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Two PhD positions In Lugano (Switzerland)
by lonneke.vanderplas＠usi.ch 08 Jun '26

08 Jun '26

Two fully funded PhD positions in the USI NLP Lab, led by Prof. Lonneke van der Plas, as part of SATURNA (https://www.saturna.ch/<https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fwww%2Esaturna%2Ech%2F…>), a large-scale Swiss National Science Foundation project. The successful candidates will work on developing and understanding transformer-based language models, their traditional application to languages and the challenges that their application to RNA sequences brings. One position will focus on new training methods and architectures for modeling long distance relations, segmentation, structure etc., while the other will focus on interpretability: how these models encode structure, regulation, and function. The PhD students are based at USI Università della Svizzera italiana in Lugano, and will join a fast-growing, vibrant, and interdisciplinary research environment spanning the Institute of Argumentation, Linguistics and Semiotics (IALS) and the Dalle Molle Institute for Artificial Intelligence (IDSIA), with close connections to collaborators across Switzerland and abroad including experts in graph deep learning, knowledge-enhanced AI, computational biology, and translational science from several institutions, such as Uni Bern and EPFL. Applications received before 15 June 2026 will be given priority, but the positions will remain open until filled. More information and application link here: https://content.usi.ch/sites/default/files/storage/attachments/ials/ials-id…<https://content.usi.ch/sites/default/files/storage/attachments/ials/ials-id….> Learn more about our lab here: https://usi-nlp.github.io/<https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fusi-nlp%2Egithub%2Eio…> -- Prof. Lonneke van der Plas Associate Professor of Natural Language Processing USI Università della Svizzera italiana https://usi.to/bkks

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Final CFP: [LaTeLL 2026] International Conference ‘LAnguage TEchnologies for Low-resource Languages’
by Salmane Chafik 07 Jun '26

07 Jun '26

International Conference ‘LAnguage TEchnologies for Low-resource Languages’ (LaTeLL ’2026) Fes, Morocco 28, 29 and 30 September 2026 www.latell.org/2026/ Final Call for Papers ***Final submission deadline 15 June 2026*** Authors who anticipate difficulties in completing the submission process by the deadline are encouraged to contact the conference organisers as soon as possible to discuss the possibility of a reasonable extension. The conference Natural Language Processing (NLP) has witnessed remarkable progress in recent years, largely driven by the emergence of deep learning architectures and, more recently, large language models (LLMs). Nevertheless, these advances have disproportionately benefited high-resource languages that possess abundant data for model training. By contrast, low-resource languages which account for at least 85% of the world’s linguistic diversity and are often spoken by smaller or marginalised communities, have not yet reaped the full benefits of contemporary NLP technologies. This imbalance can be attributed to several interrelated factors, including the scarcity of high-quality training data, limited computational and financial resources, and insufficient community engagement in data collection and model development. Developing NLP applications for low-resource languages poses major challenges, particularly the need for large, well-annotated datasets, standardised tools, and robust linguistic resources. Although several workshops have previously addressed NLP for low-resource languages, LaTeLL is the first international conference dedicated specifically to the automatic processing of such languages. The event aims to provide a forum for researchers to present and discuss their latest work in NLP in general, and particularly in the development and evaluation of language models for low-resource languages. Conference topics We invite submissions on a broad range of themes concerning linguistic and computational studies focusing on low-resource languages, including but not limited to the following topics: Language resources for low-resource languages ● Dataset creation and annotation ● Evaluation methodologies and benchmarks for low-resource settings ● Lexical resources, corpora, and linguistic databases ● Crowdsourcing and community-driven data collection ● Tools and frameworks for low-resource language processing Core language technologies for low-resource languages ● Language modelling and pre-training for low-resource languages ● Speech recognition, text-to-speech, and spoken language understanding ● Phonology, morphology, word segmentation, and tokenisation ● Syntax: tagging, chunking, and parsing ● Semantics: lexical and sentence-level representation NLP Applications for low-resource languages ● Information extraction and named entity recognition ● Question answering systems ● Dialogue and interactive systems ● Summarisation ● Machine translation ● Sentiment analysis, stylistic analysis, and argument mining ● Content moderation ● Information retrieval and text mining Multimodality and Grounding for low-resource languages ● Vision and language for low-resource contexts ● Speech and text multimodal systems ● Low-resource sign language processing Ethics, Equity, and Social Impact for low-resource languages ● Bias and fairness in low-resource language technologies ● Sociolinguistic considerations in technology development ● Cultural appropriateness and sensitivity Human-Centred Approaches in low-resource languages ● Usability and accessibility of low-resource language technologies ● Educational applications and language learning ● Community needs assessment and technology adoption ● User experience research in low-resource contexts Multilinguality and Cross-Lingual Methods for low-resource languages ● Multilingual language models and their adaptation ● Code-switching and code-mixing ● Cross-lingual transfer learning in low-resource languages. Special Theme Track 1 — Building Applications Based on Large Language Models for Low-Resource Languages LaTeLL’2026 will feature a Special Theme Track dedicated to the development of applications based on Large Language Models (LLMs) for low-resource languages. This track aims to explore innovative methodologies, architectures, and tools that leverage the power of LLMs to enhance linguistic processing, accessibility, and inclusivity for underrepresented languages. Contributions are encouraged on topics such as model adaptation and fine-tuning, multilingual and cross-lingual transfer, ethical and fairness considerations, and the creation of datasets and benchmarks that facilitate the integration of LLM-based solutions in low-resource settings. Special Theme Track 2 — Modern Standard Arabic (MSA) and Arabic Dialects This special track addresses the unique challenges and opportunities in processing Modern Standard Arabic (MSA) and the rich landscape of Arabic dialects. The diglossic nature of Arabic, where the formal MSA coexists with numerous, widely used spoken dialects, presents a significant hurdle for NLP. While MSA is relatively well-resourced, Arabic dialects are quintessential examples of low-resource languages, often lacking standardised orthographies, annotated corpora, and dedicated processing tools. This track invites submissions on novel research and resources aimed at bridging this gap and advancing the state of the art in Arabic language technology. Topics of interest include, but are not limited to: ● Dialect identification and classification ● Creation of corpora and lexical resources for Arabic dialects ● Machine translation between MSA and dialects, and across different dialects ● Speech recognition and synthesis for dialectal Arabic ● Computational modelling of morphology, syntax, and semantics for dialects ● NLP applications (e.g., sentiment analysis, NER) for dialectal user-generated content ● Code-switching between Arabic dialects, MSA, and other languages Submissions and Publication LaTeLL’2026 welcomes high-quality submissions in English, which may take one of the following two forms: ● Regular papers: Up to eight (8) pages in length, presenting substantial, original, completed, and unpublished research. ● Short/poster papers: Up to four (4) pages in length, suitable for concise or focused contributions, ongoing research, negative results, system demonstrations, and similar work. Short papers will be presented during a dedicated poster session. The conference will not consider submissions consisting of abstracts only. All accepted papers (both long and short) will be published as electronic proceedings (with ISBN) and made available on the conference website at the time of the event. The organisers will submit the proceedings for inclusion in the ACL Anthology. To prepare your submission, please make sure to use the LaTeLL’2026 style files available here: LaTeX: https://drive.google.com/file/d/1RceWyUqjFLEbv_oNto-x2Quop7qT4-wf/view?usp=… Word: https://docs.google.com/document/d/1m6VeC9jtMpe-Ku2QREgrPlE2-NTDvJvZ/edit?u… Overleaf: https://www.overleaf.com/read/ttzzfcnjrgvw#e82bef Papers should be submitted through Softconf/START using the following link: https://softconf.com/p/latell2026 Authors of papers receiving exceptionally positive reviews will be invited to prepare extended and substantially revised versions for submission to a leading journal in the field of Natural Language Processing (NLP). The conference will also feature a Student Workshop, and awards will be presented to the authors of outstanding papers. Important dates Due to multiple requests, the submission deadline has been extended to 15 June 2026. In addition, note the revised conference dates below. ● Submissions due: 15 June 2026 ● Notification of acceptance: 21 July 2026 ● Camera-ready due: 31 July 2026 ● Conference: 28, 29 and 30 September 2026 Keynote speaker Nizar Habash (New York University Abu Dhabi) Organisation Conference Chair Ruslan Mitkov (Lancaster University and University of Alicante) Programme Committee Chairs Saad Ezzini (King Fahd University of Petroleum & Minerals) Salima Lamsiyah (University of Luxembourg) Tharindu Ranasinghe (Lancaster University) Organising Committee Maram Alharbi (Lancaster University) Salmane Chafik (Mohammed VI Polytechnic University) Ernesto Estevanell (University of Alicante) Milica Ikonić Nešić (University of Belgrade) Shahin Yousefi (Institute for Advanced Studies in Basic Sciences, Zanjan) Further information and contact details The follow-up calls will provide more details on the conference venue and registration. The conference website is www.latell.org/2026/ and will be updated on a regular basis. For further information, please email 2026(a)latell.org Conference registration is now open — please visit the conference website for further details.

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Call for Participation: AthensNLP 2026 summer school (deadline extended to June 10)
by A. Vlachos 07 Jun '26

07 Jun '26

Call for Participation AthNLP 2026 - 4th ATHENS NLP SUMMER SCHOOL ============================================ ** Preliminary schedule of Speakers, Labs, Events: https://athnlp.github.io/2026/schedule.html ** Info for sponsors: see here<https://drive.google.com/file/d/1J3AC6Yat2sfov0hpRXsCDXnnWLjdm9FI/view> We invite everyone interested in Natural Language Processing and Machine Learning to participate in the 4th Athens Natural Language Processing Summer School taking place in Athens, Greece at NCSR Demokritos Campus between 2-8 September 2026: https://athnlp.github.io/2026/ Important Dates -------------------------- * Application Deadline: June 10, 2026 May 31, 2026 * Decision Announcement: June 22, 2026 June 10, 2026 * Registration: July 12, 2026 June 30, 2026 * Summer School: September 2-8, 2026 Description ------------------ Following successful AthNLP editions in 2019, 2024, and 2025, AthNLP 2026 returns to the campus of NCSR Demokritos in Athens. The summer school is organised by NCSR Demokritos, the Athens University of Economics and Business, RC ATHENA, Heriot-Watt University and ELLIS Unit Manchester, in close collaboration with LxMLS (Lisbon, 20–25 July 2026). The school focuses on Machine Learning methods for NLP, especially Deep Learning and Large Language Models (LLMs), offering: Morning lectures on theory, afternoon hands-on lab sessions, evening research talks, poster sessions, and demos. Our target audience is: * Students and researchers in NLP/Computational Linguistics and Machine Learning; * Computer scientists with interest in NLP and ML; * Industry professionals seeking deeper understanding of these fields. While previous experience with the topics will be helpful, the school assumes no previous knowledge of Natural Language Processing and Machine Learning. The only background assumed is basic mathematics and Python programming. Features of AthNLP: * Attendance at the Social Event, daily lunch as well as morning and afternoon coffee breaks are included in the registration ee. * Lecturers are leading researchers in Machine Learning and NLP. * Students will be able to (optionally) show their current work in poster sessions during coffee breaks. Confirmed Speakers --------------------------------- * Antonis Anastasopoulos, George Mason Computer Science * Isabelle Augenstein, University of Copenhagen * Desmond Elliott, University of Copenhagen * Nizar Habash, NYU Abu Dhabi * Lingpeng Kong, University of Hong Kong * Julia Kreutzer, Cohere * Ryan McDonald * Dong Nguyen, Utrecht University * Anna Rogers, IT University of Copenhagen * Emine Yilmaz, University College London Participation --------------------- To apply, please fill this<https://ijerm0co.forms.app/athens-nlp-2026-summer-school-final> form. The fees are the following: * 300 EUR for students * 400 EUR for university professors or researchers at a public institute * 500 EUR for everyone else AthNLP Summer School Scholarship --------------------- Applicants can apply for the scholarship through the main application form<https://ijerm0co.forms.app/athens-nlp-2026-summer-school-final>. Scholarship recipients will be selected by the Admissions Committee and notified of the outcome after the acceptance decisions have been finalized. The scholarship provided covers only the registration fee for the AthNLP Summer School. Please note that accommodation, travel expenses, and visa costs are not included and remain the responsibility of the scholarship recipients. Any questions should be directed to: athnlp(a)athenarc.gr<mailto:athnlp@athenarc.gr> We are looking forward to your participation! -- The organizers of AthNLP 2026

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[CfP] Sci-K @ISWC 2026 – 6th Intl. Workshop on Scientific Knowledge Representation, Discovery, and Assessment
by Georg Rehm 07 Jun '26

07 Jun '26

----------------------------------------------------------------------------------------------------------------------------- CALL FOR PAPERS Sci-K – 6th International Workshop on Scientific Knowledge Representation, Discovery, and Assessment in conjunction with the International Semantic Web Conference (ISWC) 2026 October 25/26 2026, Bari, Italy (exact day TBD) Web: https://sci-k.github.io<https://sci-k.github.io/>, X: @scik_workshop<https://twitter.com/scik_workshop>, LinkedIn: https://www.linkedin.com/groups/10083235/ Submission deadline: July 24th, 2026 (Extended) ----------------------------------------------------------------------------------------------------------------------------- Aim and Scope: Recently, we have experienced a massive increase in the volume of scientific articles and research artefacts (e.g., datasets, models, software packages). This trend is expected to continue and pose challenges, including developing large-scale machine-readable representations of scientific knowledge, making scholarly data and knowledge discoverable and accessible, and designing reliable and comprehensive metrics to assess scientific impact and measure the quality of structured scientific resources and AI-driven research support. Sci-K provides a forum for researchers and practitioners from diverse disciplines to present, educate, and guide research on scientific knowledge. Three themes cover the most important challenges in this field: Representation. There is a need for flexible, context-sensitive, fine-grained, and machine-actionable representations of scholarly knowledge that are, at the same time, structured, interlinked, and semantically rich: Scientific Knowledge Graphs (SKGs), also known as Research Knowledge Graphs (RKGs). Even more so, in line with the recent Barcelona Declaration on Open Research Information, SKGs/RKGs can power data-driven services to navigate, analyse, and make sense of research dynamics, thus becoming the structural backbone of model scholarly communication and research intelligence, such as AI-driven research assistants. Current challenges relate to the design of ontologies or alternative representation methods that conceptualise scholarly knowledge, model its representation, both metadata as well as richer semantic content such as hypotheses, methods, claims, and research results, and enable exchange. Furthermore, supporting interdisciplinary knowledge representation and cross-domain alignment across heterogeneous scientific fields remains a key challenge. Lastly, application domains such as semantic publishing illustrate how representation approaches can be operationalised in scholarly communication, while also exposing open challenges related to usability, adoption, and the balance between structured and natural language formats. Discoverability. Scholarly information should be easily findable, discoverable, and visible so that it can be mined and organised within SKGs/RKGs. Discovery tools should be able to crawl the Web and identify scholarly data, whether on a publisher’s website or in institutional repositories, preprint servers, or open-access repositories. This is challenging and requires a deep understanding of both the scholarly communication landscape and the needs of a range of stakeholders: researchers (across different fields and subfields), publishers, funders, and the general public. Other challenges include the discovery and extraction of entities and concepts, the integration of information from heterogeneous sources, the identification of duplicates, the identification of connections between entities, and the identification of conceptual inconsistencies. We are particularly interested in modern systems that integrate AI, NLP, and LLM technologies, including hybrid human-AI workflows where automated methods are combined with expert curation and validation. Lastly, application domains and use cases are needed to better understand for which concrete research tasks ontologies, knowledge graphs, and LLMs can effectively support researchers, such as literature exploration, hypothesis generation, and synthesis of scientific knowledge. Assessment. Due to the continuous growth in the volume and diversity of research products, and the global movement around Responsible Research Assessment reforms (e.g., DORA, CoARA), inclusive approaches to research evaluation are more relevant than ever. There is a need for reliable, comprehensive, inclusive and equitable metrics and indicators of the scientific impact and merit of publications, datasets, research institutions, individual researchers, and other relevant entities. In addition, there is a growing need for methods to assess the quality, reliability, and usefulness of the underlying representations and discovery systems themselves, including scientific knowledge graphs, ontologies, and AI-driven discovery tools, in terms of their coverage, accuracy, interpretability, and support for research tasks. ----------------------------------------------------------------------------------------------------------------------------- Topics of Interest: * Representation * Data models for the description of scholarly data and their relationships, including rich semantic representations of hypotheses, methods, claims, and research results. * Description and use of provenance information of scientific data. * Integration and interoperability models of different data sources, including cross-domain and interdisciplinary knowledge alignment * NLP and AI approaches that demonstrate related methods and technologies. * Relevant knowledge graphs and ontologies. * Hybrid or LLM-based approaches for representation and knowledge graph engineering. * Infrastructures and metadata standards aligned with the Barcelona Declaration to ensure open and sustainable research information. * Applications of representation approaches in scholarly communication, including semantic publishing and structured scientific communication. * Discoverability * Methods for extracting metadata, entities and relationships from scientific data. * Methods for the (semi-)automatic annotation and enhancement of scientific data. * Methods and interfaces for the exploration, retrieval, and visualisation of scholarly data. * NLP and AI approaches that demonstrate related methods and technologies. * Hybrid human-AI workflows for discovery, including curation, validation, and knowledge refinement. * Methods supporting interdisciplinary discovery and cross-domain knowledge exploration. * Applications and use cases demonstrating how ontologies, knowledge graphs, and LLMs support research tasks, such as literature exploration, hypothesis generation, and knowledge synthesis. * Assessment * Novel methods, indicators, and metrics for quality and impact assessment of scientific publications, datasets, software, and other research output. * Uses of scientific knowledge graphs and citation networks for the facilitation of research assessment. * Studies regarding the characteristics or the evolution of scientific impact or merit. * NLP and AI approaches that demonstrate related methods and technologies. * Approaches to research assessment aligned with responsible research evaluation initiatives (e.g., DORA, CoAra). . * Metrics and frameworks for evaluating the quality, completeness, and reliability of scientific knowledge representations, including knowledge graphs and ontologies. * Evaluation of discovery systems and AI-driven tools, including their effectiveness, transparency, interpretability, and support for research tasks. * Benchmarking and evaluation methodologies for scholarly data infrastructures and AI-based research support systems (using ontologies, LLMs, KGs). ----------------------------------------------------------------------------------------------------------------------------- /***** NEW *****/ Exclusive to ISWC 2026 main tracks’ submissions: We invite you to submit your paper to Sci-K 2026 if it was rejected from the main tracks (Research, Resource, In-Use), provided that it is in scope of the workshop. Info on the website: https://sci-k.github.io<https://sci-k.github.io/> ----------------------------------------------------------------------------------------------------------------------------- Submission Guidelines: * Full research papers (up to 12 pages + unlimited pages of appendices and references) * Short research papers (up to 6 pages + unlimited pages of appendices and references) * Vision/Position papers (up to 6 pages + unlimited pages of appendices and references) The workshop calls for full research papers, describing original work on the listed topics, and short papers on early research results, new results on previously published works, demos, and projects. In accordance with Open Science principles, research papers may also be in the form of data or software papers (short or long papers). Data papers present the motivation and methodology for creating data sets of value to the community, e.g., annotated corpora, benchmark collections, and training sets. Software papers present the software's functionality, its value to the community, and its applications. To enable reproducibility and peer-review, authors are requested to share the DOIs of datasets and software products described in the articles. The workshop also calls for vision/position papers that provide insights into new or emerging areas, innovative or risky approaches, or applications that will require extensions to the state of the art. Vision papers do not necessarily have to present results, but should carefully elaborate on the motivation and ongoing challenges of the described area. We particularly welcome papers that address the technical challenges of implementing the principles of the Barcelona Declaration or contribute to the cause of Responsible Research Assessment. Sci-K will adopt a single-blind review process, and each paper will be reviewed by at least three Program Committee members. Submissions must be in PDF format and must adhere to the CEURART single-column template. Submissions that do not follow these guidelines, or do not view or print properly, may be rejected without review. The proceedings of the workshops will be published on CEUR (indexed in Scopus, DBLP and so on). Submit your contributions following the link: https://sci-k.github.io/2026/#submission<https://sci-k.github.io/2025/#submission> ----------------------------------------------------------------------------------------------------------------------------- Important Dates: * Paper submission: July 24th, 2026 (23:59, AoE timezone) * Notification of acceptance: August 21st, 2026 * Camera-ready due: September 13th, 2026 (tentative) * Workshop day: October 25/26, 2026 (TBA) ----------------------------------------------------------------------------------------------------------------------------- Organising Committee (alphabetical order): Allard Oelen, TIB, DE Anna Jacyszyn, FIZ Karlsruhe, DE Andrea Mannocci, CNR-ISTI, IT Francesco Osborne, The Open University, UK Georg Rehm, DFKI, DE Angelo Salatino, The Open University, UK Sonja Schimmler, TU Berlin, Fraunhofer FOKUS, DE Lise Stork, University of Amsterdam, NL

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Two PhD positions at Saarland University and Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA)
by Michael Hahn 07 Jun '26

07 Jun '26

The groups of Vera Demberg <https://www.uni-saarland.de/lehrstuhl/demberg.html>and Michael Hahn <https://lacoco-lab.github.io/>invite applications for two PhD positions at Saarland University, affiliated with the Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA). ### Topics Position in Vera Demberg's group: - computational models of pragmatics and/or theory of mind, with a focus on inferring the intent of the conversational partner during interaction - experimental studies and computational models on how individual differences in human cognition affect human language processing Position in Michael Hahn's group: - abilities & limitations of transformers and other LLM architectures, - LLM interpretability, - foundations of LLM reasoning, - foundations of AI safety. ### Key Information The PhD positions are part of Saarland University research groups of the Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA) and will be located in Saarbrücken. Please see the ELIZA PhD Program Requirements and Arrangements for ELIZA-funded PhD students: https://eliza.school/opportunities/eliza-phd-program-fully-funded-positions The positions are intended to begin at the earliest possible date (start date is negotiable in both directions, i.e., an earlier start as soon as August 2026 or a later start are possible). Application deadline: June 18, 2026 ### How to apply Please find further information and application details here: Position in Vera Demberg's group: https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf… Position in Michael Hahn's group: https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf… ### About ELIZA and the Research Environment ELIZA is a graduate school in Artificial Intelligence funded by the German Academic Exchange Service (DAAD). Research and academic training within ELIZA focus on four key areas: (1) the foundations of Machine Learning (ML) — including ML-driven fields such as Computer Vision, Natural Language Processing (NLP), or Robot Learning —, (2) machine learning systems, (3) applications in autonomous systems, and (4) transdisciplinary applications of ML in other scientific domains, ranging from the life sciences to physics. Saarland University is one of the leading centers for computational linguistics and computer science in Europe and offers a dynamic and stimulating research environment. It is renowned for its interdisciplinary research in language, translation, computation and cognition. The groups are affiliated with the Department of Computer Science and with the Department of Language Science and Technology. The Department of Language Science and Technology comprises about 100 research staff in ten research groups in the fields of computational linguistics, psycholinguistics, speech processing, and corpus linguistics. Both departments are part of the Saarland Informatics Campus, which brings together 800 researchers and 2,000 students from 81 countries. We collaborate closely with the university's Department of Computer Science, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI). Our researchers and students come from all over the world, and our primary working language is English. If you have further questions, please email Vera Demberg <demberg(a)lst.uni-saarland.de> or Michael Hahn <mhahn(a)lst.uni-saarland.de>. -- Michael Hahn Tenure-Track Professor Saarland Informatics Campus Saarland University Group: https://lacoco-lab.github.io/ Personal: https://www.mhahn.info/

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Call for Papers: FEL XXX 2026, Paris, France, 3-5 November 2026 - Submission deadline 10 July 2026
by Steven Krauwer 06 Jun '26

06 Jun '26

CALL FOR PAPERS The 30th Annual Conference of the Foundation for Endangered Languages, FEL XXX (2026) "Endangered Languages and Innovative Technologies: Documentation, Processing and Revitalisation" Organised by the Foundation for Endangered Languages(FEL <https://ogmios.org>) and the Institut National des Langues et Civilisations Orientales (Inalco <https://inalco.fr/en>) Paris, France, 3-5 November 2026 The conference aims to create a space for dialogue between researchers, technologists, and, crucially, language communities themselves, concerning the opportunities and challenges presented by innovative technologies in efforts to prevent language loss and promote the maintenance and revitalisation of endangered languages. We strongly encourage submissions from community members, educators, activists, and practitioners, as well as presentations of collaborative work between academic and non-academic partners. More about the theme: https://www.ogmios.org/conferences/2026/theme.php Important dates: # 10July2026:Deadlineforsubmission of abstracts # 13 July 2026: Registration opens # 01 August2026:Selectedapplicantsinformed # 15 September2026:Deadlineforsubmission of extended versions of accepted abstracts # 03-05November 2026:Conference dates # 06 November 2026: Excursion (to be confirmed) Conference website: https://ogmios.org/conferences/2026 Email: fel2026(a)ogmios.org -- ------------------------------------------------------------------------ Steven Krauwer, CLARIN/FEL/ELSNET/TLC, Drift 10, 3512 BS Utrecht, NL

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37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): First Combo Call for Workshop Papers
by Announce 06 Jun '26

06 Jun '26

*** First Combo Call for Workshop Papers *** 37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026) October 20-23, 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://cyprusconferences.org/issre2026/ Workshops at ISSRE provide additional opportunities for collaborating and exchanging information, for both practitioners from industry and academic researchers. The workshops aim at discussing recent developments and open challenges in engineering high-assurance software and systems, and they are open to exchange of ideas at an early stage before maturation. All accepted workshop papers will be published by IEEE in the ISSRE 2026 accompanying proceedings volume. The following workshops are confirmed and will be organized co-located with ISSRE 2026. 3rd International Workshop on Advanced Intelligent Software Quality (AISQ 2026) https://sites.google.com/view/aisq-2026/home In the era of Industry 4.0, advanced intelligent software systems, such as cyber-physical systems (CPS), machine learning-based systems, manufacturing systems, digital twin systems, quantum software applications, multi-agent systems, real-time systems, and LLM-based systems, are playing an increasingly important role in both the industrial world and our daily lives. Failures or requirement violations in these systems may lead to disruptive consequences or even catastrophic outcomes. Nowadays, extensive research, spanning both formal methods and engineering practices, has been conducted to improve the quality of advanced intelligent software from various aspects, such as usability, correctness, reliability, scalability, and robustness. New research topics and directions, such as prompt engineering and harness engineering, are constantly emerging. Our AISQ aims to bridge the gap between the increasing complexity of modern systems and the scalability of quality assurance approaches and fundamental theories. Specifically, AISQ seeks to collect promising and high-quality research achievements and provide an international venue to discuss advanced discoveries and emerging trends related to the quality of Advanced Intelligent Software in both academia and industry. 3rd International Workshop on Human Factors for Software Dependability (HFSD 2026) https://hfsdworkshop.github.io/ Software is created by humans and widely used by humans, with the ultimate goal of benefiting society. HFSD is a specialized workshop that brings together researchers from multiple disciplines to address the human factors that shape the reliability, safety, security, and availability of software systems. Topics of interest include, but are not limited to, human error, human–AI collaborative programming, social factors in security risks, and human-in-the-loop approaches for trustworthy autonomous systems. 1st International Workshop on Quality Assurance of Conversational Agentic Systems (QA4AGENTS) https://qa4agents.github.io/ The QA4Agents workshop focuses on quality assurance techniques, methodologies, and tools for conversational agentic systems, namely systems capable of interacting with users and external services through natural language. As these systems become increasingly autonomous and deeply integrated into complex software ecosystems, ensuring their reliability, robustness, safety, and correctness represents a critical challenge. The workshop aims to bring together researchers and practitioners from the fields of software engineering, software testing, artificial intelligence, and runtime verification to discuss emerging approaches for the evaluation, testing, monitoring, benchmarking, and validation of conversational agentic systems. 4th IEEE International Workshop on Reliable and Secure AI for Software Engineering (ReSAISE 2026) https://resaise.github.io/2026/ Artificial Intelligence is now deeply embedded in software engineering workflows, from code generation and program repair to vulnerability detection, test generation, maintenance, and developer support. Large Language Models and agentic AI systems make these workflows more powerful, but they also introduce dependability questions that software engineering research cannot treat as an afterthought. ReSAISE’26 brings together researchers and practitioners from the AI and Software Engineering communities to discuss how AI-based solutions for software engineering can be made reliable, secure, trustworthy, and useful in real development settings. The workshop continues the ReSAISE focus on reliability and security while reflecting the growing role of LLMs, AI coding assistants, and multi-agent software engineering systems. We welcome contributions that study the development, deployment, evaluation, and operation of reliable and secure AI for software engineering, including methods, empirical studies, tools, benchmarks, experience reports, and lessons learned from negative or unexpected results. 18th International Workshop on Software Aging and Rejuvenation (WoSAR 2026) https://www.wosar.net/ WoSAR is the premier international venue for discussing the recent advances and discoveries in theoretical and practical aspects of software aging and rejuvenation research. Software aging is the progressive degradation of performance and dependability in computer programs, especially those executing for a long period of time. This phenomenon has been extensively studied for more than 20 years, as it affects many systems, from embedded devices to server software to critical systems. Software rejuvenation, i.e., proactive restart of application (components/threads/tasks), reboot of VMs or machines, and failover to a replica are the most prominent approaches to combat software aging. A variety of rejuvenation techniques, scheduling plans, scope and granularity, have been proposed for different application types and platforms. Important Dates (AoE) • Submission deadline: July 20, 2026 (indicative, refer to the workshops' websites) • Notification of acceptance: August 10, 2026 • Camera-ready copy submission: August 17, 2026 • Author registration deadline: August 19, 2026 Organisation General Chairs • Leonardo Mariani, University of Milano - Bicocca, Italy • George A. Papadopoulos, University of Cyprus, Cyprus Program Coordinator • Roberto Natella, GSSI, Italy Research Program Committee Chairs • Domenico Cotroneo, UNC Charlotte, USA • Jie M. Zhang, King's College London, UK Industry Program Chairs • Jinyang Liu, Bytedance, USA • Sigrid Eldh, Ericsson AB, Sweden Workshop Chairs • Georgia Kapitsaki, University of Cyprus, Cyprus • August Shi, The University of Texas at Austin, USA Doctoral Symposium Chairs • Stefan Winter, LMU Munich, Germany • Lili Wei, McGill University, Canada Fast Abstract Chairs • Luigi Lavazza, University of Insubria, Italy • Yintong Huo, SMU, Singapore JIC2 Chair • Helene Waeselynck, LAAS-CNRS, France Publicity Chairs • Allison K. Sulivan, The University of Texas at Arlington, USA • Jose D'Abruzzo Pereira, University of Coimbra, Portugal Publication Chairs • Sherlock Licorish, Otago Business School, New Zealand • Maria Teresa Rossi, GSSI, Italy Artifact Evaluation Chairs • Naghmeh Ivaki, University of Coimbra, Portugal • Fumio Machida, University of Tsukuba, Japan Diversity and Inclusion Chair • Eleni Constantinou, University of Cyprus, Cyprus Financial Chair • Costas Pattichis, University of Cyprus, Cyprus Web Chairs • Michalis Ioannides, Easy Conferences LTD • Elena Masserini, University of Milano - Bicocca, Italy Registration Chair • Easy Conferences LTD

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PhD position on ethical challenges in NLP at the University of Bergen, Norway
by Samia Touileb 05 Jun '26

05 Jun '26

[Reminder] There is a vacancy for a PhD position at the Department of Information Science and Media Studies, at the University of Bergen, Norway. We are seeking a highly motivated candidate for a 4-year PhD position focused on ethical challenges in NLP, including topics such as bias, fairness, safety, and value alignment. The position offers flexibility for the candidate to develop and shape their own research questions, while contributing to the broader goal of developing and advancing responsible and ethically grounded NLP systems. Check the full announcement and application details here: https://www.jobbnorge.no/en/available-jobs/job/298789/phd-position-at-the-d… Closing date: June 7th, 2026 Kind regards, Samia --- Samia Touileb Associate Professor in Natural Language Processing Department of Information Science and Media Studies, University of Bergen MediaFutures: Research Center for Responsible Media Technology & Innovation Fagspråksenteret: Centre for Norwegian Professional Language

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PhD position in Language Modeling for Linguistics, at Bielefeld University
by Sina Zarrieß 05 Jun '26

05 Jun '26

The Computational Linguistics Group at Bielefeld University is seeking applications for a ** Full-time Research Assistant / Ph.D. Student position ** The position is part of the research project FORESTS which aims to develop a new interdisciplinary approach to using language models (=LMs) as tools for comparative linguistic research and linguistic theories as tools for assessing the systemic robustness of LMs. FORESTS is funded within the DFG-Priority Program "Robust Assessment & Safe Applicability of Language Modelling: Foundations for a New Field of Language Science & Technology (LaSTing)" (SPP 2556). For more details on FORESTS and LaSTing, see https://clause-bielefeld.github.io/projects/. The research tasks of this PhD position will involve the development and grammatical analysis of small, multilingual language models (BabyLMs) and close collaboration with the second PhD student in FORESTS who will work in the field of general linguistics (https://linguistlist.org/issues/37/1971/). The duration of the position is 3 years. Salary is 100% TVL-E13 scale (about 4.000,- EUR per month before taxes, depending on relevant work experience). Application Deadline: 29-Jun-2026 Application Instructions: please visit the application website and press the button "Apply now" to get to the application form: https://jobs.uni-bielefeld.de/job/view/4910/research-position-m-f-d-in-comp… Please do not apply via e-mail, but use the application form following the link above. If you have any questions, please contact: sina.zarriess(a)uni-bielefeld.de -- Prof. Dr. Sina Zarrieß Computational Linguistics https://clause-bielefeld.github.io/ University of Bielefeld Universitätsstr. 25 33615 Bielefeld, Germany +49 521 106-2534

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PhD position in Uncertainty Quantification and Communication at ITU Copenhagen
by Christian Hardmeier 04 Jun '26

04 Jun '26

Would you like to help us create large language models that can express their confidence in a way people understand? We are offering an opportunity to pursue a fully funded PhD in computer science, specialising in data science/natural language processing, in the context of an innovative research project aiming to improve the trustworthiness of large language models (LLMs) and enable them to signal their confidence effectively to their users. You will be part of an exciting project spanning natural language processing, machine learning and experimental linguistics. You will develop methods to express uncertainty with large language models in a controllable way and align the level of confidence that is communicated with the user’s perceived confidence. The project has a dual focus on advancing computational methods in natural language processing and validating them in user studies with human participants. The ideal candidate will have a strong interest in both parts of the project and a solid background in at least one of them. The project is jointly led by Dr. Christian Hardmeier at ITU and Dr. Jes Frellsen at the Technical University of Denmark in close collaboration with Prof. Hannah Rohde at the University of Edinburgh. An extended research stay in Edinburgh is an essential part of the project. Apply here: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… Deadline: 24 June 2026 Very soon, we'll also advertise a second PhD position in the same project at DTU, which will be more focused on machine learning. The advertisement will follow on this list! -- Christian Hardmeier Associate Professor, IT University of Copenhagen https://christianhardmeier.rax.ch/

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