processing pipelines to ensure the
flow of high-quality semantified resources from academic publications. Your
main responsibility in this position will be to build scalable solutions
that crawl, ingest, process publications, and thereby enrich the ORKG. You
will work alongside the ORKG engineering team to setup the AI/NLP ecosphere.

The tasks will focus on:

* Working in the areas of Natural Language Processing (text mining,
information extraction, information retrieval/search) and Machine Learning
of scholarly communication media (digital) data
* Research and development of suitable Large Language Models (LLMs) as NLP
solutions
* Conceptually designing, modeling, and implementing data-driven services
in one or more areas of information retrieval and extraction, data
enrichment, and linking of data

*Application Deadline:* 15.09.2023

*Web Address for Applications:* https://www.uni-hannover.de/en/jobs/id/6435/
(en); https://www.uni-hannover.de/de/jobs/id/6435/ (de)


Yours cordially,
Jennifer