News & Activities

The 10th International Conference on Deep Learning TechnologiesJuly 17-19, 2026, Kunming, Chinahttps://www.icdlt.orgSubmission Deadline: March 1, 2026Notification of Acceptance: April 1, 2026Camera Ready Deadline: April 15, 2026Registration Deadline: April 15, 2026Conference Dates: July 17-19, 2026You are invited to attend 2026 10th International Conference on Deep Learning Technologies will be held during July 17-19, 2026 in Kunming, China. It's sponsored by Kunming University of Science and Technology, China, organized by the Faculty of Information Engineering and Automation of Kunming University of Science and Technology. It's to provide a valuable opportunity for researchers, scholars and scientists to exchange their ideas face to face in Deep Learning Technologies.We invite researchers from deep learning technologies to participate and submit their work to the program. Likewise, any work on deep learning that has a relation to any of these fields or potential for the usage in any of them is welcome. Please refer to the different submission categories under "Call for Papers" above for further details.Track 1: Deep Learning Model and AlgorithmRecurrent Neural Network (RNN) Sparse Coding Neuro-Fuzzy Algorithms Evolutionary Methods Convolutional Neural Networks (CNN) Deep Hierarchical Networks (DHN) Dimensionality Reduction Unsupervised Feature Learning Deep Boltzmann Machines Generative Adversarial Networks (GAN) Autoencoders Deep Belief Networks Meta-Learning and Deep Networks Deep Metric Learning Methods MAP Inference in Deep Networks Deep Reinforcement Learning Learning Deep Generative Models Deep Kernel Learning Graph Representation Learning Gaussian Processes for Machine Learning Clustering, Classification and Regression Classification ExplainabilityTrack 2: Machine Learning Theory and TechnologyNovel machine and deep learningActive learningIncremental learning and online learningAgent-based learningManifold learningMulti-task learningBayesian networks and applicationsCase-based reasoning methodsStatistical models and learningComputational learningEvolutionary algorithms and learningFuzzy logic-based learningGenetic optimizationClustering, classification and regressionNeural network models and learningParallel and distributed learningReinforcement learningSupervised, semi-supervised and unsupervised learningTensor Learning Deep and Machine Learning for Big Data Analytics:Deep/Machine learning based theoretical and computational modelsMachine learning (e.g., deep, reinforcement, statistical relational, transfer)Model-based reasoningTrack 3: Deep and Machine Learning ApplicationsDeep Learning for Computing and Network PlatformsRecommender systemsDeep Learning for Social media and networksDeep Learning in Computer VisionDeep learning in speech recognitionDeep Learning in Nature Language Processing,Deep Learning in Machine TranslationDeep learning in bioinformaticsDeep Learning in Medical Image AnalysisDeep Learning in Climate ScienceDeep Learning in Board Game ProgramsDeep and Machine Learning for Data Mining and KnowledgeTrack 4: Responsible AI, Security, and GovernanceAI safetyPrivacy preservationAlgorithmic FairnessFairness and ethicsClassification Explainability and Explainable AI (XAI)AI EthicsAI governanceGreen Deep LearningSynthetic Data GenerationSocial and Economic Impact of AISustainable AIAI Risk AssessmentThe accepted paper will be included into ICDLT 2026 Conference ProceedingsPUBLICATION HISTORYICDLT 2025 Proceedings - 979-8-4007-1852-6 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2024 Proceedings - 979-8-4007-1686-7 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2023 Proceedings - 979-8-4007-0752-0 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2022 Proceedings - 978-1-4503-9693-6 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2021 Proceedings - 978-1-4503-9016-3 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2020 Proceedings - 978-1-4503-7548-1 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2019 Proceedings - 978-1-4503-7160-5 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2018 Proceedings - 978-1-4503-6473-7 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2017 Proceedings - 978-1-4503-5232-1 | ACM Digital Library | Ei & SCOPUS Index

External events, opportunities, and trade missions UK Government UK-ASEAN AI Innovation Summit; 6-8 October (KL, Malaysia) The UK-ASEAN AI Innovation Summit is a strategic platform for advancing shared priorities between the UK and ASEAN Member States. It builds upon previous engagements such as the UK-MY AI Conference 2023, UK AI Week in Thailand, and the AI for Sustainable Development in ASEAN (AISDA). The Summit is also aligned with the forthcoming ASEAN Digital Economy Framework Agreement (DEFA) and the UK’s AI Opportunities Action Plan (2024). There will be keynote presentations, panel discussions, workshops for the Summit covering the following themes: Sustainable and secure AI infrastructure and cross-border compute access, Trusted data-sharing partnerships to support inclusive innovation, AI talent development and skills exchange, including pathways for women and non-traditional learners, Pro-innovation regulation and responsible AI governance, Public sector adoption and business innovation partnerships. If you would like to attend, please email Poorani.Krishnan@fcdo.gov.uk

MHESI FAIR 2025: “Sci‑Power for Future Thailand”https://www.mhesifair.com The Ministry of Higher Education, Science, Research and Innovation (MHESI) proudly presents MHESI FAIR: Sci‑Power for Future Thailand, a dynamic science, research, and innovation expo designed to shape the future of Thailand’s knowledge economy.We warmly invite all professors, researchers, and motivated students to join MHESI FAIR 2025—immerse yourself in science and innovation, share your work, gain new insights, and help forge pathways toward Thailand’s sustainable scientific future.🗓 Date & Venue:August 9–16, 2025 (9 AM–8 PM daily), and August 17 (9 AM–6 PM)Exhibition Halls 1–4, Queen Sirikit National Convention Center (QSNCC), Bangkok🎯 Who Should Attend:Professors & Research Team Leaders looking to showcase research breakthroughs and explore partnershipsResearchers eager to share findings, gain visibility, and network with fellow expertsUniversity Students passionate about STEM and innovation, keen to engage in workshops, seminars, and exhibitions🔍 What You’ll Experience:Explore six immersive thematic zones across 23,000 m², dedicated to lifelong learning, startups, exponential growth, well‑being, and Thailand’s scientific future Thai News+1MHESIFAIR+1Join seminars and expert panels led by thought leaders in science, research, and innovation (check the Seminar & Activities pages for the full program) MHESIFAIRMHESIFAIRParticipate in interactive science shows, skill‑building workshops, and engaging music & cultural performances MHESIFAIRMHESIFAIREnjoy gamified “Stamp Point” challenges to earn rewards and connect with peers across different zonesMHESIFAIR

The 6th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON2025) Call for Papers: TIMES-iCON2025 – The 6th International Conference on Technology Innovation Management and Engineering ScienceThe organizing committee is pleased to announce that the 6th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON2025) will be held in Bangkok, Thailand, during December 10–12, 2025.TIMES-iCON2025 will be a premier international platform for researchers, scholars, and practitioners to present and discuss the latest innovations, trends, challenges, and solutions in the fields of management, innovation technology, and information technology. The conference will cover a wide range of topics, including:Digital Innovation, Disruption, and Emerging Technologies (AI, IoT, Blockchain, Cloud, Quantum Computing, etc.)Information Technology Management and CybersecurityHealthcare IT ManagementScience and EngineeringDigital Economy and Business Model InnovationSmart City and Smart LogisticsDigital Education and Knowledge ManagementStrategic and Project Management, Change Management, EntrepreneurshipAll accepted papers are expected to be published in IEEE Xplore and indexed by EI (Engineering Index). Selected outstanding papers will be invited for extension and publication in the Journal of Mobile Multimedia (Q2_SJR 2024), indexed in Scopus.📍 Venue: Bangkok, ThailandBangkok is a vibrant capital city and one of the most visited destinations in the world. It is a gateway to other cities in Thailand and is famous for its unique blend of ancient culture and modern lifestyle. Notable attractions include the Grand Palace, Wat Phra Kaew, Chao Phraya River, Khao San Road, Yaowarat (Chinatown), Chatuchak Market, and Train Night Market Ratchada.We warmly invite all researchers and professionals to join this exciting conference and contribute to a global exchange of knowledge and innovation.For more information and updates, please visit the official conference website: [https://timesicon2025.atdi.or.th]

Number of UnicornsDESI - Compare two indicatorshttps://digital-decade-desi.digital-strategy.ec.europa.eu/datasets/desi/charts/compare-two-indicators?indicator=desi_dsk_ab&breakdown=ind_total&unit=pc_ind&country=NL,LU,PL,PT,SK,ES,SE&periodY=desi_2024&periodX=desi_2024&indicatorX=desi_unicorns&indicatorY=desi_da&breakdownY=ent_all_xfin&breakdownX=total&unitY=pc_ent&unitX=nb_unicornsDefinition and scopes:Compare two indicators using a scatter-plot chart. Each country appears as a point whose coordinates are its values on the two selected indicators. It allows clustering countries according to their similarities along the two selected indicators and illustrates how much they are correlated. You can also zoom inside the chart.Key insights from the graph:Sweden (SE): Exhibits a high number of unicorns and a significant percentage of enterprises utilizing data analytics.Netherlands (NL): Shows a moderate number of unicorns with a relatively high adoption of data analytics among enterprises.Spain (ES): Has a lower number of unicorns but demonstrates a considerable percentage of enterprises engaged in data analytics.Poland (PL), Portugal (PT), Slovakia (SK), and Luxembourg (LU): These countries display varying levels of data analytics adoption among enterprises, with a relatively lower presence of unicorns compared to Sweden and the Netherlands.This comparison highlights the relationship between the emergence of unicorns and the adoption of data analytics across different European nations.

Research in Southeast Asia quantifies how much wildfire smoke hurts peoples’ moods; finds the effect is greater when fires originate in other countries.Peter Dizikes | MIT NewsPublication Date: February 13, 2024Wildfires in Southeast Asia significantly affect peoples’ moods, especially if the fires originate outside a person’s own country, according to a new study.The study, which measures sentiment by analyzing large amounts of social media data, helps show the psychological toll of wildfires that result in substantial air pollution, at a time when such fires are becoming a high-profile marker of climate change. “It has a substantial negative impact on people’s subjective well-being,” says Siqi Zheng, an MIT professor and co-author of a new paper detailing the results. “This is a big effect.”The magnitude of the effect is about the same as another shift uncovered through large-scale studies of sentiment expressed online: When the weekend ends and the work week starts, people’s online postings reflect a sharp drop in mood. The new study finds that daily exposure to typical wildfire smoke levels in the region produces an equivalently large change in sentiment.“People feel anxious or sad when they have to go to work on Monday, and what we find with the fires is that this is, in fact, comparable to a Sunday-to-Monday sentiment drop,” says co-author Rui Du, a former MIT postdoct who is now an economist at Oklahoma State University.Read more at https://news.mit.edu/2024/study-measures-psychological-toll-wildfires-0213

Natural Hazards ResearchVolume 4, Issue 1, March 2024, Pages 87-96AbstractUnderstanding the spatiotemporal distribution of forest fires and future predictions is very important for management strategies. To identify the present status of forest fires in the Kingdom of Thailand and their risk in the future, ten-year forest fire data were used, and a forest fire hotspot was prepared. A geospatial technique was used in the study to characterize the parameters of forest fires in the country and identify future forest fire risk areas. Most of the forest fires in the country were found to be seasonal. Deciduous forests in higher elevations and on moderate slopes were most vulnerable to forest fire. The level of aridity, soil moisture, temperature, precipitation, vegetation status, and topography influenced the spatiotemporal distribution of forest fires in the country. Greater than 50% of fire risks were observed in 22 administrative divisions, and 17 of the 209 protected areas are also in the high-risk category. The final forest fire hotspot map can be used in policy development and successful management strategies. A better monitoring strategy should be used in the fire hotspot areas as a precautionary measure to minimize the anthropogenic causes of forest fires.Read more at https://www.sciencedirect.com/science/article/pii/S2666592123000847

World's Top 2% ScientistsLink: https://topresearcherslist.comTopResearchersList.com is an interactive platform that provides access to Stanford University's "World's Top 2% Scientists" list. It allows users to search for and explore detailed profiles of leading researchers across various scientific fields. Scientists included in the list can claim and personalize their profiles using their institutional email addresses, enhancing their online presence and credibility. The website offers powerful search and filtering tools that allow users to easily navigate and explore the vast database of top researchers.About: topresearcherslist.comStanford/Elsevier's Top 2% Scientist RankingsStanford's Top 2% Scientists is an esteemed ranking that identifies the most cited scholars in their fields. This ranking, derived from Scopus database data, highlights researchers whose work has had a significant impact across various scientific disciplines.MethodologyThe ranking is based on a composite indicator (c-score) calculated from six citation metrics:Total citations (NC)H-index (H)Hm-index (H-index adjusted for the number of authors)Citations to single-author papers (NCS)Citations to single or first-author papers (NCSF)Citations to single, first, or last-author papers (NCSFL)The c-score combines these metrics to provide a comprehensive measure of a scientist's impact, accounting for both the quantity and the quality of their contributions.Selection CriteriaTop 100,000 Scientists: Scholars are ranked based on their c-score, including and excluding self-citations. 2% Percentile: Scientists in the top 2% of their sub-field are also included. Field and Sub-field Classification Researchers are categorized into 22 scientific fields and 174 sub-fields based on the standard Science-Metrix classification.Data And UpdatesCareer-long Impact: Metrics cover the entire career of a scientist up to the end of current year-1.Recent Year Impact: Metrics focus on citations received during current year-1.Latest Version: This latest version is based on the Scopus snapshot as of October 1, current year.Transparency and Accessibility: This is a publicly accessible database that includes standardized information on citations, h-index, co-authorship adjusted hm-index, and the c-score. Metrics are available with and without self-citations, and field-specific percentiles are included for all scientists with at least five papers.For more detailed information, visit the ICSR Lab.Stanford University's list of "World's Top 2%" scientists is based on a 2% or above percentile rank, or the top 100,000 by c-score (with and without self-citations). This prestigious list identifies the world's leading researchers, representing approximately 2% of all scientists worldwide. It encompasses standardised data on citations, h-index, and a wide range of bibliometric indicators. Researchers are classified into 22 scientific fields and 174 sub-fields, drawing from Scopus data provided by Elsevier through ICSR Lab.

The most recent edition of the world’s Top 2% scientists, as determined by Stanford University, was unveiled in September 2024. In this compilation, CCDS is proud to have an impressive 38 faculty members included in the single year and career rankings. Prof Ong, C. H. Luke¹Prof Miao, Chunyan²Prof Guan, Cuntai²Prof Lin, Weisi²Prof Cong, Gao²Prof An, Bo²Prof Ong, Yew Soon²Prof Wen, Yonggang²Prof Loy, Chen Change²Prof Rajapakse, Jagath C.¹Prof Lam Kwok Yan²Prof Niyato, Dusit²Prof Liu, Yang²Prof Zhang, Jie²Prof Cambria, Erik²Prof Sun, Chengzheng¹ (retired)A/P Quek, Hiok Chai¹A/P Sun, Aixin²A/P Tan, Rui3A/P Lee, Bu Sung Francis¹A/P Maskell, Douglas L.¹A/P Kong, Wai Kin Adams¹A/P Qian, Kemao²A/P Tan, Chee Wei¹A/P Zhang, Hanwang²A/P Anwitaman, Datta¹A/P Lu, Shijian²A/P Lin, Guosheng²A/P Luo, Jun²A/P Chattopadhyay, Anupam²A/P Liu Weichen3A/P Yu Han3A/P Joty, Shafiq3A/P Hsu, Wen Jing¹ (retired)Asst/P Liu, Ziwei²Asst/P Zhao, Jun²Asst/P Pan, Xingang3Asst/P Lim, Wei Yang Bryan3We extend our heartfelt congratulations to all the distinguished professors who have earned their place in the esteemed top 2% list!Notes: ¹ Career ranking ² Single year and career ranking 3 Single year rankingSource: https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/7

August 2024 data-update for "Updated science-wide author databases of standardized citation indicators"Published: 16 September 2024|Version 7 |DOI: 10.17632/btchxktzyw.7Contributor: John P.A. IoannidisLink: https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/7Citation metrics are widely used and misused. We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and, separately, for single recent year impact. Metrics with and without self-citations and ratio of citations to citing papers are given and data on retracted papers (based on Retraction Watch database) as well as citations to/from retracted papers have been added in the most recent iteration. Scientists are classified into 22 scientific fields and 174 sub-fields according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2023 and single recent year data pertain to citations received during calendar year 2023. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (7) is based on the August 1, 2024 snapshot from Scopus, updated to end of citation year 2023. This work uses Scopus data. Calculations were performed using all Scopus author profiles as of August 1, 2024. If an author is not on the list it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work. PLEASE ALSO NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE CHANGED. The published version reflects Scopus author profiles at the time of calculation. We thus advise authors to ensure that their Scopus profiles are accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus, preferably by use of the Scopus to ORCID feedback wizard (https://orcid.scopusfeedback.com/) so that the correct data can be used in any future annual updates of the citation indicator databases. The c-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). If you have additional questions, see attached file on FREQUENTLY ASKED QUESTIONS. Finally, we alert users that all citation metrics have limitations and their use should be tempered and judicious. For more reading, we refer to the Leiden manifesto: https://www.nature.com/articles/520429aMorehttps://www.researchgate.net/publication/384564448_World_Ranking_of_Top_2_Scientists_2024

Medical AI ConsortiumThe Medical AI Consortium was established in 2024 with support from the Program Management Unit for Human Resources & Institutional Development, Research, and Innovation (PMU-B) in terms of budget and administrative management.VisionTo establish medical data platforms supporting the advancement of medical AI.To promote research, development, and innovation in medical AI.To develop capabilities and talent in the field.To produce innovations that benefit medical services. Management Structure1. Data Platform Management BoardResponsible for managing the medical data platform to resolve issues and elevate medical research innovation:Define policies, set strategies, and provide guidance.Promote linkages and integration between research, development, and innovation activities.Facilitate collaborations and partnerships.Ensure data management aligns with relevant regulations.Evaluate and improve management effectiveness.2. Data Steward TeamResponsible for maintaining the integrity and quality of data:Establish data guidelines, focusing on security, privacy, and quality.Audit data to ensure it is comprehensive and up-to-date.Create and manage a data catalog, data dictionary, and metadata.Set standards and implement best practices for data utilization.Facilitate seamless sharing of data while maintaining compliance.Express your interest in joining the Medical AI Consortium!For more details, contact:Email: medicalai@dms.mail.go.th

The Program Management Unit for Human Resources & Institutional Development, Research and Innovation (PMU-B) would like to share some highlights from the official opening of the "PMU-B Brainpower Congress 2024".This year, the event is organized under the theme “Unlocking the Potential of Ignite Thailand: Empowering Thais for Future Industries”.PMU-B has gathered a strong force of researchers to drive transformative power, aiming to elevate Thailand’s economy forward through science, research, and innovation.The event will be held from today until December 13, 2024,at Dusit Thani Hua Hin Hotel, Cha-am District, Phetchaburi Province.Stay updated on PMU-B Brainpower Congress 2024 at:→ Website: https://www.pmu-hr.or.th/brain_power-2024→ Facebook page: PMU-B

Asia 2.0: A Century of Transforming Identities Link: https://asianartcentury.comExploring the diverse and evolving identities of young Asians shaped by globalization, technology, digital culture, climate change and environmental consciousness, cultural exchange between Asia and the world.This includes reflections on gender roles, societal norms, the evolving sense of self, and the interplay between ancient techniques and contemporary styles, reinventing traditional Asian art forms.Open CallAn unmissable opportunity to exhibit your works !Chiang mai will host the First Edition of Asian Art Century: Asia 2.0: A Century of Transforming IdentitiesWe promote contemporary abstract and figurative artworks, where bold creativity and innovation meets the global stage!Event Calendar 📅Deadline to submit images to be selected Dec 18 2024Press conference Jan 28 2025Open to artists for setup space from Jan 25 2025Grand opening with invitations only, on Friday Jan 30 2025 at 5 pmFair open Jan 31 2025, Feb 1 and 2Apply Now!Deadline for applications is December 18, 2024.You will be recontacted by e-mail after applying.

Research Studentships for PhD students Public announcementDeadline: 2 January 2025Link: https://euraxess.ec.europa.eu/sites/default/files/funding/2024-11/Announcement%20-%20PhD%20Research%20Scholarship_SIE.pdfThe Polytechnic University of Porto (P.PORTO), through the Research Unit GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, (UIDB/0760/2020), of the Institute of Engineering – Polytechnic of Porto (ISEP/P.PORTO), opens an application process for the allocation of 1 (one) research scholarship, hereinafter referred to as the PhD Research Scholarship, in the field of Energy, Electrical Engineering, or Informatics within the theme "Intelligent Energy Systems", under the Regulations for Research Scholarships of the FCT (RBI) and the Research Fellow Statute (EBI). The scholarship will be funded by the Foundation for Science and Technology (FCT) under the Collaboration Agreement for the Financing of Research Scholarships for PhD Students, signed between the FCT and the IPP within the scope of the ATHENA European University.What is fundedScholarship within the in the field of Informatics within the theme “Energy, Electrical Engineering”APPLICATION SUBMISSIONThe application is open for 30 days, from 3rd of December, 2024, until 2nd of January, 2025. Applications and the supporting documents specified in this Call for Applications must be submitted via: https://www.ipp.pt/concursos/pessoalEach candidate may submit only one application, under penalty of cancellation of all applications sent. Providing false declarations or engaging in acts of plagiarism by applicants will result in the cancellation of the application, without prejudice to the adoption of other punitive measures. ELIGIBILITYCandidate Eligibility Requirements1. Who may apply to this application:a) Portuguese nationals or citizens of other European Union member states;b) Citizens of third countries;c) Stateless persons;d) Citizens benefiting from political refugee status.2. To apply for a PhD Research Scholarship, it is necessary to:a) Hold a master's degree in the field of Electrical or Computer Engineering or in areas considered related;b) Reside permanently and habitually in Portugal on the start date of the period of the work plan abroad, in thecase of the work plan proposed for the scholarship includes a period in foreign institutions (mixedscholarships), this requirement is applicable to both nationals and nationals foreigners.c) Have not benefited from a doctoral scholarship or a company-funded doctoral program directly financedby the FCT, regardless of its duration;d) Not hold a doctoral degree.

The Dutch Research Council (NWO)The aim of the NWO Talent Programme is to provide creative space for adventurous, talented, pioneering researchers to do research of their choice, develop their own line of research and further develop their talent.Please read the detailed information from this link. https://www.nwo.nl/en/calls/nwo-talent-programme-vidi-science-2024When to apply?The deadline for submitting preproposals is 5 november 2024, before 14:00:00 CET.The deadline for submitting full proposals is 8 april 2025, before 14:00:00 CEST.Budget: €31,450,000 The Vidi grant, part of the NWO Talent Programme, supports researchers transitioning into leadership roles. It is awarded to those with exceptional academic achievements and leadership potential. The grant funds innovative research and provides opportunities for researchers to establish or expand their own research groups. Applications from disciplines such as Earth Sciences, Astronomy, Chemistry, Computer Science, Life Sciences, Physics, and Mathematics will be submitted to the Science domain.Who can apply?Applications can be submitted by candidates who have obtained their PhD, irrespective of whetherthey hold tenured positions and of whether they come from the Netherlands or abroad. Candidatesmay only submit an application if they have obtained their PhD in the eight years preceding thebenchmark date of this round, 1 October 2024. An extension to the above career-dependent submission period may be possible under specific circumstances What apply for?A maximum of € 850,000 can be applied for within this Call for proposals. The maximum duration of the proposed project is five years. If the proposed research is of shorter duration, the maximum amount will be reduced accordingly. Only request the amount that is required to execute the project.

Application Deadline: 1 Nov 2024 - 20:00 (Europe/Paris)Organisation/Company: Université de StrasbourgDepartment: Centre Européen de Sciences Quantiques - Institut de Science et d'Ingénierie Supramoléculaires (ISIS)Research Field: Physics » Quantum mechanicsResearcher Profile: First Stage Researcher (R1)Positions: PhD PositionsOffer DescriptionThe development of new quantum technologies heavily relies on benchmarks against numerical simulations. However, accurately simulating quantum systems made of many constituents is exponentially complex, especially for the dynamical processes essential to many computations in fundamental physics, in quantum chemistry or in material science. Existing methods typically face the “exponential wall of complexity” which drastically limits our ability to describe complex quantum states of matter. There is an urgent need for methods that provide precise, reliable predictions for large quantum systems and pave the way for future breakthroughs. To tackle this very ambitious problem, we propose to restrict to a specific family of quantum many-body systems that undergo ‘nearly integrable’ dynamics, meaning that their dynamics on experimental time scales is non-chaotic and is governed by a proximate integrable model. Recent theory progress suggests that this family of systems is particularly promising for the development of new computational methods. This problem will be attacked through the prism of concrete toy models in one spatial dimension (spin chains), where the goal is to (i) identify quantifiers based on entanglement and quantum information concepts that are sensitive to the type of dynamics (integrable vs. chaotic) and allow to distinguish between them and (ii) develop new geometries of Tensor Network variational wavefunctions that can accurately approximate the time evolution of the many-body wavefunction and circumvent the exponential wall of complexity.The PhD position is for 3 years, and the PhD candidate will be supervised by Jerome Dubail at the Centre Europeen de Sciences Quantiques in Strasbourg, France.Where to apply: E-mail: j.dubail@unistra.frRequirementsResearch Field: Physics » Quantum mechanicsEducation Level: Master Degree or equivalentLink: https://euraxess.ec.europa.eu/jobs/271235Website: https://www.cesq.eu/

Deadline for applications: 06 October 2024, 12:00 mid-day BSTSource: https://opportunities-insight.britishcouncil.org/news/opportunities/grants-capacity-strengthening-programmesWe invite applications from UK institutions for the International Research Empowerment Programme supported by the Department of Science, Innovation and Technology's International Science Partnerships Fund (ISPF) under the ISPF thematic priority ‘Tomorrow’s Talents’.Aligning with the British Council’s mission to connect the UK with international partners through meaningful people-to-people connections across borders, the opportunity aims to address several critical priorities within the realm of international research collaboration through capacity strengthening.Countries initially joining this call include Turkey, Thailand, Malaysia, and Vietnam.Grants up to £80,000 will be available for funding capacity strengthening activities under four priority areas:Forster better engagement and management practices in international research collaboration.Support Equality, Diversity, and Inclusion (EDI) in international research endeavours.Promote capacity strengthening and knowledge exchange in interdisciplinary research.Create opportunities for researchers and institutions to engage with communities, policymakers, and translate research into societal benefits.Applicants should consider how best to address the priority set for the international partner that you will be collaborating with, as specified in Appendix 1 of the Guidelines for Applicants. TimelinesWho can applyBoth UK and international partner project leaders must hold permanent positions (research/academic/professional) at eligible institutions and have relevant expertise and capacity to lead the project.Collaborations should include one project leader from the UK and a project leader from the international partner. We will allow only one application per a project leader, from either side.Please see the Eligibility Section of the ‘Guidelines for Applicants' for additional criteria.Equality, diversity and inclusionBritish Council are committed to equality, diversity, and inclusion, and to continuing to attract and nurture talented people from the widest pool to remain internationally competitive in research and innovation. We believe that everyone has a right to be treated with dignity and respect, and to be provided with equal opportunities to flourish and succeed. This includes avoidance of bias due to disability, gender reassignment, marriage or civil partnership status, pregnancy and maternity, race, religion or belief, sexual orientation, sex (gender), and age.The British Council is committed to equal opportunities and diversity and will consider, on a case-by-case basis, requests for support to encourage underrepresented groups to engage in ISPF activity, so long as sufficient justification is provided. Action RequiredApplication deadline: 6 October 2024, 12:00 mid-day BSTTo apply: https://grants.britishcouncil.org/Select ISPF Research Empowerment Programme application form to start application.The British Council approach to contracting can be found here: https://www.britishcouncil.org/sites/default/files/ispf_grant_base_template.docxThe list of UK eligible research organisations is at: https://www.britishcouncil.org/sites/default/files/eligible_uk_research_organisations_0.pdfIf you require an alternative formal for reasons of accessibility please contact us at: ISPF-IREP@britishcouncil.org

The IEEE Malaysia Section Control Systems Chapter is proud to organize the 2024 12th IEEE Conference on Systems, Process & Control (ICSPC 2024). ICSPC 2024 will be held in Malacca, Malaysia on the 6-7th of December 2024. Link: https://sites.google.com/view/icspcAreas of InterestAutomation & Robotics System Identification Modeling & Simulation Process & Control Intelligent Systems Optimization of Systems Nonlinear Systems Digital Control Advancements in Computation Algorithms for Control Optimal and Robust Control Emerging Areas Control Applications in Other Areas Important DatesSubmission Deadline: 31st July 2024Notification Deadline: 1 September 2024Registration & Camera-Ready Deadline: 1 November 2024Conference Date: 6-7th December 2024IndexingThrough our selective review process and meticulous quality control measures, the ICSPC conference series has an excellent track record of being indexed in IEEE Xplore and Scopus since 2013.

Accelerating uptake through open proposals for advanced SME innovation (HORIZON-CL3-2024-SSRI-01-02)Programme: Horizon Europe Framework Programme (HORIZON)Opening date: 27 June 2024Deadline date: 20 November 2024 17:00:00 Brussels timeTopic descriptionExpectedOutcome:Projects’ results are expected to contribute to some or all of the following outcomes:Development of a mature technological solution addressing EU security policy priorities in the areas addressed by the Cluster 3 work programme;Facilitated access to civil security market for small innovators;Improved cooperation between public buyers and small supply market actors for a swifter uptake of innovation in response to short to mid-term needs;Stronger partnerships between small and medium EU security industry and technology actors to ensure the sustainability of the EU innovation capacity in the civil security domain and reduce technological dependencies from non-EU suppliers in critical security areas.Scope:Europe’s 25 million small and medium enterprises (SMEs) are the backbone of the EU economy. SMEs can bring innovation to societal challenges, including the security of EU citizens. Innovative SMEs and high-tech start-ups can transform and modernise EU security capabilities.However, despite the innovation capacity of EU SMEs, these often experience difficulties in finding their way to the public markets. These include red tape in public contracts, access to new customers, access to finance, industrial competition and IP valorisation. These difficulties are exacerbated in markets that show restrictions of different kind, as it is the case of security.Knowing that SMEs require additional support to reach the security buyers and that the collaboration opportunities offered by the projects of the Pillar II of Horizon Europe can be a catalyst for uptake, this topic aims to offer a collaborative environment for small and medium innovators to tailor their innovations to the specific needs of civil security end-users.Applicants are invited to submit proposals for technology development along with the following principles:Focus on mature technological solutions addressing EU security policy priorities in the areas addressed by the Cluster 3 work programme.Not overlapping with the scope of the topics included in the other destinations of this work programme.Fostering collaboration between SMEs from different Member States and Associated Countries.Involving security end-users in the role of validator and potential first-adopter of the proposed innovations.Fostering collaboration schemes between small companies and research and technology organisations and/or big industrial players aimed at fostering innovative technology transfer or creating innovative business models that facilitate access to market and strengthen the innovation capacity of EU SMEs and start-ups in the domain of civil security.Examples of activities to plan in the proposed projects include, but are not limited to: assimilating market requirements; facilitating access to additional funding; approaching potential public buyers; assess competitive landscape; supporting in innovation management (methodological and process innovation, business model innovation, market innovation); assist in IP management and exploitation; provide guidance for expansion to future markets, etc.The participation of research and technology organisations should not focus on own technology development but on supporting the small industrial players in accelerating the technology transfer of innovative security solutions for their further development and production.It is encouraged that one SME takes the coordinator role[1]. Exceptions to this requirement should be duly justified.The projects should have a maximum estimated duration of 2 years.Under this topic, projects should address the one of the following areas of Fighting Crime and Terrorism (FCT, Option A), Disaster-Resilient Society (DRS, Option B), Resilient Infrastructure (INFRA, Option C) Border Management (BM, Option D). Some examples of domains that could be addressed:.Option A: Some examples of domains that could be addressed under the FCT area are: (indicative and non-exhaustive): mobile forensics; deepfake detection; detection of counterfeiting (fake items, fake currency bills) or of falsified/forged documents (passports, ID cards); detection and countering of advanced forms of malware, as well as non-cash payment frauds and other cyber-scams.Option B: Some examples of domains that could be addressed under the DRS area are (indicative and non-exhaustive): data and satellite/remote sensing information exploitation, positioning and localisation tracking and tracing, monitoring and surveillance for disaster prevention.Option C: some examples of domains that could be addressed under the INFRA area are: (indicative and non-exhaustive): physical access control, autonomous systems used for infrastructure protection, positioning and localisation tracking and tracing, monitoring and surveillance of environments and activities.Option D: under the BM area are (indicative and non-exhaustive): facilitated border checks; secure documents and identity management for border crossings; border surveillance; detection of drugs, explosives, Chemical, Biological, Radiological and Nuclear (CBRN), weapons and/or other dangerous materials in customs environment; detection of stolen, smuggled, illicit or illegal goods (cigarettes, art, cultural goods, wildlife) in a customs environmentIn this topic, projects should address the EU security policy priorities in the areas addressed by the Cluster 3 work programme.In this topic, the integration of the gender dimension (sex and gender analysis) in research and innovation content should be addressed only if relevant in relation to the objectives of the research effort.Specific Topic Conditions:Activities are expected to achieve TRL 6-7 by the end of the project – see General Annex B.[1]If a MIDCAP is included in the proposal, it could also take the role of coordinator.Eligible countries: described in Annex B of the Work Programme General AnnexesA number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon Europe projects. See the information in the Horizon Europe Programme Guide.Other eligibility conditions: described in Annex B of the Work Programme General AnnexesThe following additional eligibility conditions apply:Consortia must include, as beneficiaries:- A minimum of three (3) to a maximum of seven (7) partners.- At least 2 SMEs from 2 different Member States.- At least 1 end-user organisation in the areas addressed by the proposal, namely one of the following options:Option A "Fighting Organised Crime and Terrorism’’Option B ‘"Disaster-Resilient Society’’Option C "Resilient Infrastructure’’ andOption D ‘"Border Management’’, provided that the applications attain all thresholds.- At least 2 Member States must be represented in the consortium.Participation of non-SME industries and Research and Technology Organisations (RTOs) is not excluded, but it must be limited to 15% of the budget.At least 50% of the budget must be allocated to SMEs.The following exceptions apply: subject to restrictions for the protection of European communication networks.

Application Deadline: 20 Aug 2024 - 14:00 (Europe/Warsaw)Website for additional job detailshttps://al.edu.pl/pracownicy/oferty-pracy/aktualne Offer DescriptionPosition of an assistant professor at the Faculty of Information and Technology Sciences. The area of scientific research is related to technical computer science and telecommunications, teaching classes in the field of computer science, and classes in the field of computer science for first and second cycle studies.Where to applyE-mail: kadry@al.edu.plRequirementsResearch Field: Computer scienceEducation Level: PhD or equivalentSkills/QualificationsMeeting the requirements specified in the Act of July 20, 2018, Law on Higher Education and Science (consolidated text: Journal of Laws of 2023, item 742, as amended).Knowledge of Polish and English languages sufficient to enable conducting teaching classes.At least a PhD in engineering and technical sciences in the discipline of technical computer science and telecommunications.At least 5 years of teaching experience.Significant scientific achievements in the discipline of technical computer science and telecommunications or completed domestic or foreign scientific internships of at least one year.Specific RequirementsExperience in preparing and implementing research and implementation projects.Practical experience gained outside higher education.Teaching experience in broadly understood subjects in computer science, including: database systems, database design, database protection, database techniques, database applications, and/or related ones.Languages: ENGLISHLevel: GoodLanguages: POLISHLevel: GoodResearch Field: Computer scienceEngineeringTechnologyYears of Research Experience: 4 - 10Additional InformationBenefitsProfessional research and teaching development.Research and teaching infrastructure.Participation in grants, projects, programs, e.g., Erasmus+.Eligibility criteriasubmission of all required documentsSelection processApplicationHistory of previous employment (including information on scientific, teaching, organizational, and practical achievements, professional achievements obtained outside higher education)Questionnaire for a person applying for employment containing the information referred to in Art. 22 1 § 1 of the Act of June 26, 1974 Labor Code (i.e., Journal of Laws of 2018, item 917, as amended)Copies of documents confirming education and professional qualificationsCopies of other documents confirming that the candidate meets the competition requirementsA declaration by the candidate stating that in the event of full-time employment, the University of Łomża will be the primary place of workA declaration of consent to the processing of personal data contained in a cover letter, CV, or other attached documents - if this data includes special categories of data referred to in Art. 9 section 1 GDPR or if the data is other than that included in the personal questionnaire and is made available on the applicant's own initiative (Article 22 1a § 1 and § 3 and Art. 22 1b § 1 of the Labor Code)Consenting to the processing of personal data for the purpose of using them in subsequent recruitment processes - if there is a wish to participate in subsequent recruitment processes conducted by the University of Łomża for a period of 12 months from the end of the current recruitment process.The applicant may also submit other documents or provide information that, in his/her opinion, may be useful in deciding the competition.Website for additional job detailshttps://al.edu.pl/pracownicy/oferty-pracy/aktualneWork Location(s)Number of offers available: 1Country: Poland