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University of Hildesheim

Fully Funded PhD and Postdoc Positions in Machine Learning and Deep Learning at University of Hildesheim University of Hildesheim in Germany

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Germany

University

University of Hildesheim

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Keywords

Computer Science
Data Science
Information Technology
Deep Learning
Mathematics
Artificial Intelligence
Statistics
Machine learning

About this position

Fully funded PhD and postdoc positions are open in Machine Learning, Deep Learning, and Artificial Intelligence at the Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany.

The openings are full-time research positions in the Computer Science Department and are available immediately. The appointment length is 3 years, with salary on the TV-L E13 scale, which is roughly EUR 50,000 per year.

Research areas highlighted in the post include machine learning, deep learning, AI, and related work in computer science, mathematics, and data science. The lab also mentions access to advanced compute clusters and scientific supervision.

Eligibility for the PhD role includes a relevant Master’s degree or equivalent 18-year education. The post also indicates that applicants should have a strong background in the relevant technical fields.

This is a strong fit for candidates seeking a funded research career in Germany with immediate start, structured tenure, and a research environment focused on modern ML/AI methods.

To apply, visit the ISMLL jobs page and follow the instructions for the PhD or postdoctoral position.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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