Research Assistant/associate - Aachen, Deutschland - RWTH Aachen University

RWTH Aachen University

Geprüftes Unternehmen

Aachen, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Weitere Informationen:

The position is to be filled at the earliest possible date and offered for a fixed term of one year.

An extension to 4 years in total is provided.

The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).

This is a full-time position.
The salary is based on the German public service salary scale (TV-L).
The position corresponds to a pay grade of EG 13 TV-L.

Unser Profil:

At the Chair of Thermodynamics of Mobile Energy Conversion Systems (TME) and the Center for Mobile Propulsion (CMP) under the direction of Prof.

Dr.
Ing. (USA) Stefan Pischinger, research on all topics concerning the vehicle powertrain is conducted.

Core focus is still the research on conventional combustion engine development like the implementation of innovative engine designs, fundamental research on more efficient combustion processes also in combination with alternative fuels or the improvement of the engine mechanics and aftertreatment systems.

Additional research areas include virtual engine development, hybrid powertrains, electromobility as well as fuel cells and mechatronics for combustion engines.

At any time research is closely associated with the ongoing development of intelligent methods for test procedures and engine calibration.

The Chair of Thermodynamics of Mobile Energy Conversion Systems employs more than 260 scientific, technical and administrative employees as well as student assistants.

Ihr Profil:

University degree (Master's degree or equivalent) in Mechanical Engineering or Electrical Engineering
Knowledge of modeling/simulation of fuel cell (systems), preferably in Matlab/Simulink or Modelica, experience in measurement data evaluation and test bench operation advantageous
Basic knowledge of PEM fuel cells/systems and electric powertrains advantageous
Good computer skills
Fluent in english
Ability to work independently and scientifically
Creative, flexible and teamorientation

Ihre Aufgaben:

Experimental investigation of aging effects on the single cell and stack test bench.
Analysis of aging data using AI and Big Data approaches
Development of aging models for lifetime prediction and for model predictive control

Über uns:

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.

Besoldung / Entgelt:

EG 13 TV-L

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