PhD Positions (fully-funded): Machine Learning & Combinatorial Optimization (TU Dresden)

The Chair of Machine Learning for Computer Vision of TU Dresden offers 
two positions as

PhD Student (m/f/x) / Research Associate (Salary Level TV-L E13, 100%)
Machine Learning & Combinatorial Optimization

starting at the earliest possible date. The positions are limited to 
three years.

Tasks:
- independent, curiosity-driven basic scientific research on fundamental 
mathematical optimization problems in the fields of machine learning and 
image analysis
- design and analysis of algorithms for the exact or approximate 
solution of these problems
- Implementation, empirical analysis, and comparison of these algorithms 
using data
- publication of research results at leading conferences and in leading 
journals
- tasks in teaching and academic self-administration

Requirements:
- excellent university degree in mathematics, computer science, or physics
- extensive prior knowledge in discrete mathematics and in one area of 
mathematical optimization (e.g.,
discrete optimization, convex optimization)
- strong interest in basic research using rigorous mathematical methods
- very good programming skills in C/C++
- very good command of written and spoken English

We offer:
- excellent supervision in an outstanding scientific environment
- unique opportunities for collaboration with local, national, and 
international partners
- IT equipment tailored to individual needs and access to excellent HPC 
infrastructure
- a modern working environment in a city of science and culture, 
surrounded by a unique landscape

TUD strives to employ more women in academia and research. We therefore 
expressly encourage women to apply. The University is a certified 
family-friendly university. We welcome applications from candidates with 
disabilities. If multiple candidates prove to be equally qualified, 
those with disabilities or with equivalent status pursuant to the German 
Social Code IX (SGB IX) will receive priority for employment.

Call: https://mlcv.cs.tu-dresden.de/job-offer-mlcv-en.pdf
Further information: https://mlcv.cs.tu-dresden.de/
Application deadline: **February 26, 2026**
Contact: [email protected]

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