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Wir bieten attraktive Arbeitsplätze an unserer Forschungseinrichtung mit international herausragender Stellung in der Agrarlandschaftsforschung.

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MyTitle: PhD fellowship (3 years)
MyLinkAnsehenUrl:
MyLinkPDFUrl: http://www.zalf.de/de/karriere/stellenangebote/Documents/PhD_Fellowship_ZALF_40-2017.pdf, PDF zur Stellenausschreibung 40-2017
MyTitelMehrzeilig:
MyTextfeld: <div class="ExternalClassECCE629C957341658CC1359FD8E222BC"><p>In the framework of the &quot;Biodiversity, Ecology and Management in National Parks and Biosphere Reserves&quot; BEN-program which is funded by the <strong>Marianne and Dr. Fritz Walter Fischer foundation</strong>, a junior research group will be established at the Leibniz Centre for Agricultural Landscape Research to addresses <strong>“Human-wildlife conflicts in agricultural landscapes of UNESCO-Biosphere Reserves”</strong> (within the junior-research group three different wildlife species will serve as case studies&#58; crane, wild-boar, wolf). <strong>This position will be dedicated to the following subject&#58;&#160;Migration, conflicts and damage prevention of grey wolf (Canis lupus) in agricultural landscapes</strong></p><p> <strong>Your task</strong></p><p>The task of this PhD position is to analyse the spatio-temproal pattern of wolf migration and related livestock losses (i.e. sheep/goat, cattle/suckler-cow, deer) for the case of Brandenburg State in Germany based on monitoring data and stakeholder consultation. For this purpose data gathering, mapping (using GIS) and statistical analysis is required. In order to consider the different perspectives of relevant stakeholder groups (e.g. farmers, different state agencies), participatory approaches, semi-structured interviews and/or survey questionnaires will be used in a complementary way. Key findings of the Brandenburg case will be reflected through a transferability study (scenario study and stakeholder workshop) for the case of the UNESCO-Biosphere Reserve Schaalsee as a final step of this study.</p> <strong> <p>Your profile</p> </strong> <ul><li>Master’s degree in Agriculture, Geography or equivalent fields with strong interest in interdisciplinary research</li><li>Knowledge in analysing databases and geo-data (GIS)</li><li>Experiences with European agriculture subsidy application forms or InVeKos data-base of advantage</li><li>High motivation to work in an international, interdisciplinary team</li><li>Solid knowledge of written and spoken English and German (most data will be provided in German language, most stakeholders speak German only) </li><li>Scientific ambition to take the next step in scientific career (cumulative PhD)</li></ul><p> <strong>We expect</strong> experiences in classical methods of geoscience to analyse the spatio-temporal pattern of species migration (wolf) and the occurrence of land use conflicts; and experiences in or readiness to socio-economic research related to participatory approaches (stakeholder methods), survey design and/or semi-structured interviews. We expect excellent communication and teamwork skills and the motivation to independently find solutions for complex tasks, an organized, independent working style, as well as the willingness to travel and to conduct field work.</p><p>Young researchers (below 30 years) and women are specifically encouraged to apply. Applications of mentally and physically challenged applicants will be favoured if they are equally qualified.</p><p><strong>The position will be filled as soon as possible. Interviews with potential candidates are foreseen for the period of June 15. - 20.</strong></p></div>
MyAutoren:
MyMeldungsdatum:
MyLabels:
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PhD fellowship (3 years)

In the framework of the "Biodiversity, Ecology and Management in National Parks and Biosphere Reserves" BEN-program which is funded by the Marianne and Dr. Fritz Walter Fischer foundation, a junior research group will be established at the Leibniz Centre for Agricultural Landscape Research to addresses “Human-wildlife conflicts in agricultural landscapes of UNESCO-Biosphere Reserves” (within the junior-research group three different wildlife species will serve as case studies: crane, wild-boar, wolf). This position will be dedicated to the following subject: Migration, conflicts and damage prevention of grey wolf (Canis lupus) in agricultural landscapes

Your task

The task of this PhD position is to analyse the spatio-temproal pattern of wolf migration and related livestock losses (i.e. sheep/goat, cattle/suckler-cow, deer) for the case of Brandenburg State in Germany based on monitoring data and stakeholder consultation. For this purpose data gathering, mapping (using GIS) and statistical analysis is required. In order to consider the different perspectives of relevant stakeholder groups (e.g. farmers, different state agencies), participatory approaches, semi-structured interviews and/or survey questionnaires will be used in a complementary way. Key findings of the Brandenburg case will be reflected through a transferability study (scenario study and stakeholder workshop) for the case of the UNESCO-Biosphere Reserve Schaalsee as a final step of this study.

Your profile

  • Master’s degree in Agriculture, Geography or equivalent fields with strong interest in interdisciplinary research
  • Knowledge in analysing databases and geo-data (GIS)
  • Experiences with European agriculture subsidy application forms or InVeKos data-base of advantage
  • High motivation to work in an international, interdisciplinary team
  • Solid knowledge of written and spoken English and German (most data will be provided in German language, most stakeholders speak German only)
  • Scientific ambition to take the next step in scientific career (cumulative PhD)

We expect experiences in classical methods of geoscience to analyse the spatio-temporal pattern of species migration (wolf) and the occurrence of land use conflicts; and experiences in or readiness to socio-economic research related to participatory approaches (stakeholder methods), survey design and/or semi-structured interviews. We expect excellent communication and teamwork skills and the motivation to independently find solutions for complex tasks, an organized, independent working style, as well as the willingness to travel and to conduct field work.

Young researchers (below 30 years) and women are specifically encouraged to apply. Applications of mentally and physically challenged applicants will be favoured if they are equally qualified.

The position will be filled as soon as possible. Interviews with potential candidates are foreseen for the period of June 15. - 20.

Kontaktperson(en): Dr. König
Telefon: +49 (0)33432 82-245
Bewerbungsschluss: 30.06.2017
Kennziffer: 40-2017
MyTitle: Post-doc Researcher
MyLinkAnsehenUrl:
MyLinkPDFUrl: http://www.zalf.de/de/karriere/stellenangebote/Documents/Grassland_Modeller_38-2017.pdf, PDF zur Stellenausschreibung 38-2017
MyTitelMehrzeilig:
MyTextfeld: <div class="ExternalClass9BA63DF5212E4292AE06920AFD21E981"><p>​The Leibniz Centre for Agricultural Landscape Research (ZALF) in Müncheberg has opened a position for an <strong>Post-doc Researcher </strong>for process-based grassland modelling and remote sensing in the context of a national research project on across-scale intensive grassland management, beginning 1 December 2017, under the precondition of project funding being warranted.</p><p> <strong>The candidate is expected</strong> <strong>to</strong> improve and apply system models for simulations of grassland biomass growth and phenological development in impact assessment studies of climate change and adaptation. Emphasis is on the representation of intensive meadows across Germany and their value for various ecosystem services, including nitrate retention and carbon sequestration. Innovative remote sensing products will be developed within the project and used to derive information for immediate model input. The research work is embedded in larger international research networks and contributes to their progress at various levels.<strong>&#160;</strong></p><p> <strong>The task area </strong>includes the following foci&#58;</p><ul><li>Analysis of German grassland systems for management patterns</li><li>Data collection and model set-up for grassland system representation</li><li>Model development, parametrisation and validation</li><li>Assimilation of high-frequency time series of multi-spectral optical and SAR remote sensing data into simulation models</li><li>Simulation of grassland yields and qualities for Germany and selected regions across Europe, using a grid-based ensemble of simulation models on a multi-core computer cluster</li><li>Analysis of scaling effects of 1D simulations to larger scales</li><li>Synthesis of modelling results in scientific publications and oral presentations at project and network meetings and conferences</li><li>Support the research group through PhD student supervision and fund raising</li></ul><p>Applicants should (I) hold a PhD in Agronomy, Geo-ecology, Geography, Environmental Science or related area, with focus on simulation modelling, remote sensing and crop production, (II) prove strong interest in big data (III), be fluent in English (oral and written) and advanced in German and (IV) show a significant record of peer-reviewed scientific publications.</p></div>
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Post-doc Researcher

​The Leibniz Centre for Agricultural Landscape Research (ZALF) in Müncheberg has opened a position for an Post-doc Researcher for process-based grassland modelling and remote sensing in the context of a national research project on across-scale intensive grassland management, beginning 1 December 2017, under the precondition of project funding being warranted.

The candidate is expected to improve and apply system models for simulations of grassland biomass growth and phenological development in impact assessment studies of climate change and adaptation. Emphasis is on the representation of intensive meadows across Germany and their value for various ecosystem services, including nitrate retention and carbon sequestration. Innovative remote sensing products will be developed within the project and used to derive information for immediate model input. The research work is embedded in larger international research networks and contributes to their progress at various levels. 

The task area includes the following foci:

  • Analysis of German grassland systems for management patterns
  • Data collection and model set-up for grassland system representation
  • Model development, parametrisation and validation
  • Assimilation of high-frequency time series of multi-spectral optical and SAR remote sensing data into simulation models
  • Simulation of grassland yields and qualities for Germany and selected regions across Europe, using a grid-based ensemble of simulation models on a multi-core computer cluster
  • Analysis of scaling effects of 1D simulations to larger scales
  • Synthesis of modelling results in scientific publications and oral presentations at project and network meetings and conferences
  • Support the research group through PhD student supervision and fund raising

Applicants should (I) hold a PhD in Agronomy, Geo-ecology, Geography, Environmental Science or related area, with focus on simulation modelling, remote sensing and crop production, (II) prove strong interest in big data (III), be fluent in English (oral and written) and advanced in German and (IV) show a significant record of peer-reviewed scientific publications.

Kontaktperson(en): Dr Claas Nendel
Telefon: +49 (0)33432 82-355
Bewerbungsschluss: 31.07.2017
Kennziffer: 38/2017
MyTitle: Doctoral Researcher (3 years)
MyLinkAnsehenUrl:
MyLinkPDFUrl: http://www.zalf.de/de/karriere/stellenangebote/Documents/Doktorand_31-2017.pdf, PDF zur Stellenausschreibung 31-2017
MyTitelMehrzeilig:
MyTextfeld: <div class="ExternalClass34B9ADBC7BA649CCA5BB9D38B01E8175"><p>We advertise a position in a project funded through DFG research platform &quot;Biodiversity Exploratories&quot; (Priority Programme 1374). The project addresses the relationship between biodiversity of microorganisms of the nitrogen cycle and the impact of land use in grasslands. In cooperation with the <em>Institute of Microbiology (ifmb) at the Leibniz University Hannover (LUH)</em>, the doctoral candidate will work in the research group <em>Terrestrial Microbiology of the Institute of Landscape Biogeochemistry (LBG)</em> (ZALF, Müncheberg, Berlin) and will investigate soil bacteria that are able to form and reduce the potent greenhouse gas nitrous oxide by the nitrate reducing metabolic pathways denitrification and dissimilatory nitrate reduction to ammonia (DNRA). Methods will reach from microbiological methods such as physiological tests, strain characterization by MALDI-TOF MS, trace gas analytics, to genome sequencing and annotation of functional relevant genes. The goal of the project is to gain insights into the biodiversity and importance of soil DNRA bacteria compared to denitrifiers based on a large number of isolates and will assess the impact of land use intensity of grasslands on DNRA bacteria in soil. </p><p> <strong>Your tasks and responsibilities</strong></p><ul><li>Project conduction (experiments, data editing, statistics)</li><li>Preparation of publications</li><li>Presentation of results on scientific conferences</li><li>Interaction with scientists of groups <em>Terrestrial Microbiology</em> and <em>Trace Gas Biogeochemistry</em>, and of the IfM at the LUH</li></ul><p> <strong>Your profile – we require</strong></p><ul><li>Master of Science in microbiology, environmental microbiology, or related geosciences</li><li>High motivation to take the next step in scientific career</li><li>Good knowledge of written and spoken English</li></ul><p> <strong>We expect</strong> experiences in classical methods of microbiology such as cultivation and physiological characterization of microorganisms and if possible experiences in genome sequencing and annotation, excellent communication and teamwork skills, the motivation and capability to independently find solutions for complex tasks, an organized, independent working style, as well as the willingness to travel and to conduct field work.</p></div>
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MyMeldungsdatum:
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Struktureinheiten:Label: NewWindow: MyEbene: 1 MyKategory:

Doctoral Researcher (3 years)

We advertise a position in a project funded through DFG research platform "Biodiversity Exploratories" (Priority Programme 1374). The project addresses the relationship between biodiversity of microorganisms of the nitrogen cycle and the impact of land use in grasslands. In cooperation with the Institute of Microbiology (ifmb) at the Leibniz University Hannover (LUH), the doctoral candidate will work in the research group Terrestrial Microbiology of the Institute of Landscape Biogeochemistry (LBG) (ZALF, Müncheberg, Berlin) and will investigate soil bacteria that are able to form and reduce the potent greenhouse gas nitrous oxide by the nitrate reducing metabolic pathways denitrification and dissimilatory nitrate reduction to ammonia (DNRA). Methods will reach from microbiological methods such as physiological tests, strain characterization by MALDI-TOF MS, trace gas analytics, to genome sequencing and annotation of functional relevant genes. The goal of the project is to gain insights into the biodiversity and importance of soil DNRA bacteria compared to denitrifiers based on a large number of isolates and will assess the impact of land use intensity of grasslands on DNRA bacteria in soil.

Your tasks and responsibilities

  • Project conduction (experiments, data editing, statistics)
  • Preparation of publications
  • Presentation of results on scientific conferences
  • Interaction with scientists of groups Terrestrial Microbiology and Trace Gas Biogeochemistry, and of the IfM at the LUH

Your profile – we require

  • Master of Science in microbiology, environmental microbiology, or related geosciences
  • High motivation to take the next step in scientific career
  • Good knowledge of written and spoken English

We expect experiences in classical methods of microbiology such as cultivation and physiological characterization of microorganisms and if possible experiences in genome sequencing and annotation, excellent communication and teamwork skills, the motivation and capability to independently find solutions for complex tasks, an organized, independent working style, as well as the willingness to travel and to conduct field work.

Kontaktperson(en): Dr. S. Kolb
Telefon: +49(0)33432 82-326
Bewerbungsschluss: 20.09.2017
Kennziffer: 31-2017

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