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CFP: Promoting machine translation and GenAI translation literacy: an approach towards professional translation and interpreting labour market
by Amal Haddad 02 Apr '26

02 Apr '26

Promoting machine translation and GenAI translation literacy: an approach towards professional translation and interpreting labour market University of Granada, Spain 2-3 June 2026 Call for papers The labour market associated with most careers has evolved rapidly in the recent years, requiring a workforce with extensive digital skills. The same applies to the current landscape of the translation profession, which is also being reshaped by the forces of Artificial Intelligence (AI), digitisation and the applications of Natural Language Processing (NLP). Furthermore, recently, the most frequent discussion among academics and industry revolves around the danger of AI encroaching on the profession of translators, terminologists and interpreters, putting their job positions at risk, or even causing the eventual disappearance of translation careers. Some universities warn of the risk of terminating translation career paths due to the sharp decline in the number of students or the demise of translation careers as an independent field of study. Additionally, the hypothesis that technology is more efficient than humans in performing translation and interpreting tasks is becoming a threat itself, leading to a sharp decline in the number of students enrolled in translation and foreign languages careers worldwide. In most universities, this panorama is the case in most translation careers, and Spanish universities are no exception. One of the solutions to this problem is machine translation literacy, GenAI literacy and reducing the gap between technological developments and the technological competencies of translation and interpreting teachers. This event aims at offering solutions and training translation and interpreting teachers in this direction, in a way that they know how to follow the pace of technology and acquire basic technological notions, so that they keep up with the high quality teaching, required to keep a good ranking for their universities, provide excellent teaching to their students, and be part of the solution to protect translation careers from a humanistic point of view. Rationale and objectives The current landscape of translation education faces a critical juncture. While the profession is being reshaped by Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies, the velocity of technological advancement has outpaced the capacity of educators to integrate these tools effectively into their teaching. This gap manifests in three interconnected problems. First: Digital literacy deficit Research on university students' perceptions of GenAI-assisted translation reveals concerns about declining translation creativity, independent thinking, and a notable deficiency in digital literacy among both educators and learners. Many translation educators lack training in how these tools function, their limitations, and appropriate pedagogical approaches for teaching with them. The European Association for Machine Translation's 2024 Translation Education Week emphasized that transversal skills, particularly AI literacy, data quality assessment, and communication abilities, are now more crucial than ever in translator education. Second: Disconnection between academic training and labour market realities While general content translation is increasingly automated, specialized domains requiring nuanced language skills, cultural adaptation, and subject-matter expertise remain essential human territories. The translation industry has transitioned to a hybrid model where Machine Translation Post-Editing (MTPE) offers 30-50% cost reductions while maintaining accuracy, yet many graduates lack training in these workflows. Studies demonstrate that solid grammatical proficiency combined with MT literacy produces significantly higher quality translations than either factor alone, highlighting the need for integrated training approaches. Third: Insufficient understanding of quality distinctions and ethical responsibilities The widespread adoption of tools like Google Translate and DeepL by professionals and students often occurs with relatively little reflection, leading to potential risks in high-stakes contexts such as legal documents, medical translations, or patient forms where errors can have severe consequences. Educators must develop "MT literacy consultant" capabilities, the ability to assess when and how MT can be appropriately deployed, and to advise others on its responsible use. Objectives This event addresses these challenges through three core objectives: * Bridging the Technological Gap We will provide practical training in basic MT and GenAI literacies, equipping educators with foundational understanding of how neural machine translation, large language models, and generative AI tools function. This includes hands-on experience with current technologies, understanding their capabilities and limitations, and learning pedagogical strategies for integrating them into curricula. * Aligning Education with Labour Market Demands We will present current industry trends and expectations, helping educators understand the evolution from traditional translation to AI-augmented workflows. This includes exploring post-editing skills, quality assessment frameworks, and specialized domain knowledge that differentiate human expertise from automated output. By understanding what employers seek, professionals who can work effectively alongside AI while maintaining quality standards, educators can better prepare graduates for meaningful careers. * Promoting Ethical and Quality-Conscious Practice We will emphasize the critical importance of understanding translation quality gradations and the responsibilities associated with different contexts. This includes teaching students to assess risk levels (high-stakes vs. low-stakes scenarios), recognize when human expertise is non-negotiable, and communicate the value of professional translation to clients and the public. We will also address environmental and social implications of translation choices, fostering responsible professional citizenship. Added Value The added value of this event lies in its practical, forward-looking approach. Rather than resisting technological change or uncritically embracing it, we advocate for informed integration, recognizing AI as a powerful tool that augments rather than replaces human expertise. By equipping educators with confidence and competence in these areas, we strengthen the entire educational ecosystem: better-prepared teachers lead to better-trained students, who in turn become the skilled professionals needed in today's translation market. Furthermore, this initiative contributes to the broader mission of protecting and promoting translation studies as a vital humanistic discipline. By demonstrating how translation professionals can thrive in an AI-enhanced landscape, we empower educators to attract and retain students with realistic, compelling visions of rewarding careers. We welcome any contributions related to this timely topic. Presentation format: Talk (20 mins), non-archival. Selection for places will be made by the conference scientific committee (blind peer review). SUBMIT AN ABSTRACT https://docs.google.com/forms/d/1xrgG09Xnu95cAPQlXTLrSGDste08qKhETQ8vLYN-gY… Important dates: Deadline for Abstracts: 14 April 2026 Notification of Outcome: 30 April 2026 Conference award: Conference award granted by AIETI, the Iberian Association for Translation and Interpreting Studies. No registration fees required but registration is mandatory Registration form: https://docs.google.com/forms/d/e/1FAIpQLSed_1KAdpoho8Ay9m9-DPPhnAdg3Sl0yzW… [1] -- Amal Haddad Haddad (She/her) Facultad de Traducción e Interpretación Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad Lexicon Research Group |http://lexicon.ugr.es/haddad Co-Convenor, BAAL SIG 'Humans, Machines, Language'|https://r.jyu.fi/humala Event Coordinator, BAAL SIG 'Language, Learning and Teaching' =============== Cláusula de Confidencialidad: "Este mensaje se dirige exclusivamente a su destinatario y puede contener información privilegiada o confidencial. Si no es Ud. el destinatario indicado, queda notificado de que la utilización, divulgación o copia sin autorización está prohibida en virtud de la legislación vigente. Si ha recibido este mensaje por error, se ruega lo comunique inmediatamente por esta misma vía y proceda a su destrucción. This message is intended exclusively for its addressee and may contain information that is CONFIDENTIAL and protected by professional privilege. If you are not the intended recipient you are hereby notified that any dissemination, copy or disclosure of this communication is strictly prohibited by law. If this message has been received in error, please immediately notify us via e-mail and delete it" =============== Links: ------ [1] https://docs.google.com/forms/d/e/1FAIpQLSed_1KAdpoho8Ay9m9-DPPhnAdg3Sl0yzW…

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Open PhD position on cognitively-inspired language modeling in Göttingen
by Beinborn, Lisa 02 Apr '26

02 Apr '26

Dear fellow NLPers, we are looking for a PhD candidate to join our Human-Centered Data Science group at the University of Göttingen, Germany. We take a human-centered perspective on natural language processing research and focus on cognitively inspired representation learning, multilingual NLP, and interpretability methods. The KIND-LM project is a collaboration between Lisa Beinborn and Nivedita Mani, who leads the Psychology of Language group. It advances research on cognitively-inspired sample-efficient modelling and contributes to the Priority Programme LaSTing (“Robust Assessment & Safe Applicability of Language Modelling: Foundations for a New Field of Language Science & Technology”). If you’d like to join our group and conduct research at the intersection of computational modeling and psycholinguistics, please read the details of the job posting. The application deadline is April 15th. If the timing isn’t right for you (but everything else is), feel free to reach out anyway. Job Posting: https://huds.uni-goettingen.de/assets/Call_Kindlm.pdf HuDS group: https://huds.uni-goettingen.de/ LaSTing Programme: https://www.lasting-spp.org/ We are looking forward to your application. Best regards, Lisa Beinborn ------------------------------------------------- Prof. Dr. Lisa Beinborn Human-Centered Data Science https://huds.uni-goettingen.de/ Institute for Computer Science University of Göttingen -------------------------------------------------

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[IEEE FG2026] Last reminder CFP: 1st Workshop on Behavioral and Emotion Analysis through wearable Technology
by Arianna De Vecchi 01 Apr '26

01 Apr '26

Wearable movement and physiology sensors offer lightweight, non-invasive, and ecologically valid means to monitor human activity, affective state, and social behavior. With the rise of commercially deployed devices and new wearable foundation models, opportunities for scalable human behavior analysis continue to grow. However, challenges such as personalized modeling, on-device integration, or multimodal fusion prevail, limiting in-the-wild deployment of wearable devices. The 1st Workshop on Behavioral and Emotion Analysis through wearable Technology (BEAT) aims to foster collaboration between researchers from various backgrounds (ML, HCI, biomedical engineering) around the topic of wearable devices for human behavioral analysis. The workshop will be held in Kyoto as part of the 20th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2026), taking place on May 25, 2026. Topics of interest include, but are not limited to: * Machine Learning and computational models for movement and physiological wearables * Resource efficient and lightweight models * Multimodal fusion and synchronization strategies * Methods for irregularly sampled or missing data * Individual differences, personalization, and context-awareness * Ethical and privacy-preserving AI in wearable systems * Novel wearables and applications * Experimental methods for validation of wearable systems * Lab-controlled experiments and In-the-wild deployment * Datasets and Benchmarks * Responsible data management and user consent * Applications in Affective Computing / Mobile Health / Action Recognition / Social Interaction / HRI Submission Details: (1) Main Track (Original Research): 4 up to 8-pages work (2) Non-Archival Track (Published Work): 1-page summary Important Dates: Main track: * Paper registration deadline: April 3, 2026 * Paper submission deadline: April 3, 2026 * Notification to authors: April 15, 2026 * Camera-ready paper deadline: April 20, 2026 Non-archival track: * Summary submission deadline: April 3, 2026 * Notification to authors: April 15, 2026 For more details, please visit our website: https://beat-workshop.github.io/ For further questions, contact us via beat-workshop(a)googlegroups.com<mailto:beat-workshop@googlegroups.com> General Chairs: Louis Simon, Arianna de Vecchi, Cristina Palmero, Felix Dollack, Ting Dang, Mohamed Chetouani (modificato) beat-workshop.github.io Behavior and Emotion Analysis through wearable Technology (BEAT)<https://beat-workshop.github.io/> Workshop at IEEE International Conference on Automatic Face and Gesture Recognition 2026, Kyoto, Japan

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CFP: 5th Cardiff NLP Workshop (22-23 June 2026, Cardiff, Wales, UK)
by Nedjma Ousidhoum 01 Apr '26

01 Apr '26

Dear all, We are organising the 5th Cardiff NLP Summer Workshop, which will take place on 22–23 June 2026 in the Abacws Building in Cardiff (Wales, UK). The workshop is especially aimed for PhD students and early-career researchers (and anyone interested in NLP). Registration is free for all participants. Please fill in the expression of interest form<https://forms.gle/ypUBEpVhfoUhSgY16> by 11 April if you are interested in joining the workshop. Workshop activities include: * Invited speakers from academia and industry. * Tutorials. * Poster session and networking. * Panel discussion. Important dates: * Application period: 28 January – 11 April 2026. * Notification of acceptance: Late April 2026. * Workshop: 22–23 June 2026, Cardiff. For more details, please visit the workshop website: https://www.cardiffnlpworkshop.org/. Best regards, The Cardiff NLP Organising Team.

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WoLaLa 2026: First call for papers
by Héja Enikő 01 Apr '26

01 Apr '26

1st Call for Papers 2nd International Workshop on Language and Language Models (WoLaLa) Dubrovnik, Croatia | October 12-13 The ELTE Research Centre for Linguistics, the University of Zagreb, Faculty of Humanities and Social Sciences, and the Croatian Language Technologies Society invite submissions to the 2nd International Workshop on Language and Language Models. This workshop is designed as a dedicated forum for scholars and practitioners in the social sciences and humanities (SSH) to discuss and evaluate large language models from an SSH perspective, and to share best practices that can advance research and applications within these fields. Relevant topics include, but are not limited to, the following areas: General language models: Critical and comparative analyses of state-of-the-art language models, including their linguistic competence, performance, and limitations. Cultural and linguistic perspectives: Investigations into the cultural, cognitive, and scientific aspects of language processing, including the unexplored territories of model behavior and linguistic capability. Applications and best practices: Case studies and best practices in applying AI to language research, highlighting the potential for cross-disciplinary innovation within SSH. Bridging disciplines: Contributions that examine the role of language models in reshaping traditional SSH methodologies, and proposals on integrating AI insights into linguistic inquiry. IMPORTANT DATES 20 May 2026: Submission deadline 08 August 2026: Notification of acceptance 12 October – 13 October 2026: Workshop in Dubrovnik 15 December 2026: Full paper submission deadline Submissions We expect submissions in the form of extended abstracts (length: 3 to 4 pages including references) in PDF format, in accordance with the template (https://www.overleaf.com/read/sbmczvkpxpzz#4a94e3). Please ensure your submission clearly outlines your research question, methodology, and preliminary findings. Extended abstracts must be submitted through the EasyChair submission system <https://easychair.org/conferences/?conf=wolala2026> and will be reviewed by the Programme Committee. All proposals will be reviewed on the basis of the following criteria: Appropriateness: The contribution must pertain to the topics listed above Soundness and correctness: The content must be technically and factually correct; methods must be scientifically sound, according to best practice, and preferably evaluated. Meaningful comparison: The abstract must indicate that the author is aware of alternative approaches, if any, and highlight relevant differences. Substance: Concrete work and experiences will be given preference over ideas and plans. Impact: Contributions with a higher impact on the research community and society more broadly will be given preference over papers with lower impact. Clarity: The abstract should be clearly written and well structured. Timeliness and novelty: The work must convey relevant new knowledge to the audience at this event. Programme Committee The Programme Committee for the conference consists of the following members: Marko Tadić, University of Zagreb, Croatia (chair) António Branco, University of Lisbon, Portugal Eva Hajičová, Charles University Prague, Czech Republic Erhard Hinrichs, University of Tubingen, Germany András Kornai, HUN-REN Institute for Computer Science and Control, Hungary Alessandro Lenci, University of Pisa Csaba Pléh, Central European University, Austria Gábor Prószéky, ELTE Research Centre for Linguistics & Pázmány Péter Catholic University Paul Rayson, Lancaster University, United Kingdom Frédérique Segond, National Institute for Research in Digital Science and Technology, France Dan Tufiș, Romanian Academy, Romania Hans Uszkoreit, German Research Center for Artificial Intelligence, Germany Tamás Váradi, HUN-REN Hungarian Research Centre for Linguistics, Hungary Martin Wynne, University of Oxford, United Kingdom LINKS 2nd International Workshop on Language and Language Models website: https://wolala.nytud.hu <https://wolala.nytud.hu/> EasyChair submission: https://easychair.org/conferences/?conf=wolala2026 Template for submissions: ZIP-archive: https://wolala.nytud.hu/templates/WoLaLa2026.zip <https://wolala.nytud.hu/templates/WoLaLa2025.zip> Overleaf template: <https://www.overleaf.com/read/xsvjrhvjyfmj#f3362f>https://www.overleaf.com/read/prvhqbxdgmxq#374f7b Contact for any questions regarding the conference: info(a)wolala.nytud.hu

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Associate Professor position at the University of Bergen, Norway
by Samia Touileb 01 Apr '26

01 Apr '26

There is a vacancy for a permanent position as Associate Professor at the Department of Information Science and Media Studies, at the University of Bergen, Norway. The position focuses on intelligent information systems, including areas such as natural language processing, neuro‑symbolic methods, semantic technologies, multimedia processing, and ethical and trustworthy AI. Bergen is a beautiful city surrounded by fjords and mountains, and the position offers generous conditions. Do not hesitate to contact me if you have any questions. More information is available in the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/297764/associate-professor-i… 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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Second Call For Participation: MIRROR@IberLEF2026: Platform online
by Luis Villaseñor-Pineda 01 Apr '26

01 Apr '26

<Apologies for cross-postings> -------------------------------------- SECOND CALL FOR PARTICIPATION -------------------------------------- MIRROR@IberLEF20206: Motivational Interviewing Response & Rating via Synthetic cOnversational tuRns https://mirror-iberlef.vercel.app/ Challenge platform now online: https://www.mirror-iberlef.lat/dashboard Just register, log in, and start making submissions. ------------------------------- ***Task description*** ------------------------------- We invite the community to develop Generative AI (GenAI) methods for creating synthetic conversation turns that can substantially improve the performance of models trained to recognize behavior codes (BCs) in the context of motivational interviews. A BC is a discrete, observable clinician action (e.g., asking a question, giving information) that is counted during coding of a motivational interviewing session to quantify specific techniques used. These codes allow raters to tally how often particular clinician behaviours occur, which helps assess adherence to MI-consistent versus MI-inconsistent practice. Our ultimate goal is to generate valuable data for training models for the automatic assessment of clinicians’ motivational-interviewing skills. These skills — crucial for promoting behavior change among patients — can be evaluated by using the “Motivational Interviewing Treatment Integrity (MITI)” rubric (https://tinyurl.com/38byjrwy). This is a data-centric competition: participants are expected to produce high-quality datasets representing a wide range of clinical conversations (rather than training a model) to enhance the performance of a frozen baseline model used for BC classification. We encourage participants to include samples featuring clients from diverse backgrounds, varied conversation topics, and conversing with different types of health professionals. Participants in this competition should provide three datasets (one per pair of considered BCs) of at most 100 labeled conversation turns that will be used to fine-tune pretrained models; the fine-tuned models will then be used to make predictions for a hold-out dataset. The performance of the fine-tuned model will be used as the leading evaluation metric to rank participants. The considered pairs of BCs are: (1) Simple reflection vs. Complex reflection; (2) Open question vs. Closed question; (3) Persuasion vs. Giving Information. Sample submissions, and detailed instructions on the formatting, evaluation criteria and competition platform will be available at the MIRROR website. ------------------------------- ***Important dates*** ------------------------------- * Mar 9th: Start of the development phase (platform starts receiving submissions for the validation set) * May 1st: Start of the final phase (platform starts receiving submissions for the test set) * May 11th: End of evaluation campaign (deadline for submission of runs) * May 22nd; Publication of official results * Jun 8th: Deadline for paper submission * Jun 23th: Acceptance notification * Jun 30th: Camera-ready submission deadline * Sep, TBD: Publication of proceedings * Sep, TBD: Workshop with SEPLN 2026 ------------------------------- ***Organizing team*** ------------------------------- * Luis J. Arellano INAOE, Mexico * Carlos Olachea INAOE, Mexico * John Piette, University of Michigan, USA * Hugo Jair Escalante, INAOE, Mexico * Delia Irazú Hernández, INAOE, Mexico * Luis Villaseñor, INAOE, Mexico * Manuel Montes, INAOE, Mexico Contact: Hugo Jair Escalante (hugo.jair(a)gmail.com)

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The Paradigm Shift: From Rules to Models in Natural Language Processing
by Amal Haddad 31 Mar '26

31 Mar '26

The Paradigm Shift: From Rules to Models in Natural Language Processing International Summer School Alicante, Spain, 15, 16 and 17 June 2026 https://summer-school.gplsi.es Second Call for Participation Natural Language Processing (NLP) has witnessed a clear paradigm shift: the transition from rule-based approaches to data-driven language models. While rule-based approaches dominated NLP for many years, during the 1990s and early 2000s they gradually gave way to statistical and machine-learning methods. It would be fair to say that data-driven models--and, most prominently, Deep Learning (DL), including more recently Large Language Models (LLMs)--have taken the world by storm. Deep Learning models are now used almost everywhere, across nearly every discipline, and Natural Language Processing is no exception. DL has proved highly promising so far, delivering improvements for almost every NLP task and application. However, as observed on numerous occasions, the outputs of DL models are not always ideal, with some studies reporting cases in which machine-learning approaches do not necessarily outperform the 'old-fashioned' rule-based ones. The overarching theme of the summer school will be this paradigm shift, with lectures and practical sessions reflecting the latest trends at both theoretical and practical levels. More specifically, the programme will combine lectures focusing on theoretical foundations with hands-on practical sessions. Specific topics will include an Introduction to Large Language Models (LLMs), Explainable AI in LLMs, Datasets and bias in LLMs, Building foundational LLMs for low-resource languages, Machine Translation for Low-Resource Languages, LLMs and sentiment analysis, Model and hyperparameter optimisation and Eye-tracking and gaze data for NLP and language models, among others. The summer school will be ideal for both newcomers and experienced professionals in NLP, computer science, data science, cybersecurity, corpus linguistics, language technologies, and related disciplines, offering a unique opportunity to deepen expertise and engage with the rapidly evolving world of LLMs. Panel discussion A panel discussion on the future of NLP methods and LLMs is scheduled as part of the summer school. The panel composition is available here: https://summer-school.gplsi.es/panel/ Venue and dates The summer school will take place at the research institute of Informatics of the University of Alicante and will take place on 15, 16 and 17 June 2026. Keynote speaker Roberto Navigli (Sapienza University of Rome) Lecturers The list of summer school lecturers includes: Tharindu Ranasinghe (Lancaster University) Salima Lamsiyah (University of Luxembourg) Cengiz Acartürk (Jagiellonian University) Hansi Hettiarachchi (Lancaster University) Juan Pablo Consuegra Ayala (University of Alicante) Robiert Sepulveda Torres (University of Alicante) Alicia Picazo Izquierdo (University of Alicante) Isuri Anuradha (Lancaster University) Damith Premasiri (Lancaster University) Ernesto Luis Estevanell (University of Alicante) Maram Alharbi (Lancaster University) Summer school Directors Tharindu Ranasinghe (University of Lancaster) Salima Lamsiyah (University of Luxembourg) Summer School Chair Ruslan Mitkov (University of Alicante) Advisory Committee Manuel Palomar Sanz (University of Alicante) Rafael Muñoz Guillena (University of Alicante) Andrés Montoyo Guijarro (University of Alicante) Organising Committee Raúl García Cerdá (University of Alicante) Alicia Picazo Izquierdo (University of Alicante) Ernesto Luis Estevanell (University of Alicante) Maram Alharbi (Lancaster University) Registration Registration will open in early April 2026. In the meantime, please see the registration fees here: https://summer-school.gplsi.es/registration/ Related events The summer school will follow the second international conference _Natural Language Processing and Artificial Intelligence_ (NLPAICS'2026) which will take place in Alicante on 11 and 12 June 2026 (https://nlpaics2026.gplsi.es). Those who register for both events will benefit from a discounted registration fee. Further information Further information will be provided in subsequent calls. Alternatively, interested parties can email summer-school(a)dlsi.ua.es for more information. -- Amal Haddad Haddad (She/her) Facultad de Traducción e Interpretación Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad Lexicon Research Group |http://lexicon.ugr.es/haddad Co-Convenor, BAAL SIG 'Humans, Machines, Language'|https://r.jyu.fi/humala Event Coordinator, BAAL SIG 'Language, Learning and Teaching' =============== Cláusula de Confidencialidad: "Este mensaje se dirige exclusivamente a su destinatario y puede contener información privilegiada o confidencial. Si no es Ud. el destinatario indicado, queda notificado de que la utilización, divulgación o copia sin autorización está prohibida en virtud de la legislación vigente. Si ha recibido este mensaje por error, se ruega lo comunique inmediatamente por esta misma vía y proceda a su destrucción. This message is intended exclusively for its addressee and may contain information that is CONFIDENTIAL and protected by professional privilege. If you are not the intended recipient you are hereby notified that any dissemination, copy or disclosure of this communication is strictly prohibited by law. If this message has been received in error, please immediately notify us via e-mail and delete it" ===============

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Postdoc-level researcher position in NLP at the University of Oslo
by Erik Velldal 31 Mar '26

31 Mar '26

[Apologies for cross-posting] A 2-year research fellowship in Natural Language Processing (NLP) is available in the Language Technology Group (LTG) at the University of Oslo (UiO), Norway. The position is affiliated with the research project MORALCHANGE<https://www.samfunnsforskning.no/english/projects/aktive/moralchange-eng.ht…>, a cross-disciplinary collaboration between social scientists and NLP researchers exploring how changes in moral values shape political discourse and cultural divides over time. For more information about the position and the research environment, please see the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/298838/researcher-in-natural… Closing date: 5th May 2026 Best regards, -e -- Erik Velldal Language Technology Group Section for Machine Learning Department of Informatics, University of Oslo

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PhD in Ireland (4 years): Agentic RAG for Terminology Translation in Neural Machine Translation
by Antoine Doucet 31 Mar '26

31 Mar '26

Apologies for cross-posting. PhD grant with deadline on 22 April. https://www.setu.ie/research-innovation/researcher-support/current-funding-… https://www.setu.ie/Craft/assets/ctas/PIS_-PhD-Programme-2025_Advert-Sheet_… Cheers, Antoine

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