News & Activities

Call for Papers2025 IEEE 2nd International Conference on Deep Learning and Computer VisionJinan|ChinaApr. 18-21, 2025Full paper submission Deadline: Feb. 10th, 2025Acceptance Notification: Mar. 26th, 2025Registration Deadline: Apr. 11th , 2025Conference Date: Apr. 18-21st, 2025Link: https://www.icdlcv.orgContact: icdlcv@126.comYou are kindly encouraged to contribute to and help shape the conference through submissions of your research abstracts and papers to DLCV 2025 conference. Topics of interest for submission include:Track 1: Deep LearningMachine LearningUnsupervised LearningDeep Reinforcement LearningConvolutional Neural Networks (CNN)Deep Hierarchical Networks (DHN)Recurrent Neural Network (RNN)Neuro-Fuzzy AlgorithmsAutoencodersGraph Representation LearningClustering, Classification and RegressionEvolutionary MethodsAutonomic ComputingUser ModelingInformation Retrieval and ReuseQuestion-AnsweringCognitive ArchitecturesDeep Learning Approach in Recommendation SystemsTrack 2: Computer VisionBig data and computer visionBiomedical image analysisImage and video codingImage and video retrievalRemote sensing imageComputational photographyOptimization and method of studySensor and displayData collection and performance analysisComputer vision of deep learningDocument image analysisCharacter identificationAnalysis, behavior identityVisual modelsVideo analysisMultimodal information processingVisual and languageMotion and tracking3D reconstructionHuman-computer interaction

Call for Expression of Interest for MSCA Postdoctoral fellowships at UNIGE – N. 7 Optimization and machine learningHosting InformationOffer Deadline: Mon, 5 May 2025 - 13:00Organisation / Company: University of GenoaLink: https://euraxess.ec.europa.eu/jobs/hosting/call-expression-interest-msca-postdoctoral-fellowships-unige-n-7-optimization-andUniversity of Genoa, UNIGE, located in Genoa, ITALY, welcomes postdoctoral researchers of any nationality, with an excellent track record, to apply to the European Commission Marie Sklodowska-Curie (MSCA) Postdoctoral Fellowships 2025. Our University has been beneficiary of several MSCA-PF in Horizon 2020 and Horizon Europe. The Marie Sklodowska Curie (MSCA) Postdoctoral Fellowship is one of funding scheme of the European Commission’s Horizon Europe Research & Innovation programme, dedicated to excellent research promoting international mobility, as well as interdisciplinary and intersectoral exchanges. MSCA fellowship grant provides a competitive salary plus mobility and family allowances if applicable, as well as a contribution to cover research, training and networking costs. The research projects will have 2- or 3-years duration. Selected candidates will be provided with special support for proposal writing and development. The University of Genoa will organize in May the fifth edition of the Masterclass MSCA@UniGe. Selectedcandidate researchers will have the opportunity to attend a 2-days online intensive training and coaching course on how to write a successful proposal. This masterclass is a pathway of support to candidates and their supervisors in preparing project proposal, including prescreening activity of the draft proposals and the organisation of dedicated B2B meetings, by the European Research Office of UniGe, National Contact Point and other experts.The masterclass will take place on May/June2025.More information: Masterclass MSCA@UniGeMSCA domain: Mathematics (MAT)Research Project DescriptionI work in the field of optimization for machine learning and inverse problems. My main interest is the development and the application of mathematical optimization techniques to enhance the performance, efficiency, and interpretability of models and algorithms. Optimization plays a crucial role in the of training machine learning models. The goal is to minimize an empirical error, which is an approximation of the true objective function, perturbed by stochastic noise. In modern applications, the problem is often high dimensional, and most successful optimization methods are based on simple iterative procedures, such as gradient descent or stochastic gradient descent. I am interested in many challenges related to the behavior of gradient based methods such as: convergence in the nonconvex setting, implicit regularization properties, scalable, adaptive, asynchronous and distributed implementations.Research GroupMaLGa is a joint research center between computer science and mathematics. Its activities span a wide range of diverse but connected topics, including Computer Vision, Computational Harmonic Analysis, Data Science, Statistical Learning and Optimization.ApplicationAn expression of interest shall be sent to prof. Silvia Villa (silvia.villa@unige.it, Orcid ID: 0000-0002-6232-5631) within 5th May 2025.Your file should contain the following elements:A short CVA one-page research proposalOne/two letters of reference (optional)For more information, please contact prof. Silvia Villa (silvia.villa@unige.it).EligibilityFor MSCA-PF 25 call (opening foreseen on 9th April 2025), at the deadline for the submission of proposals (10th September 2025) postdoctoral candidates shall have a maximum of 8 years of postdoctoral research experience and must not have resided or carried out their main activities in Italy (for European Fellowship) or in the Third Country of the outgoing phase (for Global Fellowship) for more than 12 months in the 3 years immediately prior to the abovementioned deadline. More info on MSCA PF are available at the following link: https://marie-sklodowska-curie-actions.ec.europa.eu/actions/postdoctora…

Introduction to Artificial Intelligence with PythonHarvard School of Engineering and Applied SciencesCourse description Link: https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-pythonWhat you'll learnGraph search algorithmsReinforcement learningMachine learningArtificial intelligence principlesHow to design intelligent systemsHow to use AI in Python programs CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.Enroll now to gain expertise in one of the fastest-growing domains of computer science from the creators of one of the most popular computer science courses ever, CS50. You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work.

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

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

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…