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Journals: Prospects for Space Quantum Research

Feb 13, 2025 at 10:56 PM

EPJ Quantum Technology is calling for submissions to our Collection on Prospects for Space Quantum ResearchSubmission Deadline: 28 February 2025Read more at https://www.springeropen.com/collections/PSQR Submission GuidelinesThis Collection welcomes submission of research articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “Prospects for Space Quantum Research" under the “Details” tab during the submission stage.Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.About the CollectionQuantum technologies are gaining importance every day. Space exploration has been on the forefront of development of quantum technologies and investigation of quantum mechanical phenomena. It is thus evident, that space, with its demands on size, mass, and power, can be a major technology driver and accelerator for innovations in quantum technology. In this topical Collection, we want to summarize the uses of and advancement in quantum technologies:In Space - Quantum technologies in space can be deployed to investigate a number of fundamental questions not possible in terrestrial environments, especially: • Quantum Mechanical Phenomena: • Decoherence Experiments • Surface Interactions • 3D atomic systems • Et cetera • Fundamental Physics: • Weak Equivalence Principle Tests • Local Lorentz Invariance Tests • Local Position Invariance Tests • Search for new physicsFor Space - The exploration of space can benefit from the possibilities in quantum technologies. Quantum technologies can be deployed for space, especially in: • Navigation without GNSS • Deep Space Timing, Position and Navigation (PNT) • Inertial Sensing • Navigation along and Generation of Planetary Maps • Planetary and Lunar Research • Space Weather Monitoring • Gravitational Redshift • Gravitational Wave DetectionFrom Space - Our civilization has come to rely on global services that can be improved by or include already quantum technologies, such as: • Global Navigation Satellite System (GNSS) • Earth Observation • Gravimetry / Gravity Gradiometry • Quantum RADAR • Quantum LIDAR • Altimetry • Quantum Communication NetworksThis topical issue welcomes publications in all these areas with a specific focus given to the current strategic considerations at NASA, through the National Academies' Biological and Physics Sciences Decadal Survey report, and at ESA.

36th International Photovoltaic Science and Engineering Conference

Dec 2, 2024 at 11:00 PM

Venue: Chulalongkorn University, Bangkok, ThailandDate: November 16 - 21, 2025More Information: https://www.pvsec-36.comThe 36th International Photovoltaic Science and Engineering Conference (PVSEC-36), which will take place in Bangkok, Thailand in 2025, is a great pleasure to extend an invitation to you to submit an abstract. All fields of study related to photovoltaic science and technology are welcome to submit articles, including but not limited to basic physics and chemistry, cell and module technologies, characterization methods, system integrations, grid integration, energy management, and market and regulatory challenges. The program for PVSEC-36 is structured around six key areas, along with cross-cutting topics:PV in Sustainable Energy Systems, Policy: Policy, Market, Finance, Deployment, Carbon Neutrality, Grid Integration and Energy Management, PV Status in Southeast Asian Countries (ASEAN).System Engineering and Field Performance: Integrated PV and Advanced Applications of PV, Field Performance of PV Systems, Standard, End of Life.Wafer-based Silicon PV: Materials, Processes, Fundamentals, Cells and Modules.Thin-film PV and Modules: Organic and Inorganic PV, Compound Thin-Film PV, III-V High Efficiency Devices.Perovskite and Emerging PV: Perovskite PV, Emerging Materials and New Concepts.Cross Cutting Areas: Tandem PV, Artificial Intelligence in PV Development, Solar to X, Sciences, Materials and Devices, PV and Energy Storage Systems.

NWO Talent Programme Vidi Science 2024

Sep 27, 2024 at 12:03 AM

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

PhD position in Theoretical Quantum Many-Body Physics

Sep 9, 2024 at 8:06 PM

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/

ATLAS Trigger Reconstruction using AI/ML (EP-ADT-2024-54-GRAP)

Apr 18, 2024 at 2:55 PM

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…