* PhD position (salary group TV-L 13, working time 100 %, initially
limited to 3 years) *
*******************************************************************
We are seeking a highly motivated PhD candidate to join the Data &
Knowledge Engineering group
(https://www.cs.hhu.de/en/research-groups/data-knowledge-engineering
https://www.cs.hhu.de/en/research-groups/data-knowledge-engineering) at
Heinrich-Heine-University Düsseldorf in collaboration with GESIS,
Cologne (http://www.gesis.org) in the context of the DFG-funded research
project "EmergentIR: Improving Informational Web Search for Emerging
Topics".
The project investigates web search behavior and algorithms in the
context of emerging topics, i.e. for novel and less-well understood
search queries. An example is the search for COVID-19 related terms and
topics during the early days of the pandemic, where available online
resources and information were evolving quickly and reliable high
quality information was sparse.
* Your responsibilities *
************************
- Research in fields such as information retrieval, information
extraction/NLP and/or human-computer interaction to investigate and
support web search on emerging topics, e.g. to predict search intents,
detect emerging topics or support ranking and retrieval of information.
- Work and collaborate with an interdisciplinary team of researchers to
develop and evaluate computational methods in the context of web search.
- Publish and present research results at major scientific events
* Your profile *
****************
- Master’s degree in computer science or a related field.
- Background in the following areas: information retrieval, natural
language processing, or machine learning/deep learning.
- Experience in programming (e.g. Python) and with machine learning
frameworks such as PyTorch or TensorFlow
- Fluency in English. German language skills are desirable but not
required.
* Contact & application process *
********************************
Please send your complete application documents (CV, certificates &
transcripts) as a single PDF file to Stefan Dietze
([email protected]) by 15 April. For any informal enquiries about the
position, please don't hesitate to get in touch via the same email
address.
--
Prof. Dr. Stefan Dietze
Scientific Director Knowledge Technologies for the Social Sciences
GESIS - Leibniz Institute for the Social Sciences
Web: https://www.gesis.org/en/kts
Chair of Data & Knowledge Engineering
Heinrich-Heine-University Düsseldorf
Web: https://www.cs.hhu.de/en/research-groups/data-knowledge-engineering
Phone: +49 (0)221-47694-421
Web: http://stefandietze.net
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