November 2025 - Corpora

Webinar by: Goran Glavaš (Universität Würzburg)
by webinars.hitz＠ehu.eus 28 Nov '25

28 Nov '25

**** We apologize for the multiple copies of this email. In case you are already registered to the next webinar, you do not need to register again. **** Dear colleague, We are happy to announce the next webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). We are organizing one seminar every month. Next webinar: Speaker: Goran Glavaš (Universität Würzburg) Title: Improving Multilingual Abilities of (Different Types of) Language Models Date: Thursday, December 4, 2025 - 15:00 CET Summary: Language models tend to excel in languages they see the most during (pre)training—leaving low-resource languages at a stark disadvantage. But what if we could boost performance without throwing (much) more data or compute at the problem? In this talk, I’ll present a set of resource-lean (read: “cheap”) strategies that enhance multilingual language understanding and generation in low-resource settings. I’ll show how conceptually effective knowledge transfer techniques—not just bigger models—can improve multilingual capabilities across three major fronts: (1) standard text-based LLMs, (2) vision-language models, and (3) code language models. The takeaway? Scaling isn’t the only answer: for truly inclusive multilingual language technology, we need stronger inductive biases and more conceptual innovation. Bio: Goran Glavaš is a Full Professor for Natural Language Processing at the University of Würzburg (Germany), Center for AI and Data Science (CAIDAS). His research focuses on multilingual language understanding and cross-lingual transfer, vision-and-language models, and trustworthiness of (multilingual) language models. He has (co-)authored over 120 publications in NLP and IR, regularly publishing at top-tier venues (ACL, EMNLP, NAACL, EACL, TACL, SIGIR, ECIR). He received the best long paper award at EACL 2021 and outstanding paper awards at EACL 2024 and ACL 2024. He served as an Editor-in-Chief of the ACL Rolling Review (ARR) and regularly serves as (Senior) Area Chair for top-tier NLP conferences. Registration: https://www.hitz.eus/webinar_izenematea You can view the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars Upcoming webinars: Thamar Solorio (January 15) Henning Wachsmuth (February 5) José Andrés González López (March 5) Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa P.S: HiTZ will not grant any type of certificate for attendance at these webinars.

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Fully funded Postdoc and PhD Positions in Human-AI Collaboration for Cybersecurity, ATHENE, TU Darmstadt / GU Frankfurt, Germany
by Niemann, Elisabeth 27 Nov '25

27 Nov '25

🛡️ 𝗪𝗲 𝗮𝗿𝗲 𝗵𝗶𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗛𝗔𝗜𝗖𝗖 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗮𝘁 𝗔𝗧𝗛𝗘𝗡𝗘 (National Research Center for Applied Cybersecurity) Hybrid human–AI agentic cybersecurity is the next step toward digital defense! Our new project 𝗛𝗔𝗜𝗖𝗖 – 𝗛𝘂𝗺𝗮𝗻-𝗔𝗜 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 investigates how LLM–based AI agents and human experts can work together to analyse complex security data and rethink cybersecurity architectures. We invite applications for 𝗳𝘂𝗹𝗹𝘆 𝗳𝘂𝗻𝗱𝗲𝗱 𝗣𝗵𝗗 𝗮𝗻𝗱 𝗣𝗼𝘀𝘁𝗱𝗼𝗰 𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻𝘀 in Computer Science, AI, Human–Computer Interaction and Cybersecurity. Become part of defining the next generation of trustworthy, human–AI collaborative agentic cybersecurity ✨ Do not miss the opportunity for groundbreaking science and get a chance to work together with an amazing diverse team of leading researchers! 🔗 More information: https://www.informatik.tu-darmstadt.de/ukp/ukp_home/jobs_ukp/2025_haicc_pos… 📩 Apply via the career platform: https://careers.ukp.informatik.tu-darmstadt.de/, choose the “𝗔𝗧𝗛𝗘𝗡𝗘-𝗛𝗔𝗜𝗖𝗖” position 📅 Application deadline: 𝟭𝟰 𝗗𝗲𝗰𝗲𝗺𝗯𝗲𝗿 𝟮𝟬𝟮𝟱 (positions remain open until filled) -------------------------------------------------------------------- Prof. Dr. Iryna Gurevych UKP Lab Technical University Darmstadt, Germany http://www.ukp.tu-darmstadt.de/

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Call for Papers - ALTARS 2026 @ The Web Conference
by giorgiomaria.dinunzio＠unipd.it 27 Nov '25

27 Nov '25

[apologies for cross posting] We are pleased to announce the Call for Papers for the ALTARS Workshop (Advanced Legal and Terminology-Aware Retrieval Systems), which will be held as part of The Web Conference 2026. https://altars2026.dei.unipd.it/ ALTARS explores new methodologies that bridge high-recall retrieval, Web intelligence, and responsible AI, with a special emphasis on Technology-Assisted Review (TAR) at Web scale. The workshop aims to gather researchers and practitioners focused on foundational and applied advances in transparent, reliable, and domain-aware retrieval and review systems. Topics of Interest We invite contributions on, but not limited to, the following themes: 1. Web-Scale Applications of Technology-Assisted Review Research on applying Technology-Assisted Review (TAR) methodologies to large and dynamic Web environments, including: Scientific knowledge curation and evidence synthesis Open data discovery and enrichment Legal, biomedical, environmental, or governmental Web content review Misinformation detection and content integrity Multilingual and cross-domain review pipelines 2. Intelligent and Hybrid Retrieval on the Web Studies that combine TAR principles with Web-scale search and representation frameworks, such as: LLM-based retrieval-augmented generation (RAG) Semantic search and entity-centric retrieval Integration of knowledge graphs and structured Web data Adaptive or high-recall ranking strategies Retrieval workflows for heterogeneous information sources 3. Interactive, Explainable, and Human-in-the-Loop TAR Research focusing on transparent, interpretable, and user-centered TAR systems, including: User-in-the-loop review and collaborative curation systems Explainable AI methods for document triage and prioritization Uncertainty and confidence estimation for AI-assisted decisions Evaluation of interaction models and review interfaces 4. Responsible and Fair Web Review Systems Investigations into fairness, accountability, and ethical design of Web-scale review workflows, such as: Bias detection and mitigation in large-scale content filtering Responsible and trustworthy AI in regulatory, journalistic, or civic contexts Auditability and transparency of TAR workflows Human oversight and governance for automated review systems Publication and Proceedings Accepted papers that meet the camera-ready deadline will be published in the ACM Companion Proceedings of The Web Conference 2026. Important Dates Submission deadline: January 22nd, 2026 Notification of acceptance: January 29th, 2026 Camera-ready deadline: February 2nd, 2026 Submission Format Submissions must follow the ACM two-column proceedings template, available here: 🔗 https://www.acm.org/publications/proceedings-template 🔗 Overleaf: https://www.overleaf.com/latex/templates/association-for-computing-machiner… We welcome the following submission types: Research papers presenting original work (up to 4 pages) Posters for ongoing research, tool presentations, demos, or position papers (up to 2 pages) For all submission types, references are included in the page limit. Organizing Committee Giorgio Maria Di Nunzio – University of Padua, Italy Evangelos Kanoulas – University of Amsterdam, The Netherlands Prasenjit Majumder – DAIICT, Gandhinagar and TCG CREST, Kolkata, India We warmly invite the community to contribute and participate. In addition to paper presentations, the workshop will feature invited talks and discussions aimed at shaping future research directions in trustworthy, domain-aware, and Web-scale review systems. We look forward to your submissions and to welcoming you at ALTARS 2026.

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PhD student in AI Security at Linköping University
by khac-hoang.ngo＠liu.se 26 Nov '25

26 Nov '25

Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory components to execute complex reasoning and decision-making tasks. These agents are increasingly deployed in domains such as healthcare, finance, cybersecurity, and autonomous vehicles, where they interact dynamically with external knowledge sources, retain memory across sessions, and autonomously generate responses and actions. While their adoption brings transformative benefits, it also exposes them to new and critical security risks that remain poorly understood. Among these risks, memory poisoning attacks pose a severe and immediate threat to the reliability and security of LLM agents. These attacks exploit the agent’s ability to store, retrieve, and adapt knowledge over time, leading to biased decisions, manipulation of real-time behavior, security breaches, and system-wide failures. The goal of this project is to develop a theoretical foundation for understanding and mitigating memory poisoning in LLM agents. This position, funded by the Swedish Research Council (VR), offers an exciting opportunity to work at the forefront of AI security, tackling some of the most pressing challenges in the field. Full information and link to apply: https://liu.se/en/work-at-liu/vacancies/27883

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SEPLN CFP issue 76 ***Deadline Extension December 5th***
by aitziber.atucha＠ehu.eus 26 Nov '25

26 Nov '25

[Spanish version below] Please consider contributing and/or forwarding to appropriate colleagues and groups. *******We apologize for the multiple copies of this e-mail****** Call for papers for issue 76 of the journal Procesamiento del Lenguaje Natural http://www.sepln.org/en/journal http://www.sepln.org/en/journal/author-guidelines Introduction The aim of the journal Procesamiento del Lenguaje Natural is to provide a forum for the publication of scientific-technical articles in the field of Natural Language Processing (NLP), for both the national and international scientific community. The articles must be unpublished and cannot be simultaneously submitted for publication in other journals or conference proceedings. The journal also aims to promote the development of areas related to NLP, disseminate research carried out, identify future guidelines for basic research, and present software applications in this field. Every year the Sociedad Española de Procesamiento del Lenguaje Natural (SEPLN) (Spanish Society for the Natural Language Processing) publishes two issues of the journal, including original articles, presentations of R&D projects, book reviews, and summaries of PhD theses. The scientific quality of the Journal is supported by the 2024 JCR index (JIF: 1.3, JCI: 0.48, Q2-Linguistics - Q4-Computer Sciences, Artificial Intelligence ESCI), the SCImago Journal Ranking (2024 SJR: 0.57, Q2-Computer Science Applications, Q1-Linguistics and Language), the Scopus Index (2024 CiteScore: 7.3) and the index SNIP (Source Normalized Impact per Paper) with 1.61 points. More information at: http://www.sepln.org/en/journal/quality. Topics NLP for low-resource languages Efficient and sustainable NLP methods Ethics, Bias and Fairness in NLP Truthworthy and explainability in NLP Security and privacy in NLP Text and Multimodal Generation Multimodality and Language Grounding to Vision Knowledge and common sense Computational lexicography and terminology Linguistic theories, Cognitive Modeling and Psycholinguistics Morphological and Syntactic analysis Corpus linguistics Development of linguistic resources and tools Semantics, pragmatics, and discourse Machine translation Speech synthesis and recognition Audio indexing and retrieval Dialogue systems and interactive systems/ Conversational assistants Monolingual and multilingual information extraction and retrieval Question answering systems Automatic textual content analysis Sentiment analysis, opinion mining and argument mining Plagiarism detection Negation and speculation processing Text summarization Text simplification Image retrieval NLP in specific domains (Medicine, Law, Education) Submission Information The deadline has been extended until December 5th, 2025. Remember that proposal must must meet certain format and style requirements. All submissions must be in PDF format and submitted electronically using the OpenReview system. Submitted papers will be subjected to a blind review by at least three members of the program committee. Categories of papers Regular papers with original contributions. Summary of PhD thesis. Information for Authors The proposals can be written in Spanish or English and should be at most 10 A4-size pages of content, plus unlimited pages for references, and 4 pages maximum for summaries of PhD theses. The papers must include the following sections: The title of the communication (in English and Spanish). An abstract in English and Spanish (maximum 150 words). A list of keywords or related topics (in English and Spanish). The documents must not include headers or footers. As reviewing will be blind, the paper should not include the authors’ names and affiliation. Furthermore, self-references that reveal the author’s identity should be avoided. The articles should only include the title, the abstract, the keywords and the proposal. We recommend using the LaTeX and Word templates that can be downloaded from the SEPLN web (author guidelines have been updated): http://www.sepln.org/index.php/en/journal/author-guidelines Note on camera ready The final version of the paper (camera ready) should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper. Preprint policy The Journal allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper it is “under review” in the Journal Procesamiento del Lenguaje Natural. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper. Important dates Submission deadline EXTENSION: December 5th, 2025 Notification of acceptance: January 27th, 2026 Camera ready: February 7th, 2026 Publication: March 2026 Contact person: Aitziber Atutxa (aitziber.atucha(a)ehu.eus) Editorial Committee of the Procesamiento del Lenguaje Natural -------------------------------------------------------------------------------------------------------------------- ***********Disculpen si reciben varias copias de este mensaje ************ Por favor, si lo considera oportuno, distribuya este llamamiento entre sus colegas. Petición de artículos para la revista Procesamiento del Lenguaje Natural nº 76 http://www.sepln.org/la-revista http://www.sepln.org/la-revista/informacion-para-autores Objetivos de la revista La revista Procesamiento del Lenguaje Natural es un foro de publicación de artículos científico-técnicos en el ámbito del Procesamiento del Lenguaje Natural (PLN), tanto para la comunidad científica nacional como internacional. Los artículos tienen que ser inéditos y no haber sido postulados para ser publicados simultáneamente en otras revistas o actas de congresos. La revista quiere potenciar el desarrollo de las diferentes áreas relacionadas con el PLN, mejorar la divulgación de las investigaciones que se llevan a cabo, identificar las futuras directrices de la investigación básica y mostrar las posibilidades reales de aplicación en este campo. Anualmente la SEPLN (Sociedad Española para el Procesamiento del Lenguaje Natural) publica dos números de la revista, que incluyen artículos originales, presentaciones de proyectos, reseñas bibliográficas y resúmenes de tesis doctorales. La calidad científica de la Revista está respaldada por el índice del JCR 2024 JCR index (JIF: 1.3, JCI: 0.48, Q2-Linguistics - Q4-Computer Sciences, Artificial Intelligence ESCI), el índice SCImago Journal Ranking (2024 SJR: 0.57, Q2-Computer Science Applications, Q1-Linguistics and Language), el índice de Scopus (2024 CiteScore: 7.3) y el índice SNIP (Source Normalized Impact per Paper) con 1,61 puntos. Más información en http://www.sepln.org/la-revista/calidad. Áreas temáticas PLN para lenguas con recursos limitados Diversidad y PNL para lenguas de bajos recursos Métodos de PNL eficientes y sostenibles LLM: Diseño, Creación, Evaluación Ética, Sesgo y Equidad en la PNL PNL veraz y explicable Seguridad y Privacidad en PNL Generación Texto y Multimodal Multimodalidad y fundamento del lenguaje para la visión Conocimiento y sentido común Teorías lingüísticas, modelado cognitivo y psicolingüística Análisis Morfológico y Sintáctico Lingüística de corpus Desarrollo de recursos y herramientas lingüísticas Semántica, pragmática y discurso Traducción automática Reconocimiento y síntesis de habla Indexación y recuperación de Audio Sistemas de diálogo y sistemas interactivos/Asistentes conversacionales Recuperación y extracción de información monolingüe y multilingüe Sistemas de búsqueda de respuestas Análisis automático de contenido textual Análisis de opiniones, emociones y minería de la argumentación Detección de plagio Procesamiento de la negación y la especulación Resumen automático de texto Simplificación de texto Recuperación de imágenes PLN especifico al dominio (Medico, Juridico-administrativo, Educación, etc) Envío de trabajos Las propuestas de trabajos (artículos y resúmenes de tesis) podrán ser enviadas hasta la fecha límite del 5 de Diciembre del 2025. El envío y la revisión de las propuestas se realizarán exclusivamente en formato PDF y se gestionarán a través del sistema OpenReview. La evaluación de los trabajos pasará por un proceso de revisión ciego realizado como mínimo por tres miembros del consejo asesor de la SEPLN. Tipos de trabajos Artículos sobre contribuciones originales. Reseñas de tesis doctorales. Instrucciones para los Autores Los trabajos pueden estar escritos en español o en inglés y su longitud máxima será de 10 páginas de contenido más un número ilimitado de páginas de referencias para los artículos científicos, y de un máximo de 4 páginas para los resúmenes de tesis. Las propuestas deben contener los siguientes apartados: El título del artículo (en español e inglés). Un resumen en español y un abstract en inglés de un máximo de 150 palabras. Un listado de temas relacionados o palabras clave (en español e inglés). Los documentos no podrán incluir cabeceras ni pies de página. Como la fase de revisión de los trabajos es ciega, en los artículos que se envíen no se debe incluir ninguna referencia a los autores ni referencias propias que revelen la identidad de los mismos. Todas las contribuciones deben contener únicamente el título, el resumen, las palabras claves y la propuesta. En el caso de los resúmenes de tesis, el anonimato no es necesario. Los trabajos deben seguir el formato de las revistas de la SEPLN disponible en la siguiente dirección: http://www.sepln.org/la-revista/informacion-para-autores Las guías se han actualizado, por favor, utilicen las que están disponibles en la página web de la revista. Nota sobre la versión final La versión final del trabajo (camera ready) debe enviarse con un documento en el que se explique cómo se han implementado las sugerencias de los revisores. Dicho documento se tendrá en cuenta para aceptar o rechazar el trabajo en cuestión. Política de prepublicación La revista permite publicar una versión no revisada de los artículos en plataformas de prepublicación (plataformas de artículos no evaluados como ArXiv). Sin embargo, durante el periodo de revisión se debe indicar que el artículo está “en revisión” en la revista Procesamiento del Lenguaje Natural. Si el artículo es aceptado, se debe actualizar la publicación en la plataforma de prepublicación con el DOI, nombre de la revista y la información bibliográfica del artículo. Fechas importantes Envío EXTENDIDO de trabajos: 5 de Diciembre 2025 Notificación de aceptación/rechazo: 27 de Enero 2026 Versión final: 7 de febrero de 2026 Publicación: Marzo de 2026 Persona de contacto: Aitziber Atutxa (aitziber.atucha(a)ehu.eus) Consejo de redacción de la revista Procesamiento del Lenguaje Natural.

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PhD Position / Research Associate on Applied Computational Linguistics, University of Augsburg, Germany
by Christian Chiarcos 26 Nov '25

26 Nov '25

Dear all, the Applied Computational Linguistics (ACoLi) lab at the University of Augsburg, Germany, is offering a faculty position (Wissenschaftlicher Mitarbeiter TV-L E13, part-time) for an initial period of 3 years to a candidate with keen interest in both linguistic and technological aspects of Computational Linguistics or Digital Humanities. The successful candidate will contribute to research and teaching activities within the group and in the wider context of the University of Augsburg. They are encouraged to participate in grant proposals, research collaborations and scientific networks of the group, and to develop their independent academic profile in this process. We welcome candidates with research interests in one or more of the following areas: - natural language understanding - graph technologies and web standards in NLP (e.g., in the context of Linguistic Linked Open Data) - computational discourse - NLP for low-resource or historical languages Please apply before Dec 15, 2025, with a letter of motivation and the usual documents via email to sekretariat.computerlinguistik(a)philhist.uni-augsburg.de <mailto:sekretariat.computerlinguistik@philhist.uni-augsburg.de>. For details, please consult the full English description under https://www.uni-augsburg.de/en/fakultaet/philhist/professuren/Applied-Compu… <https://www.uni-augsburg.de/en/fakultaet/philhist/professuren/Applied-Compu…>. For further questions, please feel free to contact christian.chiarcos(a)uni-a.de. The position is hosted at the chair for Applied Computational Linguistics (ACoLi) at the University of Augsburg, Germany, Munich Metropolitan region. The ACoLi Lab focuses on the intersection of NLP and knowledge graph technology, and applications of these technologies in the Digital Humanities, and the candidate is expected to pursue a PhD thesis in these areas. Please note that this is an on-site position that includes the duty to teach 2.5 hours per week in local programmes on Computational Linguistics, NLP and/or Digital Humanities. Please feel free to forward this call for applications to interested candidates. Best regards, and apologies for cross-posting, Christian Chiarcos -- Prof. Dr. Christian Chiarcos Chair for Applied Computational Linguistics (ACoLi) University of Augsburg, Germany

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Project Officer - Researcher in Artificial Intelligence and Media Monitoring at the European Commission (Joint Research Center)
by CARTIER Emmanuel 26 Nov '25

26 Nov '25

Dear colleagues, We are pleased to announce an opportunity to join the Joint Research Centre (JRC) of the European Commission as a Researcher in Artificial Intelligence and Media Monitoring. This role involves leading innovations in global media analysis using advanced AI technologies, including large language models and multilingual NLP research. The work notably includes: * Research and Development: conduct research on the latest AI technologies applicable to media monitoring; write peer-reviewed publications and technical reports. Data Analysis: monitor and analyse media trends, extracting meaningful insights from diverse media sources; utilise machine learning and natural language processing techniques to identify emerging topics, events, narratives, and sentiment. * Collaboration and Communication: collaborate with cross-functional teams to integrate AI solutions into existing media monitoring platforms; present research findings and insights to stakeholders, provide and present actionable recommendations to policymakers where relevant. * Innovation and Improvement: continuously improve AI models and algorithms to enhance accuracy and efficiency in media monitoring; keep-up with the latest academic and industry trends and advancements in AI to ensure our methodologies remain cutting-edge. * Documentation and Reporting: document research processes, methodologies, and findings in a clear and detailed manner; prepare reports and presentations summarizing analytical results and their implications. If you have a PhD in Computer Science / Artificial Intelligence or a related field, and experience in AI and machine learning, we encourage you to apply. Proficiency in programming, excellent analytical skills, and very good knowledge of English are essential. For more details and to apply, please please visit the JRC Recruitment Portal : https://recruitment.jrc.ec.europa.eu/vacancy/2368. Feel free to share this opportunity with your network. Best regards, ____________________________________________ Emmanuel Cartier [1756718039991] Scientific Project Officer in Computational Linguistics / Applied Research Joint Research Center of the European Commission Text and Data Mining unit (T5) Europe Media Monitor (EMM) team emmanuel.cartier(a)ec.europa.eu<mailto:emmanuel.cartier@ec.europa.eu>

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CLARIN ERIC Newsflash: November 2025
by Gorgaini, E. (Elisa) 26 Nov '25

26 Nov '25

Dear colleagues, The November edition of the CLARIN Newsflash is out. Highlights include: * Key insights from the CLARIN Annual Conference 2025 by PC Chair Cristina Grisot, * Direct links to the conference materials and the newly released Introduction to CLARIN tutorial * An inspiring impact story on enhancing theatre accessibility through 3D sign language * New Tour de CLARIN blogs showcasing the Spanish consortium And don’t forget to mark your calendar—the next CLARIN Café is just around the corner on 9 December. It will focus on concrete use cases with multimodal data, large language models and multilingual comparative discourse analysis, explaining the role of the CLARIN Knowledge Centres in these research areas. Read more and register here<https://www.clarin.eu/event/2025/clarin-cafe-ssh-research-clarin-k-centres-…>. Read the newsletter: https://www.clarin.eu/content/clarin-newsflash-november-2025 Subscribe to the newsletter here<http://eepurl.com/bOt3Qn>. Kind regards, CLARIN ERIC --- Elisa Gorgaini Communication Officer - CLARIN ERIC Utrecht University | Drift 10, 3512 BS Utrecht, The Netherlands e.gorgaini(a)uu.nl<mailto:e.gorgaini@uu.nl> | elisa(a)clarin.eu<mailto:elisa@clarin.eu> www.clarin.eu<https://www.clarin.eu>

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UMass Amherst: Assistant/Associate Professor, Natural Language Processing (NLP)
by Brendan O'Connor 26 Nov '25

26 Nov '25

Here at UMass Amherst, we're excited to invite applications for tenure-track faculty in Natural Language Processing (NLP) and similar areas, in the College of Information and Computer Sciences. For more details, and to apply, please see: https://careers.umass.edu/amherst/en-us/job/528970/assistantassociate-profe… and/or https://www.cics.umass.edu/about/employment/faculty-positions We're happy to answer any questions - feel free to ask myself or search committee co-chairs Hamed Zamani (zamani(a)cs.umass.edu) or Andrew McCallum ( mccallum(a)cs.umass.edu). -- Brendan O'Connor (http://brenocon.com) College of Information and Computer Sciences University of Massachusetts Amherst

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IPAI Science Residency – AI Commercialization Fellowship (Heilbronn, Germany)
by Alexander Fraser 25 Nov '25

25 Nov '25

IPAI Science Residency – AI Commercialization Fellowship (Heilbronn, Germany) Application Deadline: January 4, 2026 The IPAI Science Residency invites applications for a 1-year Applied AI Fellowship designed for individuals who are ready to turn cutting-edge AI research into real-world impact. IPAI is seeking two kinds of people who want to explore and commercialize innovative ideas in a highly entrepreneurial environment: 1) recent PhD graduates in AI-related fields 2) people with at least three years of experience in AI (but no PhD) What the Fellowship Offers: 1 year of full funding for your position Up to €200,000 in research budget — including compute or other project-critical resources A unique commercialization focus: develop ideas with real market potential The opportunity to integrate into one of IPAI’s many partner companies—or to launch your own venture Personalized coaching and mentorship to accelerate both your research and commercialization strategy Why IPAI? Based in Heilbronn, Germany, IPAI is an emerging hub for applied AI innovation. Fellows join an interdisciplinary community of researchers, startups, and established companies working together to bring AI breakthroughs into practice. Apply Now: The deadline is approaching quickly: January 4, 2026. Submit your application and learn more here: https://ipai-foundation.ai/en/science-residency/ Please feel free to share this opportunity within your networks.

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2026

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2024

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Corpora November 2025