Research Assistant

vor 3 Wochen


Aachen, Deutschland RWTH Aachen University Vollzeit

**Weitere Informationen**:
The position is to be filled at the earliest possible date and offered for a fixed term of 3 years.
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**:
The control of chemical reactors is a well-studied problem but is especially challenging in the case of polymerization reactors because many of the important characteristics of the polymer evolve continuously with time and cannot be measured directly online. Aided by first-principles mathematical models of the polymerization process, CINEMA aims to address this problem by using machine learning to accelerate the prediction of the evolution of the polymerization such that reactors can be controlled on-line. Polymeric systems often have elaborate structure-property relationships that are challenging to accurately establish using only first-principles models. In CINEMA this issue will be overcome by combining first principles and machine learning approaches such that they can be trained with comparatively small amounts of experimental data. This “science-informed” machine learning approach will be applied to industrially relevant products such as waterborne coatings and adhesives.

**Ihr Profil**:
MSCA-recruiting rules are applied: not having resided in Germany for more than 12 months in the 3 years immediately before the recruitment date, and not having carried out their main activity (work, studies, etc.) in Germany during this period.
Excellent command of written and spoken English is a must. Ability for research management, dissemination, communication with colleagues and supervisors, strong teamwork spirit, creativity and problem solving. Solid programming skills, knowledge of numerical optimization. Research experience in the academic or industrial sector will be considered.

**Ihre Aufgaben**:
The fellowships are funded as part of the Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks under the European Commission’s Horizon 2021 programme. Your tasks within our CINEMA project are: Machine learning applied to accelerate the computation of the optimization problem. Controller model simplification using machine learning. Combining ML-driven fast update model predictive control methods for hybrid models.

**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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