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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 PapersVenue: SingaporeImportant DatesSubmission Deadline: January 20, 2025Notification Deadline: February 10, 2025Registration Deadline: February 20, 2025Link: https://www.icgea.org/index.htmlSubmitted papers will be reviewed by Technical Program Committee and sub-reviewers. All accepted (Registered & Presented) papers of ICGEA 2025 will be submitted for inclusion into IEEE Xplore, indexed by EI Compendex & Scopus, etc. Energy is inarguably one of the most pressing global issues faced by humanity in this century, and a reliable and sustainable energy system is crucial to achieve a more sustainable future. The world's energy consumption is expected to nearly double by 2050, with most of the growth happened in countries outside of the OECD. Sustainable development requires consistent access to clean, affordable energy to support economic activity, improve national development, and improve human wellbeing. In addition, there is a strong link between the energy sector and global climate change due to the impact of CO2 arising from burning the fossil fuels. Study shows that carbon emissions hit the peak in 2018, mainly from the carbon-rich fossil fuels that generated nearly 85% of the world’s energy. Taking the above-mentioned as a backdrop, energy is certainly a complex technology involving multidisciplinary research, development, demonstration and deployment in energy systems, grid systems and applications, especially in the energy transition era.In anticipation, the combination of rising populations and living standards of human society in the next 50 years will demand for the development of massively scaled sustainable energy and low-carbon electricity generation solutions with an objective of battling the climate change. These challenges, albeit an unparalleled threat to the business-as-usual, also represent a remarkable opportunity for research, innovation, and green growth.With the success of the previous 8 year, ICGEA came to its 9th edition in 2025. It is proud to announce that 2025 The 9th International Conference on Green Energy and Applications will be held during March 7-9, 2025 in Singapore, which is sponsored by Singapore Institute of Electronics. The theme of ICGEA 2025 is to bridge and connect presenters and audience with different disciplines and background as well as from different geographical locations. The most interesting and disruptive technology often happened at edges and boundaries of different disciplines, and so the aim of the conference is to bring these brains together to synthesize the ideas and knowledge from different sources to achieve the energy innovation.ICGEA 2025 scope covers, but not limited to, the following topics:• Advance biofuel for a sustainable heavy-duty transport and aviation• Bioenergy supply management strategies• Biofuels in developing economies• Biomass• Carbon and Methane capture, storage and utilization• Electric Power Generation, Transmission and Distribution• Energy and Health• Energy and Water• Energy efficiency in building designs and management• Energy in food production and processing• Energy storage and cyber security for smart grids• FACTS and HVDC controllers• Geothermal energy• Green Buildings and Infrastructures• Green energy and energy access• Green energy and social benefits• Green Energy Education and Training• Green Energy in Transport• Green Industrial Technology• Green Policies and Programmes• Green Power• Greening the Fossil Fuels• Greening Urbanization and Urban Settlements• Hybrid vehicles and its integration• Hydropower• Income generation with green energy• Increasing energy access with clean resources• Integration of renewable energy sources in buildings• Low carbon city scenarios, plans and actions• Mainstreaming low-carbon innovations• MDGs and Green Energy• Microgrid and active distribution network management• National bioenergy programmes: economic, political and social issues• Natural gas research and development• Power system economics, operation and control• Protection, reliability, and restructuring of power systems• Rapid urbanization and energy-environmental implications• Regulatory policies and program for implementation and control• Renewable Energy for Power and Heat• Role and future of electric vehicles in smart grids• Rural Development through Green Energy• Settlement forms and functions and energy• Smart Grid and Renewable Energy Integration• Solar thermal and photovoltaics• Sustainable coal use and clean coal technologies• Sustainable materials for buildings• Transformation of power grids to smart grids• Wind energy

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 ParticipationThe Online Training on UBC Mechanisms and Holistic Career ServicesSpeakers from EU partner in the INNO4Tourism Project University of Macedonia, Thessaloniki, GreeceWebsite: https://inno4tourism.euE-mail: cmu.inno4tourism@gmail.comTraining Programme OutlineModule 1 - UBC MechanismsModule 2 - Holistic Career ServicesModule 3 - Establishing UBC and Career Services: A Guide for HEIs On-siteChiang Mai University, Chiang Mai, ThailandOnlineZoom ID: <To be created by PSU or UOM>Passcode: <To be created by PSU or UOM> Place: Chiang Mai University, ThailandASTRA R&D Innovation & Consulting Hub 3rd floor, CAMT Building, College of Arts, Media and Technology, Chiang Mai University

Second call for applications now open!Deadline: 23 August 2024Organisation Country: SpainIDEAL PhD programme is a new doctoral fellowship programme promoted by IMDEA Nanociencia that aims to attract 12 talented researchers in two open calls to undertake excellent research in any of the programmes at the Institute:P1 Nanotechnology for energy harvestingP2 Quantum materials at the nanoscaleP3 Nanotechnology for healthcareP4 Nanomagnetism for Information and Communication TechnologiesP5 Ultrafast phenomena at the nanoscaleP6 Nanotechnology for Critical Raw Materials and SustainabilityWithin the IDEAL PhD programme, we aim to boost the careers of talented researchers offering them an innovative, intersectoral and truly interdisciplinary training in nanoscience and nanotechnology. IMDEA Nano is committed to providing a pool of researchers with the skills and knowledge needed to tackle the next challenges in the field nanoscience.Doctoral candidates will receive a well-balanced training and quality mentoring from an experienced scientific and management team as well as access to an infrastructure of the highest level for the pursuit of their projects in nanoscience and nanotechnology. The duration of the fellowships is 42 months.Application deadline: 23 August 2024 (17:00 CET)In this second call for applications, 6 MSCA PhD fellowships will be offered to outstanding doctoral candidates for the duration of 3.5 years (42 months) to undertake a PhD project in nanoscience and nanotechnology at IMDEA Nanociencia, in Madrid.A full list of PhD projects is published on the IDEAL PhD website. Applicants are able to freely choose a PhD project and associated supervisor that fits their individual research interest.The IDEAL PhD fellows recruited in this call are expected to start their fellowship in early 2025.How to apply?To apply please visit and register on the IDEAL PhD Fellowship Programme website. Please read carefully the Guide for Applicants before submitting your application.EligibilityResearchers of any nationality are eligible to apply to the IDEAL PhD fellowships. Applicants need to comply with the following eligibility criteria:Mobility requirements: Following the MSCA mobility rule, candidates must not have resided or carried out their main activity (work, studies, etc.) in Spain for more than 12 months in the last 3 years before the call deadline.Degree certificates: Candidates must have completed the studies that lead to an official university degree that gives access to doctoral studies.Research experience: Candidates must be doctoral candidates, i.e. not already in possession of a doctoral degree at the time of the call deadline. Language: applicants must have a B2-equivalent or higher level of English.BenefitsIDEAL PhD fellows will be hired on a full-time standard employment contract for the maximum duration of 3.5 years (42 months) to undertake their PhD research project, complying with the Spanish legislation for the performance of doctoral studies.Through their contracts, fellows will have access to maternity/paternity, retirement, family benefits, and unemployment benefits.Fellows and their families will have access to public health care coverage and medical assistance.Fellows will receivea living allowance (covering salaries, social security contributions, taxes and other costs included in the remuneration), a mobility allowance (mobility costs to take up the position) and a family allowance (to cover additional costs per dependent child after checking eligibility).IMDEA Nanociencia will manage other research and travel costs available for the fellows to cover costs directly related with the development of the projects and necessary for the successful execution and travel costs associated with the researchers training and networking and to cover relevant expenses in secondments.Average annual gross salary of € 24,600Mobility allowance of € 2,400 (paid over the first 12 months, included in average salary).Research, and travel costs up to € 900/month (managed by the institution)Family Allowance of € 100 per month per child (up to 2 children)Researchers with disabilities are supported and an MSCA Special Needs Allowance will be applied for to cover any additional costs that researchers with disabilities face due to the increased costs of their mobility.IMDEA Nanociencia will provide support to fellows during the integration and their stay (visa requirements, general info, and family orientated support). Furthermore, fellows can also take advantage of the agreements in place with the Cantoblanco Campus support network to access on-campus accommodation, sports and cultural activities. Nursery and primary schools based on campus have priority for local workers.

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

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…