myScience

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    "title": "Postdoctoral Researcher in AI for Climate Information Inference",
    "description": "Nouvelle opportunite : Postdoctoral Researcher in AI for Climate Information Inference chez myScience (Zurich).\n\nETH Zurich recherche un chercheur postdoctoral en IA pour le climat.\nTâches\n•\nAppliquer des modèles d'IA pour extraire des données climatiques fiables.\n•\nDévelopper des outils et des pipelines pour le traitement des données.\n•\nCollaborer avec des équipes sur des projets de est a la recherche de multidisciplinaires.\nCompétences\n•\nDoctorat en sciences du climat, informatique ou domaines connexes requis.\n•\nCompétences en apprentissage automatique et en Python nécessaires.\n•\nExpérience avec des ensembles de données géospatiales et HPC souhaitée.\nPostdoctoral Researcher in AI for Climate Information Inference\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nComputer Science | Environment\nPosition\nSenior Scientist / Postdoc\nPublished\n7 April 2026\nClosing Date\n1 April 2026\nPostdoctoral Researcher in AI for Climate Information Inference\n100%, Zurich, fixed-term\nThe postdoctoral researcher will advance the application of AI, large language models (LLMs), and machine learning to extract trustworthy climate information from large-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using foundation models (e.g., Google Earth AI, AlphaEarth, TerraTorch) on a cutting-edge HPC platform. The researcher will conduct publishable scientific research while building tools and pipelines that serve the broader CLIM+ community. The position is jointly supervised by Prof. Andreas Prein, Prof. Erich Fischer, and Prof. Reto Knutti at ETH Zurich and Prof. Markus Leippold at the University of Zurich.\nProject background\nClimate science is generating rapidly growing volumes of satellite, reanalysis, and model data, creating new opportunities but also major challenges for turning data into robust and useful information. This project will develop AI-based methods to extract, synthesize, and interpret trustworthy climate information from large and complex Earth system datasets within the NCCR CLIM+ programme.\nJob description\n•\nDesign, develop, and apply AI/ML methods -- including large language models (LLMs) and foundation models (Google Earth AI, AlphaEarth, TerraTorch) -- to extract, synthesize, and reason about trustworthy climate information from large-scale geospatial, satellite, reanalysis, and climate model datasets\n•\nAdvanced physics-aware machine learning for kilometer-scale climate process representation\n•\nImplement and evaluate advanced generative AI models for high-resolution climate downscaling, data assimilation, emulation, and post-processing of weather-to-climate predictions\n•\nDevelop methods for uncertainty quantification in downscaled projections of extreme weather and climate hazards\n•\nWork with multimodal Earth system data including satellite, airborne, in-situ, reanalysis, and high-resolution climate model outputs\n•\nBuild robust, scalable software tools and data pipelines for processing large geospatial datasets, enabling CLIM+ project partners and the broader research community to leverage AI-driven climate information\n•\nDevelop and maintain reproducible research workflows using modern software engineering practices (version control, testing, documentation, containerization)\n•\nConduct original, publishable scientific research generating novel insights at the intersection of AI and climate science\n•\nWrite and submit peer-reviewed journal papers, present at international conferences, and contribute to NCCR CLIM+ reporting and grant proposals\n•\nEnsure that the research produces both scientific insight and methodological contributions to the field\n•\nCollaborate closely with research groups at ETH (Prein, Knutti, Fischer) and UZH (Leippold, Vaghefi, Colesanti Senni) to align AI development with climate science research questions\n•\nParticipate in CLIM+ programme activities, workshops, and cross-project initiatives\n•\nContribute to supervision of students and interns where appropriate\nProfile\n•\nPhD in climate science, atmospheric science, computer science, data science, physics, applied mathematics, remote sensing, or a related field\n•\nStrong publication record in AI, machine learning, or Earth system data science\n•\nExperience with large geospatial datasets, remote sensing, reanalyses, or climate/weather model output\n•\nProficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or JAX\n•\nExperience with HPC and GPU-accelerated computing\n•\nFamiliarity with foundation models / LLMs; interest in reproducible workflows\n•\nInterest in reproducible workflows and scientific software development\n•\nIndependent, proactive, and collaborative working style with strong communication skills\nWorkplace\nWe offer\n•\nAn exciting interdisciplinary res",
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    "title": "PhD Position: Agro-Economic Analysis of Legume-Cereal Mixtures (PhenoMix project)",
    "description": "myScience est a la recherche d'un(e) PhD Position: Agro-Economic Analysis of Legume-Cereal Mixtures (PhenoMix project) pour son site de Zurich.\n\nETH Zurich recherche un doctorant pour analyser les mélanges légumineuses-céréales. Rejoignez un projet innovant et collaboratif.\nTâches\n•\nPlanifier et réaliser des expériences de terrain et en laboratoire.\n•\nEffectuer des analyses statistiques, y compris des approches basées sur l'IA.\n•\nPrésenter les résultats lors d'événements et publier dans des revues.\nCompétences\n•\nDiplôme de MSc en sciences agricoles, biologie ou domaine connexe.\n•\nExpérience en planification d'expériences et analyses statistiques.\n•\nCompétences en communication orale et écrite en anglais.\nPhD Position: Agro-Economic Analysis of Legume-Cereal Mixtures (PhenoMix project)\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nAgronomy & Food Science | Environment\nPosition\nJunior Researcher / PhD Position\nPublished\n21 April 2026\nPhD Position: Agro-Economic Analysis of Legume-Cereal Mixtures (PhenoMix project)\n100%, Zurich, fixed-term\nThis doctoral student position is part of the project ’ PhenoMix: Multidimensional field phenotyping of crop mixtures ’, supported by the Swiss National Science Foundation. The position is hosted by the Crop Science group; a vibrant and interdisciplinary working group in the Institute of Agricultural Sciences at the Department of Environmental Systems Science at ETH Zurich. Our group’s phenotyping research focuses on the development of methods and models to determine traits of relevance for crop breeding and variety testing. The Agroscope research group Extension Arable Crops (Competence division Plants and Plant Products) develops ecological solutions for disease, pest and weed control and evaluates crop varieties for their suitability under Swiss conditions. It takes a holistic approach to create sustainable, cost-efficient, and climate-resilient arable farming systems.Please enter text here\nProject background\nPhenoMix\nis a joint project of four research groups at ETH Zurich, the Swiss Data Science Center and Agroscope. The overall objective of\nPhenoMix\nis to test the hypothesis that current high throughput field phenotyping technology in combination with plant physiological and ecosystem service assessments can provide a breakthrough to determine genotypes that can be successfully combined in agroecologically beneficial legume-cereal mixtures. Different varieties of legumes (peas, lentils) and cereals (wheat, oats, barley) will be grown in pure stands and in mixtures on the field phenotyping platform FIP of the Crop Science group, on a neighbouring experimental field and on farmer’s fields. The\nPhenoMix\nWork Packages address phenotyping, plant ecophysiology, data science, and agronomic-economic performance with four doctoral students, two postdocs and several technicians assigned to those work packages. The Agro-Economic doctoral student will establish and monitor on-site and on-farm field experiments investigating several lentil-cereal mixtures by assessing various ecosystem services.\nJob description\nThis doctoral project will form an important cornerstone in the mosaic of the entire project with specific tasks and in alignment with the other\nPhenoMix\ndoctoral students and postdocs for which recruiting is also going on currently. Overall tasks of the project include:\n•\nPlanning, conducting and evaluating field and post-harvest laboratory experiments\n•\nPerforming statistical analyses, including AI-based approaches\n•\nPresentation of results at national and international events and publication in peer-reviewed and in practice-oriented journals\n•\nOrganisation of national workshops for growers, food industry and consumers\n•\nAssistance in plot establishment, maintenance, monitoring, and harvest across all Work Packages of\nPhenoMi\nx.\nThis full-time position is funded for four years. Salary and social benefits are provided according to ETH Zurich rules. The place of work will be at Agroscope in 8046 Zurich-Affoltern.\nProfile\n•\nA MSc degree in agricultural sciences, biology, ecology or in a related field.\n•\nStrong interest in applied interdisciplinary research and enjoyment of complex field experiments\n•\nExperience in planning laboratory and field experiments as well as in statistical analyses (e.g. R)\n•\nPerformance-\noriented, team player and open-minded personality\n•\nExcellent standard of written and spoken English\n•\nGood writing skills\n•\nDriver’s license\n•\nExperience in niche crops and good oral communication skills in German are beneficial\nWorkplace\nWe offer\n•\nYour job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society\n•\nYou can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by t",
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    "title": "Doctoral researcher (PhD Position) in Conversational AI for Customer and Employee Interactions",
    "description": "myScience ouvre un poste de Doctoral researcher (PhD Position) in Conversational AI for Customer and Employee Interactions a Zurich.\n\nETH Zurich recherche un chercheur doctoral en IA conversationnelle. Ce poste offre une opportunité unique pour innover dans le domaine.\nTâches\n•\nConduire des recherches appliquées sur l'IA conversationnelle.\n•\nCollaborer avec des partenaires industriels pour des projets pertinents.\n•\nParticiper aux conférences internationales et publier des travaux.\nCompétences\n•\nDiplôme de master en AI ou marketing; compétences en analytics requises.\n•\nExcellentes compétences en communication en anglais.\n•\nConnaissance des systèmes d'IA et de l'analyse de données.\nDoctoral researcher (PhD Position) in Conversational AI for Customer and Employee Interactions\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nEconomics | Innovation\nPosition\nJunior Researcher / PhD Position\nPublished\n23 March 2026\nDoctoral researcher (PhD Position) in Conversational AI for Customer and Employee Interactions\n100%, Zurich, fixed-term\nThe Technology Marketing Group , founded by Florian von Wangenheim in 2013, is a pioneering research group at ETH Zurich dedicated to exploring the intersection of marketing, technology, and societal impact. Together with its associated centres and labs, we investigate how to effectively market innovative offerings and how emerging technologies transform the relationship between organisations and their stakeholders.\nThe current PhD position offers an exciting opportunity to work with two centres within the Chair on managerially-\nrelevant applied research:\nThe Mobiliar Lab for Analytics at ETH Zurich develops and tests digital interactions using emerging technologies and artificial intelligence. As a joint initiative of ETH Zurich and a Swiss insurer, we focus on exploring the benefits of emerging technologies balanced against their dark sides. Our research at the intersection of data, behavioural, and computer science draws on data from real-world and experimental settings\nThe Centre for AI Value identifies and implements AI applications to generate economic value. It bridges academic AI research with practical business applications, focusing on customer service, multimodal data modelling, and process automation\nProject background\nDuring your PhD, you will examine how conversational AI can be deployed effectively to frontline service interactions with customers or as a support tool for employees. Projects will explore success factors in designing and deploying Conversational AI. This could include, for example, varying technical foundations (e.g., prompt engineering, fine-tuning, model architecture and retrieval strategies), the usage context (e.g., routine vs. special services), or unique individual level factors (e.g., personality profile, AI literacy) to ensure Conversational AI is optimised for its deployment context and contributes to excellent customer service and workplace efficiency. Research output will therefore have clear managerial relevance. Research activities will involve analysis of primary and secondary data, in both controlled and field settings. The successful candidate will shape projects and research questions within this overarching scope, whilst working alongside closely industry partners and reacting to emergent research opportunities.\nJob description\nWe are currently seeking a doctoral researcher with both technical knowledge and skills related to the technical foundations of conversational AI as well as domain knowledge on how and why it can be deployed effectively. You should have knowledge and skills in both data analytics (e.g., machine learning, statistics, econometrics) and behavioural sciences (e.g., experimental design, survey research, application/\ndevelopment of managerially relevant theory). Software engineering skills (e.g., REST API development, SQL/NoSQL databases, cloud deployment (AWS/Azure/\nGCP), Docker) are also very welcome. You will need to be highly flexible and responsive to emerging opportunities with partners from industry. The candidate should be highly motivated to drive projects forward, as well as network across Switzerland.\nResponsibilities include, but are not limited to:\n•\nUsing data and technology to conduct managerially relevant research\n•\nCollaborating with experts and industry partners\n•\nAttending international conferences to share your work\n•\nPublishing in top scientific journals in Marketing and Information Systems fields (e.g., Journal of Marketing, Marketing Science, Management Information Systems Quarterly, Information Systems Research, Decision Support Systems etc.).\n•\nCommunicating and engaging with the public\n•\nTeaching support and supervision under the umbrella of the Chair of Technology Marketing, D-MTEC\nProfile\nEssential requirements:\n•\nExcellent written and oral communication skills in English\n•\nMaster’s degree that bl",
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    "title": "PhD Candidate in Applied ML and NLP",
    "description": "Offre d'emploi : PhD Candidate in Applied ML and NLP -- myScience, Zurich.\n\nETH Zurich est a la recherche de un candidat au doctorat en ML appliqué et NLP. Opportunité unique d'appliquer IA au système judiciaire suisse.\nTâches\n•\nDévelopper des prototypes d'IA pour le traitement légal.\n•\nÉvaluer la performance et la fiabilité des systèmes d'IA.\n•\nCollaborer avec les partenaires judiciaires pour des applications réelles.\nCompétences\n•\nDiplôme de master en informatique ou domaine lié requis.\n•\nCompétences solides en ML et NLP nécessaires.\n•\nCapacité à travailler de manière autonome et en équipe.\nPhD Candidate in Applied ML and NLP\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nInnovation | Computer Science\nPosition\nJunior Researcher / PhD Position\nPublished\n16 April 2026\n100%, Zurich, fixed-term\nAs part of the SNSF-funded project ’Responsible AI for the Swiss Judiciary’, we work on real-world applications of artificial intelligence for the Swiss judiciary in close collaboration with courts and partners across Switzerland. We are looking for a PhD candidate in Applied ML and NLP. This doctoral position is part of the SNSF-funded project ’Responsible AI for the Swiss Judiciary’ at ETH Zurich. The project develops and evaluates AI-based prototypes to support judicial decision-making, with a focus on real-world applicability. It combines machine learning, legal applications, and empirical evaluation in collaboration with judicial partners. The project offers a unique opportunity to work on real-world, high-stakes AI systems in collaboration with courts, combining cutting-edge AI research with impactful societal applications.\nJob description\nThe doctoral researcher will focus on the development and evaluation of AI-based research prototypes for legal applications, with a strong emphasis on technical implementation and real-world deployment.\nCore responsibilities include:\n•\nDeveloping and implementing AI systems for legal text processing and decision support (e.g., LLMs, retrieval-augmented generation, agentic systems)\n•\nBuilding production-\nquality prototypes suitable for pilot deployment in judicial settings, including robust retrieval systems, LLM pipelines, and evaluation infrastructure\n•\nDesigning and running systematic evaluations of model performance, robustness, and reliability\n•\nBuilding datasets, benchmarks, and pipelines for legal AI applications\n•\nImproving model architectures, prompting strategies, and retrieval systems for high-stakes environments\n•\nConducting pilot evaluations with judicial partners to study how AI tools perform in real decision-making workflows, and translating findings into technical improvements (e.g., new embedding methods, agent architectures, prompting strategies)\n•\nPublishing research results in leading venues in artificial intelligence and computational social science\n•\nThe position is designed for a cumulative PhD with a strong methodological and technical focus\n•\nOur offices are located in downtown Zurich, and the working languages are German and English\nProfile\nWe are looking for candidates who combine strong ML/NLP fundamentals with hands-on engineering skills; someone who understands how models work under the hood and can also build reliable, deployable systems. You:\n•\nMust hold a master’s degree in computer science, data science, or a closely related field\n•\nHave strong analytical and problem-solving skills\n•\nAre able to work independently and take ownership of technical components\n•\nAre interested in applying AI methods to real-world, high-stakes domains\n•\nAre motivated to work with legal stakeholders from the Swiss judiciary\n•\nHave expertise with large language models, information retrieval, evaluation of ML systems, and deploying applications; this is highly desirable\n•\nHave an excellent command of English; German language skills are a plus\nWorkplace\nWe offer\n•\nYour job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society\n•\nYou can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits\nWorking, teaching and research at ETH Zurich\nWe value diversity and sustainability\nIn line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us - we are consistently working towards a climate-neutral future .\nCurious? So are we.\nWe look forward to receiving your online appl",
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    "title": "Postdoctoral Position in Machine Learning for Automated Plant Phenotyping (PhenoMix Project)",
    "description": "Rejoignez myScience en tant que Postdoctoral Position in Machine Learning for Automated Plant Phenotyping (PhenoMix Project) a Zurich.\n\nPoste postdoctoral à ETHZ en apprentissage automatique pour la phénotypage automatisé.\nTâches\n•\nDéveloppement de méthodes d'estimation de traits par apprentissage automatique.\n•\nCollaboration avec des experts en sciences agricoles et phénotypage.\n•\nCréation de nouveaux outils de science des données pour l'agriculture durable.\nCompétences\n•\nDoctorat en informatique, apprentissage automatique ou sciences connexes requis.\n•\nExpertise en vision par ordinateur et modèles d'apprentissage profond.\n•\nCompétences en programmation scientifique et gestion de données complexes.\nPostdoctoral Position in Machine Learning for Automated Plant Phenotyping (PhenoMix Project)\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nComputer Science | Environment\nPosition\nSenior Scientist / Postdoc\nPublished\n6 May 2026\nPostdoctoral Position in Machine Learning for Automated Plant Phenotyping (PhenoMix Project)\n100%, Zurich, fixed-term\nThe Swiss Data Science Center (SDSC) is a national research infrastructure in data science and artificial intelligence (AI) of the ETH domain, with EPFL and ETH Zurich as founding partners. Its mission is to support academic labs, hospitals, industry and public sector stakeholders, including cantonal and federal administrations, through their entire data science journey, from the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various domains, such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructures.\nThe Swiss Data Science Center (SDSC) and the ETH Zurich’s Crop Science Group are seeking a Postdoctoral Researcher for the PhenoMix project, a Swiss National Science Foundation (SNSF) funded initiative.\nThis role sits at the intersection of machine learning, computer vision, agricultural sciences, and plant phenotyping. The position focuses on Automated Trait Estimation using Machine Learning, developing novel data science methods for crop mixture phenotyping.\nThe position will be based at the SDSC Zurich office (Andreasturm), with close collaboration with the Crop Science Group (Prof. Walter), the Grassland Sciences Group (Prof. Buchmann) at ETH Zurich’s Department of Environmental Systems Science (D-USYS), and with AGROSCOPE (Dr. Vogelgsang).\nProject background\nContext:\nThe PhenoMix project addresses the critical challenge of automated phenotyping for crop mixtures -- a promising agricultural practice with significant potential for sustainable food production. The project leverages the Field Imaging Platform (FIP), a state-of-the-art high-throughput phenotyping facility, along with field experiments to generate unprecedented multi-modal datasets of pure stands and crop mixtures. The project will also contribute to the creation of new generation phenotyping datasets - including 3D reconstructions and derived trait information - and related models, which will be made publicly available\nThe postdoctoral researcher will create novel data science tools and automate processing of image time series, plant trait information, and 3D reconstructions. The work will bridge advanced machine learning methods with practical agricultural applications, developing models that can transfer knowledge across different imaging platforms and environmental conditions. The postdoc will be responsible for delivering advances and solutions that not only advance the state-of-the-art, but also have real-world impact for farmers, breeders, and researchers in the field of plant phenotyping.\nCollaboration:\nThe postdoctoral researcher will be part of a highly collaborative and interdisciplinary project, working closely with experts in machine learning, plant phenotyping, crop sciences, and field validation. The project is designed to foster knowledge exchange and collaboration across disciplines, ensuring that the developed methods are both scientifically rigorous and practically relevant.\nThis project brings together expertise from multiple leading groups. The SDSC provides expertise in machine learning, computer vision, and data science infrastructure, serving as the primary host institution for this position. The Crop Science Group (Prof. Achim Walter, ETH Zurich) operates the Field Imaging Platform (FIP) and and brings deep expertise in high-throughput plant phenotyping and crop science, providing access to cutting-edge infrastructure and datasets. The Grassland Sciences Group (Prof. Nina Buchmann, ETH Zurich) contributes key expertise in plant ecophysiology, biodiversity and plant ecology. The Extension Arable Group (Dr. Susanne Vogelgsang, AGROSCOPE) provid",
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    "title": "Postdoctoral Researcher on hybrid AI-optimization modelling",
    "description": "myScience est a la recherche d'un(e) Postdoctoral Researcher on hybrid AI-optimization modelling pour son site de Zurich.\n\nETH Zurich recherche un Postdoctorant en modélisation hybride AI-optimisation.\nTâches\n•\nDévelopper des émulateurs d'optimisation des systèmes énergétiques.\n•\nConcevoir des méthodes innovantes comme les réseaux de neurones.\n•\nPublier des recherches et collaborer avec des partenaires industriels.\nCompétences\n•\nDoctorat en systèmes énergétiques ou informatique requis.\n•\nExpertise en modélisation et architectures neuronales.\n•\nCompétences avancées en programmation Python.\nPostdoctoral Researcher on hybrid AI-optimization modelling\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nEnvironment | Computer Science\nPosition\nSenior Scientist / Postdoc\nPublished\n23 March 2026\nPostdoctoral Researcher on hybrid AI-optimization modelling\n100%, Zurich, fixed-term\nThe Energy Science Center (ESC) at ETH Zurich is an interdepartmental competence centre that facilitates energy research and teaching activities across research fields and departments, and promotes outreach and public visibility of energy research at ETH Zurich. We are seeking a highly qualified and motivated Postdoctoral Researcher to join our team working at the forefront of hybrid AI-optimization modelling. This position focuses on the design of AI-based surrogates of large-scale energy system models and will be integrated in the activities of the Nexus-e group with close links to the ETH AI Center and the Reliability and Risk Engineering Lab .\nJob description\n•\nCollaborate with other researchers to develop high-fidelity emulators for large-scale, energy system optimization models\n•\nLead the design and implementation of innovative methods, which could include but are not limited to: Kriging surrogate, Polynomial Chaos Expansion (PCE), and Physics-Informed Neural Networks (PINNs)\n•\nContribute to the strategic direction of research\n•\nPublish high-impact research in leading journals and present findings at international conferences on energy systems and machine learning\n•\nCollaborate with industry partner to tackle challenges of practical relevance\nProfile\nInterested candidates should meet the following requirements to be eligible for the position:\n•\nA PhD or Doctoral degree in Energy Systems, Computer Science, Applied Mathematics, or a field focused on the intersection of Machine Learning and Optimization\n•\nProven expertise in surrogate modelling, specifically in designing neural architectures for emulating constrained optimization problems\n•\nAdvanced programming skills in Python, with deep parcours professionnel in libraries such as PyTorch, Pyomo, and the broader scientific stack (Xarray, Pandas). Knowledge of MATLAB is desired but not a requirement\n•\nA strong track record of publications in peer-reviewed journals involving advanced emulation or physics-aware AI\n•\nDemonstrated ability to work effectively in interdisciplinary and multicultural research teams, bridging the gap between data science and energy engineering\n•\nProficiency in English is required\nWorkplace\nWe offer\n•\nA young, dynamic and interdisciplinary research team addressing energy system challenges.\n•\nAn attractive research position in high-impact projects, at one of the world’s leading universities with a central workplace in Zurich.\n•\nCompetitive salaries paid according to ETH standards .\n•\nNumerous benefits and flexible, family-friendly working conditions.\n•\nYour career with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society\nThe planned duration of the initial contract is one year, to be extended based on continued funding and successful performance.\nWorking, teaching and research at ETH Zurich\nWe value diversity and sustainability\nIn line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us - we are consistently working towards a climate-neutral future .\nCurious? So are we.\nWe look forward to receiving your online application with the following documents:\n•\nA letter of motivation (max one page)\n•\nCV, including publications\n•\nTwo key outputs (these could be publications, software code, projects, etc)\nPlease note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.\nFor further information please contact Dr. Jonas Savelsberg, Head of the Nexus-e group via e-mail (jsavelsberg@\nesc.ethz.ch). ",
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    "description": "Vous cherchez un emploi de DevOps Engineer - IT Service Manager a Geneva ? myScience recrute.\n\nCERN recherche un Ingénieur DevOps - Responsable IT Service. Rejoignez un environnement proactif et innovant.\nTâches\n•\nGérer et configurer des services cloud tiers comme SharePoint Online.\n•\nMaintenir et faire évoluer des solutions comme Confluence et TWiki.\n•\nFournir un support utilisateur à la communauté CERN.\nCompétences\n•\nMaster avec 2 à 6 ans d'expérience ou un doctorat.\n•\nConnaissance en programmation Python et JavaScript.\n•\nCompétences en administration système et Cloud.\nDevOps Engineer - IT Service Manager\nCERN\nWorkplace\nGeneva\n- Lake Geneva region - Switzerland\nCategory\nComputer Science | Innovation\nPosition\nEngineer / Technician\nPublished\n20 April 2026\nClosing Date\n5 November 2026\nGeneva, Switzerland IT-PW-WDA-2026-78-GRAP Ideal start date: 01/06/2026\nBefore 11/05/2026 at 23:59 (Geneva Time)\nWhat you’ll do\nIn this role, you will be a core member of the Web, DevOps and Authoring section in theIT-PW group. We provide, among others, services for web hosting, authoring and online collaboration tools such as Google Workspace, Confluence, SharePoint, TWiki and Discourse. 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You are not eligible with only a bachelor’s degree.\n•\nYou have never had a CERN fellow or graduate contract before.\n•\nPlease pay attention to the additional criteria and requirements for this specific position and mentioned above.\nYou will need these documents to complete your application\n•\nYour CV (English or French)\n•\nA copy of your most relevant diploma or a certificate of achievement from your school (if you don’t yet have your paper diploma)\n•\nAny document you consider relevant to your application\nYour CERN\nDepartment\nThe IT Department designs, operates, and evolves CERN’s core computing and digital infrastructure.\nIt provides the large-scale data processing, storage, networking, and collaboration services that enable CERN’s scientific programme. 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    "title": "Data Analytics Infrastructure Engineer",
    "description": "Vous cherchez un emploi de Data Analytics Infrastructure Engineer a Geneva ? myScience recrute.\n\nCERN recherche un Data Analytics Infrastructure Engineer à Genève. Rejoignez une équipe innovante et dynamique.\nTâches\n•\nDévelopper l'infrastructure d'analytique interactive (SWAN, Jupyter).\n•\nConfigurer et soutenir les solutions d'analytique et de visualisation.\n•\nFournir des conseils aux utilisateurs pour développer des cas d'utilisation.\nCompétences\n•\nExpérience en systèmes Linux et développement Python requis.\n•\nCompétences en Kubernetes et en analyse de données.\n•\nConnaissance des architectures de bases de données et de SQL.\nData Analytics Infrastructure Engineer\nCERN\nWorkplace\nGeneva\n- Lake Geneva region - Switzerland\nCategory\nComputer Science | Social Sciences\nPosition\nEngineer / Technician\nPublished\n28 April 2026\nClosing Date\n25 May 2026\nGeneva, Switzerland IT-DA-ASM-2026-95-LD Ideal start date: 01/08/2026\nBefore 25/05/2026 at 23:59 (Geneva Time)\nWhat you’ll do\nThe Analytics, Streaming and Monitoring section which provides Messaging, data Streaming, Monitoring platforms and services, and frontend analytics services for the different CERN communities to facilitate data collection, transport, manipulation, processing, interactive data analysis and central reporting solutions. Moreover, the section works with the Experiments, Accelerator sector, IT and other CERN communities interested in implementing data analysis solutions with these technologies.\nYour responsibilities\n•\nOperations and developmentof interactive analytics infrastructure (SWAN, Jupyter Notebooks) through multiple product lifecycle environments.\n•\nConfiguration and support of analytics and visualisation solutions and integrations: architecture, evolution, migration, upgrades and patches, including monitoring of system health and performance, to ensure high levels of performance, availability, and security.\n•\nConsultancy, assistance and advice to end users developing analytics use-cases.\n•\nSupport Analysis Facilities infrastructure and services.\nStill here?\nLet’s make a quick check about\nYour profile\n•\nOperation of large scale production Kubernetes environments.\n•\nTechnical and troubleshooting skills with Kubernetes components, web interfaces and data analysis engines and packages (e.g. Apache Spark).\n•\nDevops operations (Linux systems) and configuration management experience in an Agile development environments and/or cloud native deployments.\n•\nParcours professionnel developing and maintaining Python applications, specially Web based systems (full-stack).\nYour skills\n•\nKnowledge of database and/or data mining architectures and technologies: familiarity with SQL and interacting with database systems.\n•\nKnowledge of system configuration tools:familiarity with automation tools for infrastructure delivery and management.\n•\nKnowledge of programming techniques and languages: UNIX shell script and Python programming is required. 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    "title": "Full-Stack Software Engineer for CERN’s EDMS",
    "description": "Offre d'emploi : Full-Stack Software Engineer for CERN’s EDMS -- myScience, Geneva.\n\nCERN recrute un ingénieur logiciel full-stack pour son EDMS. Rejoignez une équipe energique au cœur de l'innovation.\nTâches\n•\nDévelopper des applications backend en Java pour le système EDMS.\n•\nCréer des applications web avec React et TypeScript.\n•\nAnalyser et moderniser les logiciels existants pour améliorer l'efficacité.\nCompétences\n•\nDiplôme en informatique et 2 ans d'expérience professionnelle.\n•\nCompétences solides en développement backend et Java.\n•\nMaîtrise des technologies front-end comme React ou TypeScript.\nFull-Stack Software Engineer for CERN’s EDMS\nCERN\nWorkplace\nGeneva\n- Lake Geneva region - Switzerland\nCategory\nComputer Science | Innovation\nPosition\nEngineer / Technician\nPublished\n29 April 2026\nClosing Date\n19 May 2026\nGeneva, Switzerland EN-IM-PLM-2026-128-GRAE Ideal start date: 01/07/2026\nBefore 19/05/2026 at 23:59 (Geneva Time)\nWhat you’ll do\nThe Engineering Department’\nsInformation Managementgroup is seeking a highly motivated full stack software engineer with strong technical skills and a passion for learning.\nYou will join an international team within the PLM (Product Lifecycle Management) section, delivering engineering information management solutions for the entire accelerator complex and its detectors.\nThis ecosystem manages millions of engineering documents, product definitions, and CAD (Computer-Aided Design) models.\nCurrently, the group is leading a major modernisation effort focused on the Engineering Data Management System (EDMS), leveraging modern technologies to streamline and evolve the engineering landscape, improve data accessibility and workflows, and support the scale and complexity of future engineering projects.\nLearn more\nYour responsibilities\n•\nImplement backend applications using Java.\n•\nBuild web applications using modern technologies (React, TypeScript).\n•\nAnalyse existing software packages, streamline them, and reimplement them following a new architecture.\n•\nTake part in the complete modernisation of one of the group’s flagship applications - Engineering Data Management System (EDMS).\nStill here?\nLet’s make a quick check about\nYour profile\n•\nExpertise and/or strong knowledge in developing and maintaining large software projects using Java.\n•\nExperience and/or strong knowledge in full-stack development, including front-end applications built with React or Angular or TypeScript.\n•\nExpertise and/or strong knowledge with relational databases such as Oracle, PostgreSQL, or SQL Server as part of large-scale systems.\n•\nExperience and/or strong knowledge in Agile and DevOps practices in a collaborative team environment.\nYour skills\n•\nBackend development using Java.\n•\nFrontend development using React or Angular or TypeScript.\n•\nExperience with SQL databases (i.e. Oracle, SQL Server).\n•\nGit.\nIdeal start date:\n01/07/2026\nContract duration (in months):\n24\nJob flexibility:\nHybrid\nGlobal Benefits\nat CERN\n•\nA monthly stipend between 5266-5793 Swiss Francs per month (tax free) depending on your degree.\n•\n30 days of paid leave per year plus 2 weeks annual closure.\n•\nCoverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.\n•\nFamily, child and infant monthly allowances depending on your individual circumstances.\n•\nA relocation package (installation grant and travel expenses) depending on your individual circumstances.\n•\nPossibility to extend your contract up to 36 months.\n•\nOn-the-job and formal training including language classes.\nLet’s get you\nready\nBe sure to meet the eligibility criteria\n•\nYou are a national of a CERN Member State or Associate Member State . 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    "description": "myScience ouvre un poste de Ceph Software Engineer a Geneva.\n\nCERN recrute un Ingénieur en logiciel Ceph à Genève. Rejoignez une équipe innovante et dynamique.\nTâches\n•\nContribuer à l'évolution des systèmes de stockage de données.\n•\nGérer des services de stockage distribués à grande échelle.\n•\nOptimiser les architectures de stockage pour des charges de travail exigeantes.\nCompétences\n•\nExpérience solide en Linux et programmation système requise.\n•\nCompétences en C/C++ ou autres langages performants.\n•\nMaîtrise des langages de script pour l'automatisation.\nCeph Software Engineer\nCERN\nWorkplace\nGeneva\n- Lake Geneva region - Switzerland\nCategory\nComputer Science | Physics\nPosition\nEngineer / Technician\nPublished\n29 April 2026\nClosing Date\n27 May 2026\nGeneva, Switzerland IT-SD-GSS-2026-96-LD Ideal start date: 01/08/2026\nBefore 27/05/2026 at 23:59 (Geneva Time)\nWhat you’ll do\nWork with us to evolve the CERN data storage systems used at the Large Hadron Collider (LHC) and at its international partners. CERN is the birthplace of the World Wide Web and one of the world’s leading laboratories for particle physics. Join the Storage and Data Management Group in CERN’s IT Department as a Software Engineer for a unique challenge as the next step in your career. CERN, take part!\nThe CERN IT Storage and Data Management group operates the core services used by both LHC and non-LHC experiments for data collection, archival, reconstruction, analysis, and global distribution via the Worldwide LHC Computing Grid.\nAs a Ceph Software Engineer, you will contribute to the design, evolution, and operation of large-scale distributed critical storage services for the CERN cloud and computing infrastructures. You will work hands-on with Ceph-based block, object, and filesystem solutions (including CephFS and NFS integrations), ensuring high availability, performance, and resilience across multi-datacenter environments. 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