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Call for Applicants in Natural Language Processing & Computational Linguistics - University of A Coruña

Host

Mar 30, 2026 at 4:42 PM

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 6th International Conference on Software Engineering and Artificial Intelligence (SEAI)

Conference

Mar 3, 2026 at 3:54 PM

The 6th International Conference on Software Engineering and Artificial Intelligence (SEAI)June 19-21, 2026Fuzhou, ChinaPublication & IndexingAfter a careful reviewing process, all accepted and presented papers after proper registration and presentation, will be published into Conference Proceedings by IEEE, included into IEEE Xplore, and submitted for Ei Compendex and Scopus, like last few year. <IEEE CONFERENCE LIST>SEAI 2025丨ISBN: 979-8-3315-1361-0 丨IEEE Xplore丨Ei Compendex丨ScopusCall for PapersGeneral InformationThe conference is soliciting papers in fields of Artificial Intelligence, Software Engineering, and Computer related fields.The purpose of the Conference is to provide a common forum for researchers, scientists, and students from all over the world to present their latest research findings, ideas, developments and applications in the broader areas of Artificial Intelligence, and Software Engineering. Prospective authors are invited to submit research papers in the following areas, but not limited to:Artificial Intelligence & ApplicationsAI AlgorithmsKnowledge-based SystemsArtificial Intelligence tools & ApplicationsMechatronicsAutomatic ControlMultimedia & Cognitive InformaticsBioinformaticsNeural NetworksNatural Language ProcessingParallel ProcessingCAD Design & TestingPattern RecognitionComputer Vision and Speech UnderstandingPervasive computing and ambient intelligenceData Mining and Machine Learning ToolsProgramming LanguagesFuzzy LogicReasoning and EvolutionHeuristic and AI Planning Strategies and ToolsRecent Trends and DevelopmentsComputational Theories of LearningRoboticsHybrid Intelligent SystemsSemantic Web Techniques and TechnologiesInformation RetrievalSoft computing theory and applicationsIntelligent System ArchitecturesSoftware & Hardware ArchitecturesKnowledge RepresentationKnowledge-Based SystemIndustrial applications of AIVisualizationDeep LearningWeb Intelligence Applications & SearchSoftware Engineering Techniques and Production PerspectivesRequirements engineering Software analysis, design and modelingSoftware maintenance and evolutionSoftware engineering tools and environmentsSoftware engineering decision supportSoftware design patternsSoftware product lines Process and workflow managementReflection and metadata approachesProgram understanding and system maintenanceSoftware domain modeling and analysisSoftware economicsMultimedia and hypermedia software engineeringSoftware engineering case study and experience reportsEnterprise software, middleware, and toolsService-centric software engineeringService oriented requirements engineeringService oriented architectures Software Engineering MethodologiesAgent-based software engineeringArtificial intelligence approaches to software engineering Component-based software engineeringEmbedded and ubiquitous software engineeringAspect-based software engineeringEmpirical software engineeringSearch-Based Software engineeringAutomated software design and synthesisAutomated software specificationComputer-supported cooperative workAutomated software specificationAutomated software design and synthesisReverse engineeringSoftware & System Quality of ServiceSoft computingSoftware and system testing methodsQuality assurance process, standards, and systemsSoftware safety systemsSoftware test automation and toolsSoftware dependability, reliability, scalabilitySoftware & System SecuritySoftware and system security and privacyMobile app security and privacyEncryption methods and toolsSecurity service systemsCloud, sensor cloud and mobile cloud securityMobile system integrity, security, and fault tolerance

Conference: The 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026)

General NEWS

Jan 17, 2026 at 10:57 AM

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

Conference: 2026 the 8th International Conference on Computer Science and Technologies in Education (CSTE)

General NEWS

Nov 29, 2025 at 10:57 PM

2026 the 8th International Conference on Computer Science and Technologies in Education (CSTE)Wuhan, China | April 17-19, 2026Link: https://cste.net/index.htmlSubmission Deadline: December 30, 2025Notification Deadline: January 30, 2026Registration Deadline: February 15, 2026Conference Venue: Central China Normal University (Nanhu Campus), Wuhan, Hubei, China2026 the 8th International Conference on Computer Science and Technologies in Education (CSTE) will be held in Wuhan, China during April 17-19, 2026. CSTE 2026 is co-sponsored by Central China Normal University, China and IEEE, hosted by Faculty of Artificial Intelligence in Education, Central China Normal University, China.At CSTE 2026, participants will have the opportunity to engage with leading experts in education technology, and to gain insights into the latest research and best practices in the field. The conference will also provide a platform for networking and collaboration, enabling participants to build valuable connections with colleagues from around the world.Please visit our website for more information on the conference, including important dates, submission guidelines, and registration details. If you have any questions or concerns, please do not hesitate to contact us. We hope to see you in Wuhan in 2026!Submitted papers will be peer reviewed by program committees and technical committee, and accepted papers will be published into conference proceedings by IEEE after registration and presentation. The proceedings will be submitted for inclusion into IEEE Xplore and indexed by Ei Compendex & Scopus.Selected papers will be published into Lecture Notes in Educational Technology(Electronic ISSN: 2196-4971 & Print ISSN: 2196-4963) as a proceedings book volume, which has been accepted by Springer. Final publication will be subject to the manuscript review by Springer. Those papers will be sent to indexing databases like: Scopus, ACM Digital Library, ERIC, INSPEC, Norwegian Register for Scientific Journals and Series, SCImago. Call for PapersTrack 1: Educational Technologies and Systems▪ E-learning platforms and tools▪ Computer-supported collaborative learning▪ Mobile and ubiquitous learning▪ Gamification and game-based learning▪ Virtual and augmented reality in education▪ Adaptive learning systems▪ Educational robotics and automation▪ Emerging technologies in education▪ Cloud computing in education▪ Immersive learning environments▪ Wearable technology in educationTrack 2: Computer-supported Collaborative Learning and Social Computing▪ Collaborative learning theories and models▪ Social computing and learning▪ Online communities and networks in education▪ Social media in education▪ Collaborative technologies in education▪ Computer-supported argumentation and debateTrack 3: Artificial Intelligence in Education▪ Intelligent tutoring systems▪ Natural language processing in education▪ Knowledge representation and reasoning in education▪ Intelligent educational systems and applications▪ Smart learning environments▪ Cognitive modelling and educational implicationsTrack 4: STEM Education and Computational Thinking▪ STEM education and pedagogy▪ Computational thinking and coding education▪ Robotics and automation in STEM education▪ Computational modeling and simulation in education▪ Educational applications of Internet of Things▪ Digital fabrication and maker educationTrack 5: Educational Data Mining and Learning Analytics▪ Data-driven approaches to education▪ Learning analytics and visualization▪ Educational data mining and machine learning▪ Big data in education▪ Personalized learning▪ Educational decision making▪ Assessment and evaluation in e-learningTrack 6: Digital Technologies for Human Development▪ Digital technologies for social-emotional learning▪ Digital technologies for psychological wellbeing▪ Digital technologies for self-management and regulation▪ Digital technologies for teacher development▪ Digital technologies for labor/moral/character education▪ Sustainable development in a digital world▪ Innovative solutions to address educational inequityTrack 7: Inclusive EdTech: Diversity, Equity, and Innovative Pedagogies▪ AI-enhanced pedagogy for diverse learners▪ Learning analytics-driven differentiation▪ Accessible immersive learning pedagogies▪ Culturally responsive edtech solutions▪ Equity-focused digital assessments▪ Micro-credentialing for diverse learners▪ Smart pedagogy training for educators▪ Multilingual learning support in EdTech▪ Inclusive gamification frameworks▪ Student-centered digital pedagogy▪ AI-augmented project-based learning▪ Hybrid flipped classroom models▪ UDL-based digital resource design

Lab Location: Hub of Talents in AI and Innovation Next

General NEWS

Oct 4, 2025 at 12:55 AM

AI-NEXTHub of Talents in AI and Innovation Nexthttps://www.ai-next.or.thadmin@ai-next.or.thCore Mission of the Center In a world where skills must keep pace with the changes of the digital labor market, we bring together a network of AI and technology experts to create a continuous, comprehensive, and accessible learning ecosystem.Because we believe that AI is not here to replace people, but to serve as a tool that enhances human potential and opens up opportunities for everyone to grow alongside the new era.Thailand's AI expert network showcases a wide range of specialized fields across sectors. Key areas of expertise include:Artificial Intelligence in Natural Language Processing (NLP)AI in Healthcare and Medical TechnologyGeographic Information Systems (GIS) & MobilityBig Data AnalyticsImage Processing & Computer VisionUrban Computing, UAV (Drones), and Remote SensingAI in Agriculture and Agricultural RoboticsAI for Automotive and Intelligent Transportation SystemsDigital Engineering & Computing SciencesMathematical Modeling & Applied Computing Our Strategic Goals1. Develop AI Curriculum and Human CapitalWe design and deliver AI-related training in collaboration with schools and universities to equip people with digital skills tailored to the Thai context and global demands.2. Drive AI Research and InnovationWe support strategic alignment and integration of national priorities to advance urgent and impactful research across diverse regions and sectors.3. Apply AI in IndustryWe initiate projects that enhance operational efficiency, reduce costs, and foster the adoption of AI-powered automation in industrial applications.4. Advance AI Policy and EthicsWe promote AI regulations aligned with international frameworks such as the EU AI Act, and advocate for the ethical use of AI with sustainability, safety, and transparency in mind.5. Foster International CollaborationWe establish global partnerships and formal agreements (MOUs) to position Thailand as a regional hub for international AI cooperation.6. Support AI Startups and Innovation EcosystemWe expand platforms such as AI-as-a-Service to catalyze startup growth, support AI infrastructure, and strengthen the innovation ecosystem.

2025 10th International Conference on Information and Network Technologies (ICINT 2025)

General NEWS

Jan 6, 2025 at 12:56 AM

Call for PapersVenue: Melbourne, AustraliaFull Paper Submission Deadline: January 25, 2025 (Final Call!!!)Acceptance Notification Date: February 10, 2025Registration Deadline: February 15, 2025Camera-Ready Paper Submission: February 15, 2025Conference Dates: March 12-14, 2025Link: https://www.icint.org/index.htmlSubmitted papers will be strictly reviewed by technical program committee. Accepted papers will be published in ICINT2025 Conference Proceedings, which will be archived in IEEE Xplore, and submitted to be indexed by Ei Compendex and Scopus. The authors of the papers will be invited to participate in ICINT 2025 to share their research results. Publication News:The proceedings of ICINT 2023 have been published by CPS and included into IEEE Xplore and indexed by Ei Compendex and Scopus.The proceedings of ICINT 2022 have been published by CPS and included into IEEE Xplore and indexed by Ei Compendex and Scopus. 2025 10th International Conference on Information and Network Technologies (ICINT 2025) aims to provide a leading international forum for researchers, practitioners, and professionals from the industry, academia and government to share their new ideas, progresses and achievements in information and network technologies and related fields. ICINT 2025 will be held in Melbourne, Australia during March 12-14, 2025, which is co-sponsored by La Trobe University and IEEE; technically-sponsored by University of the Ryukyus.The conference calls for high-quality, original research papers in the theory and practice of information and network technologies. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in information and networking technologies.CONFERENCE SCOPEThe conference provides an international forum for researchers to report their latest innovations, summarize state-of-the-art in the field, as well as exchange ideas, results, and visions in all fields of information and network technology research and applications. The main topics of interest include, but are not limited to:Advanced Computational Science and ApplicationsAdvanced IT Medical EngineeringAdvanced Management Information Systems and ServicesArtificial IntelligenceBio-inspired Computing and ApplicationsComputer Architecture & VLSIAugmented RealityData CommunicationsData mining applicationsDigital Signal and Image ProcessingExpert SystemsInformation SystemsInformation Retrieval Knowledge Data EngineeringInternet and Web ApplicationsSensor TechnologyWireless Communication and Mobile ComputingWireless Sensor NetworksArtificial IntelligenceDatabase & Data MiningComputer Networks & CommunicationsComputer ArchitectureParallel & Distributed SystemsInternet & its ApplicationsMultimedia & Visual ProgrammingHuman Computer InterfaceVirtual Reality SystemsE-CommerceComputer and network SecuritySoftware EngineeringDistance Learning and e-educationSensor Data ProcessingNeural NetworksComputer SimulationNatural Language ProcessingMachine LearningAspect Oriented Software Development AOSDPattern RecognitionInformation Security (Communication Security/NetworkSecurity/Data Security) GIS Technology and Application3D DisplayMedia and Societal InnovationE-EducationCyber Physical Systems

Uncertainty in Artificial Intelligence (UAI)

General NEWS

Dec 18, 2024 at 11:16 AM

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

The 9th International Conference on Information Technology November 12-14, 2025. Phuket, Thailand and Online (Hybrid format)

General NEWS

Dec 2, 2024 at 3:54 PM

The 9th International Conference on Information Technology (InCIT2025)November 12-14, 2025Phuket, ThailandImportant DatesCamera Ready Submission Deadline: 16 May - 15 September 2025Registration: 12 August – 15 September 2025Call for papers: https://incit2025.computing.psu.ac.thContact: incit2025@phuket.psu.ac.thThe topics of interest for the conference papers include, but are not limited to:Agricultural and Industrial InformaticsArtificial Intelligence and Data ScienceBlockchain and Smart ContractCloud and Grid ComputingComputer Educational TechnologyComputer Networks and CommunicationsDatabase and Information RetrievalHealth and Bio InformaticsHealth, Wellness, and Bio informaticsHuman Computer Interaction and Affective ComputingImage Processing and Computer VisionInformation Forensics and SecurityInternet of Things and Embedded SystemsIT Project and IT Service ManagementKnowledge and Data ManagementMachine Learning and Intelligent SystemsMetaverse and Virtual RealityNatural Language ProcessingOntology and Semantic WebPervasive and Mobile ComputingQuantum Computing and AlgorithmsSoftware Engineering and Software DevelopmentSustainable ComputingSubmissionPaper Format:All authors must use the official “IEEE Manuscript Templates for Conference Proceedings”, which can be obtained from the IEEE Manuscript Templates for Conference Proceedings.Submissions must not exceed 8 pages, including all figures, tables, appendices, etc.All submissions must be in PDF format.InCIT 2025 balances the interests of a high quality conference with fairness towards the authors and audience members. Therefore, InCIT 2025 applies this policy, and reserve the right to preclude authors who do not present their paper at the conference from having their papers published in IEEE Xplore.