Student Research Assistant - Planning of Energy Supply Networks (Electricity, Gas, Heat, Hydrogen)

Fraunhofer-Gesellschaft · Kassel

HiWiGerman needed: fluent

Still open on 2 Nov

You apply on the company's own website.

Key facts

Pay: Pay follows a company agreement for student helpers
Duration: 12 months; Longer cooperation is wanted
Where you work: Company and home
Language needed: German and English
Subject you study: Mathematics, Energy Engineering, Process Engineering, Industrial Engineering, Electrical Engineering, Computer Science

Getting familiar with planning of electricity, natural gas, hydrogen and/or heat networks
Sensitivity analysis of mathematical optimizations for energy supply networks
Determining network expansion and modelling future scenarios
Software development of the open source software tools pandapower and pandapipes

Ongoing studies in mathematics, energy engineering, process engineering, industrial engineering, electrical engineering, computer science, physics or similar
Experience with the Python programming language
Further knowledge in software development is an advantage, e.g. software versioning with Git, web interface development, experience in open source software development, working with databases (especially NoSQL)
Knowledge of energy supply networks is also an advantage, e.g. knowledge of electrical engineering and power grid calculation, knowledge of hydraulics and pipe network calculation, experience with commercial network calculation software (e.g. PSS Sincal, DigSILENT PowerFactory, STANET, NEPLAN, TRNSYS, SIMONE etc.)
Good German and English skills, written and spoken
Interest in renewable energies and the success of the energy transition

Close cooperation with our research colleagues
Flexible and individual adjustment of working hours to lecture and exam periods
The option to work both at the modern IEE campus and remotely
An open and helpful working atmosphere
Exciting discussions about current research topics
Openness to your ideas
The option to write your thesis (Bachelor / Master) on different topics from computer science, electrical engineering, energy engineering or mechanical engineering, depending on your qualification

Getting familiar with planning of electricity, natural gas, hydrogen and/or heat networks
Sensitivity analysis of mathematical optimizations for energy supply networks
Determining network expansion and modelling future scenarios
Software development of the open source software tools pandapower and pandapipes

Ongoing studies in mathematics, energy engineering, process engineering, industrial engineering, electrical engineering, computer science, physics or similar
Experience with the Python programming language
Further knowledge in software development is an advantage, e.g. software versioning with Git, web interface development, experience in open source software development, working with databases (especially NoSQL)
Knowledge of energy supply networks is also an advantage, e.g. knowledge of electrical engineering and power grid calculation, knowledge of hydraulics and pipe network calculation, experience with commercial network calculation software (e.g. PSS Sincal, DigSILENT PowerFactory, STANET, NEPLAN, TRNSYS, SIMONE etc.)
Good German and English skills, written and spoken
Interest in renewable energies and the success of the energy transition

Close cooperation with our research colleagues
Flexible and individual adjustment of working hours to lecture and exam periods
The option to work both at the modern IEE campus and remotely
An open and helpful working atmosphere
Exciting discussions about current research topics
Openness to your ideas
The option to write your thesis (Bachelor / Master) on different topics from computer science, electrical engineering, energy engineering or mechanical engineering, depending on your qualification