Dear Julia GEO community,
I am looking for a highly motived PostDoc. Please do not hesitate to contact me directly for more information (the terms and conditions are probably a bit hard to understand as they refer to specific German regulations, but are actually very good). The official adds are on the university website - here I paste a shortened version.
If you want to know about the latest research in my group I recommend these paper:
- Mahecha, Gans et al. (2020) Earth system data cubes unravel global multivariate dynamics. Earth system dynamics, 111, 201-234. LINK
- Krich, C., Runge, J., … & Mahecha, M.D. (2020) Causal networks of biosphere–atmosphere interactions. Biogeosciences, 17, 1033-1061 LINK
- Linscheid, N., Estupinan-Suarez, … & Mahecha, M.D. (2020) Towards a global understanding of vegetation–climate dynamics at multiple time scales . Biogeosciences, 17 , 945-962, LINK.
- Mahecha, M.D., Guha-Spair, D., Smits, J., Gans, F., Kraemer, G. (2020) Data challenges limit our global understanding of humanitarian disasters triggered by climate extremes. In Sillmann, J. & Sippel, S. (editors) Climate Extremes and their Implications for Impact and Risk Assessment, pp 243-257
Best wishes and many thanks for sharing with relevant candidates!
Reference number 58/2020
SCIENTIST IN COMPUTATIONAL ECOLOGY AND/OR REMOTE SENSING (M/F/D)
Limited for 3 years with the possibility of extension by 3 years
100% of a full-time position
Salary: Besoldungsgruppe W1 or Entgeltgruppe 13 TV-L
The Faculty of Physics and Earth Sciences seeks to fill the above position at the earliest opportunity.
Leipzig is a vibrant hotspot for creativity in eastern Germany, known for its world-class research in biodiversity and ecosystem sciences. The Faculty of Physics and Earth Sciences at Leipzig University and the Helmholtz Centre for Environmental Research (UFZ) are preparing to establish a Remote Sensing Centre for Earth System Research to expand research in this area and better understand ecosystems in a changing world. The newly established lab Modelling Approaches in Remote Sensing (from 1 April 2020) is looking for a creative individual who shares our overarching interests in ecosystem functioning across scales. We particularly seek to complement our team with expertise in the following fields:
- Remote sensing approaches from regional to global scales (e.g. via joint interpretation of heterogeneous data streams, innovative measurements such as SIF, or data-cube approaches).
- Data-driven research (e.g. via state-of-the-art machine-learning, multidimensional analytics, spatiotemporal statistics, extreme event detection and attribution, or causal inference).
- Joint interpretation of in-situ observations and Earth observation (e.g. proximal and satellite remote sensing, or long-term ecological research data and EO).
- Developing an independent research line in one of the requested areas. We are looking for creativity and excellence!
- Independent teaching activities in the areas of remote sensing, and/or (geo)statistics and machine learning.
- Engagement in doctoral training and advising doctoral students and/or postdoctoral fellows, including those from collaborating groups.
- Commitment to apply for third-party funding.
- Supporting the faculty in achieving strategic goals in research and education.
- Very good PhD in Earth Sciences, Physical Geography, Quantitative Ecology, Computer Sciences, Applied Mathematics, Environmental Physics or a related field.
- Willingness to work in a highly interdisciplinary environment.
- Fluency in one of the common languages of scientific computing (e.g. R, Julia or Python).
For further enquiries please contact Miguel Mahecha (email@example.com), who will head the new lab from 1 April 2020.
Please send your application including 1) letter of motivation; 2) CV; 3) list of publications; and 4) names of up to three relevant academic references, quoting the reference number 58/2020, to
Dean of the Faculty of Physics and Earth Sciences
Professor Christoph Jacobi
Linnéstraße 5, 04103 Leipzig
by no later than 31 March 2020.
Please note that it is not possible to guarantee confidentiality and rule out unauthorised access by third parties when communicating via unencrypted email. Disabled people are encouraged to apply and will be given preference in the case of equal suitability.