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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.

41st Conference on Uncertainty in Artificial IntelligenceRio de Janeiro, BrazilJuly 21-25, 2025Link: https://www.auai.org/uai2025/The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI).Important DatesNameDatePaper submission deadline (incl. supp. material)February 10th, 2025 (23:59 Anywhere on Earth, AoE)Author response/discussion periodApril 3rd - April 10th, 2025 (23:59 AoE)Author notificationMay 6th, 2025 (23:59 AoE)Camera-ready deadlineJune 6th, 2025 (23:59 AoE) Subject AreasBelow you find a non-exhaustive list of relevant topics for your reference.AlgorithmsApproximate InferenceBayesian MethodsBelief PropagationExact InferenceKernel MethodsMissing Data HandlingMonte Carlo MethodsOptimization - CombinatorialOptimization - ConvexOptimization - DiscreteOptimization - Non-ConvexProbabilistic ProgrammingRandomized AlgorithmsSpectral MethodsVariational MethodsApplicationsCognitive ScienceComputational BiologyComputer VisionCrowdsourcingEarth System ScienceEducationForensic ScienceHealthcareNatural Language ProcessingNeurosciencePlanning and ControlPrivacy and SecurityRoboticsSocial GoodSustainability and Climate ScienceText and Web DataLearningActive LearningAdversarial LearningCausal LearningClassificationClusteringCompressed Sensing and Dictionary LearningDeep LearningDensity EstimationDimensionality ReductionEnsemble LearningFeature SelectionHashing and EncodingMultitask and Transfer LearningOnline and Anytime LearningPolicy Optimization and Policy LearningRankingReinforcement Learning and BanditsRelational LearningRepresentation LearningSemi-Supervised LearningStructure LearningStructured PredictionUnsupervised LearningModelsFoundation ModelsGenerative ModelsGraphical ModelsModels for Relational DataNeural NetworksProbabilistic CircuitsRegression ModelsSpatial, Temporal and Spatio-Temporal ModelsTopic Models and Latent Variable ModelsPrinciplesCausalityComputational and Statistical Trade-OffsExplainabilityFairnessPrivacyReliabilityRobustness(Structured) SparsityRepresentationConstraintsDempster-Shafer(Description) LogicsImprecise ProbabilitiesInfluence DiagramsKnowledge Representation LanguagesTheoryComputational ComplexityControl TheoryDecision TheoryGame TheoryInformation TheoryLearning TheoryProbability TheoryStatistical Theory