13 beste Stellen als working student machine in bayern – aktuell auf Personalsuche

Research Assistant (m/f/d), Centre for Climate Resilience
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Internship Tactical Asset Allocation - Data Analytics (m/f/d)*
Munich Re —München
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Business Development Internship (m/f/d)
autonomous-teaming —München
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Associate - AI Tech Consulting (all genders) - BCG Platinion
Boston Consulting Group —München
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Universitätsklinikum Würzburg —Würzburg
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Valeo —Wemding
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Masterand (d/m/w) im Bereich Deep Reinforcement Learning für die Luftfahrtproduktion
AIRBUS HELICOPTERS DEUTSCHLAND GmbH —Donauwörth
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Training as an industrial mechanic [m/f/d]
SEHO Systems GmbH —Kreuzwertheim
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Atira —München
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PhD Thesis: Optimization of LLM / FM Inference in Industrial Edge Networks
Siemens —Garching bei München
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- Hybrides Arbeiten
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Werkstudent / Praktikant / Abschlussarbeit (m/w/d) — Bildverarbeitung & Sensorsysteme
PARKVI GmbH —Augsburg
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- Windows
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- Kostenloser Parkplatz
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Research Assistant (m/f/d), Centre for Climate Resilience

Universität Augsburg -
Augsburg

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Details zur Stelle

vor 1 Stunde

Qualifikationen

ArcGIS
Geographie
Schreibfähigkeiten
R
Datenanalyse
Master
Bachelor
Machine Learning
Künstliche Intelligenz
Python
GIS

Vollständige Stellenbeschreibung

The Chair for Climate Resilience of Cultural Ecosystems at the Centre for Climate Resilience, University of Augsburg has a vacancy starting 1 October 2026 for a

Research Assistant (m/f/d)

with the possibility of enrolling in a PhD programme on the following topic:

Agricultural systems and resource modelling for optimal maize production, focusing on the integration of artificial intelligence with process-based models under the SAI-CROP project

in fixed-term employment for a period of 3 years (pay group 13 TV-L 75%).

The research assistant (m/f/d) will be part of the SAI-CROP project, a funded collaborative initiative between the German and South African Governments in the field of “Artificial Intelligence for Societal Transformation” (South African/German Cooperation Research Programme 2025, ZADE-AI). The project is jointly conducted with two South African Universities, Sol Plaatje University and the University of Limpopo. As a result, the successful applicant (m/f/d) will be required to travel to South Africa occasionally for field data collection and other project-related activities.

Your responsibilities:

Work on process-based simulation models to regionalize results from field experiments and remotely sensed-data for optimizing maize productivity in Germany and South Africa.
Enhance process-based simulation workflows using AI-driven big data integration approaches
Generate novel, innovative and scalable insights for optimizing resources, monitoring maize conditions, accurately predicting maize productivity across diverse agroecologies, and targeting context-specific climate change adaptation.

Recruitment requirements:

A Master’s degree in physical geography, agronomy, geosciences, data science, climate change, or a closely related discipline. Relevant work experience is an advantage
Experience with agricultural systems models such as DSSAT, APSIM, or AquaCROP
Experience working with Earth Observation data (e.g., Sentinel, Landsat, PlanetScope) for crop mapping, yield estimation, and environmental monitoring
Experience with geospatial analysis using GIS software (e.g., QGIS or ArcGIS) and spatial data processing
Programming experience in Python and/or R, including geospatial and scientific data analysis
Strong scientific writing skills with experience preparing technical reports, publications, and project deliverables
Excellent command of English (written and spoken)

Additional Qualifications (Advantageous):

Understanding of data assimilation and integration of remote sensing with crop models
Proven experience in machine learning for Earth system applications, including hybrid modelling approaches that combine data-driven AI methods with process-based environmental or agricultural models.
At least one publication in high-impact international peer-reviewed journals in the topic of machine learning and Earth Observation applications for agricultural systems, including crop mapping, yield prediction, and integration of remote sensing with process-based crop models.

What we offer:

A dynamic, interdisciplinary and cooperative team in an excellent work environment.
Contribution to topical research on climate resilience
A strong support in your own research endeavours

The research assistant (m/f/d) will be integrated into the Climate Resilience of Cultural Ecosystems Research working group, a team engaged in investigating the impacts of climate change on land use and agriculture, as well as adaptation in the context of global challenges such as food security. The research assistant (m/f/d) will have the possibility to enroll into a PhD program at the Institute for Geography, University of Augsburg. The Institute of Geography offers a comprehensive program of graduate courses for PhD students.

The University of Augsburg promotes professional equality for women. Women are expressly encouraged to apply. The University of Augsburg is particularly committed to the compatibility of family and working life. For more information, please contact the Faculty's Women's Representative. Applicants with severe disabilities (m/f/d) will be given preference if their suitability, qualifications, and professional performance are otherwise essentially equal.

The application documents (including a letter of motivation, a CV, bachelor's and master's certificates, and names of two referees) should be submitted as a single pdf file by

1 August 2026

to:
Dr Harison Kipkulei
University of Augsburg
Chair for Climate Resilience of Cultural Ecosystems
E-mail: [email protected]

Review of applications will start on 3 August 2026 and continue until the position is filled. For further information, please contact Dr Harison Kipkulei.

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working student machine Jobs in bayern

Research Assistant (m/f/d), Centre for Climate Resilience

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