20 beste Stellen als student machine learning in bayern – aktuell auf Personalsuche

Research Assistant (m/f/d), Centre for Climate Resilience
Universität Augsburg —Augsburg
- Schreibfähigkeiten
- Datenanalyse
- Master
19 Std.
Master Thesis Predictive Modeling and Control for Autonomous Driving (f/m/x)
BMW —München
- Vollzeit
- Machine Learning
- Python
- Flexible Arbeitszeiten
Intern AI Agentic Development for Acoustic Simulation Workflows (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Datenbanken
- Machine Learning
- Flexible Arbeitszeiten
Intern Software Development BMW Intelligent Personal Assistant (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Englisch
- Master
- Flexible Arbeitszeiten
(Intern) Builder in Residence - Product, Design, Engineering
Tacto —München
- Vollzeit
- Produktion
- Künstliche Intelligenz
- Python
Intern AI Solutions Engineering (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Windows
- AWS
- Flexible Arbeitszeiten
Intern Data Scientist Residual Value Risk Management (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Microsoft Office
- Machine Learning
- Flexible Arbeitszeiten
Postdoctoral Researcher (m/f/d)
Universitätsklinikum Würzburg —Würzburg
- Doktorat
- Informatik
- Machine Learning
Intern Artificial Intelligence Strategy (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Intern Residual Value Risk Management - Data Science (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Microsoft Office
- Machine Learning
- Flexible Arbeitszeiten
Thesis Quantum Computing and Generative Models (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Python
- Flexible Arbeitszeiten
Werkstudent mit anschließender Masterarbeit Innovation Metal Solutions (m/w/d)
EOS GmbH —Krailling
- 17 € pro Stunde
- Vollzeit
- Informatik
- Datenanalyse
- Englisch
- Weiterbildungsprogramme
Werkstudent (m/w/d) im Bereich KÃ¼nstliche Intelligenz
Primetals Technologies —Erlangen
- Teilzeit
- Informatik
- Englisch
- Master
- Flexible Arbeitszeiten
5 Tage
Werkstudententätigkeit Medientechnik & Marketing - Schwerpunkt Videoproduktion (m/w/d)
dab —Deggendorf
- Teilzeit
- Marketing
- Englisch
- Machine Learning
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
(Intern) Entrepreneur in Residence
Tacto —München
- Vollzeit
- Produktion
- Künstliche Intelligenz
Doktorarbeit: Sichere KI für maritime Antriebe / Safe Artificial Intelligence for Maritime Engines
Everllence SE —Augsburg
- Englisch
- Master
- C++
- Mitarbeiter-Rabatt
Werkstudent:in (m/w/d) – Informatik mit Schwerpunkt Data Science /Maschinelles Lernen
aluco GmbH —Königsbrunn
- Teilzeit
- Informatik
- Datenbanken
- SQL
- Flexible Arbeitszeiten
Intern Consultant Data Science and AI (m/f/d)*
Münchener Rückversicherungs-Gesellschaft —München
- Vollzeit
- Master
- Projektmanagement
- Präsentationserfahrung
- Weiterbildungsprogramme
16 Std.
Student (m/w/d) einer technischen Fachrichtung für eine Masterarbeit
Siltronic AG —Burghausen
- Teilzeit
- SQL
- Machine Learning
- Python
Direkt bewerben
12 Tage
Werkstudent (m/w/d) Artificial Intelligence
Valeo —Wemding
- Teilzeit
- Master
- Machine Learning
- Künstliche Intelligenz
- Flexible Arbeitszeiten

Ich möchte aktuelle Job-E-Mails für Stellen als student machine learning in bayern erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

student machine learning jobs near bayern

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

Universität Augsburg -
Augsburg

Jetzt bewerben

Details zur Stelle

vor 19 Stunden

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.

Jetzt bewerben

Erweiterte Suche

student machine learning Jobs in bayern

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

Master Thesis Predictive Modeling and Control for Autonomous Driving (f/m/x)

Intern AI Agentic Development for Acoustic Simulation Workflows (f/m/x)

Intern Software Development BMW Intelligent Personal Assistant (f/m/x)

(Intern) Builder in Residence - Product, Design, Engineering

Intern AI Solutions Engineering (f/m/x)

Intern Data Scientist Residual Value Risk Management (f/m/x)

Postdoctoral Researcher (m/f/d)

Intern Artificial Intelligence Strategy (f/m/x)

Intern Residual Value Risk Management - Data Science (f/m/x)

Thesis Quantum Computing and Generative Models (f/m/x)

Werkstudent mit anschließender Masterarbeit Innovation Metal Solutions (m/w/d)

Werkstudent (m/w/d) im Bereich KÃ¼nstliche Intelligenz

Werkstudententätigkeit Medientechnik & Marketing - Schwerpunkt Videoproduktion (m/w/d)

(Intern) Entrepreneur in Residence

Doktorarbeit: Sichere KI für maritime Antriebe / Safe Artificial Intelligence for Maritime Engines

Werkstudent:in (m/w/d) – Informatik mit Schwerpunkt Data Science /Maschinelles Lernen

Intern Consultant Data Science and AI (m/f/d)*

Student (m/w/d) einer technischen Fachrichtung für eine Masterarbeit

Werkstudent (m/w/d) Artificial Intelligence

Ich möchte aktuelle Job-E-Mails für Stellen als student machine learning in bayern erhalten

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt