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Posts tagged #PhDAlert

#PhDAlert! MsC in #Ecology, #Forestry or #Biology, experience with #FieldWork & #XylobiontDiversity, #DeadwoodDecomposition and #CarbonCycles? jobs.bfh.ch/offene-stell... 5/5

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#PhDAlert in soil carbon biochemistry! MSc in #EnvironmentalSciences, #SoilScience or #Microbiology & interested in the transfer of deadwood-derived #carbon into #soil? apply.refline.ch/273855/1818/... #ScienceJobs 4/5

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#PhDAlert! MSc in #Geosciences, #EnvironmentalSciences or #ForestManagement? Interested in 3d multi-scale remote sensing & creating a plot-level workflow for deadwood quantity & quality assessment? apply.refline.ch/273855/1819/... #ScienceJobs 3/5

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Job offer:
PhD student in Sustainable Hydraulic Structures in Torrents 100% (f/m/d)

You will investigate the interaction of bedload and large wood in sediment retention basins (sediment traps). The project aims to develop design recommendations that ensure sediment continuity during small floods, while guaranteeing a safe and robust retention of bedload and wood during large floods and overload scenarios. Your work will include field measurements at selected sediment traps to characterize the flow, bedload, and wood transport processes. In addition, laboratory experiments will be conducted at the Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich to study the mechanical retention of wood and sediment at racks, nets, and guiding structures, and the functioning of the complete sediment trap system under various flood scenarios. An important aspect of your work will be to combine field data and laboratory experiments to derive robust and transferable design principles. You will publish your findings in peer-reviewed journals in English and a practice-oriented report in German or French and present them at international scientific conferences in English as well as practitioner meetings in German or French.

For this position, you must hold a master's degree in civil engineering, environmental engineering or environmental sciences. You are curious, dedicated and interested in both practical hydraulic engineering issues and detailed sediment and wood transport processes. With your practical commitment, you will be actively involved in laboratory and field work. You must be able communicate fluently in English and have a minimum B2 level of German or French. Basic programming skills (e.g., Python and/or Matlab) are expected. Your workplace and main supervisor will be at the Swiss Federal Research Institute WSL in Birmensdorf (approx. 20 min outside of Zurich).

Job offer: PhD student in Sustainable Hydraulic Structures in Torrents 100% (f/m/d) You will investigate the interaction of bedload and large wood in sediment retention basins (sediment traps). The project aims to develop design recommendations that ensure sediment continuity during small floods, while guaranteeing a safe and robust retention of bedload and wood during large floods and overload scenarios. Your work will include field measurements at selected sediment traps to characterize the flow, bedload, and wood transport processes. In addition, laboratory experiments will be conducted at the Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich to study the mechanical retention of wood and sediment at racks, nets, and guiding structures, and the functioning of the complete sediment trap system under various flood scenarios. An important aspect of your work will be to combine field data and laboratory experiments to derive robust and transferable design principles. You will publish your findings in peer-reviewed journals in English and a practice-oriented report in German or French and present them at international scientific conferences in English as well as practitioner meetings in German or French. For this position, you must hold a master's degree in civil engineering, environmental engineering or environmental sciences. You are curious, dedicated and interested in both practical hydraulic engineering issues and detailed sediment and wood transport processes. With your practical commitment, you will be actively involved in laboratory and field work. You must be able communicate fluently in English and have a minimum B2 level of German or French. Basic programming skills (e.g., Python and/or Matlab) are expected. Your workplace and main supervisor will be at the Swiss Federal Research Institute WSL in Birmensdorf (approx. 20 min outside of Zurich).

⛰️🪵🌊 #PhDAlert! MSc in #CivilEngineering, #EnvironmentalEngineering or #EnvironmentalSciences? Interested in #HydraulicEngineering, and sediment and wood transport processes? Our Torrents and Mass Movements group offers a #PhD position: apply.refline.ch/273855/1773/... #ScienceJobs

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Job offer: PhD in Dendroecology (f/m/d)
You will be part of a project aiming to empirically disentangle atmospheric vs. soil drought impacts on intra- and inter-annual wood formation, and mechanistically model drought constraints on intra- and inter-annual tree growth dynamics (https://www.wsl.ch/en/projects/sad-tree) based on a unique monitoring network of 44 forest sites in Switzerland spanning 10 years of soil moisture and atmospheric climate data. In this context, you will contribute to the establishment and analysis of intra- and inter-annual time series of tree growth based on dendrometer, tree rings, and quantitative wood anatomy (QWA). 

You will be responsible for establishing improved empirical relationships of tree growth-environment interactions based on the long-term integrative Soil-Plant-Atmosphere-Continuum dataset (tree & stand traits, physical environment), analyzing: intra-annual water- and growth-related stem radius changes from dendrometer measurements, early-season wood anatomy related to water transport and rehydration, and long-term drought effects on growth using tree-ring widths. 

You have a Master's degree in forest ecology, environmental sciences, or equivalent. You should have excellent analytical and statistical skills in time-series analysis, preferably in dendrosciences and/or tree physiology. Ideally, you are proficient in programming and handling of large datasets, and have experience with tree-ring methods. You are able to efficiently expand and acquire knowledge in topics relevant to the project. You have a proficient command of written and spoken English, are able to work in a structured, efficient and independent manner, and have a high level of team spirit and have good communication skills.

Job offer: PhD in Dendroecology (f/m/d) You will be part of a project aiming to empirically disentangle atmospheric vs. soil drought impacts on intra- and inter-annual wood formation, and mechanistically model drought constraints on intra- and inter-annual tree growth dynamics (https://www.wsl.ch/en/projects/sad-tree) based on a unique monitoring network of 44 forest sites in Switzerland spanning 10 years of soil moisture and atmospheric climate data. In this context, you will contribute to the establishment and analysis of intra- and inter-annual time series of tree growth based on dendrometer, tree rings, and quantitative wood anatomy (QWA). You will be responsible for establishing improved empirical relationships of tree growth-environment interactions based on the long-term integrative Soil-Plant-Atmosphere-Continuum dataset (tree & stand traits, physical environment), analyzing: intra-annual water- and growth-related stem radius changes from dendrometer measurements, early-season wood anatomy related to water transport and rehydration, and long-term drought effects on growth using tree-ring widths. You have a Master's degree in forest ecology, environmental sciences, or equivalent. You should have excellent analytical and statistical skills in time-series analysis, preferably in dendrosciences and/or tree physiology. Ideally, you are proficient in programming and handling of large datasets, and have experience with tree-ring methods. You are able to efficiently expand and acquire knowledge in topics relevant to the project. You have a proficient command of written and spoken English, are able to work in a structured, efficient and independent manner, and have a high level of team spirit and have good communication skills.

🌳💧📊 #PhDAlert! MSc in #ForestEcology or #EnvironmentalSciences? Excellent analytical and statistical skills in time-series analysis and experience with #treering methods🪵? We offer a #PhD position in #Dendroecology: apply.refline.ch/273855/1795/... #dendrosciences #ecology #ScienceJobs

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Job offer: The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is part of the ETH Domain. Approximately 600 people work on the sustainable use and protection of the environment and on the handling of natural hazards.

The Research Unit Forest and Soil Ecology, which investigates how changing environmental conditions affect forest ecosystem functioning, is seeking a candidate to join the Ecosystem Ecology group starting on 1 January 2026 (or upon appointment) as a
PhD candidate in Tree Phenology and Ecophysiology
You will be working within the SNF funded project “From leaf-out to senescence: integrating daylight and temperature dynamics into phenological process-based models to enhance autumn phenology modelling”. 

Unlike leaf-out timing, leaf senescence is particularly challenging to predict, partly because many internal factors are involved and remain poorly understood. You will investigate how changing environmental conditions — including variations in temperature, daylight, and water availability — affect leaf senescence, with the goal of improving phenological models. To achieve this, you will combine manipulative experiments, long-term phenological observations, and large-scale remote sensing data. You will also apply both statistical and mechanistic modelling approaches and contribute to publishing results in international scientific journals.
You hold a Master’s degree in in forest ecology, ecology, plant physiology, environmental science, or a related field. You are eager to apply a wide range of approaches, from ecophysiology and experimental fieldwork to remote sensing and modelling. You have a good command of English, work in a structured and independent manner, enjoy collaborating within a team and are comfortable using statistical software, preferably R. The workplace will be at WSL in Birmensdorf (approximately 20 minutes outside of Zurich), and the PhD enrolment will be at the University of Bern.

Job offer: The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is part of the ETH Domain. Approximately 600 people work on the sustainable use and protection of the environment and on the handling of natural hazards. The Research Unit Forest and Soil Ecology, which investigates how changing environmental conditions affect forest ecosystem functioning, is seeking a candidate to join the Ecosystem Ecology group starting on 1 January 2026 (or upon appointment) as a PhD candidate in Tree Phenology and Ecophysiology You will be working within the SNF funded project “From leaf-out to senescence: integrating daylight and temperature dynamics into phenological process-based models to enhance autumn phenology modelling”. Unlike leaf-out timing, leaf senescence is particularly challenging to predict, partly because many internal factors are involved and remain poorly understood. You will investigate how changing environmental conditions — including variations in temperature, daylight, and water availability — affect leaf senescence, with the goal of improving phenological models. To achieve this, you will combine manipulative experiments, long-term phenological observations, and large-scale remote sensing data. You will also apply both statistical and mechanistic modelling approaches and contribute to publishing results in international scientific journals. You hold a Master’s degree in in forest ecology, ecology, plant physiology, environmental science, or a related field. You are eager to apply a wide range of approaches, from ecophysiology and experimental fieldwork to remote sensing and modelling. You have a good command of English, work in a structured and independent manner, enjoy collaborating within a team and are comfortable using statistical software, preferably R. The workplace will be at WSL in Birmensdorf (approximately 20 minutes outside of Zurich), and the PhD enrolment will be at the University of Bern.

🍃🌳🍂 #PhDAlert! MSc in #ForestEcology, #PlantPhysiology or #EnvironmentalSciences? Eager to apply a wide range of approaches, from #ecophysiology and experimental fieldwork to #RemoteSensing and modelling🛰️? We offer a #PhD position in Tree #Phenology: apply.refline.ch/273855/1788/... #ScienceJobs

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Job offer: The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is part of the ETH Domain. Approximately 600 people work on the sustainable use and protection of the environment and on the handling of natural hazards.

The Forest and Soil Ecology research unit, which investigates the effects of environmental changes in forest ecosystems, is looking for a person to join the Ecosystem Ecology group for a fixed-term period of four years, starting January 2026 or by appointment, as a
PhD student in plant phenology and ecophysiology
You will be responsible for planning and carrying out experiments in the field and under controlled conditions in the SNF funded project “Linking carbon source-sink dynamics to autumn phenology: Predicting tree growth rhythms in temperature and boreal forests”. You will analyse the interaction between carbon balance and phenology by applying various ecophysiological and biochemical methods and large-scale data analyses. You will carry out statistical and mechanistic modelling approaches. Finally, you will be responsible for publishing results in scientific journals.
You have a master’s degree in environmental science, or a comparable topic and are interested in applying various methods, from ecophysiology to model applications. You have a proficient command of written and spoken English, are able to work in a structured, efficient and independent manner, and have a high level of team spirit. Furthermore, you have a good level of fitness to carry out field work in remote locations. We offer an international team with exciting research perspectives and strong collaboration with researchers from ETH and international institutions. The position will be based at WSL and you will be enrolled at ETH Zurich.

Job offer: The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is part of the ETH Domain. Approximately 600 people work on the sustainable use and protection of the environment and on the handling of natural hazards. The Forest and Soil Ecology research unit, which investigates the effects of environmental changes in forest ecosystems, is looking for a person to join the Ecosystem Ecology group for a fixed-term period of four years, starting January 2026 or by appointment, as a PhD student in plant phenology and ecophysiology You will be responsible for planning and carrying out experiments in the field and under controlled conditions in the SNF funded project “Linking carbon source-sink dynamics to autumn phenology: Predicting tree growth rhythms in temperature and boreal forests”. You will analyse the interaction between carbon balance and phenology by applying various ecophysiological and biochemical methods and large-scale data analyses. You will carry out statistical and mechanistic modelling approaches. Finally, you will be responsible for publishing results in scientific journals. You have a master’s degree in environmental science, or a comparable topic and are interested in applying various methods, from ecophysiology to model applications. You have a proficient command of written and spoken English, are able to work in a structured, efficient and independent manner, and have a high level of team spirit. Furthermore, you have a good level of fitness to carry out field work in remote locations. We offer an international team with exciting research perspectives and strong collaboration with researchers from ETH and international institutions. The position will be based at WSL and you will be enrolled at ETH Zurich.

🍂🌳 #PhDAlert! MSc in #EnvironmentalSciences or a related field and interested in plant #phenology and #ecophysiology? Good level of fitness to carry out field work in remote locations? Our #Ecosystem #Ecology group offers a #PhD position: apply.refline.ch/273855/1789/... #ScienceJobs

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Job offer: PhD student in Sustainable Hydraulic Structures in Torrents (f/m/d)

You will investigate the interaction of bedload and large wood in sediment retention basins (sediment traps). The project aims to develop design recommendations that ensure sediment continuity during small floods, while guaranteeing a safe and robust retention of bedload and wood during large floods and overload scenarios. Your work will include field measurements at selected sediment traps to characterize the flow, bedload, and wood transport processes. In addition, laboratory experiments will be conducted at the Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich to study the mechanical retention of wood and sediment at racks, nets, and guiding structures, and the functioning of the complete sediment trap system under various flood scenarios. An important aspect of your work will be to combine field data and laboratory experiments to derive robust and transferable design principles. You will publish your findings in peer-reviewed journals in English and a practice-oriented report in German or French and present them at international scientific conferences in English as well as practitioner meetings in German or French.

 

For this position, you must hold a master's degree in civil engineering, environmental engineering, or a similar field of engineering. You are curious, dedicated and interested in both practical hydraulic engineering issues and detailed sediment and wood transport processes. With your practical commitment, you will be actively involved in laboratory and field work. You must be able communicate fluently in English and have a minimum B2 level of German or French. Basic programming skills (e.g., Python and/or Matlab) are expected.

Job offer: PhD student in Sustainable Hydraulic Structures in Torrents (f/m/d) You will investigate the interaction of bedload and large wood in sediment retention basins (sediment traps). The project aims to develop design recommendations that ensure sediment continuity during small floods, while guaranteeing a safe and robust retention of bedload and wood during large floods and overload scenarios. Your work will include field measurements at selected sediment traps to characterize the flow, bedload, and wood transport processes. In addition, laboratory experiments will be conducted at the Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich to study the mechanical retention of wood and sediment at racks, nets, and guiding structures, and the functioning of the complete sediment trap system under various flood scenarios. An important aspect of your work will be to combine field data and laboratory experiments to derive robust and transferable design principles. You will publish your findings in peer-reviewed journals in English and a practice-oriented report in German or French and present them at international scientific conferences in English as well as practitioner meetings in German or French. For this position, you must hold a master's degree in civil engineering, environmental engineering, or a similar field of engineering. You are curious, dedicated and interested in both practical hydraulic engineering issues and detailed sediment and wood transport processes. With your practical commitment, you will be actively involved in laboratory and field work. You must be able communicate fluently in English and have a minimum B2 level of German or French. Basic programming skills (e.g., Python and/or Matlab) are expected.

⛰️🌊🛠️ #PhDAlert! MSc in civil or #EnvironmentalEngineering, and a B2 level in German or French? Interested in sediment and wood transport processes? Our Torrents and Mass Movements group offers a #PhD position: apply.refline.ch/273855/1773/... #ScienceJobs #HydraulicEngineering

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Stellenangebot: Die Forschungseinheit Wirtschafts- und Sozialwissenschaften bearbeitet wirtschaftliche, institutionelle und gesellschaftliche Fragen zu den WSL-Forschungsthemen Landschaft, natürlichen Ressourcen, Raumentwicklung und Naturgefahren und sucht im Rahmen des Projektes «RAVEN» des Nationalen Forschungsprogramms «Biodiversität und Ökosystemleistungen» (NFP 82) ab 1. Januar 2026 oder nach Vereinbarung für die Dauer von 4 Jahren eine/-n
Doktorandin / Doktoranden im Bereich sozialwissenschaftliche Umweltforschung (w/m/d)
Sie initiieren und begleiten in zwei Regionen in der Schweiz partizipative Prozesse, in denen Systemmodelle und darauf aufbauend räumlich explizite Visionen zur Förderung der Biodiversität in Landwirtschaft, Wald und Siedlung entwickelt werden. Sie führen selbständig qualitative und quantitative empirische Erhebungen durch (Interviews und standardisierte Befragungen), lassen die Ergebnisse in diese Prozesse einfliessen und verwenden sie zu deren Evaluation. Sie veröffentlichen Ihre Forschungsergebnisse in internationalen Fachzeitschriften und verfassen auf dieser Basis eine kumulative Dissertation. Daneben kommunizieren Sie gegenüber internen und externen Anspruchsgruppen und beteiligen sich bei der Ausarbeitung eines Leitfadens für die Praxis.
Sie weisen einen Hochschulabschluss in Sozial- oder Wirtschaftsgeographie, Umweltwissenschaften, Soziologie, Politikwissenschaft oder in verwandten Gebieten vor. Zudem haben Sie bereits Erfahrung in empirischer Sozialforschung, die Fähigkeit zur eigenständigen Projektbearbeitung, Kenntnisse zu Themen der räumlichen Entwicklung und Partizipation sowie Interesse an transdisziplinärer Forschung. Erfahrungen im Publizieren und Präsentieren eigener Arbeiten sind von Vorteil. Sehr gute Deutsch- und Englischkenntnisse sind unerlässlich. Sie sind initiativ, engagiert und kommunikativ, arbeiten gerne selbständig sowie in einem interdisziplinären Team.

Stellenangebot: Die Forschungseinheit Wirtschafts- und Sozialwissenschaften bearbeitet wirtschaftliche, institutionelle und gesellschaftliche Fragen zu den WSL-Forschungsthemen Landschaft, natürlichen Ressourcen, Raumentwicklung und Naturgefahren und sucht im Rahmen des Projektes «RAVEN» des Nationalen Forschungsprogramms «Biodiversität und Ökosystemleistungen» (NFP 82) ab 1. Januar 2026 oder nach Vereinbarung für die Dauer von 4 Jahren eine/-n Doktorandin / Doktoranden im Bereich sozialwissenschaftliche Umweltforschung (w/m/d) Sie initiieren und begleiten in zwei Regionen in der Schweiz partizipative Prozesse, in denen Systemmodelle und darauf aufbauend räumlich explizite Visionen zur Förderung der Biodiversität in Landwirtschaft, Wald und Siedlung entwickelt werden. Sie führen selbständig qualitative und quantitative empirische Erhebungen durch (Interviews und standardisierte Befragungen), lassen die Ergebnisse in diese Prozesse einfliessen und verwenden sie zu deren Evaluation. Sie veröffentlichen Ihre Forschungsergebnisse in internationalen Fachzeitschriften und verfassen auf dieser Basis eine kumulative Dissertation. Daneben kommunizieren Sie gegenüber internen und externen Anspruchsgruppen und beteiligen sich bei der Ausarbeitung eines Leitfadens für die Praxis. Sie weisen einen Hochschulabschluss in Sozial- oder Wirtschaftsgeographie, Umweltwissenschaften, Soziologie, Politikwissenschaft oder in verwandten Gebieten vor. Zudem haben Sie bereits Erfahrung in empirischer Sozialforschung, die Fähigkeit zur eigenständigen Projektbearbeitung, Kenntnisse zu Themen der räumlichen Entwicklung und Partizipation sowie Interesse an transdisziplinärer Forschung. Erfahrungen im Publizieren und Präsentieren eigener Arbeiten sind von Vorteil. Sehr gute Deutsch- und Englischkenntnisse sind unerlässlich. Sie sind initiativ, engagiert und kommunikativ, arbeiten gerne selbständig sowie in einem interdisziplinären Team.

🌱🏙️ #PhDAlert! Interesse an transdisziplinärer Forschung? Erfahrung in empirischer #Sozialforschung und Kenntnisse zu #Raumentwicklung und #Partizipation? Unsere Wirtschafts- und Sozialwissenschaften bieten eine #PhD Stelle: apply.refline.ch/273855/1748/... #ScienceJobs #Umweltforschung

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Job offer:
PhD student in Palaeoclimatology/-ecology (f/m/d)
As part of the SNF-project Signatures of Global Late Glacial Climate Change in Tree-Ring Records (SiGnaL), co-led by the Dendrosciences group at WSL and the Laboratory of Ion Beam Physics (LIP) at ETH Zurich, you will, along with two other PhD students and technicians, contribute to understanding the nature and drivers of abrupt climate changes during the Late Glacial period (approximately 11’000-15’000 years ago). Your work will include the collection, measurement, and integration of fossil wood and tree-ring material from various global sites. Through a multi-proxy approach - combining radiocarbon dating, stable isotope ratios, and quantitative wood anatomy - you will help to date and synchronize records across regions and reconstruct regional to global climate dynamics. This will help refine our understanding of Late Glacial climate dynamics and contribute to improvements of the global radiocarbon calibration curve. 
 
You have a Master's degree in Environmental Sciences, Earth Sciences, or a related field, and preferably have already gained experience with radio-carbon and stable isotope measurements. You are comfortable analyzing and visualizing data in R or Python and are motivated to publish your results in scientific journals. You enjoy to work in the lab, with large datasets, and have an interest in interdisciplinary and international research. You like to work independently, structured and accurate. You are communicative and team-oriented and have excellent spoken and written English language skills as well as at least the knowledge of one Swiss national language.

Job offer: PhD student in Palaeoclimatology/-ecology (f/m/d) As part of the SNF-project Signatures of Global Late Glacial Climate Change in Tree-Ring Records (SiGnaL), co-led by the Dendrosciences group at WSL and the Laboratory of Ion Beam Physics (LIP) at ETH Zurich, you will, along with two other PhD students and technicians, contribute to understanding the nature and drivers of abrupt climate changes during the Late Glacial period (approximately 11’000-15’000 years ago). Your work will include the collection, measurement, and integration of fossil wood and tree-ring material from various global sites. Through a multi-proxy approach - combining radiocarbon dating, stable isotope ratios, and quantitative wood anatomy - you will help to date and synchronize records across regions and reconstruct regional to global climate dynamics. This will help refine our understanding of Late Glacial climate dynamics and contribute to improvements of the global radiocarbon calibration curve. You have a Master's degree in Environmental Sciences, Earth Sciences, or a related field, and preferably have already gained experience with radio-carbon and stable isotope measurements. You are comfortable analyzing and visualizing data in R or Python and are motivated to publish your results in scientific journals. You enjoy to work in the lab, with large datasets, and have an interest in interdisciplinary and international research. You like to work independently, structured and accurate. You are communicative and team-oriented and have excellent spoken and written English language skills as well as at least the knowledge of one Swiss national language.

🪵 #PhDAlert! MSc in #Environmental Sciences or a related field? Experience in #radiocarbon and #StableIsotope measurements? Our #Dendrosciences group is offering a 4-year #PhD position in #palaeoclimatology & #palaeoecology: apply.refline.ch/273855/1764/... #ScienceJobs #dendrochronology #dendrology

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Job offer: The research unit Forest and Soil Ecology assess the impact of climate change and management on forests and their soils. The Soil Biogeochemistry group at the Birmensdorf site is looking for a candidate to start in January 2026 as a
PhD student in Soil Biogeochemistry (f/m/d)
You will be working within the "FutureForests Doctoral Network", an EU-funded Marie Skłodowska-Curie Actions (MSCA) initiative, which aims to train the next generation of scientists in assessing the impacts of global change on European forests utilizing a unique network of European flagship field forest facilities. Based at WSL Birmensdorf, you will investigate the effects of drought on organic matter turnover and carbon storage in the soil in the VPDrought experiment (Valais, Switzerland). The research will involve measuring soil microbial communities, as well as carbon and nitrogen pools and fluxes, using stable isotope and radiocarbon techniques. Complementary analysis will be conducted at selected manipulation facilities in Estonia (University of Tartu), Austria (University of Innsbruck) and Germany (Technical University of Munich) to compare the impacts of recurrent droughts on soil processes under global change.
You hold a master’s degree in environmental science, soil science, microbiology, or a related discipline. You demonstrate strong communication skills, self-motivation, an aptitude for field research, and a commitment to collaborative, interdisciplinary work. Good written and spoken English skills are required. Moreover, you should comply with the MSCA mobility rules: you must not have resided or carried out your main activity (work, studies, etc.) in the country of the recruiting organization for more than 12 months in the 36 months immediately before your recruitment date (January 2026).

Job offer: The research unit Forest and Soil Ecology assess the impact of climate change and management on forests and their soils. The Soil Biogeochemistry group at the Birmensdorf site is looking for a candidate to start in January 2026 as a PhD student in Soil Biogeochemistry (f/m/d) You will be working within the "FutureForests Doctoral Network", an EU-funded Marie Skłodowska-Curie Actions (MSCA) initiative, which aims to train the next generation of scientists in assessing the impacts of global change on European forests utilizing a unique network of European flagship field forest facilities. Based at WSL Birmensdorf, you will investigate the effects of drought on organic matter turnover and carbon storage in the soil in the VPDrought experiment (Valais, Switzerland). The research will involve measuring soil microbial communities, as well as carbon and nitrogen pools and fluxes, using stable isotope and radiocarbon techniques. Complementary analysis will be conducted at selected manipulation facilities in Estonia (University of Tartu), Austria (University of Innsbruck) and Germany (Technical University of Munich) to compare the impacts of recurrent droughts on soil processes under global change. You hold a master’s degree in environmental science, soil science, microbiology, or a related discipline. You demonstrate strong communication skills, self-motivation, an aptitude for field research, and a commitment to collaborative, interdisciplinary work. Good written and spoken English skills are required. Moreover, you should comply with the MSCA mobility rules: you must not have resided or carried out your main activity (work, studies, etc.) in the country of the recruiting organization for more than 12 months in the 36 months immediately before your recruitment date (January 2026).

🦠 #PhDAlert! MSc in #Environmental Sciences or a related field? Interested in #Microbiology and #SoilScience? Our #Forest and #SoilEcology group is offering a 4-year #PhD position in #Soil #Biogeochemistry: apply.refline.ch/273855/1760/... #ScienceJobs #globalchange #radiocarbon

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🎓 Thinking of a PhD in the Arts & Humanities?
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#PhDOpportunity #SGSAH #FundedPhD #PhDAlert

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Within an SNSF funded project, the Remote Sensing group is offering a 4 year position as of September 1, 2025 or by arrangement, as a
PhD student in Habitat change mapping with historical aerial imagery and deep learning 100% (f/m/d)

You will map Swiss-wide distributions of habitat types at multiple time steps using historical aerial imagery and artificial intelligence methods for image classification including machine learning and deep learning. You will determine changes in Swiss habitats since the 1940s and investigate the implications for biodiversity and ecological connectivity. You will develop a flexible habitat typology that allows consistent mapping of habitat types over multiple time steps, despite differences in the quality and specifications of available remote sensing imagery. Furthermore, you will exchange and collaborate with relevant experts both inside and outside of the research group. You will present your results to professional audiences, and both publish in scientific journals and contribute to project reports or outreach publications.

You have a Master’s degree in environmental science, spatial ecology, computer vision or an equivalent field. Your sound understanding of land change science is complemented by your knowledge of artificial intelligence methods for image classification (e.g. CNN). Furthermore, you are skilled in the analysis of large extent Earth Observation data, where experience with black and white aerial imagery is an advantage. You work comfortably with statistical computing and scripting languages (e.g. R, Python, MATLAB). You are highly motivated to analyse and understand spatial data using sophisticated modelling methods and tools. Good communication and organisation skills, an excellent team spirit and fluency in English is fundamental, knowledge of a Swiss national language is an advantage.

Within an SNSF funded project, the Remote Sensing group is offering a 4 year position as of September 1, 2025 or by arrangement, as a PhD student in Habitat change mapping with historical aerial imagery and deep learning 100% (f/m/d) You will map Swiss-wide distributions of habitat types at multiple time steps using historical aerial imagery and artificial intelligence methods for image classification including machine learning and deep learning. You will determine changes in Swiss habitats since the 1940s and investigate the implications for biodiversity and ecological connectivity. You will develop a flexible habitat typology that allows consistent mapping of habitat types over multiple time steps, despite differences in the quality and specifications of available remote sensing imagery. Furthermore, you will exchange and collaborate with relevant experts both inside and outside of the research group. You will present your results to professional audiences, and both publish in scientific journals and contribute to project reports or outreach publications. You have a Master’s degree in environmental science, spatial ecology, computer vision or an equivalent field. Your sound understanding of land change science is complemented by your knowledge of artificial intelligence methods for image classification (e.g. CNN). Furthermore, you are skilled in the analysis of large extent Earth Observation data, where experience with black and white aerial imagery is an advantage. You work comfortably with statistical computing and scripting languages (e.g. R, Python, MATLAB). You are highly motivated to analyse and understand spatial data using sophisticated modelling methods and tools. Good communication and organisation skills, an excellent team spirit and fluency in English is fundamental, knowledge of a Swiss national language is an advantage.

🖥️ #PhDAlert! MSc in a #NaturalScience, good understanding of land change science & #AI methods for image classification? #Statistics & #computing language skills? Our #RemoteSensing group is offering a 4 year #PhD position in #habitat change mapping. #LandChange apply.refline.ch/273855/1737/...

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PhD candidate in Dendroecology and Ecophysiology
The project involves fieldwork, lab analyses and manipulative experiments. The research sites are located in the Alps (Switzerland), Pyrenees (Spain), and Carpathians (Romania), and the experimental study will be conducted in Switzerland. You will apply dendroecological techniques to measure and analyse carbon and oxygen isotope ratios in the cellulose of tree rings as proxies of physiological changes. Additionally, you will participate in an experimental study on saplings growing along an elevational transect in the Alps, examining their morphological, physiological, and phenological responses to climate stressors (heat, drought, and frost). Ultimately, the goal is to rank species by their sensitivity to recent and future climatic stressors, helping forest managers select the most resilient species for each elevation zone.
You hold a Master’s degree in forest ecology, ecology, plant physiology, environmental science, or a related field. Ideally, you already have experience with tree-ring analysis, ecophysiology, or climate data analysis. You have a good command of English, enjoy working collaboratively, and are comfortable using statistical software, preferably R. You are in good physical condition so that you can move safely over rough terrain. In addition, you are independent, self-motivated, and eager to take on a challenging project that will contribute to a deeper understanding of how climate change affects forest ecosystems. This position offers an exciting opportunity for those seeking a career in dendroecology, ecophysiology, or climate change science. You will work in an international research environment with access to cutting-edge methods and collaboration opportunities in Spain and Romania. Working place will be at WSL in Birmensdorf (approx. 20 min outside of Zurich); PhD enrolment will be at University of Bern.

PhD candidate in Dendroecology and Ecophysiology The project involves fieldwork, lab analyses and manipulative experiments. The research sites are located in the Alps (Switzerland), Pyrenees (Spain), and Carpathians (Romania), and the experimental study will be conducted in Switzerland. You will apply dendroecological techniques to measure and analyse carbon and oxygen isotope ratios in the cellulose of tree rings as proxies of physiological changes. Additionally, you will participate in an experimental study on saplings growing along an elevational transect in the Alps, examining their morphological, physiological, and phenological responses to climate stressors (heat, drought, and frost). Ultimately, the goal is to rank species by their sensitivity to recent and future climatic stressors, helping forest managers select the most resilient species for each elevation zone. You hold a Master’s degree in forest ecology, ecology, plant physiology, environmental science, or a related field. Ideally, you already have experience with tree-ring analysis, ecophysiology, or climate data analysis. You have a good command of English, enjoy working collaboratively, and are comfortable using statistical software, preferably R. You are in good physical condition so that you can move safely over rough terrain. In addition, you are independent, self-motivated, and eager to take on a challenging project that will contribute to a deeper understanding of how climate change affects forest ecosystems. This position offers an exciting opportunity for those seeking a career in dendroecology, ecophysiology, or climate change science. You will work in an international research environment with access to cutting-edge methods and collaboration opportunities in Spain and Romania. Working place will be at WSL in Birmensdorf (approx. 20 min outside of Zurich); PhD enrolment will be at University of Bern.

🌲🖥️ #PhDAlert! MSc in a #natural #science & experience with #tree-ring analysis and statistical software (R)? Fluent in English and ready for #fieldwork? Our #forest dynamics #research unit is looking for a #PhD candidate in #dendroecology and #ecophysiology! apply.refline.ch/273855/1736/...

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For the Swiss National Science Foundation-funded project GLADDER we are looking for a qualified candidate starting in Sommer 2025 as a
PhD student in numerical modelling of ice flow over subglacial lakes in Antarctica 100% (f/m/d)

You will be working on a project aiming at deciphering the mechanisms responsible for the formation and dynamics of subglacial lakes in Antarctica. Many of these lakes have been found to date and the drainage and filling behaviour of a few has been documented. However, the physical processes behind their dynamics are still largely unknown. The project will use theoretical and numerical approaches to study and simulate these lakes.

Your responsibility will be to co-develop and run coupled models of ice flow and subglacial hydrology. You will participate in the development of our Stokes ice flow model, a high-performance model geared to run on graphics processing units (GPU), with a particular focus on the implementation of the basal boundary condition to allow simulating ice flow over subglacial lakes. You will then use this model to simulate ice flow of Antarctic catchments to capture subglacial lake dynamics. This will entail gathering and pre-processing of input datasets, running simulations on high performance computers, post-processing and analysing the data. Furthermore, you will be closely involved in the development of the coupling of the ice flow and subglacial drainage model.

You need to have a Master in a quantitative science, to be interested to work with mathematical/numerical models and excited to work in glaciology. We expect a good understanding of continuum mechanics and multi-physics modelling, expertise in developing scalable, matrix-free solvers for non-linear PDEs and proficiency in GPU computing, ideally in the Julia programming language. Also, you have knowledge of cryospheric process modelling and excellent written and verbal English communication skills.

For the Swiss National Science Foundation-funded project GLADDER we are looking for a qualified candidate starting in Sommer 2025 as a PhD student in numerical modelling of ice flow over subglacial lakes in Antarctica 100% (f/m/d) You will be working on a project aiming at deciphering the mechanisms responsible for the formation and dynamics of subglacial lakes in Antarctica. Many of these lakes have been found to date and the drainage and filling behaviour of a few has been documented. However, the physical processes behind their dynamics are still largely unknown. The project will use theoretical and numerical approaches to study and simulate these lakes. Your responsibility will be to co-develop and run coupled models of ice flow and subglacial hydrology. You will participate in the development of our Stokes ice flow model, a high-performance model geared to run on graphics processing units (GPU), with a particular focus on the implementation of the basal boundary condition to allow simulating ice flow over subglacial lakes. You will then use this model to simulate ice flow of Antarctic catchments to capture subglacial lake dynamics. This will entail gathering and pre-processing of input datasets, running simulations on high performance computers, post-processing and analysing the data. Furthermore, you will be closely involved in the development of the coupling of the ice flow and subglacial drainage model. You need to have a Master in a quantitative science, to be interested to work with mathematical/numerical models and excited to work in glaciology. We expect a good understanding of continuum mechanics and multi-physics modelling, expertise in developing scalable, matrix-free solvers for non-linear PDEs and proficiency in GPU computing, ideally in the Julia programming language. Also, you have knowledge of cryospheric process modelling and excellent written and verbal English communication skills.

#PhDalert! Skills in #continuum #mechanics, non-linear PDE solvers, GPU computing (ideally in Julia), and crysopheric process #modeling? 🧊🖥️Our #Glaciology group is offering a #PhD position starting in Summer 2025. apply.refline.ch/273855/1723/...

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🚨 PhD Position Alert! 🚨
Join the Move to Tell project at Aix-Marseille University! Study infant communicative development & motor activity with Dr. Marianne Jover and Dr. Céline Scola. Fully funded, 3-year contract. Apply by May 1st!
+ info: marianne.jover@univ-amu.fr
#PhDAlert #InfantDevelopment

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he Forest Soils and Biogeochemistry research unit investigates the impacts of climate change on soil biodiversity, soil functions, and ecosystem processes. The Biogeochemistry research group is looking from June 1, 2025 for a
PhD student in Plant Water Relations
Extreme droughts and heatwaves are increasingly threatening forest ecosystems in Switzerland, altering water availability and leading to tree stress. The DeepDrought project aims to advance our understanding of plant reliance on deep soil water and its role in mitigating drought stress. We are seeking a highly motivated PhD candidate to assess species-specific root water uptake patterns, dendrometer derived tree water deficit, and water use efficiency across Swiss forests using a combination of field observations, stable isotope analyses, and predictive modeling. The PhD candidate will focus on assessing plant reliance on deep soil water and will work closely with a multidisciplinary team across the Swiss Federal Institute for Forest, Snow, and Landscape Research (WSL), ETH Zürich, and the Technical University of Munich (TUM). The research will contribute to refining our understanding of plant-water interactions and enhancing climate resilience strategies for Swiss forests.
You hold a master’s degree in environmental sciences, hydrology, ecology, forestry, or a related field. Experience with field data collection, particularly soil or plant water measurements, is an asset. A strong background in statistical analysis is desirable. Familiarity with stable isotope data, dendrometry, or soil hydrology is advantageous. Proficiency in programming languages such as R or Python for data analysis and modeling is required. You are highly motivated, independent, and eager to collaborate in an interdisciplinary research team. Excellent English skills are necessary, and knowledge of German or French is a plus but not essential.

he Forest Soils and Biogeochemistry research unit investigates the impacts of climate change on soil biodiversity, soil functions, and ecosystem processes. The Biogeochemistry research group is looking from June 1, 2025 for a PhD student in Plant Water Relations Extreme droughts and heatwaves are increasingly threatening forest ecosystems in Switzerland, altering water availability and leading to tree stress. The DeepDrought project aims to advance our understanding of plant reliance on deep soil water and its role in mitigating drought stress. We are seeking a highly motivated PhD candidate to assess species-specific root water uptake patterns, dendrometer derived tree water deficit, and water use efficiency across Swiss forests using a combination of field observations, stable isotope analyses, and predictive modeling. The PhD candidate will focus on assessing plant reliance on deep soil water and will work closely with a multidisciplinary team across the Swiss Federal Institute for Forest, Snow, and Landscape Research (WSL), ETH Zürich, and the Technical University of Munich (TUM). The research will contribute to refining our understanding of plant-water interactions and enhancing climate resilience strategies for Swiss forests. You hold a master’s degree in environmental sciences, hydrology, ecology, forestry, or a related field. Experience with field data collection, particularly soil or plant water measurements, is an asset. A strong background in statistical analysis is desirable. Familiarity with stable isotope data, dendrometry, or soil hydrology is advantageous. Proficiency in programming languages such as R or Python for data analysis and modeling is required. You are highly motivated, independent, and eager to collaborate in an interdisciplinary research team. Excellent English skills are necessary, and knowledge of German or French is a plus but not essential.

🥼 🖥️ #PhDalert! MSc in #environmental #science or related, experience with #field #data collection & strong background in #statistical #analysis? The Biogeochemistry research group is looking for a #PhD student in #Plant #Water #Relations. 🌊🌱 apply.refline.ch/273855/1709/...

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#PhDAlert We are looking for exceptional (home) students interested in Dengue, vascular biology and bedside diagnostic for a interdisciplinary PhD project in collaboration with @MaringerLab @Pirbright_Inst. Apply by 28 February 2025. Contact me and distribute!

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#FishyFriday PhD alert 🌊🧪🦑
Reposting as I am now contributing to more feeds 😉
Get in touch if you have any Qs and watch this space as we'll be advertising #postdoc opportunities in the new year.
Happy Friday!
#PhDAlert #PhD opportunity in #marine #science & #technology, #autonomy #sensing #ecology

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#AcademicTwitter #PhDalert There's a fantastic, fully-funded position @unifr for @DooseKatja's @snsf_ch project on “Myths of equality: the gendered history of science in Central Asia, 1870s-1970s"

Spread the word / apply! https://www.unifr.ch/geo/en/department/jobs/

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#academictwitter #phdalert

There's a fantastic opportunity at @unibern to undertake a PhD within Dr. Isabel Käser's @snsf_ch Ambizione project

focusing on masculinities, militarism, migration and state-making in Iraqi...

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