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Call for Applicants in Natural Language Processing & Computational Linguistics - University of A Coruñahttps://euraxess.ec.europa.eu/jobs/hosting/msca-pf-2026-call-applicants-natural-language-processing-computational-linguisticshttps://portalinvestigacion.udc.gal/investigadores/214918/detalle?lang=enHosting InformationOffer Deadline: Tue, 30 Jun 2026 - 17:00EU Research Framework Programme: Horizon Europe - MSCACountry: SpainDr. David Vilares Calvo is seeking researchers who hold a PhD (with no more than 8 years of full-time equivalent research experience) and are interested in pursuing a research project in the framework of the Marie Curie Postdoctoral Fellowships 2026.Research Group SummaryThe Language and Information Society (LyS) research group is an interdisciplinary unit comprising experts in Computational Linguistics, Computer Science, and Artificial Intelligence; located at Universidade da Coruña (Spain). The group has a distinguished track record of publishing in top-tier NLP venues, including ACL, EMNLP, NAACL, EACL, and COLING, as well as leading specialized journals. Over the past decade, LyS has consistently ranked among the top 25 European institutions in Natural Language Processing, according to CSRankings. Furthermore, the group’s international standing is reflected in its membership in the ELLIS Society, currently counting two members within its ranks.Main lines of researchStructured Prediction and Green AI: Converting complex linguistic structures into efficient sequence-labeling tasks to enable deep analysis at a fraction of the traditional computational cost.LLM Probing: Investigating the divergence between human and LLM generation by analyzing incremental capabilities, internal representations, and training dynamics to decode how and when models acquire a given capability.Computational Sociolinguistics: Analyzing how language variation across cultures and digital platforms reflects social identity and influence, applied across a diverse range of computational problems.Biomedical NLP: Developing robust datasets and models for healthcare-related reasoning, with a focus on benchmarking how generative models handle the linguistic and conceptual complexity of the medical domain.Facilities, equipment & support from the group membersAs part of the University of A Coruña (UDC), the group has access to the Galicia Supercomputing Center (CESGA), which provides extensive CPU/GPU clusters and large-scale storage to support high-performance computing requirements. Locally, the project is integrated into the Research Center on Information and Communication Technologies (CITIC), a recognized center of excellence offering specialized facilities, including a shared cluster with 16 NVIDIA A100 GPUs. These regional and institutional resources are complemented by the LyS research group’s private infrastructure.The LyS group is an interdisciplinary research unit with a core NLP team currently composed of four professors, one postdoctoral researcher, and four Ph.D. students. The group maintains dedicated workspaces at both the CITIC research center and the Faculty of Computer Science.Potential research topicThe LyS group welcomes proposals that align with our core research interests, as well as other areas within Natural Language Processing. We are particularly interested in candidates who can demonstrate clear synergy between their own expertise and the group's ongoing research lines, in accordance with the primary objectives of the MSCA fellowships.RequirementsThe ideal candidate will hold a Ph.D. in Natural Language Processing and have a track record of publishing at top-tier venues, such as *ACL conferences or journals like Computational Linguistics, TACL, Language Resources and Evaluation, and Natural Language Engineering.We are looking for someone who can demonstrate significant research autonomy across the entire project lifecycle. This includes the ability to refine research objectives, build computational solutions, and conduct methodologically rigorous evaluations. Additionally, candidates should possess strong academic writing skills to lead the preparation and submission of high-quality manuscripts to leading venues in the field.Expressions of InterestInterested candidates should contact Dr. David Vilares Calvo (david.vilares@udc.es) as soon as possible. Emails should include a CV and a brief motivation letter.

The 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026)Conference Theme: "AI-Driven Innovations for a Sustainable Future"https://mlmi.netSubmission Deadline: February 5, 2026Notification Deadline: March 5, 2026Registration Deadline: March 20, 2026 We are thrilled to announce that the 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026) will be held in Tokyo, Japan, from July 17 to 20, 2026. Organized by Rikkyo University, Japan, MLMI 2026 will bring together leading researchers, academics, and industry professionals to explore the latest advancements in machine learning and machine intelligence. The conference will feature insightful presentations, engaging discussions, and vibrant networking opportunities, all set in the culturally rich city of Tokyo. MLMI 2026 aims to advance the field of machine learning and machine intelligence by fostering interdisciplinary collaboration and showcasing cutting-edge research. The scope of MLMI 2026 includes, but is not limited to, deep learning, reinforcement learning, natural language processing, computer vision, robotics, AI ethics, and the integration of machine intelligence in domains such as healthcare, finance, autonomous systems, and environmental sustainability. By providing a platform for knowledge exchange and collaboration, MLMI 2026 seeks to drive innovation and inspire the development of intelligent systems that benefit society.MLMI 2026 offers a unique opportunity to engage with the latest research, connect with global experts, and contribute to the future of machine intelligence. We invite you to join us for four days of learning and networking. You are guaranteed to leave the event with a suitcase full of knowledge and inspiration.Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published into Lecture Notes in Electrical Engineering (Electronic ISSN: 1876-1119 & Print ISSN: 1876-1100) as a proceedings book volume. The book series will be indexed by EI Compendex, SCOPUS, INSPEC, SCImago and other database.Topics of interest for submission include, but are not limited to:Track 1: Deep Learning and Neural Architectures Track 2: Reinforcement Learning and Sequential Decision Making▪ Architectural Advances ▪ Advanced Reinforcement Learning Algorithms▪ Efficient Training Techniques ▪ Multi-Agent Reinforcement Learning▪ Graph Neural Networks ▪ Time Series and Sequential Data▪ Generative Models ▪ Predictive Modeling▪ Neural Architecture Search ▪ Anomaly Detection▪ Transfer Learning ▪ Sequential Decision Making ▪ Real-Time AI Systems Track 3: Applied Machine Intelligence Track 4: Natural Language Processing and Multimodal Learning▪ Machine Learning in Healthcare ▪ Large Language Models▪ AI in Robotics ▪ Multilingual and Low-Resource NLP▪ AI for Cybersecurity ▪ Multimodal Machine Learning▪ Biometric and Behavioral Analytics ▪ Cross-Modal Retrieval and Generation▪ Industry-Specific Applications Track 5: Emerging Paradigms and Future Directions Track 6: Explainable, Ethical, and Human-Centered AI▪ Quantum Machine Learning ▪ Explainable AI (XAI)▪ Federated and Distributed Learning ▪ Ethical AI and Fairness▪ AutoML and Meta-Learning ▪ Privacy-Preserving Machine Learning▪ Sustainable and Green AI ▪ Human-Centered AI▪ Hybrid Models ▪ Augmented Intelligence