Research Assistant/Associate (f/m/d) - Dynamic Electrical Grids

at  RWTH Aachen

52074 Aachen, Nordrhein-Westfalen, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate13 Oct, 2024Not Specified13 Jul, 2024N/AInformation Technology,State Estimation,DynamicsNoNo
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Description:

ABOUT US

RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket.
RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.
As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.
You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union’s General Data Protection Regulation (GDPR) at http://www.rwth-aachen.de/dsgvo-information-bewerbung.
Application
Number:
V000008042
Application deadline:
28/07/2024
Mailing Address:
RWTH Aachen University
Lehrstuhl für Automation of Complex Power Systems
Bettina Schäfer
Mathieustr. 10
52074 Aachen
Email:
Applicants are invited to submit their applications via email. For data protection reasons, however, we recommend sending applications via mail

Responsibilities:

The ongoing evolution of electricity grids into smarter, more decentralised and renewable energy-integrating systems presents both opportunities and challenges for the management and operation of these critical infrastructures. As electricity grids absorb a higher proportion of renewable energy such as wind and solar power and utilise advanced demand-side management and energy storage technologies, the dynamics and complexity of these systems are increasing significantly. This transformation is not only changing the energy landscape, but also requires significant advances in grid management techniques, particularly in state estimation, which is critical to maintaining grid stability and reliability.
Traditional methods of state estimation of electrical grids were developed for much more static environments and mostly for transmission grids, which is why there is a great need for research into modern methods of state estimation in the area of dynamic distribution grids.
Your tasks are to develop new methods and approaches for estimating the state of dynamic distribution grids with a high proportion of intermittent resources. Thanks to the integration of research as part of project work, you will have the opportunity to test the developments not only in a simulative environment, but also in the field with pilot partners. In a team with other scientists and industrial partners, your developments will be integrated into operational systems and tested under real conditions.
Thanks to the reliable guidance of our professors, you will publish your new scientific findings in high-ranking specialist journals.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Electrical/Electronic Manufacturing

Engineering Design / R&D

Electrical Engineering

Graduate

Proficient

1

52074 Aachen, Germany