Three fully funded PhD positions in Natural Language Processing are
available at the Unit for Natural Language Processing of the Data
Science Institute [1] at the National University of Ireland Galway [2].
The positions are funded by the Insight SFI Research Centre for Data
Analytics [3] and will be aligned with the Insight research programme on
Multimodal Data Analysis. The scholarship comprises a tax free stipend
of EUR 1542 per month, in addition to university fees.
1. PhD position on ‘NLP tasks in the context of multimodal and sensor data’
NLP tasks are no longer limited to the analysis of language as a single
modality but can access multiple modalities beyond language. The
advantage of incorporating multimodal approaches to NLP is the potential
complementarity of the data stored across different modalities. The
integration of signals coming from text, images, video, audio or sensor
data has been shown to be useful for improved natural language
understanding and generation. In this context, the PhD position will be
concerned with innovative research into the representation and
exploitation of multimodal and sensor data for NLP tasks.
2. PhD position on ‘Knowledge Graphs for natural language understanding
in physical settings’
Knowledge graphs are at the core of modelling reference and inference in
natural language understanding and multimodal reasoning. However, the
current state of the art in knowledge graphs is incomplete and
insufficient for truly effective natural language understanding in
physical settings. Conversational agents (chatbots), robotics and other
autonomous systems increasingly require an understanding of pragmatic
knowledge, such as physical dimensions of objects and events and how
this is referred to in language (verbalized) by human users. In this
context, the PhD position will be concerned with innovative research
into the extraction and use of knowledge graphs for natural language
understanding in physical settings.
3. PhD position on ‘Leveraging textual, audio and visual modalities
within machine translation’
Current approaches to multimodal machine translation leverage additional
information coming from different modalities, such as text, speech or
video. Exploiting the additional information in these modalities can be
used to improve the generated output in a different language. This PhD
position will focus primarily on video-guided translation, which
exploits audio and visual modalities. In this context, the PhD position
will be concerned with developing new models and approaches in
video-guided machine translation beyond the state-of-the-art, with
emphasis on real-time language processing and translation.
Candidates should:
- have a Masters degree in a relevant field of study with an emphasis on NLP
- have experience in machine learning and deep learning
- have good programming skills in Python
- enjoy working with real-world problems and large data sets
- have excellent proficiency in English and good communication skills
Please send your application (CV and cover letter in a single PDF,
please specify your name in the file name) before the closing date of
May 9th, 2021 to paul.buitel...@nuigalway.ie and mihael.ar...@nuigalway.ie
[1] https://dsi.nuigalway.ie/units/unlp
[2] https://www.nuigalway.ie
[3] https://www.insight-centre.org/
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