News & Activities

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

Call for papersLink: https://link.springer.com/journal/12008Submission deadline: 28 February 2025Submission to first decision (median): 21 daysThe complexity of industrial processes and the availability of enabling technologies require innovative design methods and tools for energy efficiency and sustainability. Indeed, the synergistic use of technologies like digital modelling, reverse engineering, virtual and augmented reality, and AI opens new frontiers, enhancing product complexity and optimizing the design process. This interdisciplinary approach addresses modern industry challenges, integrating several perspectives for comprehensive, sustainable and highly innovative solutions.The aim of this Special Issue is to provide insights into the various aspects of scientific and technological progress related to design methods and tools in industrial engineering, as well as their use in other sectors such as medicine, cultural heritage, and nautical engineering.The main topics of the Special Issue topics include: Virtual and augmented reality; Engineering methods in medicine; Design for Additive Manufacturing; Product Design and Engineering; Integrated methods for product and process Design, Simulation, Analysis and Optimization; Design for Sustainability and EcoDesign; Virtual Prototyping and Digital Twin.

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/

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.

Application deadline: 2025-06-05 23:59 (Europe/Luxembourg) 2025-06-05 23:59 (CET)Location: Luxembourg, LuxembourgAbout the SnT...SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.The University of Luxembourg seeks to hire a highly motivated and outstanding researcher in the area of Optical communication at its Interdisciplinary Centre for Security, Reliability, and Trust (SnT). SnT is a centre carrying out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services. SnT is active in several international research projects funded by the European Space Agency and the EU7th framework program. For further information, you may check: www.securityandtrust.lu, and https://www.uni.lu/snt-en/research-groups/SIGCOM/The Centre is rapidly expanding its research activities and is seeking a highly motivated Researcher who wishes to contribute to its partnership and research projects. The successful candidate will perform theoretical and experimental research on Optical Systems applied for future communication, imaging, and radar systems.We're looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you've come to the right place!Your Role...The successful candidate will join a strong and motivated research team led by Prof. Symeon Chatzinotas to work on one or more of the following areas:Research on Optical communication particularly:Free space optics (Horizontal and slant path)Intersatellite communicationOptical feeder linksVisible light communication.Underwater optical communicationOptical camera communicationOptical beam generationInternet-of-ThingsOptical networksVehicular communicationThe position holder will be required to perform the following tasks:Integrate with the SIGCOM research group and contribute to the SIGCOM on-going research projects related to optical communicationsDevelop research around optical-based communications, including channel modeling, optimization of transmission and reception, network-based design, and evaluationDesign and develop algorithms able to provide a good performance-complexity trade-off for the identified scenarios and use casesCompare with state-of-the-art and conventional solutions via numerical simulations and/or HW/chipset validationDisseminating results through scientific publications and conferencesAssisting in the organization of relevant workshops and demosPreparing new research proposals to attract new projectsProviding assistance in the supervision of PhD studentsPlease contact us at Dr. Eva Lagunas (), Dr. Mert Bayraktar ().Your Profile...Qualification: The candidate should possess a Ph.D. degree in Engineering, Computer Science, Applied Mathematics or affine. With a proven record of accomplishment in the area of Optical communication.Experience: The ideal candidate should have some knowledge and experience in a number of the following topics:A solid mathematical backgroundActive and passive optical components(MUX/DEMUX, Switches, transceivers, SFPs, combiner, etc.)Experience with optical lab equipment(lens, collimator, beam profiler, CCD camera, etc.)Knowledge of Adaptive optics and optical channel modelingSoftware Development using C++, Python, MATLABExperience with 5G/6G communication systems is desirableExperience with non-terrestrial networks (NTNs) is considered a plus but it is not requiredInternational experience is desirableSound publication track record in relevant international conferences and top journals (at least one IEEE Transaction publication is mandatory)Experience of working with industrial projects or public funded research projects is highly desirableHighly committed, excellent team-worker, and strong critical thinking skillsLanguage Skills: Fluent written and verbal communication skills in English are required.Here's what awaits you at SnT...Exciting infrastructures and unique labs. At SnT's two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even betterThe right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 55 industry partnersBe part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and moreFind out more about us!How to apply...Applications should include:Full CV, including a list of publications and contact details of two refereesTranscript of all modules and results from university-level coursesResearch statement and topics of particular interest to the candidate (300 words)All qualified individuals are encouraged to applyEarly application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.General information:Contract Type: Fixed Term Contract 24 Month (extendable)Work Hours: Full Time 40.0 Hours per WeekLocation: KirchbergJob Reference: UOL06505The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 83099 (full time)

Deadline: 22 May 2024Research Field: Professions and applied sciencesFunding Type: FundingMore Information: https://www.scientifyresearch.org/grant/career-development-award-basic-biological-science-italy/Project Key Words: Congenital heart disease, phonocardiogram, Artificial IntelligencePost summaryOur project focuses on harnessing the power of Artificial Intelligence (AI) to analyze phonocardiogram (PCG) data for the early detection of congenital heart disease (CHD). By developing advanced AI algorithms, we aim to revolutionize the way CHD is diagnosed and managed, leading to better outcomes for patients.Person specificationQualificationsEssentialHonours Degree (minimum 2:1) in biomedical engineering, computer science, electrical/ electronics engineering, or a related field.Strong background in signal processing and machine learning.DesirableProficiency in programming languages such as Python, R or MATLAB.Practical experience in simulation environments and Machine Learning libraries.Experience with cardiovascular physiology or cardiology research.Experience with GUI development and web applications. Knowledge & Experience EssentialExperience with machine learning techniques, including deep learning and neural networks.Strong analytical and problem solving skills. DesirablePrevious research experience in healthcare or medical signal processing projects.Experience with data visualization tools.Familiarity with phonocardiogram data analysis and interpretation. Skills & CompetenciesEssentialApplicants whose first language is not English must demonstrate on application that they meet SETU’s English language requirements and provide all necessary documentation. See Page 7 of the Code of PracticeIn order to be shortlisted for interview, you must meet the SETU English speaking requirements so please provide evidence in your application. DesirableExcellent written and verbal communication skills.Willingness and motivation to learn and experience new theoretical and technological areas.

Deadline 28 April 2024Job DescriptionWhat we offerA monthly stipend ranging between 6194 and 6808 Swiss Francs per month (net of tax).Coverage by CERN's comprehensive health scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.Depending on your individual circumstances: installation grant; family, child and infant allowances; payment of travel expenses at the beginning and end of contract.30 days of paid leave per year.On-the-job and formal training at CERN as well as in-house language courses for English and/or French. Your responsibilitiesThe objective of the project is the introduction of novel selections in the ATLAS trigger to enhance selecting events in challenging parts of the parameter space, including exotic signatures and rare Standard Model processes, and to improve the robustness of the muon trigger. Together with NexGen doctoral students, the selected candidate will work on either trigger menu development or design new algorithms for the Level-0 Muon trigger.In the trigger menu activity area, she or he will develop the necessary tools to advance studies of the HL-LHC trigger menu. The selected candidate will more specifically develop simulation of trigger selections and tools for the estimation of trigger rates using existing data as well as Monte Carlo simulations generated in HL-LHC conditions. She or he will work on identification of poorly covered topologies and develop new algorithms (including with use of ML/AI) and new triggering approaches in order to specifically target those, ensuring that they fit into the trigger menu constraints in terms of both processing resources and allocated rate.In the Level-0 Muon activity area, the selected candidate will develop new algorithms to improve the robustness of the Level-0 Muon trigger against changing detector conditions and to enhance triggering on challenging signatures such as exotic long-lived particles. She or he will identify detector scenarios and challenging trigger signatures and develop new algorithms to target them using tools such as simulations. New algorithms include the use of AI/ML. The selected candidate will work in close collaboration with ATLAS trigger experts and the TDAQ upgrade community. Up to three positions will be filled as part of the Next Generation Trigger program (https://cern.ch/nextgen-proposal).Your profileSkills and/or knowledgeRequired skills:Strong background in collider physicsStrong software skillsExcellent communication and presentation skillsExcellent knowledge of oral and written englishExperience or desire to supervise studentsWould be an asset:Experience in AI/MLExperience with trigger systemsTrigger menu developmentsExperience with FPGAs and digital electronicsEligibility criteria:You are a national of a CERN Member or Associate Member State. A limited number of positions are also available to candidates from Non-Member States.You have a professional background in Particle physics / computer science (or a related field) and have either:a Master's degree with 2 to 6 years of post-graduation professional experience;or a PhD with no more than 3 years of post-graduation professional experience.You have never had a CERN fellow or graduate contract before.More Informationhttps://jobs.smartrecruiters.com/CERN/743999979866632-atlas-trigger-reconstruction-using-ai-ml-ep-adt-2024-54-grap-https://jobs.smartrecruiters.com/CERN/743999979866632-atlas-trigger-reconstruct…