NBME (National Board of Medical Examiners)
Summer 2025 Internships in Psychometrics and Data Science
June 2 - July 25, 2025
NBME invites applications for multiple full-time internship positions, all fully remote, for the Summer of 2025. Over an 8-week period, interns will have the opportunity to collaborate with NBME staff and interact with fellow graduate students as they complete a research project. The expected deliverable is an internal research presentation. Specific projects for the summer of 2025 will be discussed with applicants as part of the interview process. Compensation is $12,600, and all interns are eligible to receive up to $1,000 to support their attendance at a conference (not conditional on presenting). The application deadline is Wednesday, January 31, 2025, at midnight PST. Interested students can learn more and apply here: https://nbme.applicantpro.com/jobs/3562778
If you have any questions or need additional information, please contact Chris Runyon: CRunyon(a)nbme.org<mailto:CRunyon@nbme.org>
This email message and any attachments may contain privileged and/or confidential business information and are for the sole use of the intended recipient(s). Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please notify the sender immediately by reply email and destroy all copies of the original message and any attachments.
Dear all,
After a successful first edition in 2021, we are glad to invite you to the
second MultiLexNorm shared task! The shared task will be hosted at WNUT 2025.
As defined in the previous iteration, lexical normalization is:
The task of transforming an utterance into its standard form, word by word,
including both one-to-many (1-n) and many-to-one (n-1) replacements.
Building on the previous task which focused on Indo-European languages written
in the Latin script, we extended the benchmark to include languages written in
other scripts. We now include data for Thai, Vietnamese, and Indonesian. The
data and more information about the task can be found on:
https://noisy-text.github.io/2025/multi-lexnorm.html#
Dates:
Data available Nov 15, 2024
Data freeze Jan 07, 2025
Test data Jan 25, 2025
Final Evaluation Feb 07, 2025
Paper deadline Feb 25, 2025
Paper reviewed Mar 01, 2025
Camera ready Mar 10, 2025
Workshop May 03, 2025 (TBD)
Best,
The organizers:
Rob van der Goot
Weerayut Buaphet
Peerat Limkonchotiwat
Thanh-Nhi Nguyen
Thanh-Phong Le
Dear all,
After a successful first edition in 2021, we are glad to invite you to the
second MultiLexNorm shared task! The shared task will be hosted at WNUT 2025.
Building on the previous task which focused on Indo-European languages written
in the Latin script, we extended the benchmark to include languages written in
other scripts. We now include data for Thai, Vietnamese, and Indonesian. The
data and more information about the task can be found on:
https://noisy-text.github.io/2025/multi-lexnorm.html#
Dates:
Data available Nov 15, 2024
Data freeze Jan 07, 2025
Test data Jan 25, 2025
Final Evaluation Feb 07, 2025
Paper deadline Feb 25, 2025
Paper reviewed Mar 01, 2025
Camera ready Mar 10, 2025
Workshop May 03, 2025 (TBD)
Best,
The organizers:
Rob van der Goot
Weerayut Buaphet
Peerat Limkonchotiwat
Thanh-Nhi Nguyen
Thanh-Phong Le
As part of its development plan, the Chilean National Center for Artificial
Intelligence (cenia.cl/en <https://cenia.cl/en/home/>) invites interested
individuals to apply for 3 Postdoc positions in AI and related areas.
Candidates must hold a PhD in AI or related fields, such as cognitive
robotics, neuroscience, cognitive science, mathematics, or related
scientific areas. In line with our commitment to actively promote gender
equity in the field of AI, the postdoctoral competition will include
diversity criteria in its evaluation process.
The positions aim to conduct research activities in the following areas:
1. *Deep Learning for Vision and Language*: New theories and methods to
further unlock the potential of Deep Learning and Generative AI to create
advanced cognitive systems with a focus on vision, language, and
multimodality.
2. *Neuro-symbolic AI*: Integration of deductive AI and machine
learning-based AI, mutually invoking solutions from each part, injecting
and utilizing semantics in current AI models.
3. *Brain-inspired AI*: Brings together scientists from neuroscience,
cognitive psychology, and AI to develop AI models based on brain mechanisms
and cognitive functions, while also developing AI tools to understand human
cognition.
4. *Physics-based Machine Learning*: Gathers mathematicians, physicists,
and AI scientists to develop hybrid machine learning models based on
physical laws to solve complex problems in science and engineering,
generate scientific discoveries, and explore causal relationships.
5. *Human-centered AI*: New technologies for the fair, safe, and
transparent use of AI in society, as well as methodologies to assess its
impact. Promotes new tools for interpretable and explainable AI.
*I. Eligibility Criteria:*
Applicants must:
- Hold a PhD degree.
- Have proven research experience, including a record of publications.
- Have experience in developing or using AI tools.
- Be available to work full-time in Santiago of Chile, joining Cenia
preferably no later than April 2025 (exceptional cases will be considered).
- Not receive incentives or salaries from other sources of the Chilean
Research and Development Agency (ANID).
*II. Roles/Responsibilities of the Cenia Postdoc:*
- Conduct research in Cenia’s areas of interest.
- Participate in Cenia’s applications for national and international
funding.
- Apply for competitive grants as the lead researcher, including the
Fondecyt Postdoctoral Competition 2025.
*III. Documents to Submit with Application:*
*Phase 1:* Submit the following documents to Cenia.
- An updated full CV, including a list of scientific publications.
- A statement of interest (maximum 2 pages), which should include:
- Reasons for joining Cenia.
- Main research topics of interest at Cenia.
- Groups or individuals at Cenia you would like to collaborate with.
- Two letters of recommendation (free format).
*Phase 2:* Pre-selected candidates will be contacted to prepare a brief
research proposal, in collaboration with Cenia’s researchers.
*IV. Important Dates:*
- Phase 1: October 18 to December 16 (late applications may be
considered in exceptional cases).
- Phase 2: December 20 to January 20, 2025.
- Results announcement: Monday, January 27, 2025.
*V. Benefits:*
- Full-time contract (42 hours/week) for one year, renewable, with the
possibility of obtaining a permanent contract as a Cenia Researcher.
- Monthly gross salary of CLP 2,500,000, plus financial incentives for
securing competitive grants at national and international levels.
- Access to a stimulating research environment, excellent facilities,
and cutting-edge computational resources in Latin America.
- Full-time dedication to research, with no teaching obligations.
- Support for grant applications.
- Opportunity to participate in Cenia’s scientific and technological
transfer activities to the industrial and governmental sectors.
- Opportunity to participate in outreach and community engagement
activities.
*VI. About Cenia:*
Cenia is one of the leading organizations dedicated to AI development in
Chile and Latin America. Founded in 2021, its mission is to generate
knowledge and technological solutions based on AI. Cenia works closely with
universities, research centers, and companies both nationally and
internationally, fostering interdisciplinary research and training
specialized talent in AI. Additionally, Cenia stands out for its commitment
to gender equity and inclusion, actively promoting diversity in all its
projects and programs.
*All documents and inquiries should be sent to postdoc(a)cenia.cl
<postdoc(a)cenia.cl>, with the subject line: “Postdoc Application 2024”. For
any questions to the application process send an email to talento(a)cenia.cl
<talento(a)cenia.cl>.*
*Link: *
https://cenia.cl/en/2024/10/18/call-for-application-postdoctoral-positions/
Call for Research & Innovation Papers
SEMANTiCS 2025 EU
21st International Conference on Semantic Systems
Vienna, Austria
September 3 - 5, 2025
Important Dates:
-
Abstract Submission Deadline: April 25 , 2025
-
Paper Submission Deadline: May 2, 2025
-
Notification of Acceptance: June 13, 2025
-
Camera-Ready Paper Deadline: July 04, 2025
All deadlines are set for 11:59 pm, Anywhere On Earth time (UTC-12)
Submissions will be through Easychair and the submission link will be
provided soon.
Proceedings of SEMANTiCS 2025 EU will be made available open access.
Research and Innovation Track
The SEMANTiCS 2025 conference is excited to invite submissions for the
Research and Innovation Track, welcoming groundbreaking research
contributions, innovative solutions, and experimental studies relevant to
the Semantic Web, Semantic Technologies, and AI-enabled semantics. We also
encourage submissions at the intersections of these fields with other
scientific and applied disciplines, fostering cross-disciplinary exchange
and advancement. Papers should present original work that has not been
published or is not under consideration elsewhere. All submissions must
adhere to the submission guidelines, including reference formatting and any
additional documentation as required. Each submission will undergo a
rigorous review process, with at least three independent reviews,
evaluating the novelty, technical quality, reproducibility, and practical
relevance of the work.
Topics of Interest
SEMANTiCS 2025 calls for submissions of high-quality research papers across
a broad spectrum of topics in Semantic Web, Semantic Technologies, and AI.
We are particularly interested in new and emerging trends, especially where
semantic technologies intersect with evolving fields such as large language
models, explainable AI, and trustworthy data infrastructures. Topics of
interest include, but are not limited to:
-
Web Semantics & Linked (Open) Data
-
Enterprise Knowledge Graphs, Graph Data Management
-
Machine Learning Techniques for/using Knowledge Graphs (e.g.
reinforcement learning, deep learning, data mining and knowledge
discovery)
-
Generative AI and Knowledge Graphs (e.g., Retrieval-Augmented Generation
(RAG) with knowledge graph integration, generative model grounding)
-
Reasoning, Rules, and Policies on RAG
-
Knowledge Engineering and Management (e.g., knowledge acquisition,
extraction, integration, and publication workflows)
-
Terminology, Thesaurus & Ontology Management, Ontology engineering
-
Web agents
-
Natural Language Processing for/using Knowledge Graphs (e.g. entity
linking and resolution using target knowledge such as Wikidata and DBpedia,
foundation models)
-
Crowdsourcing for/using Knowledge Graphs
-
Data Quality Management and Assurance
-
Mathematical and Logical Foundations of Knowledge-aware AI
-
Multimodal Knowledge Graphs (e.g., text, image, audio fusion in graph
structures)
-
Semantic-Enhanced Data Science Pipelines and Processes
-
Semantics in Blockchain environments (e.g., traceability, decentralized
knowledge representation)
-
Trust, Data Privacy, and Security with Semantic Technologies
-
Internet of Things (IoT), Stream Processing, and Temporal Data
Management (e.g., real-time semantic processing and predictive analytics)
-
Conversational AI and Dialogue Systems powered by Knowledge Graphs
-
Provenance and Data Change Tracking (e.g., semantic versioning, data
updates in distributed settings)
-
Semantic Interoperability (e.g., cross-domain standards, mapping
frameworks, ontology alignment)
-
Linked Data storage, triple stores, graph databases
-
Robust, Scalable, and Fault-Tolerant Semantic Data Systems (e.g.,
distributed querying, optimization)
-
User Interfaces and Usability of Semantic Technologies (e.g.,
visualizations, intelligent user interaction)
-
Explainable and Interoperable AI
-
Decentralised and Federated Knowledge Graphs (e.g., federated querying,
link traversal)
Applied Semantic Technologies and AI in Real-World Scenarios, such as, but
not limited to:
-
Biomedicine and Health (e.g., Knowledge Graphs for biomedical
applications, AI-driven diagnostics, personalized health)
-
AI for Environmental and Climate Solutions (e.g., semantic modeling for
environmental impact, biodiversity knowledge graphs)
-
Scientific Knowledge Graphs and Open Science (e.g., FAIR data
principles, enhanced scholarly communication)
-
Semantic Technologies in GLAM (Galleries, Libraries, Archives, and
Museums)
-
Knowledge Graphs and Hybrid AI for Industry 4.0/5.0 and Predictive
Maintenance
-
Digital Humanities and Cultural Heritage Preservation
-
Legal Technology, AI Ethics, and Regulatory Compliance (e.g., AI and
legal frameworks, semantic-enabled compliance with the EU AI Act)
-
Economics and Governance of Data Ecosystems (e.g., data marketplaces,
semantic service interoperability, data policy)
Submissions will be through Easychair. Stay tuned for the submission link.
For Submission Guidelines and Review and Evaluation Criteria please head to
the online call for papers: https://2025-eu.semantics.cc/page/cfp_rev_rep
We would highly appreciate it if you could disseminate this call within
your network.
We look forward to receiving your contributions!
Research and Innovation Track Chairs
Blerina Spahiu (University of Milano-Bicocca, IT)
Mehdi Ali (Lamarr Institute & Fraunhofer IAIS, Germany)
Kind Regards,
On behalf of the organising committee,
Beyza Yaman
Register and task variation in Learner Corpus Research (VAR4LCR), Louvain-la-Neuve, 7-8 July 2025
To mark the end of a Hoover Seedfund collaborative project between the Centre for English Corpus Linguistics at the University of Louvain (UCLouvain) and the Department of English at Northern Arizona University (NAU), a conference on Register and task variation in Learner Corpus Research will be organized in Louvain-la-Neuve, Belgium, on 7-8 July 2025 under the aegis of the Learner Corpus Association. The conference will be an on-site event only.
RATIONALE
Ample evidence has been provided to demonstrate that language varies according to register. Much of this evidence for register variation comes from corpora, which have provided insights into linguistic patterns associated with distinct registers (see, e.g., Biber 1988, Biber 2006, Biber & Egbert 2018).
Register variation is an important aspect of any language and language variety, but it is particularly relevant in the case of learner language, because L2 learners may not show the same register awareness as native/expert writers/speakers (cf. Gilquin & Paquot 2008, Larsson 2019).
Learner Corpus Research (LCR) has taken register into account in the sense that studies have been carried out on the basis of learner corpora representing certain registers (e.g. essays in Ädel 2006 or interviews in Götz 2013). However, studies comparing learner language registers are less common. Yet, the LCR studies that have drawn such comparisons have highlighted the importance of register for learner language (e.g. Fuchs et al. 2016, Staples et al. 2018, Larsson et al. 2021).
Related to register is the notion of task, particularly relevant in LCR since learner corpora are often compiled from data produced as part of specific pedagogical tasks (e.g. writing a letter, describing a graph, retelling a movie scene). As with register, LCR studies comparing different tasks are not very common, but they have underlined the potential effect of this variable (e.g. Tracy-Ventura & Myles 2015, Alexopoulou et al. 2017, Gablasova et al. 2017, Goulart & Dixon 2025).
SUBMISSIONS
We welcome submissions which compare two or more registers or tasks in corpora of learner language, using the methods of corpus linguistics / LCR, and which analyse the possible effects of register/task on the linguistic features of learner language. The learner registers/tasks may, in addition, be compared against some reference corpus data such as native or expert language. Both quantitative and qualitative approaches are welcome, with a focus on any aspects of language (phraseology, grammatical complexity, fluency, etc.).
We are particularly interested in submissions that
- use data representing different registers/tasks produced by the same L2 learners;
- compare registers/tasks displaying different degrees of formality or involving different degrees of communicative control;
- combine quantitative and qualitative methods of analysis;
- discuss the methodological issues related to the comparison of registers/tasks in learner language;
- include under-researched registers/tasks/languages.
There will be three different categories of presentation:
- full paper
- work-in-progress report
- poster
ABSTRACTS
Abstracts should be about 500 words (not including references) and specify how the paper will contribute to the theme of the conference, in particular by highlighting the registers/tasks that will be compared and the corpora that will be used. They should also provide a clear outline of the aim(s) of the paper, including clearly articulated research questions, sufficient details about the methodology and (preliminary) results.
Abstracts should be uploaded to OpenReview (https://openreview.net/group?id=VAR4LCR/2025/Conference) no later than 20 January 2025 at 23:59 UTC. If you are new to OpenReview, you will first have to create a profile. We recommend that you use an institutional email address to do so, as profiles created without an institutional email address will go through a moderation process that can take up to two weeks. Please note that most questions asked as part of the creation of a profile are optional. Providing your current institution (under ‘History’) and a link to a webpage that displays your name and email address (under ‘Personal Links’) will be sufficient.
IMPORTANT DATES
- Deadline for submission of abstracts: 20 January 2025
- Notification of acceptance/rejection: 15 March 2025
- Conference: 7-8 July 2025
KEYNOTE SPEAKERS
We are pleased to announce that the following speakers have agreed to give a keynote presentation at the conference:
- Prof. Douglas Biber (Northern Arizona University)
- Prof. Marije Michel (University of Groningen)
- Prof. Shelley Staples (University of Arizona)
LOCAL ORGANIZING COMMITTEE
Sylvie De Cock (UCLouvain)
Gaëtanelle Gilquin (UCLouvain)
Sylviane Granger (UCLouvain)
Pauline Jadoulle (UCLouvain)
Magali Paquot (UCLouvain)
Lieven Vandelanotte (UNamur)
SCIENTIFIC COMMITTEE
Douglas Biber (NAU)
Sylvie De Cock (UCLouvain)
Jesse Egbert (NAU)
Gaëtanelle Gilquin (UCLouvain)
Sylviane Granger (UCLouvain)
Francesca Grixoni (NAU)
A.J. Holmberg (NAU)
Pauline Jadoulle (UCLouvain)
Tove Larsson (NAU)
Magali Paquot (UCLouvain)
Randi Reppen (NAU)
CONFERENCE WEBSITE: https://uclouvain.be/en/research-institutes/ilc/cecl/register-and-task-vari…
CONTACT: var4lcr(a)uclouvain.be
REFERENCES
Ädel, Annelie. 2006. Metadiscourse in L1 and L2 English. Amsterdam: John Benjamins.
Alexopoulou, Theodora, Michel, Marije, Murakami, Akira & Meurers, Detmar. 2017. Task effects on linguistic complexity and accuracy: A large-scale learner corpus analysis employing natural language processing techniques. Language Learning 67(S1): 180-208.
Biber, Douglas. 1988. Variation across Speech and Writing. Cambridge: Cambridge University Press.
Biber, Douglas. 2006. University Language: A Corpus-based Study of Spoken and Written Registers. Amsterdam: John Benjamins.
Biber, Douglas & Egbert, Jesse. 2018. Register Variation Online. Cambridge: Cambridge University Press.
Fuchs, Robert, Götz, Sandra & Werner, Valentin. 2016. The present perfect in learner Englishes: A corpus-based case study on L1 German intermediate and advanced speech and writing. In Valentin Werner, Elena Seoane & Cristina Suárez-Gómez (eds) Re-assessing the Present Perfect (pp. 297-338). Berlin: De Gruyter.
Gablasova, Dana, Brezina, Vaclav, McEnery, Tony & Boyd, Elaine. 2017. Epistemic stance in spoken L2 English: The effect of task and speaker style. Applied Linguistics 38(5): 613-637.
Gilquin, Gaëtanelle & Paquot, Magali. 2008. Too chatty: Learner academic writing and register variation. English Text Construction 1(1): 41-61.
Götz, Sandra. 2013. Fluency in Native and Nonnative English Speech. Amsterdam: John Benjamins.
Goulart, Larissa & Dixon, Tülay. 2025. The relative influence of language backgrounds, communicative text types, and disciplines in undergraduate student writing. International Journal of Learner Corpus Research 11(1).
Larsson, Tove. 2019. Grammatical stance marking across registers: Revisiting the formal-informal dichotomy. Register Studies 1(2): 243-268.
Larsson, Tove, Paquot, Magali & Biber, Douglas. 2021. On the importance of register in learner writing: A multi-dimensional approach. In Elena Seoane & Douglas Biber (eds) Corpus-based Approaches to Register Variation (pp. 235-258). Amsterdam: John Benjamins.
Staples, Shelley, Biber, Douglas & Reppen, Randi. 2018. Using corpus-based register analysis to explore the authenticity of high-stakes language exams: A register comparison of TOEFL iBT and disciplinary writing tasks. The Modern Language Journal 102(2): 310-332.
Tracy-Ventura, Nicole & Myles, Florence. 2015. The importance of task variability in the design of learner corpora for SLA research. International Journal of Learner Corpus Research 1(1): 58-95.
*Apologies for cross-posting*
*Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian
Languages (DravidianLangTech-2025) at NAACL 2025*
*Call for Papers : *
DravidianLangTech-2025 welcomes theoretical and practical paper submission
on any Dravidian languages (Tamil, Kannada, Malayalam, Telugu, Tulu,
Allar, Aranadan, Attapadya, Kurumba, Badaga, Beary, Betta Kurumba,
Bharia, Bishavan, Brahui, Chenchu, Duruwa, Eravallan, Gondi,
Holiya, Irula, Jeseri, Kadar, Kaikadi, Kalanadi, Kanikkaran,
Khiwar, Kodava, Kolami, Konda, Koraga, Kota, Koya, Kurambhag
Paharia, Kui, Kumbaran, Kunduvadi, Kurichiya, Kurukh, Kurumba, Kuvi,
Madiya, Mala Malasar, Malankuravan, Malapandaram, Malasar, Malto,
Manda, Muduga, Mullu Kurumba, Muria, Muthuvan, Naiki, Ollari, Paliyan,
Paniya, Pardhan, Pathiya, Pattapu, Pengo, Ravula, Sholaga, Thachanadan,
Toda, Wayanad Chetti, and Yerukala) that contributes to research in
language processing, speech technologies or resources for the same. We will
particularly encourage studies that address either practical application or
improving resources for a given language in the field.
This comprehensive call for papers invites submissions on critical topics
related to hate speech, offensive language, misinformation, and content
safety in social media and online environments, especially as they pertain
to Dravidian languages. Researchers are encouraged to explore innovative
methods for detecting and mitigating various forms of harmful content, such
as political hate speech, offensive language, and AI-generated
misinformation, with a focus on cross-lingual and multimodal approaches
that integrate text, images, and video.
*Topics of interest include, but are not limited to:*
· Detection of Political Hate Speech in social media
· Multimodal Hate Speech Detection Across Text, Image, and Video
Content
· AI-Generated Content Detection and Mitigation in Online Media
· Corpus Development for Hate Speech Detection in Multilingual
Contexts
· Identifying Offensive Language in Political Discourse on Social
Platforms
· Cross-Modal Techniques for Multimodal Hate Speech Detection
· Fake News and Rumor Detection in Dravidian Language Media
· Emotion Analysis and Sentiment Detection in Hate Speech
· Cyberbullying and Hostility Detection for Safer Online Environments
· Disinformation and Misinformation Detection in Political Speech
· Racial and Religious Abuse Detection Using Multimodal Approaches
· Automated Detection of AI-Generated Harmful Content
· Social Contagion of Hate Speech in Online Political Discussions
· Accent and Emotion Recognition in Dravidian Language Speech
· Social Bias Detection in AI-Generated Text
· Sexism and Misogynistic Attitudes in Multimodal Online Content
· Detection of Violent Incidents in social media Using Multimodal Data
· Phonology and Morphology in Dravidian Language Processing
· Document and Image Analysis for Hate Speech Detection in social
media
*Important dates*
- Workshop paper Submission deadline: January 30, 2025
- Pre-reviewed (ARR) submission deadline: February 20, 2025
- Notification of acceptance: March 1, 2025
- Camera-ready paper due: March 10, 2025
- Pre-recorded video due (hard deadline): April 8, 2025
- Workshop dates: May 3-4, 2025
Submission link:
https://openreview.net/group?id=aclweb.org/NAACL/2025/Workshop/DravidianLan…
Webpage: https://sites.google.com/view/dravidianlangtech-2025/
with regards,
Dr. Bharathi Raja Chakravarthi,
Assistant Professor / Lecturer-above-the-bar
Programme Director (MSc Computer Science - Artificial Intelligence)
<https://www.universityofgalway.ie/courses/taught-postgraduate-courses/compu…>
School of Computer Science, University of Galway, Ireland
Insight SFI Research Centre for Data Analytics, Data Science Institute,
University of Galway, Ireland
E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie
<bharathiraja.asokachakravarthi(a)universityofgalway.ie>
Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en
Website:
https://www.universityofgalway.ie/our-research/people/computer-science/bhar…
<https://www.universityofgalway.ie/our-research/people/computer-science/bhar…>
**
*PhD position in Psycholinguistics*
*
The Language Science and Technology department at Saarland University
invites excellent students holding a master's degree to pursue a PhD (3
years) in the field of Psycholinguistics. You will join Vera Demberg’s
lab, which works at the interfact of the highly interdisciplinary and
fast-paced fields of psycholinguistics and computational linguistics.
What is the focus of the project?
When humans read and listen to language, they construct rich mental
representations of the presented information. A crucial element of these
representations is the construction of discourse relations:
semantic-pragmatic links such as cause-consequenceand contrast.
Comprehenders can make use of many different types of information to
construct discourse relations, such as connectives (e.g., because, but),
or even visual information such as gesture (e.g., two hands on opposing
side of the body to signal on the one hand / on the other hand).
However, we know little about what other cues signal discourse
relations, and whether languages differ in the type of cues they contain
and the effects of these cues.
The position will be funded as part of the Collaborative Research Centre
1102, project B2 “Cognitive Modelling of Information Density for
Discourse Relations”. The goal of the project is to develop models that
explain how readers and listeners can effectively make sense of
discourse during online and offline processing. This is done by
examining how discourse signals influence discourse processing and
comprehension, at the level of linguistic cues, speech cues and gestural
cues.The project adopts a multi-method approach, combining methods such
as reading time studies, comprehension studies and acceptability studies.
What we offer you
*
The position is intended to begin in April 2025 (start-date is
negotiable in both directions, i.e. earlier start as soon as Jan
2025 or a later start are possible).
*
Salary determined according to the German TVöD (Tarifvertrag für den
öffentlichen Dienst) and is classified in salary group/level E13, 75%.
*
30 holidays per year, based on full-time employment; in addition, we
honor the German public holidays.
*
Enrollment in a personal pension scheme to which both employer and
employee pay a monthly contribution.
*
Access to state-of-the art research and training facilities and a
generous conference and travel budget.
*
Immersion in an interdisciplinary community made up of cognitive and
computational researchers.
What qualities does the successful applicant bring?
*
A finished Master’s degree in a relevant field, such as linguistics,
psycholinguistics, experimental psychology, cognitive science, data
science, or a related discipline.
*
Prior experience of research activities in experimental linguistics,
including experimental design and data analysis.
*
Excellent spoken and written proficiency in English.
*
Willingness to learn new experimental methods through guidance from
colleagues and training courses.
*
Interest in bridging scientific fields, specifically cognitive and
computational linguistics.
*
Proficiency in programming languages such as R or Python.
How to apply?
Applicants are requested to submit their application, including a cover
letter that specifies why you would like to work on this topic and what
qualifies you for it, an academic CV, a list of academic publications,
your BSc/ MSc thesis (or a current draft), copies of academic degree
certificates and names of two potential references.
For application to the PhD position please quote opening number W2561.
The official job ad document can be found here
<https://www.uni-saarland.de/fileadmin/upload/lehrstuhl/demberg/Ausschreibun…>.
The applications should be sent via email directly to Prof. Vera
Demberg:applications-vd(at)lst.uni-saarland.de
The application deadline is December 15th, 2024 / OR Applications will
be reviewed on a rolling basis.
Saarland University is one of the leading centres for computer science
and computational linguistics in Europe, and offers a dynamic and
stimulating research environment. The group is affiliated with both the
Department of Computer Science and with the Department of Language
Science and Technology. The student will become part of the
collaborative research center SFB 1102 “Information Density and
Linguistic Encoding”, which offers a rich and vibrant environment of
students working on related questions. On site, there is also the new
research training group on Neuroexplicit models of Language, Vision and
Action.
Our researchers and students come from all over the world, and our
primary working language is English.
The Saarland University is an equal opportunities employer. In
accordance with its policy of increasing the proportion of women in this
type of employment, the University actively encourages applications from
women. Women are given preference in cases of equal suitability, ability
and professional performance.
Applications from severely disabled persons will be given preferential
consideration in the event of equal suitability. Part-time employment is
generally possible.
We welcome applications regardless of gender, nationality, ethnic and
social origin, religion/belief, disability, age, and sexual orientation
and identity.
Pay grade classification is based on the particular details of the
position held and the extent to which the applicant meets the
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CALL FOR PARTICIPATION TalentCLEF @ CLEF 2025
Lab on Skill and Job Title Intelligence for Human Capital Management
https://talentclef.github.io/talentclef/
Lab description:
TalentCLEF introduces an innovative evaluation lab designed to foster the development of Natural Language Processing (NLP) systems in the field of Human Capital Management (HCM). In a corporate environment that is rapidly moving towards a globalized and multilingual workforce, organizations are increasingly relying on language technologies to optimize and accelerate recruitment processes. This scenario brings a critical challenge: developing systems that guarantee fairness in outcomes, with the ability to function across multiple languages and adapt to various industries. TalentCLEF addresses this challenge by creating a public benchmark, carefully considering these aspects in its design, with the aims of promoting the development and evaluation of NLP systems applied to HR, creating a meeting point for the discussion of such systems, and pushing the state-of-the-art in the area of HCM.
The first edition of TalentCLEF will be held at CLEF 2025 and will have two tasks:
-Task A: Multilingual Job Title Matching, where the goal is to develop systems capable of retrieving job positions similar to a given one.
-Task B: Job Title-Based Skill Prediction, where teams must develop systems that identify professional skills relevant to a specific job position.
More information at: https://talentclef.github.io/talentclef/
Register to our lab at: https://clef2025-labs-registration.dei.unipd.it/registrationForm.php
Task organizers:
Luis Gascó, Avature, Spain
Hermenegildo Fabregat, Avature, Spain
Laura García-Sardiña, Avature, Spain
Daniel Deniz Cerpa, Avature, Spain
Alvaro Rodrigo, UNED, Spain
Rabih Zbib, Avature, Spain
Important dates
25th October 2024 - Sample set release
13th November 2024 - Registration opens
20th January 2025 - Training data available for Tasks A and B
17th February 2025 - Start of Task A, release of development data
17th March 2025 - Start of Task B, release of development data
21st April 2025 - Test set release
21st April to 5th May 2025 - Evaluation period for both tasks
7th May 2025 - Publication of official results
15th June 2025 - Submission of CLEF 2025 Working Notes (Tentative)
30th June to 7th July 2025 - Review of labs overviews (Tentative)
CLEF 2025: 9-12 September 2025, Madrid - Spain
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