CALL FOR PARTICIPATION
IBERLEF 2023 Task - FinancES. Financial Targeted Sentiment Analysis in
Spanish
Held as part of iberLEF 2023 <https://sites.google.com/view/iberlef-2023>,
a shared evaluation campaign for Natural Language Processing (NLP) systems
in Spanish and other Iberian languages
September 26th 2023, Jaen
Codalab link: https://codalab.lisn.upsaclay.fr/competitions/10052
Dear All,
We are inviting researchers and students to participate in the
shared-task FinancES.
Financial Targeted Sentiment Analysis in Spanish held as part of iberLEF
2023, shared evaluation campaign for Natural Language Processing (NLP)
systems in Spanish and other Iberian languages.
This shared task aims to explore targeted sentiment analysis in the
financial domain. Specifically, the approach adopted here is grounded in
the field of microeconomics. In this regard, Bowles (2004) explains the
role of economic agents, that is to say, individuals or organizations
impacting the economy. The author states that the main microeconomic agents
in the capital market are consumers (households/individuals), companies
(firms), governments, and central banks. Consequently, in order to develop
a sentiment analysis method where different viewpoints are considered,
three different perspectives are included: (1) economic target of the news
item; (2) individual economic agent: companies; and (3) individual economic
agent: consumers –the target is the sector where the economic fact applies,
and companies produce the goods and services that households/individuals
consume. From these three viewpoints, the news item has an impact on the
target and the economic agents which are considered as positive, negative,
or neutral. With all, two tasks are proposed. On the one hand, a task
combining the challenges of aspect-term extraction for identifying the
target entity in text, and aspect-based sentiment classification for
determining the sentiment polarity towards the target. On the other hand, a
task devoted to assessing the impact of a news headline on both other
economic agents, namely, companies and consumers.
The participants will be provided development, development_test, training
and test datasets in Spanish. The dataset for this task is composed of news
headlines written in Spanish collected from digital newspapers specialized
in economic, financial and political news. The dataset is labeled with the
target entity and the sentiment polarity on three dimensions: target,
companies, and consumers. That is, given a headline, it has been manually
classified as positive, neutral, or negative for three specific entities:
(1) target entity (i.e., the specific company or asset where the economic
fact applies), (2) companies (i.e., the entities producing the goods and
services that others consume), and (3) consumers (i.e.,
households/individuals). Each headline was annotated by three members of
the organization committee. In case of disagreement, the annotators
discussed the special case and, if no agreement was reached, the headline
was discarded. During this first step, we compiled about 14k headlines, the
headlines with a short length or those that did not specify a target entity
were filtered out. The final dataset is composed of 8k-10k news headlines.
For the shared tasks, training and test sets will be released (80%-20%).
In order to facilitate participation in the competition, a Google Colab
notebook has also been provided. In this notebook, it is shown how to load
the development dataset and how to train a baseline for both tasks based on
SpaCy for the identification of the main economic target and a Bag-of-Words
(BoW) with linear regression of the polarity of each dimension. In
addition, it is shown how to calculate the final F1-score of each task and
how to generate the final submission file. To download the data, the
notebook and participate, go to
https://codalab.lisn.upsaclay.fr/competitions/10052#participate.
Best regards,
The FinancES 2023 organizing committee
References
-
Bowles, S. (2004). Microeconomics: Behavior, institutions, and
evolution. Princeton University Press.
Important dates
-
Release of development corpora: Feb 13, 2023
-
Release of training corpora: Mar 13, 2023
-
Release of test corpora and start of evaluation campaign: Apr 17, 2023
-
End of evaluation campaign (deadline for runs submission): May 3, 2023
-
Publication of official results: May 5, 2023
-
Paper submission: May 28, 2023
-
Review notification: Jun 16, 2023
-
Camera ready submission: Jul 6, 2023
-
IberLEF Workshop (SEPLN 2023): Sep 26, 2023
-
Publication of proceedings: Sep ??, 2023
Organizing committee
-
José Antonio García-Díaz (UMUTeam,, Universidad de Murcia)
-
Ángela Almela Sánchez-Lafuente (UMUTeam, Universidad de Murcia)
-
Francisco García-Sánchez (UMUTeam, Universidad de Murcia)
-
Gema Alcaraz-Mármol (UMUTeam, Universidad de Castilla La Mancha)
-
María José Marín (UMUTeam, Universidad de Murcia)
-
Rafael Valencia-García (UMUTeam, Universidad de Murcia)
Symposium: Corpus Approaches to Lexicogrammar (LxGr2022)
Call for Papers
Deadline for abstract submission: Friday 31 March 2023
The symposium will take place online on Friday 7 and Saturday 8 July 2023.
Invited Speaker:
Gaëtanelle Gilquin<https://perso.uclouvain.be/gaetanelle.gilquin> (Université catholique de Louvain): Construction grammar and lexico-grammar, and why they matter to each other
If you would like to present, send an abstract of 500 words (excluding references) to lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. Make sure that the abstract clearly specifies the research focus (research questions or hypotheses), the corpus, the methodology (techniques and metrics), the theoretical orientation, and the main findings. Abstracts will be double-blind reviewed, and decisions will be communicated within four weeks.
Full papers will be allocated 35 minutes (including 10 minutes for discussion).
Work-in-progress reports will be allocated 20 minutes (including 5 minutes for discussion).
There will be no parallel sessions.
Participation is free.
The focus of LxGr is the interaction of lexis and grammar. The focus is influenced by Halliday's view of lexis and grammar as "complementary perspectives" (1991: 32), and his conception of the two as notional ends of a continuum (lexicogrammar), in that "if you interrogate the system grammatically you will get grammar-like answers and if you interrogate it lexically you get lexis-like answers" (1992: 64).
For more information and details of past symposia, see here: https://ehu.ac.uk/lxgr.
If you have any questions, contact lxgr(a)edgehill.ac.uk<mailto:lxgr@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
________________________________
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>
Dear All,
We are happy to introduce you to a new special session at Interspeech 2023
on:
"*New paradigms for simultaneous speech translation leveraging
paralinguistic and linguistic knowledge*"
More information about the special session is available here:
https://iwslt.org/2023/interspeech_special_session
Paper Deadline: *March 1st*
Please share broadly for a great & multi-disciplinary meeting!
Best regards,
Marco Turchi
on Behalf of the ISCA SIG Spoken Language Translation board
We are looking for postdocs to work with us on MENTALISM!
Over the last decade, discontent in democracy, mistrust in institutions, and the rise of populist parties have strained European societies. Underlying these tensions are often increasing inequalities in Western countries, which fuel the discontent of individuals. The Covid pandemic further exacerbated these problems, as anti-Covid measures taken by governments differently impacted societal groups. The MENTALISM project combines modern social media analysis with traditional survey data to track inequality across Italy through the lens of the pandemic. Our ground-breaking mixed-methods approach uses machine learning and text analysis to trace online grievances in a vast corpus of social media data. We combine these methods with survey protocols and econometric analysis to validate the findings and provide actionable policy advice. MENTALISM combines the advantages of social media data (high-frequency, individual-level information) with the strength of socio-economic surveys (representativeness). Our novel interdisciplinary approach will critically evaluate the value of social media monitoring for policy feedback. Moreover, it will establish protocols for policymakers to better respond to growing grievances brought on by inequality at various steps in the process.
Successful candidates will work closely with Profs. Carlo Schwarz (economics), Dirk Hovy (NLP), and the MilaNLP lab.
Your profile:
a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields.
Strong interest in computational social science
Excellent programming skills in Python. Additional languages (C++, R, etc) a plus.
Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.
Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.).
Experience with publications in top-tier venues in the field of NLP/Computational Linguistics.
Position Details:
Starting date: March 1 2023, or any time thereafter
Duration: 1 year
Deadline: 18th February 2023
Salary: 42k EUR p.a. (median salary Milan: 37k EUR). Applicants from outside Italy may qualify for a researcher taxation scheme
Date posted: 18th January 2023
How to apply:
Go to the Bocconi postdoc job market page <https://jobmarket.unibocconi.eu/?type=a&urlBack=/wps/wcm/connect/bocconi/si…> and search for “BAFFI CAREFIN”. There are two positions, in13/A1 ECONOMICS and 01/B1 INFORMATICS. You will then have to click on “Apply online” for proceeding with the application. Official job description at this link <https://jobmarket.unibocconi.eu/include/dwload.php?a=MzQxXjE1YzQzZDE3NTVmOT…>. Candidates should attach publications and a cover letter to their application. Online interviews will presumably take place during March 2023.
Please contact dirk.hovy(a)unibocconi.it <mailto:dirk.hovy@unibocconi.it> if you have any questions.
Greetings,
InqBnB4 workshop: Inquisitiveness Below and Beyond the Sentence Boundary
Nancy (France), 20 June 2023, hosted by IWCS 2023
https://iwcs2023.loria.fr/inqbnb4-inquisitiveness-below-and-beyond-the-sent…
InqBnB is a workshop series bringing together researchers interested in the semantics and
pragmatics of interrogatives (questions or embedded interrogative clauses). This series was
originally organized by the Inquisitive Semantics Group of the Institute for Logic, Language
and Computation (ILLC) from the University of Amsterdam. As such, the focus point mainly
revolves around analyses using or related to inquisitive semantics.
After three successful editions in the Netherlands, we hope to open the inquisitive community
to a wider audience. The 4th edition is planned on 20 June 2023, just before IWCS 2023
(Internation Conference on Computational Semantics). As invited speakers we are welcoming
Wataru Uegaki (University of Edinburgh) and one other to be announced.
InqBnB4 invites submissions on original and unpublished research focussed on the properties
of inquisitive content. We are mainly interested in theoretical questions, formal models and
empirical work. But we are also welcoming papers based on statistical or neural models,
provided their main goal is to bring new insights regarding inquisitiveness.
Here are some examples of questions of interest:
* Which operators (connectives, quantifiers, modals, conditionals) generate inquisitiveness?
* How do these operators project the inquisitive content of their arguments?
* e.g. what triggers maximality, exhaustivity or uniqueness of readings?
* How does inquisitive content interact with informative content in compositional semantics?
* e.g. how do interrogative words interact with negative polarity items, free choice items,
indefinites or plurality?
* How do conventions of use interact with inquisitive content?
* e.g. how can non-answering responses (e.g. clarification questions) be handled?
* In which ways is pragmatics sensitive to inquisitive content?
* e.g. how does answer bias and ignorance inferences arise?
* What kind of discourse anaphora are licensed by inquisitive expressions?
* e.g. does dynamic inquisitive semantics manage to correctly derive donkey anaphora?
*Submission:*
Submission link on SoftConf:
https://softconf.com/iwcs2023/inqbnb4/
Sumitted papers must not exceed eight (8) pages (not counting acknowledgement,
references and appendices). Accepted papers get an extra page in the camera-ready version.
Submitted papers should be formatted following the common two-column structure as used by
ACL. Please use the specific style-files or the Overleaf template for IWCS 2023, taken from
ACL 2021. Initial submissions should be fully anonymous to ensure double-blind reviewing.
The proceedings will be published in the ACL anthology.
*Important dates:*
* Submission deadline: 14 April
* Author notification: 12 May
* Camera ready: 9 June
* Workshop day: 20 June
*Organizers:*
* Valentin D. Richard [1], Loria, Universit�� de Lorraine
* Philippe de Groote [2], Loria, INRIA Nancy ��� Grand Est
* Floris Roelofsen [3], ILLC, Universiteit van Amsterdam
*Programme committee:*
* Local chair: Valentin D. Richard, Universit�� de Lorraine
* Chair: Floris Roelofsen, Universiteit van Amsterdam
* Lucas Champollion [4], New York University (NYU)
* Jonathan Ginzburg [5], Universit�� Paris Cit��
* Philippe de Groote [2], INRIA Nancy ��� Grand Est
* Jakub Dotla��il [6], Universiteit Utrecht
* Reinhard Muskens [7], Universiteit van Amsterdam
* Maribel Romero [8], Universit��t Konstanz
* Wataru Uegaki [9], University of Edinburgh
* Yimei Xiang [10], Rutgers Linguistics
[1] https://valentin-d-richard.fr/
[2] https://members.loria.fr/PdeGroote/
[3] https://www.florisroelofsen.com/
[4] https://champollion.com/
[5] http://www.llf.cnrs.fr/fr/Gens/Ginzburg
[6] http://www.jakubdotlacil.com/
[7] http://freevariable.nl/
[8] https://ling.sprachwiss.uni-konstanz.de/pages/home/romero/
[9] https://www.wataruuegaki.com/
[10] https://yimeixiang.wordpress.com/
CALL FOR PARTICIPATION
EVALITA 2023 Task - PoliticIT: Political ideology detection in Italian texts
Held as part of EVALITA 2023
<https://www.evalita.it/campaigns/evalita-2023/>, a periodic evaluation
campaign of Natural Language Processing and speech tools for the Italian
language
September 7th-8th 2023, Parma
Codalab link: https://codalab.lisn.upsaclay.fr/competitions/8507
Dear All,
We are inviting researchers and students to participate in the
shared-task PoliticIT:
Political ideology detection in Italian texts held as part of EVALITA 2023,
the evaluation campaign of Natural Language Processing and speech tools for
the Italian language.
The goal of this task is to extract political ideology information from
Italian texts. For this, an automatic document classification task on
clusters of texts is proposed. It consists of extracting the self-assigned
gender as demographic trait, and the political ideology as a psychographic
trait from a set of texts written in Italian from several authors that
share those traits. Political ideology is considered as a binary and as a
multiclass problem. The PoliticIT shared task is based on a previous task
named PoliticES presented at IberLEF 2022 (García-Díaz et. al. 2022b) where
the dataset was an extension of the PoliCorpus 2020 dataset (García-Díaz et
al., 2022a).
The participants will be provided development, development_test, training
and test datasets in Italian. The corpus was collected between 2020 and
2022 from the Twitter accounts of politicians in Italy using the
UMUCorpusClassifier (García-Díaz et al., 2020). We created clusters of
texts mixing some of these extracted tweets in order to prevent ethical and
privacy issues about author profiling in Twitter. Consequently, all the
clusters are composed of texts written by different users that share all
the traits under evaluation. We labelled each cluster with his or her
self-assigned gender (male, female) and political spectrum on two axes:
binary (left, right) and multiclass (left, moderate_left, moderate_right,
right). Moreover, the Twitter mentions of the politicians were anonymised
by replacing them with the token @user. In addition, other Twitter accounts
mentions were also encoded as @user. Consequently, the text traits cannot
be guessed trivially by reading politician's names and searching
information on them on the Internet. The dataset is composed of different
clusters with around 80-100 tweets.
Moreover, in order to facilitate participation in the competition, a
Google Colab notebook will be provided. In this notebook, it is shown how
to load the development dataset and how to train 3 baselines models based
on logistic regression with a simple Bag-of-Words (BoW) model for each
trait (self_assigned_gender, ideology_binary and ideology_multiclass). In
addition, it is shown how to calculate the final F1-score of each model and
how to generate the final submission file. To download the data, the
notebook and participate, go to
https://codalab.lisn.upsaclay.fr/competitions/8507.
Best regards,
The PoliticIT 2023 organizing committee
References
-
García-Díaz, J. A., Almela, Á., Alcaraz-Mármol, G., & Valencia-García,
R. (2020). UMUCorpusClassifier: Compilation and evaluation of linguistic
corpus for Natural Language Processing tasks. Procesamiento del Lenguaje
Natural, 65, 139-142.
-
García-Díaz, J. A., Colomo-Palacios, R., & Valencia-García, R. (2022a).
Psychographic traits identification based on political ideology: An author
analysis study on Spanish politicians’ tweets posted in 2020. Future
Generation Computer Systems, 130(1), 59-74.
-
García-Díaz, J. A., Jiménez Zafra, S. M., Martín Valdivia, M. T.,
García-Sánchez, F., Ureña López, L. A., & Valencia García, R. (2022b).
Overview of PoliticEs 2022: Spanish Author Profiling for Political
Ideology. Procesamiento del Lenguaje Natural, 69, 265-272.
Important dates
-
Release of development corpora: Jan 31, 2023
-
Release of training corpora: Feb 7, 2023
-
Release of test corpora and start of evaluation campaign: May 2, 2023
-
End of evaluation campaign (deadline for runs submission): May 19, 2023
-
Publication of official results: May 30, 2023
-
Paper submission: Jun 14, 2023
-
Review notification: Jul 10, 2023
-
Camera ready submission: Jul 25, 2023
-
EVALITA Workshop: Parma, Sep 7th-8th, 2023
-
Publication of proceedings: Sep ??, 2023
Organizing committee
-
Daniel Russo (Language and Dialogue Technologies group at Fondazione
Bruno Kessler (FBK), UniTn)
-
Salud María Jiménez-Zafra (SINAI research group, Universidad de Jaén,
Spain)
-
José Antonio García-Díaz (UMUTeam research group, Universidad de Murcia,
Spain)
-
Tommaso Caselli (Faculty of Arts, Rijksuniveristeit Groningen)
-
Marco Guerini (Language and Dialogue Technologies group at Fondazione
Bruno Kessler (FBK), UniTn)
-
L. Alfonso Ureña-López (SINAI research group, Universidad de Jaén, Spain)
-
Rafael Valencia-García (UMUTeam research group, Universidad de Murcia,
Spain)
[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 219
Campus Las Lagunillas s/n 23071 - Jaén | +34 953212992
[image: Universidad de Jaén] <http://www.uja.es/>
*SpkAtt-2023: Shared Task on Speaker Attribution in German News Articles
and Parliamentary Debates*
We are happy to announce a newshared task on Speaker Attribution in
German, as part of the GermEval Campaign, co-located with the Conference
for Natural Language Processing (KONVENS 2023) in Ingolstadt, Germany,
in Sep 2023.
The goal of this shared task is the identification of speakers in
political debates and in news articles, and the attribution of speech
events to their respective speakers. Being able to identify this
information automatically, i.e., identifying who says what to whom, is a
necessary prerequisite for a deep semantic analysis of unstructured text.
For more information about the shared task, including the task settings,
datasets, evaluation metrics and link to the registration form, please
visit the shared task website on CodaLab
(https://codalab.lisn.upsaclay.fr/competitions/10431) Important dates:
+
April 1, 2023 - Training and development data release
+
June 15, 2023 - Test data release (blind)
+
July 1, 2023 - Submissions open
+
July 31, 2023 - Submissions close
+
August 14, 2023 - System descriptions due
+
September 7, 2023 - Camera-ready system paper deadline
+
September 18-22, 2023 - Workshop at KONVENS 2023
Organising Team:Ines Rehbein, Simone Ponzetto (U-Mannheim) Fynn
Petersen-Frey, Chris Biemann (U-Hamburg) Josef Ruppenhofer, Annelen
Brunner (IDS Mannheim) Contacts: fynn.petersen-frey(a)uni-hamburg.de,
rehbein(a)uni-mannheim.de
--
Fynn Petersen-Frey
Universität Hamburg
Language Technology Group (LT)
House of Computing and Data Science (HCDS)
* Apologies for cross-posting *
Call for papers: SemDial 2023
Submissions date: June 16th, 2023
Submissions website:
https://easychair.org/conferences/?conf=semdial2023marilogue
# CALL FOR PAPERS
SemDial 2023 -- MariLogue
The 27th Workshop on the Semantics and Pragmatics of Dialogue
16--17 August, University of Maribor, Slovenia
https://mezzanine.um.si/en/conference/semdial-2023-marilogue/
MariLogue will be the 27th edition of the SemDial workshop series,
which aims to bring together researchers working on the semantics and
pragmatics of dialogue in fields such as formal semantics and
pragmatics, computational linguistics, artificial intelligence,
philosophy, psychology, and neuroscience.
We welcome submissions with formal, computational and empirical
approaches to the semantics and pragmatics of dialogue, including, but
not limited to:
* the dynamics of agents' information states in dialogue
* common ground/mutual belief
* goals, intentions and commitments in communication
* turn-taking and interaction control
* semantic/pragmatic interpretation in dialogue
* dialogue and discourse structure
* categorisation of dialogue phenomena in corpora
* child-adult interaction
* language learning through dialogue
* gesture, gaze, and intonational meaning in communication
* multimodal dialogue
* interpretation and reasoning in spoken dialogue systems
* dialogue management
* designing and evaluating dialogue systems
* modelling miscommunication, disfluency and repair
* dialogue/interaction studies from a psychological perspective
* neuroscience of dialogue
* Interactivist approaches to dialogue
* animal communication
# SUBMISSION INSTRUCTIONS:
Long papers: Authors should submit an anonymous paper of at most 8
pages of content (up to 2 additional pages are allowed for references).
Short papers: Authors should submit a non-anonymized paper of at most
2 pages of content (up to 1 additional page allowed for references).
Submission to this track can be non-archival on request.
Submissions should be pdf files and use the LaTeX
(https://2023.aclweb.org/downloads/acl2023.zip) or Word
(https://2023.aclweb.org/downloads/acl2023.docx) templates provided
for ACL 2023 submissions. The LaTeX template is readily available on
Overleaf
(https://www.overleaf.com/latex/templates/acl-2023-proceedings-template/qjdg…).
Concurrent submission policy: Papers that have been or will be
submitted to other meetings or publications must provide this
information, using a footnote on the title page of the submissions.
SemDial 2023 cannot accept work for publication or presentation that
will be (or has been) published elsewhere.
Submission is electronic, using the EasyChair conference management
system at our Easychair submission site
(https://easychair.org/conferences/?conf=semdial2023marilogue).
# IMPORTANT DATES:
Note: All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth").
* Long paper submissions due: June 16th, 2023
* Notification: July 14th, 2023
* Short paper submissions due: July 21st, 2023
* Final versions due: August 4th, 2023
* Registration Deadline for presenters/refund deadline: August 4th, 2023
* MariLogue Conference: August 16th--17th, 2023
PhD student position in Neuro-Symbolic Synthesis and Reinforcement Learning
In this project we study a new approach to synthesis of efficient communication schemes in multi-agent systems, trained via reinforcement learning. We combine symbolic methods with machine learning, in what is referred to as a neuro-symbolic system, where a neural network learns to produce programs in a symbolic language to solve a task at hand. We believe this combination of neural and symbolic methods will be an important next step in the development of AI beyond todays capabilities.
This project is a collaboration between researchers at the division of Data Science and AI<https://www.chalmers.se/en/departments/cse/research/dsai/Pages/default.aspx> at Chalmers and the Center for Linguistic Theory and Studies in Probability (CLASP) at Gothenburg University.
Deadline for applications: 28 February:
https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/
BRIEF DESCRIPTION
The University of Melbourne's Department of General Practice, in collaboration with the University of Melbourne’s School of Computing and Information Systems invite applications for a 3.5 year funded PhD scholarship focused on the development and validation of NLP algorithms for the automatic extraction of adolescent risk-taking behaviours (e.g. substance use, risky sexual behaviours) and health conditions (e.g. depression, anxiety) from clinical notes.
SELECTION CRITERIA
Eligibility will be assessed on the following criteria:
* Applicants must be an outstanding applicant with an Australian first class undergraduate degree (or international equivalent), or masters degree in Computer Science or a related discipline
* Applicants must demonstrate strong Python skills
* Applicants must have some experience with Natural Language Processing methods
* Applicants must demonstrate an interest in medical and health research with a focus on data analysis skills
* Applicants must demonstrate an openness to learn new things, versatility, creativity, problem solving skills, and attention to detail
* Applications must demonstrate effective verbal and written English language communication skills
It is also desirable, but not necessary, that applicants have experience working with data derived from electronic health records.
FURTHER DETAILS AND HOW TO APPLY
For more information regarding this opportunity, see:
https://www.statsoc.org.au/forum-job-vacancies/13086448
To apply for this position, please email PCTU-enquiries(a)unimelb.edu.au<mailto:PCTU-enquiries@unimelb.edu.au> with a cover letter addressing the selection criteria, a CV, and academic transcripts
SCHOLARSHIP VALUE & DURATION
The scholarship consists of living allowance of AU$33,000 per year (2023, indexed annually) for up to a maximum of 3.5 years. Additional "top-up" funding may be available