myScience

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    "title": "Doctorat - Suivi des sources pour bioaérosol",
    "description": "myScience ouvre un poste de Doctorat - Suivi des sources pour bioaérosol a Zurich.\n\nPoste de doctorat à l'ETH Zurich sur le suivi des bioaérosols. Rejoignez une équipe innovante axée sur la est a la recherche de environnementale.\nTâches\n•\nCollecter des échantillons d'air pour analyse microbiologique.\n•\nUtiliser des outils de modélisation pour étudier le transport des bioaérosols.\n•\nAnalyser les données génomiques pour identifier les sources d'émissions.\nCompétences\n•\nDiplôme de master en ingénierie environnementale ou domaine connexe requis.\n•\nCompétences en modélisation et analyse de données nécessaires.\n•\nMaîtrise de l'anglais exigée pour la communication scientifique.\nDoctorat - Suivi des sources pour bioaérosol\nEidgenossische Technische Hochschule Zürich, ETHZ\nLieu de travail\nZurich\n-\nRégion de Zurich\n-\nSuisse\nCatégorie\nEnvironnement\n|\nSciences de la vie\nPoste\nChercheur junior / Doctorat\nPublié\n23 mars 2026\n100 %, Zurich, durée déterminée\nNous invitons les candidatures pour un perspective de doctorant au sein du groupe Qualité de l'air et Technologie des particules (Prof. Dr J. Wang). Le candidat retenu sera accueilli par l'Institut de Génie de l'Environnement, ETH Zürich et s'inscrira à l'ETH Zürich.\nLa est a la recherche de porte sur le développement de techniques expérimentales et de modélisation pour identifier les sources d'émission, simuler le transport aérien, analyser les données génomiques et étudier le devenir et l'impact des bioaérosols. Les bioaérosols, incluant bactéries, virus, champignons en suspension dans l'air et fragments de ces organismes, présentent des risques pour l'humain. Des composants dangereux émergents tels que les gènes de résistance aux antibiotiques et aux métaux soulignent les risques évolutifs liés aux bioaérosols. La métagénomique, la bioinformatique, les modèles de simulation de la qualité de l'air et les outils de suivi des sources sont attendus pour contribuer aux objectifs de recherche. Notre groupe est engagé dans le développement de technologies pour l'échantillonnage et la détection des bioaérosols, ainsi que des modèles de qualité de l'air à haute résolution spatiotemporelle, offrant une plateforme solide pour le doctorant.\nDescription du position\nL'étudiant sera impliqué dans des tâches telles que :\n•\nCollecter des échantillons d'air\n•\nAppliquer des méthodes microbiologiques telles que qPCR et séquençage pour identifier et quantifier les bioaérosols\n•\nUtiliser l'analyse de données et la bioinformatique pour extraire les caractéristiques des bioaérosols\n•\nAppliquer des outils de suivi des sources pour identifier les sources et quantifier les contributions\n•\nEmployer des modèles de qualité de l'air pour étudier le transport et le devenir des bioaérosols et évaluer leur impact\nNous vivons une culture d'inclusion et de respect. Nous accueillons toutes les personnes intéressées par des activités innovantes, durables et significatives. C'est ce qui compte - pas l'âge, le genre, l'origine, la religion, l'orientation sexuelle, etc.\nProfil\n•\nNous recrutons des candidats appropriés titulaires d'un master en génie de l'environnement, bioingénierie, génie mécanique ou domaines connexes avec d'excellentes notes\n•\nUne bonne capacité de modélisation est très appréciée\n•\nUne bonne maîtrise de l'anglais est requise\nLieu de profession\nNous offrons\n•\nUn ouverture professionnelle à impact : Faites partie de l'ETH Zurich, qui soutient non seulement votre développement professionnel, mais contribue aussi activement à un changement positif dans la société\n•\nVous pouvez vous attendre à de nombreux avantages, tels que des abonnements aux transports publics et du covoiturage, une large gamme de sports proposés par l'ASVZ, la garde d'enfants et des prestations de retraite attractives\nTravailler, enseigner et faire de la recherche à l'ETH Zurich\nNous valorisons la diversité et la durabilité\nConformément à nos valeurs, l'ETH Zurich encourage une culture inclusive. Nous promouvons l'égalité des chances, valorisons la diversité et favorisons un environnement de travail et d'apprentissage où les droits et la dignité de tout notre personnel et de nos étudiants sont respectés. Visitez notre site sur l'Égalité des chances et la Diversité pour découvrir comment nous assurons un environnement juste et ouvert qui permet à chacun de grandir et de s'épanouir. La durabilité est une valeur fondamentale pour nous - nous travaillons constamment vers un avenir climatiquement neutre.\nCurieux ? Nous aussi.\nNous attendons avec impatience votre candidature en ligne avec les documents suivants :\n•\nCurriculum vitae\n•\nUn relevé de notes complet incluant les cours de premier et deuxième cycle\n•\nCopies des diplômes/certificats\n•\nCoordonnées de 2-3 référents potentiels\n•\nUne brève description des intérêts de recherche\nVeuillez noter que nous ",
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    "title": "Postdoctoral Researcher: Hydraulic stimulation and proppant behaviour in crystalline rock",
    "description": "myScience ouvre un poste de Postdoctoral Researcher: Hydraulic stimulation and proppant behaviour in crystalline rock a Zurich.\n\nPostdoctorant à l'ETH Zurich sur la stimulation hydraulique.\nTâches\n•\nMener des expériences sur le comportement des proppants.\n•\nÉvaluer les stratégies de stimulation dans les roches cristallines.\n•\nCollaborer avec des partenaires sur des projets européens.\nCompétences\n•\nDoctorat en géologie, géophysique ou domaine connexe.\n•\nConnaissances en mécanique des roches et hydro-géologie.\n•\nCompétences en modélisation numérique et programmation.\nPostdoctoral Researcher: Hydraulic stimulation and proppant behaviour in crystalline rock\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nEnvironment | Earth Sciences\nPosition\nSenior Scientist / Postdoc\nPublished\n13 April 2026\nPostdoctoral Researcher: Hydraulic stimulation and proppant behaviour in crystalline rock\n100%, Zurich, fixed-term\nThe Chair of Engineering Geology and the BedrettoLab at ETH Zurich invites applications for a Postdoctoral Researcher position within the European research project UPLIFT, focusing on environmentally friendly hydraulic stimulation technologies in crystalline rock formations. The position is based at ETH Zurich and involves experimental research at the Bedretto Underground Laboratory. Hydraulic stimulation is a key technology for enhancing permeability in geothermal reservoirs. While multi-stage stimulation using proppants and chemical additives is widely applied in the oil and gas industry, its acceptance in Europe remains limited due to environmental concerns. Water-only stimulation approaches are more commonly accepted, yet their effectiveness compared to proppant-based methods particularly in crystalline rock remains insufficiently understood. The Bedretto Underground Laboratory provides a unique, highly instrumented environment to investigate coupled seismo-hydro-thermo-mechanical processes during hydraulic stimulation. Within the UPLIFT project, controlled laboratory and field-scale experiments will be conducted to evaluate water-only, proppant-based, and chemically assisted stimulation techniques. The goal is to develop safe, efficient, and environmentally acceptable stimulation strategies for geothermal applications across Europe.\nJob description\n•\nPlan, conduct and analyse hydraulic stimulation experiments including proppant in vertical and horizontal boreholes (30-120 m scale) to investigate proppant transport, placement efficiency, and interaction with natural fracture networks\n•\nAssess the effectiveness of different stimulation strategies and proppant placement approaches under varying geological conditions in terms of permeability enhancement and fracture geometry\n•\nCollaborate with project partners performing small-scale laboratory experiments (GFZ) regarding joint interpretations and recommendations for the design full-scale hydraulic stimulation operations (e.g., Litomerice site and other European contexts)\n•\nContribute to project deliverables and reporting, publish results in peer-reviewed journals and present findings at international conferences\n•\nCollaborate closely with project UPLIFT partners (GFZ, various industry partners) and support coordination between experimental, modelling, and field activities\nProfile\n•\nPhD in Engineeing Geology, Geophysics, Geomechanics, Earth Sciences, Physics, Engineering, or a related field\n•\nStrong background in rock mechanics, hydrogeology, or reservoir engineering\n•\nParcours professionnel with laboratory experiments and/or fieldwork in subsurface environments\n•\nWillingness to participate in underground field campaigns\n•\nSkills in numerical modelling (e.g., fracture mechanics, fluid flow)\n•\nStrong programming skills (e.g., Python, MATLAB, or similar)\n•\nParcours professionnel with seismic or fibre-optic sensing data is an asset\n•\nAbility to work independently and lead research tasks within a collaborative environment\n•\nExcellent communication skills in English\nWorkplace\nWe offer\n•\nA fully funded postdoctoral position (initially 2 years, with possible extension)\n•\nEmployment according to ETH Zurich regulations\n•\nAccess to unique underground research infrastructure at BedrettoLab\n•\nA dynamic, interdisciplinary and international research environment with strong links to academia and industry\n•\nOpportunities to lead publications and develop an independent research profile\n•\nParticipation in international collaborations within a major European project\nSupervision and Environment\nThe postdoctoral researcher will be hosted at the Chair of Engineering Geology at ETH Zurich and collaborate strongly with the BedrettoLab Team and the Swiss Seismological Service. She/he will work within a multidisciplinary consortium involving academic and industrial partners across Europe. The position offers close interaction with experts in geophysics, geomechani",
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    "title": "PhD Position: Order-from-Disorder in Frustrated Quantum Magnets",
    "description": "myScience ouvre un poste de PhD Position: Order-from-Disorder in Frustrated Quantum Magnets a Zurich.\n\nETH Zurich est a la recherche de un doctorant en magnétisme quantique. Opportunité unique au sein d'un environnement de recherche dynamique.\nTâches\n•\nÉtudier des matériaux magnétiques par diffusion de neutrons.\n•\nCaractériser des échantillons par diffraction et spectroscopie.\n•\nCollaborer sur l'analyse de données expérimentales complexes.\nCompétences\n•\nFormation en physique quantique et expérience en laboratoire requises.\n•\nCompétences en analyse de données expérimentales.\n•\nSolides connaissances en physique théorique.\nPhD Position: Order-from-Disorder in Frustrated Quantum Magnets\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nPhysics | Environment\nPosition\nJunior Researcher / PhD Position\nPublished\n1 April 2026\nPhD Position: Order-from-Disorder in Frustrated Quantum Magnets\n100%, Zurich, fixed-term\nThe Neutron Scattering and Magnetism Group, Physics Department, ETH Zurich, is currently looking to fill a PhD position on experimental studies of frustrated quantum magnets using neutron scattering, uSR and other techniques.\nGeometric frustration in quantum systems leads to a tight competition between qualitatively new collective spin states, such as topological structures, quantum spin liquids, multipolar ordered phases and spin-supersolids, to name only a few. Each state is characterized by its own set of elementary excitations that often have no analogue in semi-classical physics.\nThe winner of this competition is usually determined by mechanisms known as thermal and quantum order-from-disorder. Controlling these offers a way to manipulate and study such exotic systems. The successful candidate will realize this control experimentally in carefully selected prototypical magnetic materials.\nJob description\n•\nThe work will involve synthesis and growth of single crystal samples, as well as their characterization with X-ray diffraction\n•\nThe samples will be further characteried with optical spectroscopy experiments, as well as magnetothermodynamic, magnetomechanical and magnetoacoustic measurements at mK-temperatures and high magnetic fields, using equipment available in our laboratory\n•\nThe research will culminate in neutron scattering, ultra-high-field, and muon spin rotation studies at state of the art large-scale user facilities in Switzerland, France, Germany, UK, Japan and the USA\n•\nData analysis and modeling will be done in collaboration with research groups that specialize in theoretical and numerical calculations\nProfile\n•\nThe successful candidate is expected to be actively involved in every phase of the project and to take the lead whenever possible\n•\nNo prior background in neutron scattering is required, but a solid background in laboratory work and analysis of experimental data is a must\n•\nSince the project is based around rather complex concepts in modern physics, a solid theoretical background in quantum mechanics, statistical physics and quantum solid state physics is absolutely essential\n•\nGood computer 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 application with the following documents:\n•\nCV\n•\nAll certificates\n•\nTranscripts\n•\nA statement of research interests\n•\nThe names and contact details of two referees\nFurther information on NSM and its research and infrastructure can be found on our website . Questions regarding the position should be directed to Prof. Andrey Zheludev, email:\nE-Mail schreiben\n(no applications).\nPlease note that we exclusively accept applications submitted through our online application portal. Applications via postal services will not be considered.\nApply online now\nETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 3",
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    "title": "Postdoc in Resilient Satellite Navigation (GNSS)",
    "description": "myScience recrute un(e) Postdoc in Resilient Satellite Navigation (GNSS) a Zurich.\n\nPostdoc en navigation satellite résiliente à l'ETH Zurich.\nTâches\n•\nDévelopper des logiciels GNSS avec optimisation par graphes.\n•\nImplémenter des stratégies de fusion multi-capteurs.\n•\nAvancer le traitement GNSS en temps réel contre le brouillage.\nCompétences\n•\nDoctorat en géodésie ou domaine connexe requis.\n•\nCompétences en programmation (Python, C++) nécessaires.\n•\nCapacité à travailler en équipe interdisciplinaire essentielle.\nPostdoc in Resilient Satellite Navigation (GNSS)\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nComputer Science | Environment\nPosition\nSenior Scientist / Postdoc\nPublished\n7 April 2026\n100%, Zurich, fixed-term\nAre you passionate about advancing the frontiers of resilient navigation to tackle the growing challenges of signal interference? Are you an expert in GNSS processing, eager to integrate cutting-edge multi-sensor fusion and AI technologies?\nJoin our young and dynamic team at the Chair of Space Geodesy , led by Prof. Benedikt Soja . We are at the forefront of developing innovative methods for space- and ground-based geodetic and navigation applications, with the goal of enabling high-precision, continuous, and real-time positioning. Our team has gained prominence for our work in applying machine learning to PNT (Positioning, Navigation, and Timing) and geomonitoring challenges, including signal characterization and anomaly detection.\nProject background\nWe are looking for a highly motivated researcher to lead our efforts in Resilient Navigation. As global reliance on GNSS grows, so does the need for systems that can withstand jamming, spoofing, and complex environments. This position focuses on developing next-generation navigation software and multi-sensor fusion strategies to ensure precision and reliability in challenging scenarios.\nJob description\nThe successful candidate will lead GNSS-based research within our group and support existing projects related to GNSS and PNT. Key responsibilities include:\n•\nSoftware Development: Developing GNSS software using Factor Graph Optimization (FGO) based on existing open-source software packages\n•\nSensor Fusion: Implementing multi-sensor fusion strategies\n•\nResilience: Advancing real-time GNSS processing with a primary focus on the detection, characterization, and mitigation of jamming and spoofing scenarios\n•\nAI Integration: Exploring the integration of AI/ML concepts to enhance navigation resilience together with other group members\n•\nHardware & Simulation: Working with both high-grade and low-cost GNSS equipment and utilizing a GNSS signal simulator (Spirent)\n•\nAcademic Leadership: Leading and co-authoring high-impact publications and participating in the preparation of grant applications\n•\nTeaching & Supervision: Supporting the lectures \"GNSS\" and \"Navigation\" (full course materials exist) and contributing to the supervision of PhD and Master students\nProfile\nRequired Background:\n•\nPhD in Geodesy, Geomatics, Aerospace Engineering, Signal Processing, or a related field\n•\nProven parcours professionnel in GNSS data analysis and processing\n•\nVery good programming skills (e.g., Python, C++)\n•\nFluency in English\nPeople Skills & Attributes:\n•\nStrong analytical mindset with hands-on problem-solving abilities\n•\nComfortable working in interdisciplinary teams\n•\nSelf-motivated, structured, and curious about emerging AI technologies\nAdvantageous:\n•\nParcours professionnel with Factor Graph Optimization, multi-sensor fusion methods, or AI/ML applications\n•\nCH/EU/EFTA citizenship or a valid Swiss work permit\n•\nProficiency in German\nWorkplace\nWe offer\n•\nUnique access to high-grade and low-cost GNSS networks in Switzerland and beyond\n•\nIndependent research at a world-leading academic institution\n•\nA dynamic and international team that embraces fresh perspectives\n•\nA supportive and inclusive work environment that fosters professional growth and development\n•\nOpportunities to attend conferences and collaborate with international experts\n•\nSalary and benefits according to ETH Zurich standards\n•\nFlexible working hours with the option for part-time home office\n•\nAn attractive workplace surrounded by nature with quick access to the city center\nThis position is offered as a 100% Postdoc or, for candidates with an advanced track record, as an Established Researcher (\"Oberassistent\").\nInitial contract duration of 2 years, with a possibility for extension. The ideal starting date is 1 July 2026 or earlier.\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 E",
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    "@id": "https://ch-jobs.com/job/phd-position-seismic-detection-localization-and-characterization-of-explosion-events-in-underground-ammunition-storage-facilities#jobposting",
    "title": "PhD Position: Seismic Detection, Localization and Characterization of Explosion Events in Underground Ammunition Storage Facilities",
    "description": "Vous cherchez un emploi de PhD Position: Seismic Detection, Localization and Characterization of Explosion Events in Underground Ammunition Storage Facilities a Zurich ? myScience recrute.\n\nETH Zurich recherche un doctorant en détection sismique.\nTâches\n•\nConduire des campagnes expérimentales sur des explosions contrôlées.\n•\nConcevoir un réseau de capteurs dans des installations souterraines.\n•\nDévelopper des algorithmes de détection et de localisation avancés.\nCompétences\n•\nDiplôme MSc en géophysique, sismologie ou domaine connexe.\n•\nCompétences analytiques et en programmation (Python).\n•\nExpérience en analyse de données sismiques appréciée.\nPhD Position: Seismic Detection, Localization and Characterization of Explosion Events in Underground Ammunition Storage Facilities\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nEarth Sciences | Innovation\nPosition\nJunior Researcher / PhD Position\nPublished\n8 April 2026\nPhD Position: Seismic Detection, Localization and Characterization of Explosion Events in Underground Ammunition Storage Facilities\n100%, Zurich, fixed-term\nThe Swiss Seismological Service (SED) at ETH Zurich invites applications for a PhD position within a multi-year applied research project on the detection, localization and interpretation of explosion events in underground ammunition storage facilities. The position is embedded in a collaborative project with armasuisse Science and Technology and partners from industry and the Swiss Armed Forces. The research contributes to the scientific foundation of monitoring and rapid altering systems for underground infrastructure.\nProject background\nSeismic and fiber-optic sensing technologies offer promising solutions for the real-time detection, localization and characterization of explosions and related hazardous events in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries.\nThe research will be conducted in close collaboration between BedrettoLab run by ETH and the underground test facilities Hondrich run by armasuisse. The project spans between 2026 and 2029 and includes experimental campaigns, field installations and data collection, data processing, algorithm development and system optimization.\nJob description\n•\nExperimental Campaigns and Sensor Evaluation: Design and analysis of controlled test explosions in the BedrettoLab, evaluation of seismic sensors (e.g., different types of seismometers as well as distributed acoustic sensing technology)\n•\nDesign and Installation of a Multi-Sensor Monitoring Network in the Hondrich underground test facilities: Definition of optimal sensor geometry, participation in field installations, calibration of velocity models using controlled test events and quality control of data acquisition\n•\nAlgorithm Development: Integration of multi-sensor data streams into seismological software frameworks (e.g., SeisComP), wave propagation modeling in complex 3D geometries, development and optimization of event detection algorithms, high-precision localization methods, event magnitude as well as source characterization techniques, and contributions to the implementation of real-time alarm systems\n•\nContributions to implementation of cost-optimized alarm system: Cost-benefit optimiziation of reduced sensor layouts, optimization of simple-to-use monitoring concepts for future underground facilities, and close collaboration with various stakeholders (engineering companies, Swiss Armed Forces, armasuisse, international collaborators) to ensure efficient roll-out of the system\nProfile\n•\nMSc degree in Geophysics, Seismology, Earth Sciences, Physics, Engineering, or a related field\n•\nStrong quantitative and analytical skills as well as programming skills (Python required; experience with seismic data processing is advantageous)\n•\nInitial parcours professionnel seismic data analysis and/or wave propagation modelling is an asset\n•\nWillingness to participate in field campaigns in underground facilities\n•\nInterest in field experiments and applied research.\n•\nMindset for practical and efficient project implementation\n•\nMotivation to work in an interdisciplinary and practice-oriented environment\nWorkplace\nWe offer\n•\nA fully funded PhD position (up to 4 years)\n•\nEmployment according to ETH Zurich regulations\n•\nAccess to the Bedretto Underground Laboratory\n•\nA collaborative environment bridging research, field experiments, and real-world applications\n•\nOpportunities for publications and international conference participation\n•\nExcellent analytical skills\n•\nStrong communication skills ideally in German and English\nSupervision and Environment\nThe candidate will be supervised by senior scientists at the Swiss Seismological Service, ETH Zurich, and ",
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    "title": "PhD position: Examining the thresholds in past Atlantic ocean circulation using stalagmite geochemistry",
    "description": "Vous cherchez un emploi de PhD position: Examining the thresholds in past Atlantic ocean circulation using stalagmite geochemistry a Zurich ? myScience recrute.\n\nETH Zurich propose un poste de doctorat en géochimie des stalagmites. Ce projet offre une formation unique dans un environnement dynamique.\nTâches\n•\nPlanifier et interpréter des données de cherche géochimiques.\n•\nCollaborer avec une équipe de recherche internationale.\n•\nParticiper à des conférences et publier des résultats scientifiques.\nCompétences\n•\nMaster en sciences de la Terre ou climat avec expérience en géochimie.\n•\nCompétences quantitatives et en analyse de données.\n•\nCapacité à travailler en équipe interdisciplinaire.\nPhD position: Examining the thresholds in past Atlantic ocean circulation using stalagmite geochemistry\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nEarth Sciences | Environment\nPosition\nJunior Researcher / PhD Position\nPublished\n23 March 2026\nPhD position: Examining the thresholds in past Atlantic ocean circulation using stalagmite geochemistry\n100%, Zurich, fixed-term\nIf you are intruigued by study of past climate, enjoy having your hands on samples in the lab and generating new geochemical data, and are a quantitative thinker, you might be interested in this PhD project. The Atlantic Meridional Overturning Circulation (AMOC) is a major artery of global heat transport affecting European and global climate, which has substantially weakened dozens of times in the last several hundred thousand years and then recovered within centuries to millennial. This PhD position contributes to our ongoing research to diagnose the causes for these abrupt weakenings and the factors which allowed AMOC to recover. The project is generating new geochemical records from stalagmites which grew in coastal caves, to reconstruct the phasing of changes in the North Atlantic salinity relative to AMOC variations, and interpreting them with the aid of process models and experiments with tracers in atmosphere-\nocean general circulation experiments.\nJob description\n•\nAs a PhD candidate, you will plan, generate, and interpret new research data; you will present data to scientific colleagues in workshops and conferences, and you will prepare your research findings for publication in scientific journals\n•\nYou will collaborate with a research team at ETH and at other institutions\n•\nFor the research, you will travel abroad for research stays to conduct U/Th dating of stalagmites, and for training in model-data comparisons\n•\nAdditionally, you will increase your training by taking the required courses (12KP) in disciplinary and transversal skills\n•\nFinally, a department requirement is that all PhD candidates must dedicate up to 10% of employment time to service to the department, generally by contributing to department teaching activities; this responsibility also builds communication and management skills of PhD candidates\nProfile\n•\nYou have completed a Master’s Degree relevant to Paleoclimate study (e.g Earth Science, or Atmosphere and Climate study in Physics or Geography realm)\n•\nYou have prior course experience in paleoclimate\n•\nYou have prior course and research parcours professionnel in geochemistry laboratory analysis, including generating isotopic or trace element data\n•\nYou have strong quantitative skills and comfort with coding, and good analytical thinking\n•\nYou are committed to working in an interdisciplinary team blending climate modeling, geochemical process models, and new geochemical data\n•\nYou have strong skills and committment to growth in academic writing\nWorkplace\nWe offer\nThis PhD project provides the opportunity to gain a broad training in leading geochemistry laboratory, developing and working with process models, and working with results from general circulation models of climate, as part of an international team working on pioneering methodology. ETH offers access to outstanding analytical resources with excellent technical support. Regular co-writing and writing retreats provide support in the challenging tasks of original scientific writing.\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? 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    "title": "PhD position on high-order harmonic generation spectroscopy in noble-gas liquids",
    "description": "Rejoignez myScience en tant que PhD position on high-order harmonic generation spectroscopy in noble-gas liquids a Zurich.\n\nPoste de doctorat à l'ETH Zurich sur la spectroscopie HHG.\nTâches\n•\nConcevoir et réaliser des expériences sur la génération harmonique.\n•\nDévelopper des systèmes de jets liquides cryogéniques.\n•\nAnalyser les données pour étudier la proactif électronique.\nCompétences\n•\nMaster en physique ou chimie physique requis.\n•\nIntérêt pour la science laser ultrarapide.\n•\nCompétences en programmation scientifique souhaitées.\nPhD position on high-order harmonic generation spectroscopy in noble-gas liquids\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nPhysics | Environment\nPosition\nJunior Researcher / PhD Position\nPublished\n28 April 2026\nPhD position on high-order harmonic generation spectroscopy in noble-gas liquids\n100%, Zurich, fixed-term\nWe are offering a PhD position in attosecond science and strong-field physics at the Laboratory of Physical Chemistry, ETH Zürich. The project focuses on high-order harmonic generation (HHG) in noble-gas liquids, in particular liquid helium. This research aims to explore a new regime of ultrafast electron dynamics in condensed matter and to bridge the gap between gas-phase and liquid-phase HHG. The position offers the opportunity to work at the forefront of attosecond spectroscopy using state-of-the-art ultrafast laser systems and cryogenic technology. This 4-year PhD position is funded by our SNSF grant.\nProject background\nHigh-order harmonic generation has become a cornerstone of attosecond science, enabling the observation of electron dynamics on their natural timescales. While HHG is well understood in gases and increasingly explored in solids, its extension to liquids offers intriguing opportunities to study electron scattering and delocalization properties. Noble-gas liquids, and liquid helium in particular, provide a unique platform: they combine the simplicity of atomic systems with the density of condensed matter. Their relatively long electron mean free paths offer access to a regime where strong-field physics can be studied under conditions intermediate between gases and molecular liquids. This project aims to establish HHG spectroscopy in noble liquids, investigate the role of electron scattering and coherence, and explore new phenomena such as HHG in the superfluid phase of helium.\nJob description\n•\nDesign and perform experiments on high-order harmonic generation in liquid and gas-phase targets\n•\nDevelop and operate cryogenic liquid-jet systems for noble-gas liquids\n•\nImplement advanced ultrafast laser techniques (e.g., few-cycle pulses, two-colour fields, CEP stabilization)\n•\nAnalyze experimental data to extract information on electron dynamics (cut-off scaling, phase, emission times)\n•\nContribute to the development of new experimental methods in attosecond spectroscopy\n•\nPresent results at international conferences and publish in high-impact journals\nProfile\n•\nMaster’s degree in physics, physical chemistry, or a closely related field\n•\nStrong interest in ultrafast laser science, attosecond physics, or strong-field phenomena\n•\nExperimental skills and motivation to work on complex laboratory setups\n•\nAbility to work independently and as part of a collaborative research team\n•\nGood communication skills in English (spoken and written)\nExperience in one or more of the following areas is an advantage: ultrafast optics, nonlinear optics, HHG/strong-\nfield physics, vacuum technology, spectroscopy, or scientific programming (Python, MATLAB).\nWorkplace\nWe offer\n•\nA fully funded PhD position at ETH Zürich, one of the world’s leading universities\n•\nAccess to state-of-the-art ultrafast laser systems and experimental infrastructure\n•\nA stimulating, international research environment with strong collaborations\n•\nOpportunities to attend international conferences and build a scientific network\n•\nSupervision and training in cutting-edge experimental techniques in attosecond science\n•\nAttractive working conditions and benefits according to ETH Zürich standards\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•\nCV\n•\ntranscripts\n•\na brief statement of research interests\n•\ncontact details of referees or letters",
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    "title": "PhD Candidate Position in Climate Extremes and Migration Research",
    "description": "Rejoignez myScience en tant que PhD Candidate Position in Climate Extremes and Migration Research a Zurich.\n\nOpportunite de doctorant à l'ETH Zurich sur les extrêmes climatiques. Rejoignez une équipe dynamique et interdisciplinaire.\nTâches\n•\nAnalyser comment les extrêmes climatiques influencent la migration.\n•\nCombiner des données sur la migration et le climat pour des études.\n•\nDévelopper des sujets de cherche en collaboration transdisciplinaire.\nCompétences\n•\nMaster en sciences sociales, formation quantitative requise.\n•\nCompétences en programmation statistique, idéalement en R.\n•\nIntérêt pour l'impact climatique et les migrations.\nPhD Candidate Position in Climate Extremes and Migration Research\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nEnvironment | Social Sciences\nPosition\nJunior Researcher / PhD Position\nPublished\n29 April 2026\n100%, Zurich, fixed-term\nThe Public Policy Group and the Immigration Policy Lab at ETH Zurich invite applications for a PhD candidate position starting in September 2026 or on a mutually agreed date. You will be part of a collaborative and interdisciplinary research team studying migration and public policy with quantitative social science methods. Your PhD project sits at the nexus of migration research and climate extremes and is embedded in the NCCR CLIM+ research program on Climate Extremes and Society , a major research initiative that brings together researchers across disciplines and Swiss institutions to study climate extremes and strengthen societal resilience. Building on the Immigration Policy Lab’s expertise in migration, your research will extend our agenda into this new area by examining how climate-related shocks may affect mobility across and within borders.\nJob description\nWe are looking for a PhD candidate to contribute to our research program on climate extremes and migration.\n•\nThe project aims to provide causal evidence on whether and how climate extremes influence migration, an area where existing evidence remains limited\n•\nOne core component of the position will involve combining global migration data with high-resolution climate-extremes data and credible identification strategies to examine how environmental shocks influence different forms of migration, including asylum seeking, refugee movements, and labor migration\n•\nBeyond this project, you will have flexibility to independently develop additional research topics aligned with the mission of IPL and the NCCR CLIM+\n•\nThe position is located in the team of Dominik Hangartner at ETH Zurich, with opportunities to collaborate with affiliated researchers across the NCCR CLIM+ program\n•\nIn addition to research, you will have small administrative and teaching responsibilities amounting to 10% of your time\nProfile\nStrong candidates will have most of the following:\n•\nMaster’s degree in a social science program with a preference for Political Science, Economics, Sociology, Data Science, Computational Social Science, or in a closely related discipline\n•\nStrong quantitative training and knowledge of statistical methods for causal inference from observational data\n•\nStrong command of a statistical programming language (preferably R), and ability to use modern coding tools effectively\n•\nExperience with geospatial data\n•\nBackground or interest in studying migration, forced displacement, asylum processes, climate change, climate impacts, and related topics\n•\nAbility to collaborate effectively with project team members\n•\nInterest in transdisciplinary collaboration across the social and natural science\n•\nProficiency and excellent writing skills in English\n•\nExperience of or interest in translating basic research into policy-relevant insights\nWorkplace\nWe offer\n•\nHighly collaborative work environment within a very motivated and supportive team\n•\nOpportunity to develop a network with academics and practitioners\n•\nCareer mentoring by experienced researchers\n•\nSalary and pension benefits according to ETH standards\n•\nResearch and travel allowance\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•\nCover letter\n•\nCV\n•\nAcademic transcripts\n•\nA writing sample (e.g. Masters thesis)\n•\nTwo confidential letters of recommendation should be sent directly to selina.kurer@\n",
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    "title": "PhD position in Crop Phenotyping (PhenoMix project)",
    "description": "Nouvelle opportunite : PhD position in Crop Phenotyping (PhenoMix project) chez myScience (Zurich).\n\nETH Zurich propose un position de doctorat en phénotypage des cultures.\nTâches\n•\nCollecte de données HTFP à l'aide de divers dispositifs.\n•\nConception d'un robot de phénotypage pour l'acquisition de données.\n•\nAmélioration des workflows et modèles de phénotypage.\nCompétences\n•\nMaster en sciences agricoles, données ou ingénierie requis.\n•\nCompétences statistiques solides et expérience en programmation.\n•\nCapacité à travailler en équipe interdisciplinaire.\nPhD position in Crop Phenotyping (PhenoMix project)\nEidgenossische Technische Hochschule Zürich, ETHZ\nWorkplace\nZurich\n- Zurich region - Switzerland\nCategory\nAgronomy & Food Science | Environment\nPosition\nJunior Researcher / PhD Position\nPublished\n13 April 2026\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.\nProject background\nPhenoMix is a joint project of four research groups at ETH Zurich, the Swiss Data Science Center and Agroscope. The overall objective of PhenoMix is to test the hypothesis that current high throughput field phenotyping (HTFP) technology in combination with plant physiological assessments and data science can provide a breakthrough to determine genotypes that can be successfully combined in agroecologically beneficial legume-cereal mixtures. Different varieties of pea and lentil as well as wheat, oats and barley will be grown under our field phenotyping platform FIP ( FIP - Crop Science ETH Zurich ), on a neighbouring experimental field and on farmer’s fields. PhenoMix Work Packages address phenotyping, plant ecophysiology, data science, and agro-economic assessments with four doctoral students, two postdocs and several technicians assigned to those work packages. The Crop Phenotyping doctoral student will contribute to collecting HTFP data, improving phenotyping workflows and developing a field robot for lean phenotyping.\nJob description\nThis doctoral project will form an important cornerstone in the mosaic of the entire project with specific tasks depending on skills, interests and alignment with at least two postdoctoral projects for which recruiting is also going on currently. Overall tasks of the project include:\n•\nCollection of HTFP data from various phenotyping devices such as the FIP (multi-view RGB imaging), drones, handheld and manual devices\n•\nContribution to the design and/or establishment of a phenotyping robot that can acquire data from RGB cameras and potentially other sensors\n•\nImproving phenotyping workflows and models to extract traits such as canopy height, canopy cover, tillering, reflectance, senescence or growth dynamics from this data\n•\nPerforming statistical analyses, including AI-based approaches\n•\nPresentation of results at national and international events and publication in peer-reviewed journals\n•\nAssistance in plot establishment, maintenance, and harvest across all Work Packages of PhenoMix.\nProfile\n•\nA Master’s degree in agricultural, data or engineering sciences, or a closely related field\n•\nExperience with fieldwork\n•\nGood statistical skills\n•\nProgramming parcours professionnel (e.g. in R or Python)\n•\nGood standard of written and spoken English\n•\nGood writing skills\n•\nDriver’s license\n•\nAbility to work in a team with an interdisciplinary background\n•\nExperience in crop phenotyping 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 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. 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    "description": "myScience ouvre un poste de Poste de doctorant a Zurich.\n\nRole de doctorant chez IBM Zurich, laboratoire de est a la recherche de renommé. Opportunité de recherche de pointe en IA multimodale.\nTâches\n•\nConcevoir des systèmes pour des applications IA multimodales.\n•\nDévelopper des mécanismes de routage de workflows inter-moteurs.\n•\nOptimiser des pipelines IA avec des techniques avancées.\nCompétences\n•\nDiplôme de master en informatique ou domaine connexe requis.\n•\nSolides compétences en programmation (C++, Python, etc.).\n•\nExpérience en systèmes distribués et bases de données.\nPoste de doctorant\nIBM Zurich Research Laboratory\nLieu de metier\nZurich\n-\nrégion de Zurich\n-\nSuisse\nCatégorie\nInformatique\nPoste\nChercheur junior / Poste de doctorant\nPublié\n15 mars 2026\nOffre d'emploi de doctorant\nSystèmes de données de nouvelle génération pour applications d'IA multimodale\nRéf. 2026_010\nLieu :\nIBM Research Europe, Suisse\nFinancement :\nEntièrement financé par le Fonds national suisse de la recherche scientifique (FNS)\nPartenaires académiques :\nHaute école spécialisée de Zurich et doctorat via l'Université de Zurich\nIntroduction\nLes avancées récentes en IA transforment la manière dont les applications complexes sont construites. Les systèmes modernes combinent de plus en plus\ngrands modèles de langage (LLM), modèles de vision, recherche vectorielle, systèmes de récupération et analyses de données à grande échelle\ndans des chaînes intégrées. Ces charges de travail multimodales sont exécutées à travers un écosystème hétérogène de moteurs de traitement et d'accélérateurs matériels, incluant des frameworks de traitement de données distribuées, des environnements d'exécution ML, des bases de données vectorielles et des systèmes d'inférence basés sur GPU.\nSupporter ces charges de metier efficacement nécessite une nouvelle génération de\nsystèmes de données\ncapables d'orchestrer des composants divers à travers des moteurs et matériels hétérogènes.\nChez IBM Research Europe - Zurich, nous étudions les fondations des\nsystèmes de nouvelle génération pour applications d'IA multimodale.\nCela inclut des architectures capables de router dynamiquement les tâches entre moteurs hétérogènes, d'optimiser les stratégies d'exécution et de gérer efficacement les ressources de calcul entre CPU, GPU et accélérateurs matériels spécialisés.\nCe projet de doctorat se concentre sur les\nsystèmes pour flux de activite d'IA multimodale\n, explorant comment des chaînes complexes impliquant raisonnement LLM, modèles de vision et analyses de données peuvent être automatiquement optimisées et exécutées sur plusieurs moteurs.\nVotre rôle et responsabilités\nEn tant que doctorant, vous concevrez et développerez des systèmes de nouvelle génération pour l'infrastructure d'IA multimodale. Votre profession pourra inclure :\n•\nDévelopper des architectures supportant\nles chaînes d'IA multimodale.\n•\nConcevoir des\nmécanismes de routage de flux de travail inter-moteurs\nqui sélectionnent dynamiquement le meilleur moteur d'exécution pour chaque composant d'une charge de travail.\n•\nÉtudier des\ntechniques d'optimisation pour les chaînes d'IA,\nincluant des optimiseurs analytiques et basés sur l'apprentissage pour des systèmes hétérogènes tels que bases de données relationnelles (ex. PostgreSQL, DuckDB) et frameworks de traitement de données distribuées (ex. Spark, Presto).\n•\nConstruire des\nmécanismes de gestion des ressources et d'ordonnancement\npour environnements matériels hétérogènes (CPU, GPU, accélérateurs matériels).\n•\nPermettre l'exécution efficace de\nflux de travail IA\n, où plusieurs modèles et outils interagissent dynamiquement pour résoudre des tâches complexes.\n•\nImplémenter des prototypes de systèmes et les évaluer sur des charges de metier réalistes d'IA et de données.\nLa est a la recherche de fera le lien entre idées issues des systèmes de bases de données, systèmes distribués et systèmes d'apprentissage automatique.\nVotre profil\nNous recherchons des candidats très motivés intéressés par la\nrecherche en systèmes pour soutenir les applications d'IA multimodale.\nQualifications requises\n•\nMaster en informatique, IA, ingénierie des données ou domaine connexe\n•\nSolide expérience en systèmes distribués, bases de données ou systèmes d'apprentissage automatique\n•\nCompétences solides en programmation (ex. C++, Rust, Java ou Python)\n•\nIntérêt pour la publication dans des conférences majeures en systèmes et systèmes pour IA telles que VLDB, SIGMOD, CIDR, EuroSys, OSDI ou MLSys\nExpérience souhaitée\n•\nBases de données relationnelles (ex. PostgreSQL, MariaDB, DuckDB) et frameworks de traitement de données distribuées (ex. Spark, Ray, Flink)\n•\nTraitement de requêtes ou optimisation de systèmes\n•\nInfrastructure ML ou systèmes LLM\n•\nOrdonnancement des ressources ou gestion de ",
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