[ES_JOBS_NET] PostDoc (3 yrs) for atmospheric boundary-layer data analysis

[Mathias Goeckede]

Dear colleagues,

we are seeking to fill a PostDoc position (3 years) for atmospheric 
boundary-layer data analysis using observations from UAS platforms 
within the context of an exciting ERC-synergy project focusing on Arctic 
climate change and permafrost disturbance processes. All details on the 
position, required qualifications and the application procedure can be 
found here:

https://www.bgc-jena.mpg.de/www/uploads/Career/OpenPositions/2021_11_23_PostDoc_Heimann_en.pdf

The application deadline is *January 31, 2022*, and the position is 
planned to start between April 01 to July 01, 2022.

Feel free to share this information with your colleagues and potential 
candidates.

Best regards, Mathias Göckede


*Position description:*
We are seeking a postdoctoral specialist (m/f/d) with experience in the 
analysis and interpretation of atmospheric boundary-layer datasets to 
support a project focusing on observations based on unmanned aircraft 
systems (UAS). The successful candidate (m/f/d) will fill a key position 
within a multi-disciplinary ERC-synergy project (Q-Arctic, 
https://q-arctic.net) focusing on Arctic permafrost carbon feedbacks 
with climate change, closely interacting with a large network of 
international project partners. The position will be embedded within an 
interdisciplinary research team that is conducting experimental, 
observational and modelling studies focusing on Arctic carbon cycle 
processes under global climate change.

*Tasks*:
The successful candidate (m/f/d) will be primarily responsible for the 
processing and analysis of UAS-based datasets to detect and quantify 
regional scale greenhouse gas emissions in Arctic permafrost 
environments. An additional focus will be placed on the interpretation 
of high-resolution aerial imagery for mapping of heterogeneous Arctic 
landscapes. S/he will help in the design and conduction of UAS based 
measurement campaigns in both Germany and the Arctic, and contribute to 
the evaluation of sensors and instrumentation on different types of 
UASs. The tasks also include the integration and analysis of UAS 
measurements within a local high-resolution surface-atmosphere modeling 
system jointly with project team colleagues contributing in situ 
measurements, high-resolution remote sensing data of land surface 
properties, and atmospheric simulations.

*Qualifications:*
Candidates (m/f/d) with a higher education degree (PhD) in 
environmental, natural or computational sciences (e.g. meteorology, 
geo-ecology or other geo-science, environmental physics, or applied 
mathematics) are eligible for this position. A background in atmospheric 
sciences and/or boundary-layer meteorology is required, and the 
willingness to participate in remote field work campaigns (e.g. in 
Siberia) is a prerequisite. Experience in handling UAS-based datasets 
and scientific programming is a strong plus. Demonstrated insights into 
technical aspects of UASs application, Arctic ecology or carbon cycle 
science are considered beneficial. In general, we seek a flexible and 
proactive person (m/f/d) who is able to work both independently as well 
as in a larger team. Very good written and spoken English is essential.

*Terms of employment:*
This is a full-time post-doctoral position to be filled from April 01, 
2022, but starting not later than July 01, 2022, with current funding 
guaranteed for a duration of 36 months. Part-time work is generally 
possible. The position will be evaluated and graded following the 
collective agreement according to TVöD Bund; in addition, we will 
provide a pension plan based on the public service (VBL).
The Max Planck Society (MPS) strives for gender equality and diversity. 
The MPS aims to increase the proportion of women in areas where they are 
underrepresented. Women are therefore explicitly encouraged to apply. We 
welcome applications from all fields. The Max Planck Society has set 
itself the goal of employing more severely disabled people. Applications 
from severely disabled persons are expressly encouraged.
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