Developing workflows and programming code for estimating the impacts of broader land management practices (biodiversity; food; energy nexus) on local biodiversity under global change; Scanning and extracting evidence from scientific and grey literature, such as environmental impact assessment reports; Leading the dissemination of project results via high-quality journal publications and conference presentations. At a minimum the incumbent is expected to lead on one manuscript per year; Participating in and contributing to the organization of project-related workshops and/or webinars as needed
PhD or equivalent experience in statistics, environmental science, ecology or comparable with experience in using statistical (Bayesian) approaches for quantitatively synthesizing evidence from literature; Proven experience in applying meta-analytical approaches and mixed effects models in data synthesis. Knowledge of standards and good practices in synthesizing scientific evidence; Fluency in at least one scientific coding language (preferably R). Knowledge of standard R-packages for meta-analytical analyses (e.g., brms, metafor) highly desirable
Deadline: Until filled APPLY 74-2022 APPLY 74-2022 Researcher in ecological impact assessment IIASA BIODIVERSITY AND NATURAL RESOURCES (BNR) PROGRAM The Biodiversity, Ecology, and Conservation (BEC) Research Group , within the BNR Program is looking to recruit a highly motivated and enthusiastic researcher interested in applying statistical and data analytical approaches in applied ecological and conservation contexts. background The BEC Research Group develops and applies state-of-the art ecological knowledge, methods, and tools to understand feedback between ecosystem functioning and coupled socio-ecological systems. The group aims to apply this knowledge and tools to investigate appropriate management options to achieve sustainability goals that have ecological implications and conservation relevance. One key activity of the BEC group is investigating the impact of agriculture, forestry and other land-uses (energy sector) on biodiversity through advanced statistical modeling techniques. This entails analyzing and linking large quantities of spatial data on biodiversity observations, land cover and land uses. On this topic BEC is involved in the following two projects, which the incumbent is expected to be involved with: As part of the European Green Deal, the EU must achieve climate neutrality by 2050, and the land-use sector has a key role to play in this. In the LAMASUS project ( www.lamasus.eu ) we will use state-of-the-art econometric and biophysical models to assess the role of past policies on changes in land use and management, and their economic and environmental impacts; the latter of which accounting for carbon, biodiversity and all relevant dimensions of sustainability impacts, at multiple scales (land use actors, country, EU level, global). BEC will assess the impacts of current and future projected impacts on local biodiversity in European land systems. We will collect evidence and develop methods for improved biodiversity indicators that are responsive toward varying intensities of land-use management. Wind power is one of the fastest-growing, most mature and cost-competitive renewable energy technologies. But its deployment faces significant challenges due to a lack of understanding of the (distribution of) complex (positive and negative) impacts on the environment and their interplay with low local acceptance. In the WIMBY project we will assess the impact of large wind power installations on biodiversity in the EU using meta-analytical approaches. The overall aim of the project is to deepen the knowledge of barrier that obstruct the implementation of biodiversity-friendly wind power turbines and farms. The role The incumbent will work within the BNR Program and the BEC Research Group, and in close collaboration with Dr. Martin Jung and Dr. Piero Visconti on developing and applying meta-analytical approaches towards assessing the impacts of land management and the energy sector (renewable energy). This entails working with (Bayesian) linear mixed models and other meta-analytical approaches to identify and map biodiversity response functions, for example using the PREDICTS modeling approach. The successful candidate should be comfortable working in a multidisciplinary environment and be excited about interacting with researchers from other domains such as energy & economics, forestry and agronomy to explore how linkages between biodiversity and these sectors can be developed. tasks and responsibilities Developing workflows and programming code for estimating the impacts of broader land management practices (biodiversity - food - energy nexus) on local biodiversity under global change. Scanning and extracting evidence from scientific and grey literature, such as environmental impact assessment reports. Leading the dissemination of project results via high-quality journal publications and conference presentations. At a minimum the incumbent is expected to lead on one manuscript per year. Participating in and contributing to the organization of project-related workshops and/or webinars as needed. Supporting all project partners and group members in the drafting of reports, grant proposals and other scientific outputs as the need arises. In line with the team spirit that prevails at IIASA, the incumbent may occasionally work on other tasks assigned by their superiors, that might not be directly related to this appointment but where the post holder has relevant experience and skills, and/or a shortage of immediate personnel capabilities requires such. qualifications and experience PhD or equivalent experience in statistics, environmental science, ecology or comparable with experience in using statistical (Bayesian) approaches for quantitatively synthesizing evidence from literature. Proven experience in applying meta-analytical approaches and mixed effects models in data synthesis. Knowledge of standards and good practices in synthesizing scientific evidence. Fluency in at least one scientific coding language (preferably R). Knowledge of standard R-packages for meta-analytical analyses (e.g., brms, metafor) highly desirable. Knowledge of modern approaches for collaborative coding (e.g., Git) are desirable, but not essential. Good understanding of current applied ecology and conservation research, in particular with regard to impacts of land use on biodiversity and/or biodiversity impact assessments with regards to renewable energy. Excellent organizational skills, pro-active and results-oriented, and the capacity to deliver on allocated tasks and project deliverables in a timely manner. Ability to work independently as well as with an international and multidisciplinary team distributed across different institutions and time-zones. A track record of publishing high-quality scientific research (commensurate to career stage). Excellent communication skills (both written and oral) in English. IIASA offers an interdisciplinary and international workplace, and the possibility to interact with researchers of different nationalities, with strong ties to a world-wide network of research institutions engaged in environmental systems research. The successful candidate must be able to work in, and have respect for, an intercultural environment, and IIASA core values . appointment terms We offer an initial fixed-term, full-time (40 hours per week) employment contract for two years, with the possibility of extension thereafter. Eligible applicants wishing to work part-time hours will also be considered. The start date is negotiable. Duties will be carried out at the IIASA premises in Laxenburg, near Vienna in Austria (up to 100 days per year home office working within Austria possible). The successful candidate will be hired in accordance with their corresponding profile in the IIASA researcher profiles . WE OFFER A gross annual, full-time salary of: minimum EUR 33,924.00 for R1 researchers minimum EUR 44,204.00 for R2 research scholars. IIASA salaries are: Exempt from income tax in Austria. Negotiable, based on the qualifications, skills and experience of the selected individual. Subject to deductions for health insurance and/or social security. Not directly comparable with other employers in Austria, due to the unique legal status and privileges granted to IIASA. Subject to the principle of income aggregation (Progressionsvorbehalt in German). In addition: Educational subsidies for children of school age enrolled in private schools in Austria. A generous annual leave allowance. Moving and settlement allowances and paid home leave for employees in scientific and professional categories hired from international locations. Assistance for newcomers to Austria with visa, work and residency permit applications. Support finding accommodation in Austria. Further details here . About IIASA IIASA is committed to a working environment that promotes equality, diversity, tolerance and inclusion within its workforce. This is reflected in our IIASA core values . We encourage qualified candidates from all religious, ethnic, and social backgrounds to apply. In the case that candidates are equally qualified, preference will be given to applicants from countries where IIASA has a Member Organization . Further Information For further information about this opportunity please contact: Dr. Piero Visconti , BEC research group leader or Dr. Martin Jung , BEC research scholar For general questions about working at IIASA, please contact: firstname.lastname@example.org Applications To apply for this opportunity, you will need to provide the following documents in English: A cover letter outlining your motivation for and fit to the position A detailed Curriculum Vitae The names, addresses (including e-mail), and telephone numbers of two work-related reference givers. Review of applications will begin immediately. Deadline for receipt of applications: Until filled APPLY Applications To apply for this opportunity, you will need to provide the following documents in English: A cover letter outlining your motivation for and fit to the position A detailed Curriculum Vitae The names, addresses (including e-mail), and telephone numbers of two work-related reference givers. Review of applications will begin immediately. Deadline for receipt of applications: Until filled APPLY
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