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学界|德累斯顿工业大学招募机器学习与组合优化博士

运筹OR帷幄 • 3 月前 • 115 次点击  

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About the position

Position Overview

Title: PhD Student (m/f/x) / Research Associate (2 positions)

Department: Chair of Machine Learning for Computer Vision

University: TU Dresden (Technische Universität Dresden)

Salary: TV‑L E13, 100%

Duration: 3 years (limited)

Start Date: Earliest possible


Tasks & Responsibilities

Independent fundamental research on mathematical optimization problems in machine learning and image analysis

Design and analysis of exact/approximate algorithms for these problems

Implementation, empirical analysis, and comparison of algorithms using real data

Publication of results in leading conferences and journals

Involvement in teaching and academic self‑administration


We Offer

Excellent supervision in a top‑level scientific environment

Unique collaboration opportunities with local, national, and international partners

Individually tailored IT equipment and access to excellent high‑performance computing (HPC) infrastructure

Modern working environment in the historic city of Dresden, surrounded by a unique cultural and natural landscape


Equal Opportunity

TU Dresden aims to increase the proportion of women in academia and research; women are expressly encouraged to apply. The university is a certified family‑friendly employer. Applications from candidates with disabilities are welcome; in cases of equal qualification, candidates with disabilities or equivalent status under German Social Code IX (SGB IX) will be given priority.


Group Website: https://mlcv.cs.tu-dresden.de/

Contact Email: mlcv@tu-dresden.de


Requirement

  • Excellent university degree in Mathematics, Computer Science, or Physics

  • Strong background in discrete mathematics and at least 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


Application date

Application Deadline: February 26, 2026

How to apply 

Call (PDF): https://mlcv.cs.tu-dresden.de/job-offer-mlcv-en.pdf


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