Want to work as a postdoc in a vibrant research group on cutting-edge methodology for computational modeling of meaning and meaning change?
We are hiring one or more postdocs in the Change is Key! research program. The program is multi-national and multi-disciplinary covering both core NLP research as well as its application for humanities and social sciences. You will be working with LLMs for modeling meaning and semantic change and using this to detect cultural and societal changes. We publish regularly in top tier venues with generous research funds. The position is located in the heart of Gothenburg in Sweden, and we will provide help with finding researcher apartments if needed.
We are a diverse research group that values our differences and thus we welcome any and all applicants with relevant research backgrounds interested in our topics. Find more about our work here: https://www.changeiskey.org/
Deadline for the call: December 18, 2024.
Apply here: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89…
Postdoctoral Researcher in Computational linguistics / data science, one or several<https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89…>
We offer The University of Gothenburg is a state authority, which means excellent employment benefits such
web103.reachmee.com
Nina N. Tahmasebi, Associate Professor
Change is Key! • University of Gothenburg
nina.tahmasebi(a)gu.se
https://changeiskey.org/https://languagechange.org/http://tahmasebi.se/https://gu-se.zoom.us/my/ninatahmasebi
“Intelligence + Effort =
Achievement"
S. Mendaglio
[apologies for cross-posting]
The term 'intelligence' is often used in various fields including
Artificial Intelligence, Cognitive Science, Natural Language Processing,
and Machine Learning. But research papers rarely specify what is meant by
that term. As a result, we as a research community often talk past each
other, even about our basic premises and goals. Authors may even change how
they write their papers, based on a wrong impression of what most other
researchers believe.
We are a team of CogSci/NLP researchers from the IT University of
Copenhagen, Denmark. We combed through the literature to collect the key
definitional criteria for 'intelligence', and we designed this survey to
find out the following:
*- to what degree do the researchers in different areas agree about what
'intelligence' even means?- what role, if any, does this term play in their
research agenda?*
*- what is their perception of the current systems based on large language
models (e.g. Claude or ChatGPT)?*
We would much appreciate hearing your perspective! The survey takes 5-10
minutes and is available until December 18 at this link:
https://www.survey-xact.dk/LinkCollector?key=4S7VSN4MS536
Your response is anonymous and will be used for research purposes
only. Anonymous and aggregated responses will be publicly available under
Creative Commons-Attribution-Non-Commercial license, and we will also
publish our analysis.
Project team: Bertram Højer, Terne Sasha Thorn Jakobsen, Anna Rogers,
Stefan Heinrich
Project page: https://bertramhojer.github.io/projects/intelligence-survey/
--
Best regards,
Anna Rogers
Associate Professor
Computer Science Department, IT University of Copenhagen
http://annargrs.github.io/
Associate Professor in Artificial Intelligence (Research and Education)
Location:
Birmingham
Salary:
£56,921 to £65,814 Grade 9
Hours:
Full Time
Contract Type:
Permanent
Placed On:
26th November 2024
Closes:
8th January 2025
Job Ref:
101425
We are looking for applications from academics specialising in all areas of Artificial Intelligence including Natural Language Processing. Please see
https://www.jobs.ac.uk/job/DKV585/associate-professor-in-artificial-intelli…
For applications working in NLP – I am more than happy to answer questions etc.
With best regards,
Mark Lee
Professor of Artificial Intelligence
School of Computer Science
University of Birmingham
www.cs.bham.ac.uk/~mgl<http://www.cs.bham.ac.uk/~mgl>
Dear Colleagues,
I am looking for PhD students in e-Health and Sign Language Translation at the School of School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, UK. The details of the projects are below:
1. Breaking Barriers: AI-Powered Sign Language Translation for Enhanced Healthcare Access for the Deaf (https://www.qub.ac.uk/courses/postgraduate-research/phd-opportunities/break…). The Project is co-supervised by Prof. Asif Ekbal, Professor, IIT Jodhpur, India and Dr. Anna Jurek-Loughrey, Senior Lecturer, EEECS, Queen’s University Belfast.
2. Empowering Mothers: AI-Enhanced Personalized Management of Gestational Diabetes (https://www.qub.ac.uk/courses/postgraduate-research/phd-opportunities/empow…). The project is co-supervised by Prof. Pietro Liò, Professor, Department of Computer Science and Technology, University of Cambridge, UK.
Both projects offer an exciting opportunity for students to spend time at the prestigious University of Cambridge in the UK and IIT Jodhpur in India.
Requirements: The successful candidate is expected to have a solid background in NLP, Machine Learning, Statistics, computer science or related discipline. The minimum academic requirement for admission to a research degree programme is normally an Upper Second Class Honours degree from a UK or ROI HE provider, or an equivalent qualification acceptable to the University. Refer to the official application process for details: https://www.qub.ac.uk/courses/postgraduate-research/phd-opportunities/empow…
Application Process: For enquiries, please send an email to Dr. Mohammed Hasanuzzaman at m.hasanuzzaman(a)qub.ac.uk with your CV and transcript as well as a brief description of your research interests. Unfortunately, due to a high volume of inquiries, I may not be able to respond to all emails.
Submit your formal application through the following link.
https://dap.qub.ac.uk/portal/user/u_login.php
Your application should be clearly marked as EEECS/2025/MH1 and/or EEECS/2025/MH2 to ensure consideration for funding
About Queen's: The Queen's University Belfast, founded almost two centuries ago, is one of the oldest universities in the United Kingdom. As a member of the prestigious Russell Group, Queen’s is one of the UK’s 24 leading research-intensive universities (ranked 13th in the UK for research intensity). For more details: https://www.qub.ac.uk/Study/Why-Study-at-Queens/rankings-and-reputation/
*International students are welcome to apply, but additional funding (https://www.qub.ac.uk/Study/international-students/international-scholarshi…) or personal finances will be required to cover the difference between home (UK) and overseas fees.
Best regards,
Mohammed
The Computational Linguistics Group at Bielefeld University is looking for a
** Researcher (full-time, PhD or PostDoc) **
to work in a project on measuring linguistic creativity in different
genres. The project is part of a newly established Collaborative
Research Centre (CRC 1646) on “Linguistic Creativity in Communication”
[1]. The announced position will focus on computational aspects of
measuring linguistic creativity. A central task will be to develop
sentence embedding models that disentangle style and content, based on
language models for different literary and non-literary genres, and to
work on the analysis of linguistic creativity in large language models,
in collaboration with other projects of the CRC.
The duration of the position is approx. 3 years (until the end of 2027).
Deadline for applications: 10.12.2024 (extended)
Contact: Sina Zarrieß (sina.zarriess(a)uni-bielefeld.de)
Apply here:
https://uni-bielefeld.hr4you.org/job/view/3794/research-position?page_lang=…
[1]
https://www.uni-bielefeld.de/fakultaeten/linguistik-literaturwissenschaft/f…
--
Prof. Dr. Sina Zarrieß
Computational Linguistics
https://clause-bielefeld.github.io/
University of Bielefeld
Universitätsstr. 25
33615 Bielefeld, Germany
+49 521 106-2534
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