30 Jul
2023
30 Jul
'23
5:08 p.m.
The Data Science Chair at JMU Würzburg as a member of the Center for AI and Data Science
(CAIDAS) offers two positions for doctoral researchers (m/w/d) in the area of machine
learning.
Both positions will work within the BigData@Geo2 project, the followup of the successful
BigData@Geo project [1], that provides machine-learning-aided decision support for
agricultural measures in the light of regional climate change. This includes prediction of
crop yields and enabling proactive agricultural strategies.
In the first position, you will build machine and deep learning improved climate models
that provide a basis for the prediction of regional climate change and agricultural risk
assessment, allowing agriculture to react in time by applying appropriate policies to deal
with the challenge of changing climate-related conditions. This work focuses on the use
and extension of state of the art deep learning architectures such as transformers to
solve important downstream tasks such as increasing climate model resolution, identifying
relevant climate indicators, integrating additional ecosystem information, and transfer
function.
The second position focuses on natural language processing and will allow you to work on
data from many small companies in the form of historical yearbooks, as well as general
information from local newspapers or social media discussing local climate events. Using
this data, you will develop new methods for discovering climate, ecosystem and
agriculturally relevant events that assist in the overarching goal of BigData@Geo2 of
assessing the economic viability of agricultural decisions, such as which crops to grow in
future seasons, or predicting crop yield.
Payment is at the level of E13 according to the German federal wage agreement scheme
(TV-L). Candidates are expected to have a strong background in computer science and
mathematics, with a specialisation in machine learning and interest in the topic of one of
the positions. Prior knowledge in the field of deep learning in one of the subject areas
is advantageous.
Please send your application (letter of motivation, curriculum vitae, academic records) at
your earliest convenience, but no later than August 25th, 2023, to Prof. Dr. Andreas Hotho
(dmir-jobs(a)uni-wuerzburg.de). You are welcome to contact us on the same address for
additional details.
[1] https://bigdata-at-geo.eu/