The Data Science Chair at JMU Würzburg as a member of the Center for AI and Data Science (CAIDAS) offers two positions for doctoral researchers (m/w/d) in the area of machine learning.
Both positions will work within the BigData@Geo2 project, the followup of the successful BigData@Geo project [1], that provides machine-learning-aided decision support for agricultural measures in the light of regional climate change. This includes prediction of crop yields and enabling proactive agricultural strategies.
In the first position, you will build machine and deep learning improved climate models that provide a basis for the prediction of regional climate change and agricultural risk assessment, allowing agriculture to react in time by applying appropriate policies to deal with the challenge of changing climate-related conditions. This work focuses on the use and extension of state of the art deep learning architectures such as transformers to solve important downstream tasks such as increasing climate model resolution, identifying relevant climate indicators, integrating additional ecosystem information, and transfer function.
The second position focuses on natural language processing and will allow you to work on data from many small companies in the form of historical yearbooks, as well as general information from local newspapers or social media discussing local climate events. Using this data, you will develop new methods for discovering climate, ecosystem and agriculturally relevant events that assist in the overarching goal of BigData@Geo2 of assessing the economic viability of agricultural decisions, such as which crops to grow in future seasons, or predicting crop yield.
Payment is at the level of E13 according to the German federal wage agreement scheme (TV-L). Candidates are expected to have a strong background in computer science and mathematics, with a specialisation in machine learning and interest in the topic of one of the positions. Prior knowledge in the field of deep learning in one of the subject areas is advantageous.
Please send your application (letter of motivation, curriculum vitae, academic records) at your earliest convenience, but no later than August 25th, 2023, to Prof. Dr. Andreas Hotho (dmir-jobs(a)uni-wuerzburg.de). You are welcome to contact us on the same address for additional details.
[1] https://bigdata-at-geo.eu/
*** Call for Late Breaking Results ***
10th International Conference on Behavioural and Social Computing (BESC 2023)
October 30 - November 1, 2023, 5* Golden Bay Beach Hotel, Larnaca, Cyprus
http://besc-conf.org/2023/
(*** Submission Deadline: 31 August, 2023 AoE ***)
The International Conference on Behavioural and Social Computing (BESC) is a major
international forum that brings together academic researchers and industry practitioners from
artificial intelligence, computational social sciences, natural language processing, business
and marketing, and behavioural and psychological sciences to present updated research
efforts and progresses on foundational and emerging interdisciplinary topics of BESC,
exchange new ideas and identify future research directions.
The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and
Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) and the
proceedings are published by IEEE
BESC 2023 invites now submissions for Late Breaking Results. The submitted papers should be
of original, high-quality research addressing cutting-edge developments from all areas of
behavioural and social computing. The conference aims to bring together researchers and
practitioners from academia and industry to share their knowledge, experience, and
perspectives on the latest trends, challenges, and opportunities in this rapidly evolving field.
Topics of interest include, but are not limited to:
Social Computing, Computational Social Science and Applications
• Computational models of social phenomena
• Social behaviour
• Social network analysis
• Semantic web
• Collective intelligence
• Security, privacy, trust in social contexts
• Social recommendation
• Social influence and social contagions
• Quantifying offline phenomena through online data
• Forecasting of social phenomena
• Science and technology studies approaches to computational social science
• Social media and health behaviours
• Social psychology and personality
• New theories, methods, and objectives in computational social science
Digital Humanities
• Digital media
• Digital humanities
• Digital games and learning
• Digital footprints and privacy
• Crowd dynamics
• Digital arts
• Digital healthcare
• Activity streams and experience design
• Virtual communities (e.g., open-source, multiplayer gaming, etc.)
Information Management and Information Systems (IS)
• Decision analytics
• E-Business
• Decision analytics
• Computational finance
• Societal impacts of IS
• Human behaviour and IS
• IS in healthcare
• IS security and privacy
• IS strategy, structure and organizational impacts
• Service science and IS
Natural Language Processing
• Web mining and its social interpretations
• Sentiment Analysis, Stylistic Analysis, and Argument Mining
• Opinion mining and social media analytics
• Credibility of online content
• Computational Linguistics
• Mining big social data
• Cognitive Modelling and Psycholinguistics
Behaviour and User Modelling, Privacy, and Ethics
• Behaviour change
• Positive technology
• Personalization for individuals, groups and populations
• Large scale personalization, adaptation and recommendation
• Web dynamics and personalization
• Privacy, perceived security and trust
• Technology and Wellbeing
• Ethics of computational research on human behaviour
Technology Enhanced Learning (TEL)
• E-Learning and M-Learning
• Open and Distance Learning
• User modeling and personalization in TEL
• TEL in secondary and in higher education
• New tools for TEL
BESC 2023 will also host the following Special Sessions. Papers accepted in any of the Special
Sessions will be included in the same IEEE conference proceedings with the papers accepted
for the general technical program.
● Computational Social Psychology in Post Covid-19 Period
● Artificial Intelligence for Mental Health, Mental Illness, Psychiatic Diagnosis, and
Prediction
● Intelligent E-Learning at Post Covid-19 Era
● Big Data and AI-Powered Decision Support Systems in Business
● Understanding the Citizen's Behavior in Cognitive Cities
● Nudges and Behavioural Computing Models for a Sustainable and Equitable
Development
SUBMISSION INSTRUCTIONS
The paper submission system is using Easy Chair and the submission link is:
https://easychair.org/conferences/?conf=besc2023 .
All papers will be reviewed by the Program Committee on the basis of technical quality,
relevance to BESC 2023, originality, significance and clarity.
Please note:
• All submissions should use IEEE two-column style. Templates are available here:
https://www.ieee.org/conferences/publishing/templates.html
• All papers must be submitted electronically through the paper submission system in PDF
format only. BESC 2023 accepts research papers (6 pages), special session papers (6 pages)
and Doctoral Symposium papers (4 pages).
• The page count above excludes the references (but includes any appendices).
• Paper review will be double-blind, and submissions not properly anonymized will be
desk-rejected without review.
• Submitted papers must not substantially overlap with papers that have been published or
that are simultaneously submitted to a journal or a conference with proceedings.
• Papers must be clearly submitted in English and will be selected based on their originality,
timeliness, significance, relevance, and clarity of presentation.
• Submission of a paper should be regarded as a commitment that, should the paper be
accepted, at least one of the authors will register and attend the conference to present the
work.
• The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the
acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The
sections of the paper that use AI-generated text shall have a citation to the AI system used to
generate the text.
• All accepted papers will be included in IEEE Xplore and indexed by EI. Top quality papers
after presented in the conference will be selected for extension and publication in several
special issues of international journals, e.g., World Wide Web Journal (Springer), Web
Intelligence (IOS Press), and Social Network Analysis and Mining (Springer), Human-Centric
Intelligent Systems (Springer), Information Discovery and Delivery (Emerald Publishing).
IMPORTANT DATES
• Submission of all papers in the LBR category: 31 August 2023 AoE
• Notification of acceptance for submitted papers: 15 September 2023
• Camera-Ready Submission: 1 October 2023
• Author Registration: 1 October 2023
ORGANISATION
Steering Committee Chair
• Guandong Xu, University of Technology Sydney, Australia
General Chair
• George A. Papadopoulos, University of Cyprus, Cyprus
Program Chairs
• Georgia Kapitsaki, University of Cyprus, Cyprus
• Ji Zhang, University of Southern Queensland, Australia
Special Session Chairs
• Taotao Cai, University of Southern Queensland, Australia
• Ting Yu, Zhejiang Lab, China
Doctoral Symposium Chair
• Barbara Caci, University of Palermo, Italy
Panel and Tutorial Chair
• Philippe Fournier-Viger, Shenzhen University, China
Proceedings Chair
• Md Rafiqul Islam, University of Technology Sydney, Australia
Publicity Chairs
• Chandan Gautam, Institute for Infocomm Research (I2R), A*STAR, Singapore
• Thanveer Shaik, University of Southern Queensland, Australia
• Sanjay Sonbhadra, ITER, Siksha 'O' Anusandhan, India
Webmaster
• Shiqing Wu, University of Technology Sydney, Australia
**************************************************************
16th Workshop on Building and Using Comparable Corpora (BUCC)
with Shared Task on Multilingual Terminology Extraction
from Comparable Specialized Corpora
Co-located with RANLP 2023
September 7, 2023
Workshop website: https://comparable.limsi.fr/bucc2023/
Shared task website: https://comparable.limsi.fr/bucc2023/bucc2023-task.html
RANLP website: http://ranlp.org/ranlp2023/
Workshop proceedings to be published in ACL Anthology
Invited speaker: Sida I. Wang, Meta AI (FAIR)
**************************************************************
MOTIVATION
In the language engineering and the linguistics communities, research in
comparable corpora has been motivated by two main reasons. In language
engineering, on the one hand, it is chiefly motivated by the need to use
comparable corpora as training data for statistical NLP applications
such as statistical and neural machine translation or cross-lingual
retrieval. In linguistics, on the other hand, comparable corpora are of
interest because they enable cross-language discoveries and comparisons.
It is generally accepted in both communities that comparable corpora
consist of documents that are comparable in content and form in various
degrees and dimensions across several languages. Parallel corpora are on
the one end of this spectrum, unrelated corpora on the other.
Comparable corpora have been used in a range of applications, including
Information Retrieval, Machine Translation, Cross-lingual text
classification, etc.? The linguistic definitions and observations
related to comparable corpora can improve methods to mine such corpora
for applications of statistical NLP, for example to extract parallel
corpora from comparable corpora for neural MT. As such, it is of great
interest to bring together builders and users of such corpora.
TOPICS
We solicit contributions on all topics related to comparable (and
parallel) corpora, including but not limited to the following:
Building Comparable Corpora:
* Automatic and semi-automatic methods
* Methods to mine parallel and non-parallel corpora from the web
* Tools and criteria to evaluate the comparability of corpora
* Parallel vs non-parallel corpora, monolingual corpora
* Rare and minority languages, across language families
* Multi-media/multi-modal comparable corpora
Applications of comparable corpora:
* Human translation
* Language learning
* Cross-language information retrieval & document categorization
* Bilingual and multilingual projections
* (Unsupervised) Machine translation
* Writing assistance
* Machine learning techniques using comparable corpora
Mining from Comparable Corpora:
* Cross-language distributional semantics, word embeddings and
pre-trained multilingual transformer models
* Extraction of parallel segments or paraphrases from comparable corpora
* Methods to derive parallel from non-parallel corpora (e.g. to provide
for low-resource languages in neural machine translation)
* Extraction of bilingual and multilingual translations of single words,
multi-word expressions, proper names, named entities, sentences,
paraphrases etc. from comparable corpora
* Induction of morphological, grammatical, and translation rules from
comparable corpora
* Induction of multilingual word classes from comparable corpora
Comparable Corpora in the Humanities:
* Comparing linguistic phenomena across languages in contrastive linguistics
* Analyzing properties of translated language in translation studies
* Studying language change over time in diachronic linguistics
* Assigning texts to authors via authors' corpora in forensic linguistics
* Comparing rhetorical features in discourse analysis
* Studying cultural differences in sociolinguistics
* Analyzing language universals in typological research
IMPORTANT DATES
July 31, 2023: Paper submission deadline (extended)
August 12, 2023: Notification of acceptance
August 25, 2023: Camera ready final papers
September 7, 2023: Workshop date
For updates see the workshop website at
https://comparable.limsi.fr/bucc2023/
PRACTICAL INFORMATION
Workshop registration is via the main conference registration site,
see http://ranlp.org/ranlp2023/index.php/fees-registration/
The workshop proceedings will be published in the ACL Anthology.
SUBMISSION GUIDELINES
Please follow the style sheet and templates (for LaTeX, Overleaf and
MS-Word) provided for the main conference at
http://ranlp.org/ranlp2023/index.php/submissions/
Papers should be submitted as a PDF file using the START conference
manager at https://softconf.com/ranlp23/BUCC/
Submissions must describe original and unpublished work and range
from 4 to 8 pages plus unlimited references.
Reviewing will be double blind, so the papers should not reveal the
authors' identity. Accepted papers will be published in the workshop
proceedings, which will be included in the ACL Anthology.
Double submission policy: Parallel submission to other meetings or
publications is possible but must be immediately (i.e. as soon as known
to the authors) notified to the workshop organizers by e-mail.
For further information and updates see the BUCC 2023 website:
https://comparable.limsi.fr/bucc2023/
BUCC 2023 SHARED TASK
Bilingual Term Alignment in Comparable Specialized Corpora
The BUCC 2023 shared task is on multilingual terminology alignment in
comparable corpora. Many research groups are working on this problem
using a wide variety of approaches. However, as there is no standard way
to measure the performance of the systems, the published results are not
comparable and the pros and cons of the various approaches are not
clear. The shared task aims at solving these problems by organizing a
fair comparison of systems. This is accomplished by providing corpora
and evaluation datasets for a number of language pairs and domains.
Moreover, the importance of dealing with multi-word expressions in
Natural Language Processing applications has been recognized for a long
time. In particular, multi-word expressions pose serious challenges for
machine translation systems because of their syntactic and semantic
properties. Furthermore, multi-word expressions tend to be more
frequent in domain-specific text, hence the need to handle them in tasks
with specialized-domain corpora.
Through the 2023 BUCC shared task, we seek to evaluate methods that
detect pairs of terms that are translations of each other in two
comparable corpora, with an emphasis on multi-word terms in specialized
domains.
For the schedule and further details see the shared task website at
https://comparable.limsi.fr/bucc2023/bucc2023-task.html
WORKSHOP ORGANIZERS
* Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of
Applied Sciences, Germany)
* Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France)
* Serge Sharoff (University of Leeds, United Kingdom)
Contact workshop: reinhardrapp (at) gmx (dot) de
Contact shared task: pz (at) lisn (dot) fr
PROGRAMME COMMITTEE
* Ebrahim Ansari (Institue for Advanced Studies in Basic Sciences, Iran)
* Thierry Etchegoyhen (Vicomtech, Spain)
* Philippe Langlais (Université de Montréal, Canada)
* Yves Lepage (Waseda University, Japan)
* Shervin Malmasi (Amazon, USA)
* Emmanuel Morin (Université de Nantes, France)
* Dragos Stefan Munteanu (RWS, USA)
* Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of
Applied Sciences, Germany)
* Nasredine Semmar (CEA LIST, Paris, France)
* Serge Sharoff (University of Leeds, UK)
* Richard Sproat (OGI School of Science & Technology, USA)
* Tim Van de Cruys (KU Leuven, Belgium)
* Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France)
_______________________________________________
GSCL-Mitglieder mailing list
GSCL-Mitglieder(a)lists.ids-mannheim.de
https://lists.ids-mannheim.de/mailman/listinfo/gscl-mitglieder
[apologies for cross-posting]
BioRED track @ BioCreative VIII Challenge and Workshop
Where, When:
The BioCreative VIII workshop<BioCreative%20VIII%20workshop> will run with AMIA 2023, November 11-15, 2023, In New Orleans, LA.
BioCreative VIII Track 1:
BioRED (Biomedical Relation Extraction Dataset) Track. (Rezarta Islamaj and Zhiyong Lu)
This track aims to foster the development of systems that automatically extract biomedical relations in journal articles, and the final resource -- freely available to the community -- will consist of 1000 MEDLINE articles fully annotated with biological and medically relevant entities, biomedical relations between them, and the novelty of the relation (whether the relation is a key point of the article versus background knowledge that can be found elsewhere). The participants will use the training data (600 articles) to design and develop their NLP systems to extract asserted relationships from free text and are encouraged to classify relations that are novel findings. In the BioCreative setting we will enrich the BioRED training dataset with 400 recently published MEDLINE articles fully annotated, bringing this valuable resource to 1000 articles. This track serves as a continuation of previous BioCreative Workshops that addressed the individual extraction of bio entities and/or specific relations such as disease-gene, protein-protein, or chemical-chemical, in biomedical articles. In contrast from previous challenges, this track calls for the extraction of all semantic relations expressed in the article and their novelty factor.
Participation:
Teams can participate in one or more of these tracks. Team registration will continue until final commitment is requested by the individual tracks.
To register a team go to the Registration form<https://urldefense.com/v3/__https:/forms.gle/cwEPevGPjrjm687z5__;!!KOmnBZxC…>. If you have restrictions accessing Google forms please send e-mail to BiocreativeChallenge(a)gmail.com<mailto:BiocreativeChallenge@gmail.com>
Key dates:
* Test data (only title/abstract) available: September 1, 2023
* Results Submission (sub-task 2, end-to-end system): September 7, 2023
* Test data (title/abstract and entity annotation) available: September 8, 2023
* Results Submission (sub-task 1, relation extraction): September 12, 2023
* Short technical systems description paper due: September 30, 2023
* Invites for presentation at the workshop: October 10, 2023
Workshop Proceedings and Special Issue:
The BioCreative VIII Proceedings will host all the submissions from participating teams, and it will be freely available by the time of the workshop.
In addition, we are happy to announce that the journal Database will host the BioCreative VIII special issue for work that has passed their peer-review process. Invitation to submit will be sent after the workshop.
More Information:
Webpage<https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-1/>
Organizing Committee
* Rezarta Islamaj, National Library of Medicine
* Po-Ting Lai, National Library of Medicine
* Chih-Hsuan Wei, National Library of Medicine
* Ling Luo, Dalian University of Technology
* Zhiyong Lu, National Library of Medicine
Hello All,
Computational Social Science Group (https://css.cs.ut.ee/) is looking for
PhD and Postdoctoral applicants which starts this autumn or ASAP !
What is the topic about?
====================
We are interested in topics related to misinformation, media biasness
(fairness and explainability) on online social media. We are also open to
other topics if they overlap with the interests of our group. Please do
contact if you are interested at contact(a)css.cs.ut.ee
Why join us?
====================
You'll be part of Estonia's esteemed University of Tartu Institute of
Computer Science (https://cs.ut.ee/en) which is in the modern Delta Centre (
https://delta.ut.ee/en/), a beacon of technological innovation and research
excellence.
Scholarship/Salary: For PhD applicants, the gross salary is 2000 Euros per
month for four years, and for postdocs, it will be 2500 Euros gross per
month. We will support research related travels and there is no tuition
fees for PhD students.
Education Qualification: For PhD applicants, master's degree is required
and for postdoc, PhD degree should be in hand. We are open to discuss
positions with non-computer science students (who have good programming
knowledge).
Kind Regards
Rajesh Sharma
Associate Prof, and Erasmus+ Coordinator,
Institute of Computer Science,
Head, Computational Social Science Group,
University of Tartu, Estonia.
Email: rajesh.sharma(a)ut.ee
https://cs.ut.ee/en
Dear List Members,
You still have until 31st July (inclusive) to benefit from the Early Bird Discount when registering for the CMC-Corpora Conference 2023 in Mannheim, Germany on 14-15th September 2023.
Registration is via EasyChair using the link: https://www.uni-mannheim.de/cmc-corpora2023/registration
Keynote Speakers:
Unn Røyneland (University of Oslo)
Tatjana Scheffler (Ruhr University of Bochum)
The conference programme and list of talks are available here: https://www.uni-mannheim.de/cmc-corpora2023/programme
We look forward to seeing you in Mannheim in September!
The CMC-Corpora Conference 2023 organising committee
Jutta Bopp, Louis Cotgrove, Laura Herzberg, Harald Lüngen, Andreas Witt
Third call for papers DHASA Conference 2023
https://dh2023.digitalhumanities.org.za/
Theme: "Digital Humanities for Inclusion"
The Digital Humanities Association of Southern Africa (DHASA) is
pleased to announce its fourth conference, focusing on the theme
"Digital Humanities for Inclusion." In a region where the field of
Digital Humanities is still relatively underdeveloped, this conference
aims to address this gap and foster growth and collaboration in the
field. The conference offers an opportunity for researchers interested
in showcasing their work in the broad field of Digital Humanities to
come together. By doing so, the conference provides a comprehensive
overview of the current state-of-the-art in Digital Humanities,
particularly within the Southern Africa region. As such, we welcome
submissions related to Digital Humanities research conducted by
individuals from Southern Africa or research focused on the
geographical area of Southern Africa.
Furthermore, the conference serves as a platform for information
sharing and networking among researchers passionate about Digital
Humanities. By bringing together experts working on Digital Humanities
in Southern Africa or with a focus on Southern Africa, we aim to
promote collaboration and facilitate further research in this dynamic
field. In addition to the main conference, affiliated workshops and
tutorials will be organized, providing researchers with valuable
insights into novel technologies and tools. These supplementary events
are designed for researchers interested in specific aspects of Digital
Humanities or seeking practical information to enter or advance their
knowledge in the field.
The DHASA conference welcomes interdisciplinary contributions from
researchers in various domains of Digital Humanities, including, but
not limited to, language, literature, visual art, performance and
theatre studies, media studies, music, history, sociology, psychology,
language technologies, library studies, philosophy, methodologies,
software and computation, and more. Our goal is to cultivate an
inclusive scientific community of practice within Digital Humanities.
Suggested topics include the following:
* Digital archives and the preservation of marginalized voices;
* Intersectionality and the digital humanities: exploring the
intersections of race, gender, sexuality, and class in digital research
and activism;
* Activism and social change through digital media: how digital
humanities tools and methodologies can be used to promote inclusion;
* Engaging marginalized communities in the creation and use of digital
tools and resources;
* Exploring the role of digital humanities in decolonizing knowledge
and promoting indigenous perspectives;
* The ethics of data collection and analysis in digital humanities
research related;
* The role of digital humanities in promoting inclusive and equitable
pedagogy;
* Digital humanities and inclusion in the context of global
perspectives and international collaborations;
* Critical approaches to digital humanities and inclusion: examining
the limitations and possibilities of digital tools and methodologies in
promoting inclusion; and
* Collaborative digital humanities projects with non-profit
organizations, community groups, and cultural institutions; * Any other
digital humanities-related topic that serves the Southern African
community.
Submission Guidelines
The DHASA conference 2023 asks for three types of submissions:
* Long papers: Authors may submit long papers consisting of a maximum
of 8 content pages and unlimited pages for references and appendix. The
final versions of accepted long papers will be granted an additional
page (up to 9 pages) to incorporate reviewers' comments.
* Short papers: Authors may submit short papers with a maximum of 5
content pages and unlimited pages for references and appendix. The
final versions of accepted short papers will be allowed an extra page
(up to 6 pages) to accommodate reviewers' comments. Short papers
accepted for the conference will be presented as posters.
* Abstracts: Authors can submit abstracts of 250-300 words.
Note that before submitting your contribution, you are required to
submit an abstract before the abstract submission deadline. This holds
for *all* submissions. The actual submission will need to be submitted
before the submission deadline.
More information on the submission process can be found on the
submission page: https://dh2023.digitalhumanities.org.za/submission/
We particularly encourage student submissions where the first author is
a student.
All accepted long and short paper submissions that are presented at the
conference will be published in the Journal of Digital Humanities
Association of Southern Africa, see
https://upjournals.up.ac.za/index.php/dhasa. In addition, the abstracts
of the full papers and the lightning talks will be published in a book
of abstracts before the conference.
Important dates
Abstract submission deadline: 8 August 2023
Ful paper submission deadline: 15 August 2023
Date of notification: 30 September 2023
Camera-ready copy deadline: 6 November 2023
Conference: 27 November 2023 - 1 December 2023
Conference format: Face-to-face
Conference venue: Nelson Mandela University, Eastern Cape South Africa
NOTE: Non-presenting delegates have the option to attend online.
Co-located events
Several co-located events are currently being prepared. These will be
updated on the conference website.
Organizing Committee
* Johannes Sibeko, Nelson Mandela University
* Aby Louw, Council for Scientific and Industrial Research
* Alan Murdoch, Nelson Mandela University
* Amanda du Preez, University of Pretoria
* Andiswa Bukula, South African Centre for Digital Language Resources
* Andiswa Mvanyashe, Nelson Mandela University
* Avashna Govender, Council for Scientific and Industrial Research
* Gabby Dlamini, Nelson Mandela University
* Ilana Wilken, Council for Scientific and Industrial Research
* Jonathan van der Walt, Nelson Mandela University
* Laurette Marais, Council for Scientific and Industrial Research
* Mukhtar Raban, Nelson Mandela University
* Nomfundo Khumalo, Nelson Mandela University
* Menno Van Zaanen, South African Centre for Digital Language Resources
--
Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za
Professor in Digital Humanities
South African Centre for Digital Language Resources
https://www.sadilar.org
________________________________
NWU PRIVACY STATEMENT:
http://www.nwu.ac.za/it/gov-man/disclaimer.html
DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system.
________________________________
Research Associate (English linguistics) for the project “Predicting
COVID-19 Vaccination Uptake from Public Discourse”
https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=7d287ef…
Start date 01.10.2023
Application deadline 20.08.2023
The Department of English at the University of Hamburg is seeking a
Research Associate to join a team of researchers working on an
interdisciplinary project, funded through the Cross-Disciplinary Labs
initiative, titled "Predicting COVID-19 Vaccination Uptake from Public
Discourse: A Machine Learning Approach". In this project, we will
explore the relationship between public discourse and COVID-19
vaccination uptake and how to use real world data from Germany and
England to track public opinion on COVID-19 vaccination, with the
ultimate aim of identifying strategies to increase the uptake of
COVID-19 vaccinations. The analysis will apply big data and machine
learning techniques to Twitter data and will link these to information
on local vaccination rates. From a policy perspective, the output of
this project will inform public health responses in real time in future
pandemics. At the heart of the project is an interdisciplinary approach,
combining health economics and linguistics with new methods from data
science.
The successful candidate will work under the supervision of Professor
Robert Fuchs (English Linguistics) and will join a vibrant working group
focused on research in the fields of data-intensive discourse analysis,
varieties of English and Learner Corpus Research (see
https://sites.google.com/view/rflinguistics/home). We offer flexible
working arrangements, a supportive research environment and the
opportunity for professional growth through skills development in
cutting edge research methods in linguistics and data science.
Specific duties of the Research Associate include the collection and
analysis of Twitter data, the preparation and co-authorship of research
publications and conference presentations, participation in
international conferences as well as contributing to the strengthening
of data science at the University of Hamburg through the
Cross-Disciplinary Labs network. The position does not involve any
teaching duties. The Research Associate is also encouraged to work
towards a PhD, the topic of which should be broadly aligned with the
Principal Investigator’s research interests, and may be, but does not
need to be, connected to the project.
Applicants need to be in possession of a Master’s degree (or equivalent)
by the starting date of the position.
Applications should include a cover letter explaining the candidate’s
qualifications and interest in the position, a CV, copies of Bachelor’s
and Master’s degree certificates (where applicable), a representative
piece of writing (e.g. MA thesis, term paper) demonstrating the
candidate’s skills in academic writing, data analysis and/or English
linguistics , as well as a PhD proposal (optional, no more than five pages).
Requirements
A university degree in a relevant field.
excellent proficiency in English
excellent skills in academic writing
experience with the statistical analysis of linguistic data (esp. with R
and/or Python), the analysis of metaphorical language, corpus
linguistics and/or discourse analysis are of advantage
--
Prof. Dr. Robert Fuchs (JP) | Department of English Language and
Literature/Institut für Anglistik und Amerikanistik | University of
Hamburg | Überseering 35, 22297 Hamburg, Germany | Room 07076 |
https://uni-hamburg.academia.edu/RobertFuchs |
https://sites.google.com/view/rflinguistics/
Mailing list on varieties of English/World Englishes/ENL-ESL-EFL.
Subscribe here: https://groups.google.com/forum/#!forum/var-eng/join
Are you a non-native speaker of English? Please help us by taking this
short survey on when and how you use the English language:
https://lamapoll.de/englishusageofnonnativespeakers-1/