Publisher
source

Sebastian Tschiatschek

1 week ago

PhD Position in Machine Learning / Artificial Intelligence at University of Vienna University of Vienna in Austria

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Austria

University

Universität Wien

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Keywords

Computer Science
Deep Learning
Mathematics
Artificial Intelligence
Uncertainty Analysis
Reinforcement Learning
Statistics
Machine learning

About this position

PhD position available at the University of Vienna in Machine Learning / Artificial Intelligence, working at the intersection of probabilistic and interactive machine learning.

The research focus includes one or more of the following topics: efficient reinforcement learning, human-AI alignment, and deep probabilistic models for uncertainty quantification. This is a strong fit for candidates with interests in modern AI, learning under uncertainty, and interactive decision-making systems.

The position is announced by Sebastian Tschiatschek, Associate Professor at the University of Vienna. The post describes a collaborative research environment in Vienna and emphasizes the opportunity to conduct high-impact research in a leading academic setting.

Funding: the position is fully funded for up to 4 years.

Eligibility/preferences: the post seeks a curious, self-driven researcher. No detailed formal requirements are listed in the post itself, so applicants should consult the linked application page for full criteria and submission instructions.

Application: more information and application details are available via the linked page. Interested candidates should review the vacancy information and apply according to the instructions provided there.

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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