The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Friday 15 November 2024, 2-4 pm (GMT)
Topic: Discourse-Oriented Corpus Studies
2-3 pm
Katia Adimora (Edge Hill University)
Mexican immigration/immigrants in American and Mexican newspapers
3-4 pm
Dan Malone (Edge Hill University)
When is the extreme also typical? Using prototypicality to investigate representations of the lone-wolf terrorist
Attendance is free. The abstracts and registration link are here: https://sites.edgehill.ac.uk/crg/next
Registration closes tomorrow (Wednesday 13 November) at 11 am (GMT).
If you have problems registering, or have any questions, please contact me: gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>
________________________________
Edge Hill University<http://ehu.ac.uk/home/emailfooter>
Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter>
University of the Year, Educate North 2021/21
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This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>
Location: Cardiff, UK
Deadline for applications: 25th November
Start date: available immediately
End date: 30th April 2027
Keywords: natural language processing, neuro-symbolic AI, graph neural networks, commonsense reasoning
Details about the post
Applications are invited for a Postdoctoral Research Associate in the Cardiff University School of Computer Science & Informatics, to work on the EPSRC Open Fellowship project ReStoRe (Reasoning about Structured Story Representations), which is focused on story-level language understanding. The overall aim of this project is to develop methods for learning graph-structured representations of stories. For this post, the specific focus will be on developing neuro-symbolic reasoning strategies to fill the gap between what is explicitly stated in a story and what a human reader would infer by “reading between the lines”. More details about the post and instructions on how to apply are available at https://www.jobs.ac.uk/job/DKK088/research-associate
We are happy to announce the next online seminar in the Neurocognition, Language and Visual Processing (NLVP) series organized by the NLVP group and IDSAI at the University of Exeter. You can check the slides, videos of previous talks and the schedule for upcoming talks here: https://sites.google.com/view/neurocognit-lang-viz-group/seminars
Zoom meeting link: https://Universityofexeter.zoom.us/j/93707609239?pwd=ErfOgIy30fwkAH7V5iFFVg…
(Meeting ID: 937 0760 9239 Password: 259613)
***Seminar 1: Thursday, 12 Dec 2024, 16:00 to 17:00, BST***
Speaker: Dr Vered Shwartz (University of British Columbia)
Title: Navigating Cultural Adaptation of LLMs: Knowledge, Context, and Consistency
Abstract: Despite their amazing success, large language models and vision and language models suffer from several limitations. This talk focuses on one of these limitations: the models’ narrow Western, North American, or even US-centric lens, as a result of training on web text and images primarily from US-based users. As a result, users from diverse cultures that are interacting with these tools may feel misunderstood and experience them as less useful. Worse still, when such models are used in applications that make decisions about people’s lives, lack of cultural awareness may lead to models perpetuating stereotypes and reinforcing societal inequalities. In this talk, I will present a line of work from our lab aimed at quantifying and mitigating this bias.
Speaker's short bio: Vered Shwartz is an Assistant Professor of Computer Science at the University of British Columbia, and a CIFAR AI Chair at the Vector Institute. Her research interests include commonsense reasoning, computational semantics and pragmatics, multimodal models, and cultural considerations in NLP. Previously, Vered was a postdoctoral researcher at the Allen Institute for AI (AI2) and the University of Washington, and received her PhD in Computer Science from Bar-Ilan University.
***Seminar 2: Thursday, 16 Jan 2025, 15:00 to 16:00, BST***
Speaker: Prof Roberto Navigli (Sapienza University of Rome)
Title: What's Behind Text? The Long, Challenging Path Towards a Unified Language-Independent Representation of Meaning
Abstract: In the era of Large Language Models (LLMs), the pursuit of a unified, language-independent representation of meaning remains both essential and complex. This talk revisits the rationale for advancing semantic understanding beyond the capabilities of LLMs and highlights the development of a large-scale multilingual inter-task resource like MOSAICo and the design of innovative methods that bridge word- and sentence-level meanings across languages. I will also explore how building a robust, multilingual framework for interpreting meaning with greater precision and depth enhances the quality and reliability of system outputs, including text generated by LLMs.
Speaker's short bio: Roberto Navigli is Professor of Natural Language Processing at the Sapienza University of Rome, where he leads the Sapienza NLP Group. He has received two ERC grants on lexical and sentence-level multilingual semantics, highlighted among the 15 projects through which the ERC transformed science. He received several prizes, including two Artificial Intelligence Journal prominent paper awards and several outstanding/best paper awards from ACL. He is the co-founder of Babelscape, a successful deep-tech company which enables NLU in dozens of languages. He served as Associate Editor of the Artificial Intelligence Journal (2013-2020) and Program Co-Chair of ACL-IJCNLP 2021. He is a Fellow of ACL, ELLIS and EurAI and currently serves as General Chair of ACL 2025.
Check past and upcoming seminars at the following url: https://sites.google.com/view/neurocognit-lang-viz-group/seminars.
If you want to follow future NLVP seminars, you are welcome to join our *Google group*: https://groups.google.com/g/neurocognition-language-and-vision-processing-g…
Best wishes,
Hang Dong (https://computerscience.exeter.ac.uk/staff/hd524)
on behalf of the NLVP group (https://sites.google.com/view/neurocognit-lang-viz-group/members)
*Apologies for cross-postings*
�
eRST – enhanced Rhetorical Structure Theory
�
We are delighted to introduce a new parsing framework and datasets for discourse relation recognition: eRST is an ehanced version of Rhetorical Structure Theory which allows multiple, concurrent and non-projective discourse relations in a formally constrained graph, aligned to a large inventory of discourse relation signals, based on the Signaling Corpus taxonomy. Signals are divided into 9 classes and 45 sub-classes, including traditional discourse markers such as PDTB-style connectives, but also lexical, syntactic and semantic signals, such as repetition, lexical chains and anaphoric relations.
�
eRST is described in depth in this paper:
�
Zeldes, Amir, Aoyama, Tatsuya, Liu, Yang Janet, Peng, Siyao, Das, Debopam and Gessler, Luke (2024) "eRST: A Signaled Graph Theory of Discourse Relations and Organization". Computational Linguistics, 1–47. https://direct.mit.edu/coli/article/doi/10.1162/coli_a_00538/124464/eRST-A-…
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You can also find an overview at the following website, as well as analyses for nearly 250K words of English in 24 spoken and written text types, from the freely available UD English GUM and GENTLE corpora:
�
https://gucorpling.org/erst/
�
If you want to learn more and are participating in EMNLP in Miami this week, please check out our talk on Wednesday! And if you are interested in shallow discourse parsing, please check out our paper on Tuesday and the aligned PDTB3-style relations for the same data in this paper: https://aclanthology.org/2024.emnlp-main.684/
�
*<Lexicom/>*
a workshop in digital lexicography and lexical computing
*Registration open*
*Bari, Italy*15 – 19 September 2025
Your 5 days to get up-to-date with the latest developments in
*corpus-driven lexicography* and to practice your
*corpus building and corpus query skills* with some of the top experts in
the field.
For the programme, lecturers, invited speakers, fees and registration,
visit this website
*lexicom.courses <https://lexicom.courses/upcoming-lexicom/>*
I hope to meet you in Bari in September!
Ondřej
*Ondřej Matuška*
sketchengine.eu <http://www.sketchengine.eu/> | Facebook
<https://www.facebook.com/SketchEngine/> | LinkedIn
<https://www.linkedin.com/in/ondrejmatuska> | Twitter
<https://twitter.com/SketchEngine>
[apologies if you receive multiple copies of this call]
NTCIR-18 tasks: https://research.nii.ac.jp/ntcir/ntcir-18/tasks.html
NTCIR-18 registration: https://research.nii.ac.jp/ntcir/ntcir-18/howto.html
____________________________________________________________
NTCIR-18 (June 10-13, 2025, Tokyo, Japan) now calls for task participation
of anyone interested in research on information access technologies and
their evaluation, such as retrieval from a large amount of document
collections, question answering and natural language processing. We welcome
students, young researchers, professors who supervise students, researchers
working for a company, and anyone who is interested in informatics.
== What is NTCIR? ==
Development of Information Access technologies based on techniques of
Information Retrieval, Natural Language Processing, and Database Management
becomes increasingly more important for many applications, (e.g., providing
effective access to Web resources and text archives, and analyzing big data
obtained from various kinds of sensors). It is indispensable for developing
such technologies to experimentally evaluate them by using test collections
constructed under collaborations of many researchers. Over the past 20
years, NTCIR has been formulating the infrastructure for the evaluation,
and contributing to development of the Information Access technologies. A
total of over 80 "evaluation tasks" have been organized, attracting over
1,000 participant research groups worldwide so far. Furthermore, over 4,600
research groups have signed up to use the NTCIR test collections in their
research. Consequently, NTCIR has been a major forum for researchers to
intensively discuss the evaluation methodology of emerging information
access technologies.
== NTCIR-18 Tasks ==
NTCIR-18 Program Committee has selected 10 tasks.
The overview slide of each task is available at the
kick-off page: https://research.nii.ac.jp/ntcir/ntcir-18/kickoffcfp.html
For more details, please visit the websites of each task:
Task Overview page: https://research.nii.ac.jp/ntcir/ntcir-18/tasks.html
----------------------------------------------------------------------------
NTCIR-18 Tasks
Core Tasks
AEOLLM: Automatic Evaluation of LLMs
-
https://aeollm.github.io/
FairWeb-2: The Second Fair Web Task
-
sakailab.com/fairweb2/
FinArg-2: Temporal Inference of Financial Arguments
-
https://sites.google.com/nlg.csie.ntu.edu.tw/ntcir-18-finarg-2/
<https://sites.google.com/nlg.csie.ntu.edu.tw/ntcir-18-finarg-2/finarg-2>
Lifelog-6: Personal Lifelog Organisation & Retrieval Task
-
http://lifelogsearch.org/ntcir-lifelog/
RadNLP: Natural Language Processing for Radiology
-
https://sociocom.naist.jp/radnlp-2024
MedNLP-CHAT Medical Natural Language Processing for AI Chat
-
https://sociocom.naist.jp/mednlp-chat
Transfer-2: Resource Transfer Based Dense Retrieval
-
https://github.com/ntcirtransfer/transfer2/discussions
Pilot Tasks
HIDDEN-RAD: Hidden Causality Inclusion in Radiology Report Generation
-
https://sites.google.com/view/ntcir-18-hidden-rad/hidden-rad
SUSHI: Searching Unseen Sources for Historical Information
-
https://sites.google.com/view/ntcir-sushi-task/
U4: Unifying, Understanding, and Utilizing Unstructured Data in Financial
Reports
-
https://sites.google.com/view/ntcir18-u4/
== How to Participate ==
1. Please carefully read "How to Participate to NTCIR-18 Task(s)":
https://research.nii.ac.jp/ntcir/ntcir-18/howto.html
2. Please register at
https://ntcir.nii.ac.jp/index.php/ntcir-18-registration-form/
The datasets of each task will be delivered to the team after registration (the
date may vary depending on the task).
Registration Due (Depend on the task):
Nov. 1st, 2024 (Passed)
-
FairWeb-2: The Second Fair Web Task
Nov. 15th, 2024
-
SUSHI Searching Unseen Sources for Historical Information
Dec. 1st, 2024
-
RadNLP: Natural Language Processing for Radiology
Dec. 16th, 2024
-
Transfer-2: Resource Transfer Based Dense Retrieval
Dec. 28th, 2024
-
U4: Unifying, Understanding, and Utilizing Unstructured Data in
Financial Reports
Jan 8th, 2025
-
HIDDEN-RAD: Hidden Causality Inclusion in Radiology Report Generation
Jan 15th, 2025
-
AEOLLM: Automatic Evaluation of LLMs
-
FinArg-2: Temporal Inference of Financial Arguments
-
Lifelog-6: Personal Lifelog Organisation & Retrieval Task
Jan 17th, 2025
-
MedNLP-CHAT: Medical Natural Language Processing for AI Chat
== Schedule ==
(*Schedule can be different for different tasks. Please visit
webpages of each task for the details.)
Sep 2024-Feb 2025 Formal run*
Feb 1, 2025 Evaluation results return
Feb 1, 2025 Task overview release (draft)
Mar 1, 2025 Submission due of participant papers (draft)
May 1, 2025 Camera-ready participant paper due
Jun 10-13, 2025 NTCIR-18 Conference
(At the NTCIR-18 Conference, an online presentation will be available)
== Questions? ==
For information regarding the task specifications etc.,
please contact the NTCIR Program Chairs: ntc18-pcc(a)nii.ac.jp or task
organizers.
For information regarding the online registration and previous NTCIR
test collections, please contact the NTCIR office: ntc-secretariat(a)nii.ac.jp
We are looking forward to your participation!
NTCIR-18 Program Co-Chairs:
Qingyao Ai (Tsinghua University, China)
Chung-Chi Chen (AIST, Japan)
Shoko Wakamiya (NAIST, Japan)
NTCIR-18 General Co-Chairs:
Charles Clarke (University of Waterloo, Canada)
Noriko Kando (National Institute of Informatics, Japan)
Makoto P. Kato (University of Tsukuba, Japan)
Yiqun Liu (Tsinghua University, China)
Apologies for cross-posting.
We are pleased to announce a special issue of the Neurosymbolic Artificial Intelligence journal on the topic of "Neurosymbolic Generative Models".
The full call for papers is available at:
https://neurosymbolic-ai-journal.com/content/call-papers-special-issue-neur…
Key dates:
Submission deadline: November 15, 2024
Fast track submission deadline: December 15, 2024
Neurosymbolic Artificial Intelligence is an open access journal published by IOS Press. There are no fees for submission, publication or access to published articles.
This special issue aims to bring together cutting-edge research on applying neurosymbolic AI techniques to Deep Generative Models (DGMs), such as large language models. We invite contributions on integrating neural and symbolic approaches to improve the performance, interpretability, and robustness of DGMs.
Topics of interest include, but are not limited to:
Neurosymbolic approaches for learning and reasoning in DGMs
Integration of expert knowledge in learning for DGMs
Neurosymbolic AI for improving interpretability and explainability of DGMs
Applications of neurosymbolic DGMs in various domains
We also welcome survey papers and work on related topics like neural program synthesis for DGMs.
SUBMISSION GUIDELINES
Full papers and surveys are invited. Submissions must be original and not previously published or under consideration elsewhere. Authors can extend previously published conference/workshop papers (see guidelines for details).
Submissions should be made through the journal website:
https://neurosymbolic-ai-journal.com/
Please indicate in the cover letter that the submission is for the "Special Issue on Neurosymbolic Generative Models".
For any questions, please contact the guest editors at:
nesy-genai(a)googlegroups.com
We look forward to your submissions!
------------------------------------------------
Kordjamshidi, Parisa
Associate Professor
Computer Science and Engineering
Michigan State University
http://www.cse.msu.edu/~kordjams/
Heterogeneous Learning & Reasoning Lab: https://hlr.github.io/
Woman, Life, Freedom
(Spanish version below / Versión en español más abajo)
====================================================================
Call for Registration II Andaluz.IA Forum
December 20, 2024, Antigua Escuela de Magisterio (Universidad de Jaén)
https://sites.google.com/view/andaluzia
====================================================================
From ten Andalusian universities, the Joint Research Center of the European
Commission, and several Andalusian researchers currently at other national
and international institutions, we are organizing the II Andaluz.IA Forum
<https://sites.google.com/view/andaluzia/home>, a meeting whose main
objective is to show the potential and give visibility to the academic and
research community in Artificial Intelligence in our region. This forum
seeks to highlight the work of Andalusian scientists, both those who are
currently working in Andalusia, as well as those who have spent part of
their training or career in the region, regardless of their current place
of work.
The first edition of the Andaluz.IA forum
<https://sites.google.com/view/andaluzia2023/> was organized at Universidad
Pablo Olavide in Seville and this year it will take place at Universidad de
Jaén. With this second edition, we want to continue highlighting the great
potential for research and academic development in Artificial Intelligence
that Andalusia has, in areas such as machine learning, deep learning,
robotics and natural language processing.
The event will be held in person on December 20, 2024 at the Antigua
Escuela de Magisterio (Universidad de Jaén). Interested researchers can
participate by presenting their results in oral or poster format, provided
that they have been accepted in relevant conferences or journals in the
area. In addition, professionals and companies wishing to participate may
do so through sponsorship or direct participation by registering on the
event's website.
STRUCTURE OF THE EVENT
The II Andaluz.IA Forum will feature two keynote lectures by two leading
researchers, in particular the professor José Camacho-Collados from Cardiff
University and the professor Laura Sevilla from University of Edinburgh.
You can read more details about the keynotes at:
https://sites.google.com/view/andaluzia/program/keynotes.
Moreover, it will include two oral sessions and two poster sessions (one
with coffee and one with lunch) in which the research results of the
accepted participants' papers will be presented. In addition, there will be
a panel discussion, a community wrap-up and a more relaxed final session
with mantecados and turrón.
Likewise, on December 19, the "Fundamentals of Deep Learning" workshop of
the NVIDIA Deep Learning Institute training program will be held. More
information about the workshop and registration can be found at:
https://sites.google.com/view/andaluzia/program/nvidia-workshop.
REGISTRATION
We stand out that the early registration deadline is November 15, 2024, so
we encourage you to take advantage of the fees of the early registration.
All participants and attendees must register at
https://sites.google.com/view/andaluzia/registration.
IMPORTANT DATES
● Deadline for submission of papers: October 15, 2024 (extended October 24,
2024)
● Notification of acceptance: November 4, 2024
● Deadline for registration at a reduced rate: November 15, 2024
CONTACT INFORMATION
maite(a)ujaen.es
sjzafra(a)ujaen.es
ORGANIZING COMMITTEE
https://sites.google.com/view/andaluzia/organisers
====================================================================
Llamada al Registro II Foro Andaluz.IA
20 de diciembre de 2024, Antigua Escuela de Magisterio de la Universidad de
Jaén
https://sites.google.com/view/andaluzia-es
====================================================================
Desde diez universidades andaluzas, el Joint Research Center de la Comisión
Europea y algunos investigadores andaluces actualmente en otras
instituciones nacionales e internacionales, estamos organizando el II Foro
Andaluz.IA <https://sites.google.com/view/andaluzia/home>, un encuentro que
tiene como objetivo principal mostrar el potencial y dar visibilidad a la
comunidad académica y de investigación en Inteligencia Artificial de
nuestra región. Este foro busca poner en valor el trabajo de los
científicos andaluces, tanto los que actualmente desarrollan su labor en
Andalucía, como aquellos que han llevado parte de su formación o carrera en
la región, independientemente de su lugar de trabajo actual.
La primera edición del foro Andaluz.IA
<https://sites.google.com/view/andaluzia2023/> se organizó en la
Universidad Pablo Olavide de Sevilla y este año tendrá lugar en la
Universidad de Jaén. Con esta segunda edición, queremos continuar destacando
el gran potencial de investigación y desarrollo académico en Inteligencia
Artificial que posee Andalucía, en áreas como el aprendizaje automático,
aprendizaje profundo, robótica y procesamiento del lenguaje natural.
El evento se llevará a cabo de forma presencial el 20 de diciembre de 2024
en la Antigua Escuela de Magisterio de la Universidad de Jaén. Los
investigadores interesados pueden participar presentando sus resultados en
formato oral o póster, siempre que hayan sido aceptados en conferencias o
revistas relevantes del área. Además, los profesionales y empresas que
deseen participar podrán hacerlo a través de patrocinio o mediante
participación directa, registrándose en la página web del evento.
ESTRUCTURA DEL EVENTO
El II Foro Andaluz.IA contará con dos ponencias a cargo de dos destacados
investigadores, en concreto el profesor José Camacho-Collados de la
Universidad de Cardiff y la profesora Laura Sevilla de la Universidad de
Edimburgo. Pueden leer más detalles sobre las conferencias magistrales en:
https://sites.google.com/view/andaluzia-es/programa/ponentes.
Además, incluirá dos sesiones orales y dos sesiones de pósters (una con
café y otra con almuerzo) en las que se presentarán los resultados de
investigación de los trabajos de los participantes aceptados. Además, habrá
una mesa redonda, una recapitulación comunitaria y una sesión final más
distendida con mantecados y turrón.
Asimismo, el 19 de diciembre se celebrará el taller «Fundamentos del Deep
Learning» del programa de formación NVIDIA Deep Learning Institute. Más
información sobre el taller e inscripciones en:
https://sites.google.com/view/andaluzia-es/programa/taller-nvidia.
REGISTRO
El plazo de inscripción a precio reducido finaliza el 15 de Noviembre de
2024, por lo que les animamos a aprovechar la tarifa de la inscripción
anticipada. Todos los participantes y asistentes deben registrarse en
https://sites.google.com/view/andaluzia-es/registro.
FECHAS IMPORTANTES
● Fecha tope de envío de trabajos: 15 de octubre de 2024 (extendida al 20
de octubre de 2024)
● Notificación de aceptación: 4 de noviembre de 2024
● Fecha límite de registro a precio reducido: 15 de noviembre de 2024
INFORMACIÓN DE CONTACTO
maite(a)ujaen.es
sjzafra(a)ujaen.es
COMITÉ ORGANIZADOR
https://sites.google.com/view/andaluzia-es/organizadores
[image: Universidad de Jaén] <http://www.uja.es/> *Salud María Jiménez
Zafra*
sjzafra(a)ujaen.es
Universidad de Jaén
Grupo de Investigación SINAI <http://sinai.ujaen.es/> | Departamento de
Informática
EPS Jaén, Edificio A3, Despacho 326
Campus Las Lagunillas s/n 23071 - Jaén | +34 953212992
[image: Universidad de Jaén] <http://www.uja.es/>
The Computional Linguistics Group at Bielefeld University is looking for a
** Researcher (full-time, PhD or PostDoc) **
to work in a project on measuring linguistic creativity in different
genres. The project is part of a newly established Collaborative
Research Centre (CRC 1646) on “Linguistic Creativity in Communication”
[1]. The announced position will focus on computational aspects of
measuring linguistic creativity. A central task will be to develop
sentence embedding models that disentangle style and content, based on
language models for different literary and non-literary genres, and to
work on the analysis of linguistic creativity in large language models,
in collaboration with other projects of the CRC.
The duration of the position is approx. 3 years (until the end of 2027).
Deadline for applications: 20.11.2024
Contact: Sina Zarrieß (sina.zarriess(a)uni-bielefeld.de)
Apply here:
https://uni-bielefeld.hr4you.org/job/view/3794/research-position?page_lang=…
[1]
https://www.uni-bielefeld.de/fakultaeten/linguistik-literaturwissenschaft/f…
--
Prof. Dr. Sina Zarrieß
Computational Linguistics
https://clause-bielefeld.github.io/
University of Bielefeld
Universitätsstr. 25
33615 Bielefeld, Germany
+49 521 106-2534
The Computational Linguistics at Manitoba (CLAM) Lab [1] at the
University of Manitoba [2] is offering funded PhD positions starting in
2025 for the following research topics:
1. Computational humour, with a focus on validation of linguistic
theories of humour, translation of humour, and/or classification of
aggressive humour.
2. Historical born-digital corpora, with a focus on constructing and
analyzing structured, annotated text corpora from Usenet or other
pre-Web archives.
3. Indigenous language technology, with a focus on developing digital
resources for text processing, writing, typesetting, and/or language
revitalization.
We are seeking highly motivated candidates with a strong interest in
linguistically informed approaches to these topics.
ROLE DESCRIPTION
Successful candidates will pursue a doctoral degree in the Computer
Science [3] or Individual Interdisciplinary Studies [4] program while
working as a graduate research assistant. In these roles, and supported
by their supervisor(s), they will design and carry out scientific
experiments, construct and analyze text corpora or other data sets,
develop and publish research software, collaborate with local and
international researchers, and write papers for high-quality journals
and conferences.
The prospective starting date is September 2025.
QUALIFICATIONS
Required:
* A research-based Master's degree in computer science or a related
discipline, together with a strong background in (computational)
linguistics or natural language processing. (Candidates with a Master's
degree in linguistics and strong technical and programming skills may
also be considered.)
* Fulfillment of the admission requirements for the Computer Science PhD
program or the Individual Interdisciplinary Studies PhD program.
* Ability to work both independently and as part of a team.
Highly desirable:
* Past research publications in computer science or linguistics
* Knowledge of any of the following:
* theories of verbal humour or verbal aggression
* text corpora
* history of computing (pre-WWW)
* language tools and resources (dictionaries, wordnets, parsers, etc.)
* an indigenous language (particularly one of the Anishinaabeg,
Ininiwak, Anisininewuk, Dakota Oyate, Dene, or Métis people)
ABOUT THE UNIVERSITY OF MANITOBA
The University of Manitoba [2] is consistently ranked among the top
research-intensive universities in Canada [5]. Its strong and rapidly
growing Department of Computer Science [6] advances research at the
frontiers of artificial intelligence, human–computer interaction,
autonomous agents, and other areas, with a track record of
interdisciplinary and industry collaboration.
Winnipeg [7], the sixth-largest city in Canada, and one of the most
livable [8], boasts a vibrant, multicultural community and ample
opportunities for sport, leisure, and entertainment. It is home to
internationally renowned festivals, galleries, and museums; the historic
Exchange District and The Forks; and ever-expanding research, education,
and business sectors. From the Hudson Bay waters, across the farmland
fields, to the pulse of the cities and towns, the province of Manitoba
[9] has 100,000 lakes, 92 provincial parks, winding river valleys, and
storied prairie skies.
HOW TO APPLY
Send the following to Dr. Tristan Miller [10] at
Tristan.Miller(a)umanitoba.ca:
* Your curriculum vitae
* Copies of your degree certificates and transcripts
* A copy of your Master's thesis and any academic publications
* A cover e-mail that summarizes your interest in and aptitude for one
of the three research topics above, with specific reference to your
background and to any relevant projects or publications you were
involved in.
Applications will be accepted until December 1, 2024 or until the
positions are filled.
Applications are particularly encouraged from those who are women,
non-binary, indigenous, or members of other underrepresented groups.
Only those candidates who are shortlisted for an interview will be
contacted.
[1] https://clam.cs.umanitoba.ca/
[2] https://www.umanitoba.ca/
[3] https://umanitoba.ca/explore/programs-of-study/computer-science-phd
[4]
https://umanitoba.ca/explore/programs-of-study/individual-interdisciplinary…
[5] https://u15.ca/about-us/our-members/
[6] https://www.cs.umanitoba.ca/
[7] https://www.tourismwinnipeg.com/
[8]
https://www.economicdevelopmentwinnipeg.com/newsroom/read,post/1026/winnipe…
[9] https://www.travelmanitoba.com/
[10] https://logological.org/
--
Dr. Tristan Miller, Assistant Professor
Department of Computer Science, University of Manitoba
https://clam.cs.umanitoba.ca/ | Tel. +1 204 474 6792