[ES_JOBS_NET] PhD Model-Data Fusion in Soil Crop Modelling, Univ Kassel, Germany

[Tobias KD Weber]

PhD Model-Data Fusion in 
Soil Crop Modelling
The Soil Science 
Department of the 
University of Kassel is 
seeking for a highly 
motivated PhD for a 
research project
funded by the Federal 
Office for Agriculture 
and Food, subject to 
final project approval. 
The PhD position, 
remunerated
as with 50% with pension 
and health insurance 
benefits, is initially 
offered for 3 years, 
extendable after 
evaluation for up
to 2 years. Earliest 
starting date is 
01.12.2022.

In the project 
digitalisation in 
organic agriculture 
(DigiPlus), the 
University of Kassel 
together with the
“Hessische Staatsdomäne 
Frankenhausen” will 
establish a digital twin 
of an organic farm, 
testing commercially
available information 
communication 
technology, and develop 
and use intelligent 
sensor systems to 
monitor animals,
food quality, and fluxes 
and the evolution of 
state variables in the 
soil-crop system. One 
target will be to 
establish robust
methods for recommender 
systems for in season 
field management options 
based on plausible 
soil-crop models assisted
by data assimilation and 
machine learning 
algorithms.

Your tasks:
As part of the project 
DigiPlus, you will be 
embedded in a highly 
motivated, young, and 
dynamic team working on 
the topic
  of model-data fusion 
in the soil-crop system. 
You will be 
co-supervised by a 
PostDoc in the same 
project.
Your research field will 
be model-data fusion in 
a Bayesian framework. 
You will be using 
numerical soil-crop 
models, and,
  depending on interest 
and experience, work on 
high-performance 
computers. You are 
expected to be an active 
and communicative
member of the project 
and the department of 
Soil Science, and are 
responsible for the 
sound development of new 
findings and methods
in the above-mentioned 
areas, the writing of 
scientific publications, 
and independently 
contribute to the agile 
project work in the 
research network.

Your Profile:
A Master of Science in 
Physics, Agricultural 
Sciences, Meteorology, 
Geoecology, or a closely 
related subject
Knowledge of the energy, 
water and material 
balance of the vegetated 
soil surface is expected
Knowledge of process 
modelling of dynamic 
plant growth/land 
surface modelling
Willingness to learn 
Bayesian statistics and 
methods of model-data 
fusion are expected
A strong drive to learn 
scripting languages such 
as R or Julia, 
documentation of codes 
and version control
A secure knowledge of 
spoken and written 
English is required and 
the knowledge of German 
is an advantage, 
willingness to learn 
German is expected

apply: 
https://stellen.uni-kassel.de/jobposting/84fe5aaaaa419887342f952d8eb1532f68b78acb0

*As an employee of the 
University of Kassel*

·you will be offered an 
interesting and diverse 
range of tasks within 
the framework of a 
modern and ambitious 
university,

·you will be provided 
the opportunity and 
supported to complete a PhD,

·you will be part of an 
interdisciplinary team 
with a good and 
collegial working 
atmosphere,

·you will have the 
opportunity to 
participate in 
professional and 
interdisciplinary 
further education measures,

·your workplace is 
located in the city of 
Witzenhausen with good 
public transport 
connections, which you 
can currently use for free.

*Application deadline*: 
09 November 2022
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