Student Assistent (f/m/d)

Development of Cloud Sensing and Monitoring Layer for Power Device

Contact

Name

Zhiyu Pan

Telephone

workPhone
+49 (0) 241 / 80 - 49713

E-Mail

Institution

Lehrstuhl für Automation of Complex Power Systems

Your Profile

• Computer science or any related field
• Good programming skill and experience in Python
• Knowledge about Docker, MQTT and Linux are an advantage
• Interest in learning and testing

Your Duties and Responsibilities

The goal of this task is to provide a tailored interface for the data collection from networks and the transmission of commands/setpoints for the safe and reliable operation of the system. The data collected by the field instruments will be provided to the Open ICT platform according to a specific data model. The acquired data will be leveraged for the energy services developed. The sensing and monitoring layer specification will be technology-independent, but a reference implementation will be developed by extending existing DC and AC monitoring infrastructures by adopting and upscaling FIWARE compliant solutions. On top of the monitoring layer reconciliation and harmonization tools are necessary to support all the key functionalities that the ICT platform will integrate. It is necessary to develop tools for reconciliating, harmonizing and analysing monitoring data.

What We Offer

The successful candidate will be employed as a student assistant.
The position is to be filled at the earliest possible date and offered for a fixed term for 3 months.
An extension is possible.
This is a part-time contract position.
The standard weekly hours will be 8 - 15 hours.
The salary is based on the RWTH Guidelines for Student and Graduate Assistants.
The position corresponds to a pay grade of 11,80 € per hour.

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:V000002848
Application deadline:03/08/2022
Mailing Address:RWTH Aachen University
Lehrstuhl für Automation of Complex Power Systems
Zhiyu Pan
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.