学界|纽伦堡工业大学招募鲁棒、双级和离散优化博士

文摘   2024-11-25 20:31   德国  

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About the position

The University of Technology Nuremberg (UTN) offers a stimulating and interdisciplinary research environment with access to cutting-edge resources. It is the ideal place to make groundbreaking discoveries and contribute to exciting fields of research.


The Department of Liberal Arts and Sciences is currently offering an opening for a fully funded doctoral research opportunity (100% position – TVL E13) supervised by Prof. Dr. Johannes Thürauf (Professor for Discrete Optimization).


The successful applicant will work in the area of bilevel and/or robust optimization. The focus of the research will be the development of models and optimization techniques, e.g., in the context of network optimization such as resilient energy and utility networks. In particular, the development of algorithms and solution techniques that yield proven optimal solutions to optimization problems will be part of the research. This involves techniques like linear, nonlinear, and integer programming, robust optimization, bilevel optimization, graph algorithms, and polyhedral combinatorics. The developed algorithms will be implemented in a programming language such as Python or C++.


The earliest possible starting date is 15.1.2025 a later start is possible.


Your Main Tasks

Research and teaching at the UTN

Publication of your research results at conferences and journals

Collaboration with other researchers


Requirements

  • An outstanding master’s degree in Mathematics, Operations Research, Theoretical Computer Science or a related field.

  • A strong mathematical background in optimization, preferable knowledge in robust and/or bilevel optimization.

  • Profound programming skills, e.g., in Python, Java, or C++. Experience with optimization software such as Cplex, Gurobi, or SCIP is highly desirable.

  • Strong proficiency in both written and spoken English is essential.

How to apply 

https://www.utn.de/en/career/opportunities-for-doctoral-researchers/#disc-opt


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