34.105, Jobs: English; Computational Linguistics: Postdoctoral Research Fellow in Machine Learning & Natural Language Processing, Trinity College Dublin

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LINGUIST List: Vol-34-105. Fri Jan 13 2023. ISSN: 1069 - 4875.

Subject: 34.105, Jobs: English; Computational Linguistics: Postdoctoral Research Fellow in Machine Learning & Natural Language Processing, Trinity College Dublin

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Editor for this issue: Lauren Perkins <lauren at linguistlist.org>
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Date: Fri, 13 Jan 2023 20:25:53
From: Monica Lechea [monica.lechea at adaptcentre.ie]
Subject: English; Computational Linguistics: Postdoctoral Research Fellow in Machine Learning & Natural Language Processing, Trinity College Dublin, Dublin, Ireland

 
University or Organization: Trinity College Dublin 
Department: ADAPT Centre
Job Location: Dublin, Ireland 
Web Address: https://www.adaptcentre.ie/careers/
Job Title: Postdoctoral Research Fellow in Machine Learning & Natural Language Processing
Job Rank: Post Doc

Specialty Areas: Computational Linguistics 

Required Language(s): English (eng)

Description:

Dialogue systems aim to have high quality conversations with users, emulating
natural conversation skills, all the while completing a task efficiently and
improving user experience. Research into dialogue systems faces similar
challenges to other areas of Natural Language Processing (NLP), with respect
to evaluation of systems. How can we best evaluate systems so results are
realistic, accurate, and reliable? Good evaluation of systems is vital to
guide research in the most promising direction and to avoid following
directions that unknowingly negatively impact the performance of systems from
the perspective of human users. Dialogue systems research is thought to be the
future of human computer interaction and providing a means of accurate
evaluation in this area therefore remains a high priority in NLP. The topic is
under-researched however possibly due to the significant challenges that lie
in the development of good evaluation methods relative to other research
areas.

The project involves development of successful methods of evaluation for
dialogue systems, including human and automatic metric-based evaluation. On
completion of the project, the researcher will have experience with
integrating state-of-the-art dialogue models into crowdsourcing platforms,
such as Amazon’s Mechanical Turk, as well as using neural networks for
automatic evaluation of dialogue quality. The work involved in this project as
well as high impact publication venues will result in experience highly
desired by companies such as Facebook, Google and LinkedIn to name but a few,
in addition to being valuable for academic research careers in NLP and Machine
Learning.

About the role: 
 - Have a high-valuable impact to the project through the implementation of
technical solutions to the project goals, in particular methods of evaluation
that will have high benefit within  dialogue systems research community
 - Enhance your reputation through publishing in top-quality journals and
conferences in collaboration with team members
ADAPT’s Research Development Team will help you develop your ideas into
projects and establish a strong funding track record
 - Participate alongside leading experts in exciting project activities and
events to further research in machine learning
 - Contribute to the development of the next generation of thinkers and
innovators through teaching and supervision activities
 - You will have the opportunity to nationally and internationally present and
represent the ground breaking research carried out by you and the research
team
 - You will develop as a researcher through access to a wide training &
development opportunity
 - You will build a strong network through opportunities to liaise with
internal and external stakeholders including industry and academic
partners/collaborators.
 - Involvement with all aspects of the project lifecycle
 - Chance to join a small group of highly motivated researchers, initial
contract is 7 Months duration but will be extended subject to funding
availability

Minimum qualifications:
 - PhD or equivalent in computer science or aligned field. 

Preferred qualifications:
 - PhD or equivalent in natural language processing or machine learning

For informal inquiries please contact Prof Yvette Graham
(yvette.graham at adaptcentre.ie) about the position.

Applicants should submit an application via the link below. As part of the
application, candidates are asked to provide the following: 
 - Cover Letter
 - A personal letter of motivation, indicating why you wish to conduct this
research project offered by ADAPT, and why you expect that you will be able to
complete the research successfully;
 - CV
 - Detailed curriculum vitae, including – if applicable – relevant
publications;
 - The full name, role and email contacts of two referees
 - The link to your github profile (if available)



Application Deadline: 31-Jan-2023 
	  
Web Address for Applications: https://docs.google.com/forms/d/e/1FAIpQLSfW915X46jrwT_OFHn2JMvfPFxZYnzR5Xe_fimiY4iCtOVzoA/viewform 
Contact Information:
	Prof Yvette Graham 
	Email: yvette.graham at adaptcentre.ie 


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