News & Activities

International Conference on Sustainable Environment and Agriculture (ICSEA 2026)https://www.icsea.org/index.html2026 11th International Conference on Sustainable Environment and Agriculture (ICSEA 2026) will be held in Tokyo, Japan during August 1-3, 2026. It is one of the leading international conferences for presenting novel and fundamental advances in the fields of Sustainable Environment and Agriculture. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in improving Sustainable Environment and Agriculture related techniques.Important DatesSubmission Deadline: Before April 15, 2026Notification Date:Before May 15, 2026Registration Deadline:Before June 10, 2026Conference Dates: August 1-3, 2026All full paper submissions will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. After acceptation, conference presented and registered full papers will be included in Springer Book Series Environmental Science and Engineering (ISSN: 1863-5520), which will be submitted to EI Compendex, Scopus, SCImago and other major databases for indexing. Call for papers2026 11th International Conference on Sustainable Environment and Agriculture (ICSEA 2026) is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Sustainable Environment and Agriculture. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:Air Pollution and Control Emission sourcesAtmospheric modeling and numerical predictionInteraction between pollutantsPollution control technologiesAir emission tradingWastewater and Sludge TreatmentNutrients removalSuspended and fixed film biological processesAnaerobic treatmentSludge treatment and reuseIndustrial wastewater treatmentAdvances in biological, physical and chemical processesStorm-water managementSolid Waste Treatment and DisposalWaste minimization, recycling and reuseTechnical aspects of treatment and disposal methods (landfilling, thermal treatment etc)Leachate treatmentLegal, economic and managerial aspects of solid waste managementManagement of hazardous solid wasteGlobal Environmental Change and Ecosystems ManagementGlobal warmingOzone layer depletionCarbon capture and storageBiofuelsIntegrated ecosystems managementSatellite and Geographic Information System applications in the environment Environmental Restoration and Ecological EngineeringHabitat reconstructionBiodiversity conservationLandscape degradation and restorationGround water remediationSoil decontaminationEnvironmental monitoringEco-technologyEnvironmental toxicologyEnvironmental Biotechnology Water Treatment and ReclamationAdvanced treatment of water and secondary effluents (membranes, adsorption, ion exchange, oxidation etc)Disinfection and disinfection by- productsManagement of water treatment residualsAesthetic quality of drinking water (taste, odors)Effect of distribution systems on potable water qualityReuse of reclaimed waters Environment and HealthHealth related organismsHazardous substances and detection techniquesBiodegradation of hazardous substancesToxicity assessment and epidemiological studiesQuality guidelines, environmental regulationIndoor air pollution Environmental SustainabilityResource managementLife cycle analysisRenewable sourcesEnergy savingClean technologiesSustainable citiesCrop FarmingFood cropsEconomic cropsFeed cropsHorticultural cropsCrop breedingPlanting techniquesIrrigation and drainage systemsGreenhouse structure and engineeringCrop harvesting and post-harvest processing, storage and technologyPhytopathologyAgricultural entomologyPesticide scienceBioenergy Animal HusbandryFood of animal originProcessing of animal productsLivestock and poultry house construction and facilities engineeringBiological feedAnimal production technologyVeterinary epidemic prevention systemAnimal health and welfareFarm managementAquacultureFood traceability and safety Agricultural MachineryMechanical designMechanical equipmentAdvanced machine systemsBio-machine systemsAgricultural Development and ManagementAgricultural waste managementAgricultural environmentRural developmentAgricultural economyEnvironmental constraints to animal agriculturePrecision agriculture

TVET Smart Idea2Innovationhttps://nriis.go.th/home/news/12259Participation ProcessSubmit inventions and innovation works for the preliminary round through the National Research and Innovation Information System (NRIIS) at https://nriis.go.th.Teams that pass the selection process will participate in the activity TVET Smart Idea2Innovation: Vocational Inventions and Innovations Toward Practical Application, to be held during May–June 2026.Submissions are open from now until 23 March 2026.Qualifications of Participants(To promote equitable opportunity distribution and strengthen research networks)Target Group:Students at the Vocational Certificate (Por Wor Chor) Level, Year 1–2, or Higher Vocational Certificate (Por Wor Sor) Level, Year 1, in order to enable continuous development of their work prior to graduation.Team Composition:Each team must consist of 2 academic advisors and 2 students to ensure effective coaching and knowledge transfer.Selection Consideration:Institutions with diverse backgrounds will be considered, with emphasis on providing opportunities for “new generation researchers” whose research or inventions have not previously received awards.Categories of Inventions and InnovationsAgriculture and Agro-IndustryPublic Health, Health, Food, and Health ProductsInnovation and Artificial Intelligence Technology, Smart DevicesEnergy, Environment, Materials Technology, and BCG Economy ModelQuality of Life and Soft PowerFor Further Information (during official working hours):Research and Innovation Workforce Capacity Development GroupResearch and Innovation Resource Administration DivisionNational Research Council of Thailand196 Phahonyothin Road, Lat Yao Subdistrict, Chatuchak District, Bangkok 10900Tel: +66 2 579 1370–9 ext. 263–265 or 267Website: www.nrct.go.thE-mail: rinvec@nrct.go.thLine Official: @rin.nrctAlternatively, interested applicants may contact the Office of the Vocational Education Commission (OVEC), Bureau of Vocational Education Research and Development:Ms. Saisamorn Kumsumalee – Tel: 081-257-6963Ms. Sataporn Dumdang – Tel: 081-065-6267Email: ver.ip@vecmail.orgNote: The timeline may be adjusted as appropriate.

2026 8th International Conference on Big Data Management https://www.icbdm.org/index.htmlWelcome to ICBDM 2026! 2026 8th International Conference on Big Data Management (ICBDM 2026) will be held in Derby, UK during June 24-26, 2026! It's hosted by University of Derby. The theme of this year is "Data Management in Statistics and Data Science".The conference aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of big data management. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of big data management.Important DatesSubmission Deadline: April 5, 2026Acceptance Notification: May 5, 2026Registration Deadline: May 20, 2026Camera-Ready Version: May 20, 2026Early Bird Registration End: May 20, 2026JournalA few selected papers with extended version will be published in theJournal of Advanced Management ScienceISSN: 2810-9740 Frequency: SemiannuallyDOI: 10.18178/joamsAbstracting/ Indexing: CNKI, Google Scholar, CrossrefTemplate: JOAMS TemplateCall for PapersTopics of interest for submission include, but are not limited to:Track 1: Big Data Analysis and ManagementData Acquisition, Integration, Cleaning, and Best PracticesBig Data Search Architectures, Scalability and EfficiencyCloud/Grid/Stream Data Mining- Big Velocity DataSemantic-based Data Mining and Data Pre-processingBig Data as a ServiceData Lifecycle Management: From Collection to ArchivingData Governance Frameworks and Best PracticesData Management Standards (e.g., FAIR principles: Findable, Accessible, Interoperable, Reusable)Ethical Considerations in Data ManagementAlgorithms and Systems for Big Data SearchVisualization Analytics for Big DataChallenges in Managing Large-scale DatasetsBig Data Processing Frameworks (e.g., Apache Spark, Apache Flink)Scalable Storage Solutions for Big DataMobility and Big DataMethods for Data Collection: Surveys, Experiments, Sensors, Web ScrapingData Integration Techniques: ETL (Extract, Transform, Load) ProcessesSearch and Mining of Variety of Data including Scientific and Engineering, Social, Sensor/IoT/IoE, and Multimedia DataTrack 2: Data Structures and Data ModelsMultimedia and Multi-structured Data- Big Variety DataComputational Modeling and Data IntegrationRelational Databases (e.g., SQL) vs. NoSQL Databases (e.g., MongoDB, Cassandra)Data Warehousing and Data Lake ArchitecturesCloud-based Data Storage Solutions (e.g., AWS S3, Google BigQuery)Distributed Storage Systems for Big Data (e.g., Hadoop HDFS)Data Quality Metrics: Accuracy, Completeness, Consistency, and TimelinessTechniques for Data Cleaning and PreprocessingHandling Missing Data: Imputation Methods and StrategiesOutlier Detection and Treatment in DatasetsReal-Time Data Collection and Streaming Data ManagementImportance of Metadata in Data ManagementMetadata Standards and Schemas (E.G., Dublin Core, Schema.Org)Tools for Metadata Extraction and ManagementRole of Metadata in Data Discovery and ReuseVisualization of High-Dimensional DataManaging Unstructured Data (E.G., Text, Images, Videos)Data Silos and Interoperability IssuesTrack 3: Big Data Security and PrivacyVisualizing Large Scale Security DataThreat Detection using Big Data AnalyticsPrivacy Threats of Big DataPrivacy Preserving Big Data Collection/AnalyticsHCI Challenges for Big Data Security & PrivacySociological Aspects of Big Data PrivacyTrust Management in IoT and Other Big Data SystemsData Encryption and Anonymization TechniquesRole-based Access Control (RBAC) and Data PermissionsCompliance with Data Protection Regulations (e.g., GDPR, CCPA)Secure Data Sharing and Transfer ProtocolsVisualizing Large Scale Security DataBalancing Data Accessibility with SecurityTrust Management in IoT and Other Big Data SystemsHCI Challenges for Big Data Security & PrivacyTrack 4: Big Data Analysis Tools and Key TechnologiesHealthcare: Managing Electronic Health Records (EHR) and Patient DataFinance: Data Management for Fraud Detection and Risk AnalysisEnvironmental Science: Managing Climate and Satellite DataSocial Sciences: Handling Survey and Census DataE-Commerce: Customer Data Management and PersonalizationComplex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, TelecommunicationBig Data Analytics in Small Business Enterprises (SMEs)Big Data Analytics in Government, Public Sector and Society in GeneralReal-Life Case Studies of Value Creation through Big Data AnalyticsExperiences with Big Data Project DeploymentsBig Data as a ServiceBig Data Industry StandardsTrack 5: Application of Big Data in Information SystemsTools and Techniques for Exploratory Data Analysis (EDA)Interactive Dashboards for Data Exploration (E.G., Tableau, Power BI)Open-Source Data Management Tools (E.G., Apache Nifi, Talend)Data Management Platforms (E.G., Snowflake, Databricks)Cloud-Native Data Management SolutionsAutomation Tools for Data Pipelines (E.G., Airflow, Prefect)Data Pipelines for Machine Learning WorkflowsFeature Engineering and Dataset PreparationManaging Labeled and Unlabeled Data for Supervised and Unsupervised LearningData Versioning and Reproducibility in ML ExperimentsData Management for AI and Deep LearningBlockchain for Secure and Decentralized Data ManagementFederated Learning and Privacy-Preserving Data ManagementQuantum Computing and Its Impact on Data Management

The 2026 17th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4e 2026)Fukuoka, Japanhttps://www.ic4e.net/index.htmlWelcome to the 17th IC4e 20262026 17th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4e) will be held at Kyushu University Fukuoka, Japan during April 1-4, 2026.Conference Theme: "Innovating E-Systems for a Smarter Future"E-education, e-business, e-management, and e-learning are vital pillars of the digital society's development. With the deep integration of cloud computing, artificial intelligence, and big data technologies, these fields are undergoing rapid transformation. E-education breaks traditional educational boundaries of time and space, e-business accelerates the digitalization of global trade, e-management enhances the efficiency of public services and business operations, and e-learning optimizes knowledge dissemination and learning experiences. These domains have become central drivers of technological innovation and sustainable socio-economic development.The 17th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4e 2026) will be held in Fukuoka, Japan during April 1-4, 2026, sponsored by IEEE, and co-sponsored by Rajamangala University of Technology Tawan-ok, Thailand with patrons from Purdue University Northwest, USA, De La Salle University-Manila, Philippines, China West Normal University, China, Bulacan State University, Philippines, and Prince Sultan University, Saudi Arabia.Call for Papers The 2026 17th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4e 2026), with the theme "Innovating E-Systems for a Smarter Future," serves as the premier forum for presenting new advances and research results in the fields of theoretical, experimental, and applied E-Education, E-Business, E-Management, and E-Learning. This conference will bring together leading researchers, engineers, and scientists worldwide to share their latest research, insights, and developments in these domains. Topics of interest for submission include, but are not limited to:e-Education:Innovative e-learning technologies and platformsSystems, Design and TechnologiesPractices and cases in e-educationSystems and technologies in e-educationApplications and integration of e-educatione-learning evaluation and contentCampus information systemse-learning technologies, standards and systemsMobile learningComputer aided assessmentsKnowledge managementVirtual learning environmentsMultimedia in e-learningMarketing and promoting e-learningSocial benefits of e-learningOrganization learningTechnology adoption and diffusion of e-learninge-Business:Mobile and pervasive commerceElectronic Markets and Multiagent SystemsDigital goods and productsB2B, B2C, and C2C modelsAgent-mediated e-Commercee-Marketplaces, e-Hubs, and portalsPervasive technologies for eCommerceDynamic pricing modelsP2P-computing for e-Commercee-Payment systemse-Commerce content managementConsumer protection in eCommerceUser behavior modelingInnovative business modelsEnterprise application integrationBusiness process re-engineeringVirtual enterprises and virtual marketsVirtual organizations and coalitionsMobile businesse-Learning:Systems, Design and Technologiese-Learning platformsCourse designEmerging and best practicesPartnerships in e-LearningEvaluation of e-Learninge-Learning strategiesSocial benefits of e-Learninge-Learning effectiveness and outcomesWeb-based learningSecurity and confidentialitySelf-learning integrated methodologyAmbient intelligenceAssertive and assistive educational technologyComputer-aided assessmentLearning content management systemsAV-communication and other mediaDigital classroomsBlended learningCollaborative on-line learninge-Management:Leadership in the digital eraKnowledge management systemse-Audite-Control and Risk Managemente-Planninge-Organisinge-Supervisione-Politicse-Communicatione-RecruitmentSystems, Design and TechnologiesKnowledge ManagementTechnology Adoption and Diffusion of eManagemente-Management Strategiese-Management Effectiveness and OutcomesSocial Benefits of e-ManagementCurrent Trends in e-ManagementThreats in e-Management

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.

International Journal of Information Technology & Decision MakingISSN (print): 0219-6220 | ISSN (online): 1793-6845 International Journal of Information Technology and Decision Making (IJITDM) provides a global forum for exchanging research findings and case studies which bridge the latest information technology and various decision-making techniques. It promotes how information technology improves decision techniques as well as how the development of decision-making tools affects the information technology era. The journal is peer-reviewed and publishes both high-quality academic (theoretical or empirical) and practical papers in the broad ranges of information technology related topics.Call for PapersSpecial Issue onExploring Data Science in IT and Quantitative ManagementSupply Chain Management, Sustainability, and Productivity Efficiency EvaluationsDecision Making in Risk AnalysisOperations Research and Optimization Submission Guidelines https://www.worldscientific.com/page/ijitdm/submission-guidelinesAbstracted & Indexed in(https://www.worldscientific.com/page/ijitdm/abstracted-indexed)ABDC Journal Quality List by Australian Business Deans CouncilAcademic OneFileBaiduBusiness Source Index (Ebsco)CabellCNKI ScholarCnpLINKerCompendexCompuMath Citation Index (CMCI)CrossRefDBLP Computer Science BibliographyDimensionsEbsco Discovery ServiceEbsco Electronic Journal Service (EJS)Ebsco Science & Technology Collection, Computer Science IndexExLibris Primo CentralGoogle ScholarINSPECISI Alerting ServicesJ-GateJournal Citation Reports/Science EditionNaverNSTL - National Science and Technology LibrariesOCLC WorldCat®ProQuest CentralProQuest Computer & Information Systems AbstractsProQuest Technology Collection (Advanced Technologies Database with Aerospace)RePECScience Citation Index Expanded (SCIE)ScopusThe Summon® Service

Don't Miss: Thailand's NRIIS Announces Comprehensive Research Funding Opportunities from Nine National Agencies Thailand's National Research and Innovation Information System (NRIIS) has announced the availability of research funding opportunities from all nine major Thai research agencies for the upcoming fiscal year budget. The comprehensive funding initiative represents a significant investment in the country's research and innovation capabilities across multiple sectors, with grants covering virtually every field of research from basic sciences to applied technologies, ensuring comprehensive support for researchers across all disciplines and areas of study.NRIIS, developed by the National Research Office under the Ministry of Higher Education, Science, Research and Innovation, serves as the central platform consolidating research opportunities from Thailand's key funding bodies. The system provides researchers with streamlined access to funding applications and comprehensive information about available grants.The funding covers diverse research areas including nuclear energy and radiation, children's quality of life enhancement, economic development through value-added and creative economies, OTOP product promotion, organic agriculture, disaster management, dengue fever research, invasive species studies, and elderly care research. Additional focus areas include rubber research, durian development, PM 2.5 management, medical cannabis and kratom studies, water management, medical innovation, artificial intelligence, and biotechnology.This announcement comes as Thailand Science Research and Innovation (TSRI) has allocated 8 billion baht to bolster the country's young researcher supply, particularly supporting S-curve industries such as artificial intelligence, electric vehicles, and quantum technologies.Researchers and academic institutions are encouraged to visit the NRIIS website at https://nriis.go.th/www/ to explore available funding opportunities and submit their research proposals for the upcoming fiscal year. The platform offers comprehensive support for project management and facilitates collaboration between researchers and funding agencies across Thailand's research ecosystem.The initiative reflects Thailand's commitment to strengthening its research infrastructure and maintaining competitiveness in the global knowledge economy through sustained investment in scientific research and innovation.

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

Application deadline: July 4th, 2024Location: Nova Information Management School Universidade Nova de Lisboa Campus de Campolide Lisbon, PortugalLink: https://academicpositions.com/ad/nova-ims/2024/faculty-positions-for-assistant-professor-businesss-intelligence-and-analytics/218536The PositionNOVA Information Management School (NOVA IMS) at Universidade Nova de Lisboa invites for an expression of interest for a position as a Professor (at Assistant/ Associate or Full Professor level) in Business Intelligence and Data Warehouses.The position is to be filled in NOVA IMS’ facilities in Lisbon, Portugal.Salary and conditions are competitive and will be commensurate with qualifications and experience.QualificationsNOVA IMS seeks a candidate with a strong commitment to excellence in scholarly research and teaching. He/ she will be expected to teach in undergraduate as well as graduate programme classes related to Business Intelligence and Databases and one or more of the following areas of expertise:Business IntelligenceDatabase Management SystemData WarehousingData AnalyticsThe successful applicants should have a strong academic background and an international profile in the aforementioned expertise areas with a record of research publications in top-ranked field journals. Moreover, relevant experience in obtaining funding and managing national and international research projects will be considered an advantage.The successful candidate should be able to provide strong and committed leadership in education, including curriculum development, course coordination and educational innovation, the preparation and delivery of lectures, seminars and tutorials, consultation with students, and marking and assessment.The main requirements for applicants are listed below:PhD or doctoral degree from a recognized university;Excellent scientific achievements, documented by internationally recognized publications;Excellent didactic skills;Demonstrate an excellent teaching ability at both the undergraduate and graduate levels;High capacity to develop pedagogical innovations and to manage a programme;Excellent communication skills (oral, written, presentation);Proficient in English (oral and written);Ability to teach in English;Collaborative skills, initiative, result oriented, organization, and capacity to work in an interdisciplinary environment.The SchoolNOVA Information Management School (NOVA IMS, www.novaims.unl.pt) is the School of Information Management and Data Science of Universidade Nova de Lisboa. It is one of the 9 academic units of Universidade NOVA de Lisboa, a university institution with internationally recognized research and quality teaching.It is dedicated to converting data into value, under the motto “Data with Purpose”, through a wide range of activities, namely teaching, and research and development activities that are largely supported by international partnerships, offering a unique research environment to address its main research challenges.The quality of its training is recognized globally, through different national and international accreditations, and outstanding positions achieved in various fields, namely in the Eduniversal ranking (seven of its masters and postgraduate degrees are recognized among the best in the world in their respective areas).NOVA IMS has more than 30 years of accumulated experience in data processing and analysis, which it now puts at the service of digital transformation and the “Big Data” environments in which we live in, namely through a wide range of laboratories (NOVA ANALYTICS LABS powered by NOVA IMS). Today, it has more than 3.000 students from 81 different countries, and high levels of internationalization in all the activities it carries out from Lisbon to the world.How to applyInterested candidates are invited to send the application material listed below by email to rh@novaims.unl.pt (mentioning the reference of the application):A cover letter including motivation to join NOVA IMS;A complete curriculum vitae with a list of publications and a list of classes taught;A copy of the three most significant recent publications, communications or working papers.Reference: NOVAIMS_ BusinessIntelligenceandAnalytics