学界招聘|德国勃兰登堡工业大学招募离散优化研究员

One of Germany's most dynamic energy research locations is currently being created in Cottbus, as part of the energy transition. The Brandenburg University of Technology Cottbus-Senftenberg (BTU), which is a young upcoming university that traditionally focuses on energy research, plays a central role in this structural development process. In the new „Energy Innovation Centre“(Energie-Innovationszentrum - EIZ) more than 70 scientists from the BTU Cottbus-Senftenberg are researching innovative solutions and technologies for a climate-neutral energy supply in Lusatia and worldwide, together with an interdisciplinary partner network. 

We would like to expand our team at the Chair of Discrete Mathematics and Foundations of Computer Science at BTU Cottbus-Senftenberg and are therefore looking for two exceptionally qualified and ambitious

Research Associates (m/f/d) Chair of Discrete Mathematics and Foundations of Computer Science

The positions are part of the EIZ sub-project "Efficient Optimization Methods for Complex Networks".

This is what it is about:

As part of the energy transition, the German government has set itself ambitious goals, which will require a fundamental transformation of our energy systems in order to be achieved. Given its historical position as a centre for lignite mining and power generation, Lusatia faces particularly complex challenges to readapt itself. The Energy Innovation Centre (Energie-Innovationszentrum - EIZ) at the BTU addresses this challenge on both a global and regional level, by accompanying the global transformation of the energy sector and thereby (co-)building and (co-)securing regional technological leadership for science and industry, as well as the start-up competence of Lusatia. The focus is on the systematic networking of the various energy systems and sectors, as well as the diverse system actors and the direct support of innovation and start-up activities in Lusatia.

You will carry out scientific work in the area of developing models and algorithms from the field of network optimization and combinatorial optimization in the context of energy systems. Various methods, including game-theoretic approaches as well as time-dependent flow models and algorithms will be investigated. Within the research project, you will work closely together with our partners from science and industry.

Other tasks include:

• Publication activity on the research topic in scientific journals

• Presentation of research results at international workshops and conferences

• Research-related administrative tasks within the framework of the research project

Deadline: June 30th, 2023

• You have successfully graduated from a university (accredited master's degree/university diploma or equivalent) in a field relevant to the job (mathematics, computer science, or comparable).

• You bring fundamental knowledge of at least one area of discrete mathematics or discrete/integer optimization.

• Interest in combinatorial optimization and the development of efficient algorithms for complex network problems.

• Interest in professional and personal development, especially towards a PhD.

• Very good knowledge of written and spoken English; good knowledge of German is an advantage.

A distinctive ability to work scientifically, an independent, goal-oriented and forward-looking way of working, high resilience and flexibility as well as communication skills and creativity complement your profile.

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