- Bewerbungsfrist: 06.08.2021
- Veröffentlicht: 21.07.2021
- Start-date: 01.10.2021
- Part-time position (65 %)
- Kennziffer: 00001710
Agroforestry systems for ecosystem-based Carbon Dioxide Removal: stocktaking and case studies in the Brazilian Amazon and the Upper Rhine region
As part of an upcoming BMBF funded project CDR-PoEt (Carbon Dioxide Removal Options – Policies and Ethics), the Chair of Silviculture (Working Group “Forestry and Rural Development”) at the Faculty of Natural Resources and Environment University of Freiburg, invites applications for two 3-year doctoral positions. Both doctoral researches are dedicated to assess the potential of agroforestry systems as a land-based carbon dioxide removal approach for achieving the Paris Agreement by analysing the functionality of respective enabling policy instruments and their applicability including ethical considerations. The doctorate researchers will work in two case study regions: the Brazilian Amazon (doctorate position 1) and the transnational Upper Rhine region (doctorate position 2). See PDF for further details on project!
Starting date is 01.10.2021 (pending final project approval).
Candidate profile: We are looking for two highly motivated and co-operative scholars with a strong background at the nexus of forestry and/or land use with governance and/or development studies, ideally with a record in forest (carbon) inventories as well as (at least first) experience in policy and governance considerations related to agriculture, agroforestry or forestry, and the promotion of sustainable land use and/or measures against climate change, e.g. community forestry, REDD+. The ideal candidate will have demonstrated his/her ability to successfully carry out relevant empirical research, data analyses and to communicate results. Experience in publishing in scientific journals is an asset. The applicant should be able to independently plan and undertake reviews and field studies (including interviews or stakeholder workshops), coordinate work with other project partners and compile and analyse large data sets. A strong background in quantitative and qualitative data analysis and experience with systematic reviews and meta-analysis are desirable. A willingness and suitability to travel (including abroad under tropical conditions, especially doctorate 1) is required.
A strong command of English is indispensable. For the first doctorate position also fluency in Spanish/Portuguese is required; for the second fluency in German (plus good command of French). Generally, for international candidates, knowledge of German (or a willingness to learn) would be beneficial to enhance the experience of living and working in Germany.
Salary is the German standard for doctoral students (TV-L E13, 65% of a full scientist salary). The University of Freiburg is an equal opportunity employer and encourages women to apply. Severely disabled applicants with equal qualification and aptitude will be given preferential consideration. For international candidates, the University of Freiburg offers support with the logistics of relocating to Germany (http://www.welcomecenter.uni-freiburg.de).
Your application in English language will consist of a letter of motivation clearly exploring your qualifications and your focus area of interest (Amazon or Upper Rhine), a CV, academic transcripts (non-official copies are acceptable in this phase), and contact details of at least two academic references. Please send your application as a single PDF by email with the subject “PhD position in CDR-PoEt” by 6th of August 2021 to Sabine Reinecke (firstname.lastname@example.org). Questions regarding the content of the project can be discussed with Dr. Reinecke or Prof. Dr. Pokorny (email@example.com).
We are particularly pleased to receive applications from women for the position advertised here.
Please send your application in English including supporting documents mentioned above citing the reference number 00001710, by 06.08.2021 at the latest. Please send your application to the following address in written or electronic form:
Professur für Waldbau
Fakultät für Umwelt und Natürliche Ressourcen
Applicants with disabilities (Schwerbehinderte Menschen) will be given preferential consideration in case of equal qualification.
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