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Energy Informaticshttps://www.scimagojr.com/journalsearch.php?q=21101048366&tip=sid&clean=0Indexing servicesThe full text of all articles is deposited in digital archives around the world to guarantee long-term digital preservation. You can also access all articles published by SpringerOpen on SpringerLink. We are working closely with Web of Science (Clarivate Analytics) to ensure that articles published in Energy Informatics will be available in their databases when appropriate. The journal is currently indexed in the following databases:SCOPUSEi CompendexDOAJInstitute of Scientific and Technical Information of ChinaNaverProQuestOCLC WorldCat Discovery ServiceEBSCOGoogle Scholar Article processing charges (APC)Authors who publish open access in Energy Informatics are required to pay an article processing charge (APC). The APC price will be determined from the date on which the article is accepted for publication.The current APC, subject to VAT or local taxes where applicable, is: £940.00/$1490.00/€1190.00Visit our open access support portal and our Journal Pricing FAQs for further information. Aims and scopeThis journal aims to provide a unique platform for researchers and practitioners of energy informatics in various scientific, technological, engineering and social fields to disseminate original research on the application of digital technology and information management theory and practice to facilitate the global transition towards sustainable and resilient energy systems.The journal publishes essential, peer-reviewed, interdisciplinary research addressing scientific, engineering and business topics related to energy, including but not limited to:Innovation in data-driven energy services and business modelsBig Data-driven smart Energy Management SystemsManagement of data and information flow in the Digital Energy System 4.0Data analytics for energy-cost efficient system operationPrivacy issues in energy data managementDigitalization of energy production, delivery and consumption, including policy and strategyDigital technologies for enabling energy-aware user behaviorContextual computing for supporting human and energy system interactionsEnergy-efficient Cloud Computing and data centersCyber security issues for safe and reliable Smart grid operationSocial media’s role in the transition towards sustainable energyApplication of Artificial Intelligence and Agent-based technology in smart energy systemsModel-based and data-driven energy forecasting, including energy production and useManagement of public and private procurement of digital energy technologySocioeconomic opportunities and barriers for adoption of digital energy technologiesSociotechnical aspects related to design and implementation of smart energy systemsInnovation management in smart energy business eco-systemsDigital entrepreneurship in emerging energy marketsSmart grid communication architectures and protocols for improving grid resiliency, including graceful degradation and self-healingDemand-side management, including demand response, dynamic pricing and incentive designMicrogrid and distributed generation management and controlMonitoring and control of Smart Buildings, including Smart Grid interoperability

A significant step forward in developing technology to protect children's health in the ASEAN region, PMU-B joins forces with Mahidol University and partner countries, including Australia, Indonesia, Cambodia, and Lao PDR. Led by Assoc. Prof. Dr. Kraichat Tantrakarnapa, the international initiative aims to develop the latest air quality modeling system capable of accurately analyzing and forecasting the impacts of air pollution over a 5-10 year horizon.This innovation not only supports strategic planning and policy formulation but also drives public policies to mitigate the impacts of air pollution, particularly on children, a highly vulnerable group. Additionally, it provides early warnings to help the public prepare for air pollution crises in a timely manner. Equipped with monitoring and evaluation systems, this initiative will enhance the efficiency of addressing air pollution in the region.Curious about how this technology can safeguard the health of you and your family?Stay updated with the latest research and insights from PMU-B:📱 Facebook: PMU-B Thailand🌐 https://www.pmu-hr.or.th/

Programme OverviewPROGRAMME FEE: US$5,000STARTS ON: 31 March 2025DURATION: 20 weeks (4 - 6 Hours/ week)This new year, invest in a learning journey to upskill and gain a competitive edge. Emeritus is collaborating with NUS School of Computing to help you unlock transformative career growth. Enrol before 24 January 2025 using this code: APAC200ALL8364 and get USD200 programme fee benefit. Limited seats to success available. Claim yours now.Application fees: USD60Read more at https://cmu.to/A8Tt0With organisations and consumers being driven by technological innovations, such as Artificial Intelligence, Automation and Data Analytics, organisations are looking for professionals with a deep understanding of these innovations who can foster significant organisational impact. This is the time to boost your career. The NUS School of Computing Technology Leadership and Innovation Programme caters to individuals aspiring to drive strategic transformation in AI, digitalisation and innovation domains. Through the carefully curated modules and capstone project, you develop the requisite mindset and skills to implement impactful strategies using global technological innovations .Programme Modules (Module 1-18)Module 1: Overview of Digital TransformationModule 2: Digital Business ModelsModule 3: Strategy Formulation and Process of Digital TransformationModule 4: Digital Transformation Action PlanModule 5: Role of Data and AnalyticsModule 6: ML-Deep Learning and Neural NetworkModule 7: Robotics and Reinforcement Learning Module 8: Generative AIModule 9: AI and Business ApplicationModule 10: CybersecurityModule 11: Other Technologies: IoT, AR/VRModule 12: Innovation Strategy to Address Digital DisruptionModule 13: System Thinking and Agile MethodologiesModule 14: Implementing Digital InnovationModule 15: Building Team and Digital Culture for TransformationModule 16: Managing Digital Complexities and Change ManagementModule 17: Leading through ESG ChallengeModule 18: Technology and Innovation: Security and Governance

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…

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.

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

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.

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: 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)

AboutThe current Expression of Interest is intended for searching post-doctoral candidates with interest in applying for the Marie Skłodowska-Curie GLOBAL Postdoctoral Fellowship 2024 (HORIZON-TMA-MSCA-PF-GF) at AO Research Institute Davos (ARI, Switzerland) as Host Institution for the outgoing phase (12-24 months), followed by a mandatory 12-month return phase to a host institution based in an EU Member state / Associated Country.NOTE: Being Switzerland currently classified as “not associated third country”, it is NOT possible to apply for MSCA European Postdoctoral Fellowships with a Swiss host. It is only possible to apply for GLOBAL Fellowship with the Swiss host in the outgoing phase.Call deadline is 11 September 2024.Potential candidates must comply with the following eligibility criteria of the MSCA Postdoctoral Fellowship callHorizon Europe MSCA - How to apply - European Commission (europa.eu)To be National or long-term resident (5 consecutive years spent in an EU Member state / Associated Country),To be in possession of the PhD at the call deadline,To have a maximum of 8 years of research experience at the call deadline (few exceptions are possible),To comply with the mobility rule: do not have resided or carried out the main activity (work or studies) in the country of the Host Institute during the outgoing phase (Switzerland) for more than 12 months in the 3 years before the call deadline.In case of resubmission, to have not received in the previous application a lower score than 70%.Description of the host organization and research groupThe AO Foundation is a medically guided, not-for-profit organization, a global network of surgeons, and the premier education, innovation, and research organization for the surgical treatment of trauma and musculoskeletal disorders.AO Research Institute Davos (ARI) is the research arm of AO Foundation; its mission is promoting excellence in patient care and outcomes in trauma and musculoskeletal disorders. ARI's scientific activities are multidisciplinary and with a very strong approach to basic and translational research, focused on clinical applications and realized through a cooperation network with many industrial partners. ARI has a vast experience in managing and supervising research projects with a portfolio of international (H2020, Horizon Europe) and national (SNSF) competitive projects. In addition, ARI is at the forefront of high-quality international conferences, such as EORS 2010, TERMIS 2017, ESB 2023, and the next EORS 2025. ARI's commitment in fulfilling the highest standards in research is demonstrated by international standard accreditations. The entire ARI is certified according to ISO 9001:2015. The accreditation includes ARI's preclinical facility, which can perform GLP-like studies. Additionally, the Biomechanical Services and Concept Development are certified as medical device manufacturer according to ISO 13485:2016. Also, ARI's preclinical facility fulfils the highest standard of care for animals (AAALAC accreditation).ARI comprises of 3 Research Programmes:Regenerative Orthopaedics (RO) is a multidisciplinary team focusing on a holistic approach to tissue engineering for repair and regeneration of the musculoskeletal system. RO Program has established research activities in the field of bone, cartilage, and intervertebral disc, with a major focus on regenerative medicine, 3D printing, cell and gene therapy and fracture-related infections.The RO comprises of 5 focus areas: Disc & Cartilage Biology area has tissue-specific bioreactors, namely for intervertebral disc and articular joints, that are instrumental for in vitro testing and for investigating the effect of mechano-regulation on cell behaviour.Bone Biology area aims to study the cellular mechanisms involved in the different phases of bone healing and their interplay for a better understanding and further monitoring of the process.Biomedical Materials area develops responsive materials for orthopaedic regeneration with a strong expertise on biopolymers and nanocomposites. Additive manufacturing technologies are used for both basic understanding of biomaterials and cells interaction, and for translational research in the orthopaedic field.Progenitor Biology & Mechanoregulation area investigates the role of multiple stimuli, such as mechanical stimulation, growth factors and gene therapy in the progression of stem cell differentiation.Infection Biology area performs research into clinically relevant preclinical models of fracture related infection including both in vitro and in vivo models, which are used to investigate novel anti-infective interventions such as implant coatings, novel antimicrobials and provide improved understanding of host-pathogen interactions.Sound Guided Tissue Regeneration activities are articulated around the translation of innovative biofabrication technologies for the repair of musculoskeletal disorders and development of cutting-edge 3D in vitro models for drug screening and personalized medicine. The team use sound wave-based approach and other external fields (e.g. light, magnetic, electric) for contactless cell assembly and stimulation. ARI supported the startup Mimix Biotherapeutics which launched the first acoustic bioprinter in 2021. Biomedical Development (BD) offers extensive know-how, expertise, and experience in the fields of biomechanical testing and computational analyses to advance patient care.Preclinical Service (PCF) offers strong expertise and applies animal models to answer questions from academic researchers, clinicians and industrial partners to improve fracture fixation devices, investigate new (bio)-materials and technologies as well as and surgical procedures. Detailed analysis, both from in vitro and in vivo studies is also provided by the Tissue Morphology facility, which is the institutes' core facility for histology and microscopy.How to apply?Interested candidates should send their CV and a motivation letter to Nunzia Di Luise, Scientific Project Officer (nunzia.diluise@aofoundation.org).More Informationhttps://www.aofoundation.org/what-we-do/research-innovation/about

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…