16 beste Stellen als machine learning in kreisfreie stadt leipzig – aktuell auf Personalsuche

Student Assistant (f/m/x) for AI-enhanced bias adjustment of climate model outputs
Helmholtz-Zentrum für Umweltforschung UFZ —Leipzig
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Deloitte GmbH —Leipzig
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Senior Consultant / Architect SAP Business Technology Platform (SAP BTP) (m/w/d)
cbs Corporate Business Solutions GmbH —Leipzig
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Teamlead SAP Business Technology Platform (SAP BTP) (m/w/d)
cbs Corporate Business Solutions GmbH —Leipzig
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Machine Learning & AI - Mandatory Internship, Voluntary Internship, or Working Student (f/m/d)
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Experience with Scikit-learn, dlib, or other machine learning libraries is a plus. Ideally, you have already gained experience in the field of machine learning.

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machine learning jobs near kreisfreie stadt leipzig

Student Assistant (f/m/x) for AI-enhanced bias adjustment of climate model outputs

Helmholtz-Zentrum für Umweltforschung UFZ -
Leipzig

Jetzt bewerben

Details zur Stelle

Vollständige Stellenbeschreibung

Place of work

Leipzig, mobile working partially possible

Working time

Up to 19h/week, but at least 8 h/ week

Contract limitations

limited contract / 6 months

Contact

Your contact for any questions you may have about the job:
[email protected]
[email protected]

Your application

To ensure a fair selection process, please submit your application (cover letter, CV, and relevant supporting documents) via our online portal without a photo, age information, or details about your marital status.

Diversity and Inclusion

The UFZ values diversity and is actively committed to ensuring equal opportunities for all employees, regardless of their origin, religion, beliefs, disability, age or sexual identity.
We welcome people who represent diverse backgrounds, identities and perspectives. We therefore particularly encourage people who are affected by structural discrimination to apply to us.

The UFZ

The Helmholtz Centre for Environmental Research (UFZ) is a world-leading institution in environmental research and a member of the Helmholtz Association, Germany’s largest scientific organisation. With approximately 1,200 employees across Leipzig, Halle, and Magdeburg, we have been conducting research since 1991 using a transdisciplinary approach to address the most pressing challenges of our time: biodiversity loss, climate change, and environmental pollution. Our goal is to translate excellent research into practical solutions for policymakers, business, and society, and to serve as a reliable partner in supporting transformation processes toward a sustainable and just future for current and future generations. We foster a culture of collaboration, openness, and diversity within a work environment that actively promotes creativity and personal development.

The job

Join our team, starting on October 1st, to explore how machine learning can improve the bias adjustment of climate model outputs, with a focus on downstream hydrological applications.

Your tasks

The student assistant will implement existing deep learning-based bias correction methods (e.g., CycleGANs, diffusion models) for climate model outputs and compare their performance against existing tools and reference datasets. Tasks include setting up and applying the workflows, evaluating corrected outputs against reference datasets, and conducting sensitivity analyses across different regions, time periods, and model settings.

Implement and adapt existing spatial deep learning-based bias correction workflows for climate model outputs (e.g., methods based on CycleGANs and diffusion models).
Evaluate and compare climate model outputs before and after correction against reference datasets.
Conduct sensitivity analyses of the developed correction framework across different data periods, regions, model settings, and climate conditions.
Develop reproducible scripts and workflows for data processing, model training, evaluation, and visualization.

We offer

Excellent supervision that supports your personal and professional development
Exciting insights into the work of a leading research institute
The chance to work in interdisciplinary, international teams and benefit from a wide range of perspectives
The opportunity to contribute and actively shape your own ideas and impulses
right from the start
Modern technical equipment and IT service to optimally support your work

Your profile

Student in climate science, hydrology, Earth system science, geosciences, environmental data science, computer science, statistics, or a related field.
Good programming skills in Python; familiarity with Bash scripting is a plus.
Interest in or basic understanding of machine learning and deep learning concepts.
Motivated to contribute to climate science research and enjoys working with clean, reproducible workflows
Good written and spoken English skills.

Application deadline: 15.08.2026

More information about jobs at the UFZ:
www.ufz.de/career

LinkedIn @UFZ

Family Support

International Office

Accessibility

Diversity, Equity & Inclusion

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Erweiterte Suche

machine learning Jobs in kreisfreie stadt leipzig

Student Assistant (f/m/x) for AI-enhanced bias adjustment of climate model outputs

Machine Learning & AI - Mandatory Internship, Voluntary Internship, or Working Student (f/m/d)

Werkstudent/in Machine Learning Operations (m/w/d)

Quereinstieg als Prompt Engineer (m/w/d) – 100% remote

(Senior) Developer - Fokus Tax Technology (m/w/d)

Senior Conversational AI & ML Solution Engineer (m/w/d)

Associate Product Owner (m/w/d) Traineeprogramm

Werkstudent/in im Bereich Data Science (w/d/m)

Artificial Intelligence Specialist

Agentic AI Developer im Deloitte aiStudio (m/w/d)

Fullstack Entwickler (m/w/d)

Werkstudent (m/w/d) IT, Prozessmanagement und Digitalisierung

Senior Consultant / Architect SAP Business Technology Platform (SAP BTP) (m/w/d)

Teamlead SAP Business Technology Platform (SAP BTP) (m/w/d)

Senior AWS Consultant (m/w/d)

(Senior) Consultant (m/w/d) Data Science

More jobs to discover

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning in kreisfreie stadt leipzig erhalten

Weitere Job-Standorte erkunden

LinkedIn @UFZ

Family Support

International Office

Accessibility

Diversity, Equity & Inclusion

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