Research Assistant/Associate (f/m/d) in Applied Quantum Methods for Computational Science and E[...]

RWTH Aachen University; Aachen; Vor Ort; EUR 59.000 - 76.000; Vollzeit

Zusammenfassung

RWTH Aachen University sucht eine/n Wissenschaftler/in für ein befristetes Forschungsprojekt im Bereich Computational Engineering Science. Die Stelle bietet die Möglichkeit zur Promotion und arbeitet an quantenbeschleunigten Rechenmethoden.

Ziel ist die Entwicklung neuer Methoden zur Lösung transiente PDEs auf Quantencomputern im Rahmen des RWTH-Kollaborationsprojekts Q-KOMPASS. Die Position umfasst MOOCs-Entwicklung und Anwendungen in der Lehre.

Qualifikationen

• Universitätsabschluss (Master oder gleichwertig) in Computational Engineering Science oder verwandtem Feld mit hervorragendem Notendurchschnitt.
• Starke Kenntnisse in klassischen numerischen Methoden, maschinellem Lernen oder Quantenalgorithmen.
• Bereitschaft zur Entwicklung digitaler Lernformate, MOOC-Design und didaktische Wissensvermittlung.

Aufgaben

• Simulationstechniken zur Entwicklung und Bewertung von Modellen in Ingenieurproblemen einsetzen.
• Entwicklung quantenbeschleunigter Rechenmethoden zur Lösung transiente PDEs auf Quantencomputern; MOOC-Vorbereitung ca. 25% der Zeit.

Kenntnisse

Python-Programmierung

Unix-Kenntnisse

Maschinelles Lernen (Engineering)

Quantenalgorithmen-Kenntnisse

Numerische Verfahren

Ausbildung

Master oder gleichwertiger Abschluss in Computational Engineering Science / verwandtem Fach

Tools

Python

UNIX

Jobbeschreibung

Weitere Informationen

The successful candidate will be employed under a regular employment contract.
The position is to be filled at the earliest possible date and offered for a fixed term of 3 years.
The goal is to extend the employment relationship to a maximum of 6 years in total.
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 with the possibility of a part-time contract upon request.
The successful candidate has the opportunity to pursue a doctoral degree in this 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

Research aim at our institute is to bridge the gap between simulation-based and experimental investigations for a variety of engineering problems. Focus is the development and assessment of both physical models and numerical methods. In most cases, the numerical methods are connected to complex applications. We always work at the edge of the current state of the art in computational mechanics, focusing not only on classical numerical methods such as finite elements but also on recent trends such as machine learning. The position being advertised expands our activities in the field of applied quantum methods for computational science and engineering, and is part of the RWTH collaborative project Q-KOMPASS.

Please refer to www.cats.rwth-aachen.de for further information.

Ihr Profil

Requirement for this position is a University degree (Master or equivalent) in Computational Engineering Science, engineering, applied mathematics, physics, or a similar subject with a superior academic record. Strong knowledge of either classical numerical methods, machine learning for engineering problems, or quantum algorithms is sought. Openness to developing digital learning formats, particularly MOOCs, with an emphasis on didactic design and accessible knowledge transfer. Practical programming experience in Python is an advantage. Familiarity with the UNIX operating system would be ideal. We expect you to contribute to general tasks at the institute, such as teaching and advising master or project theses.

Ihre Aufgaben

Simulation techniques have become an important instrument for the development, design, and certification of engineering components. Since its foundation in 2004, our institute conducts active research at the interface between mechanical engineering, applied mathematics, and computer science. The proposed project aims at developing new quantum-accelerated computational methods for solving transient engineering problems, building upon recent developments in classical computational engineering and applied quantum methods. The concrete goals of the project are

• Definition of test cases and generation of models with differentiable quantum circuits.
• Development of alternative approaches to solve transient PDEs on quantum computers.

The project is part of the RWTH Aachen Collaborative project Q-KOMPASS. Approximately a quarter of the position is dedicated to the preparation of a massive open online course (MOOC). We value your enthusiastic and dependable involvement in all associated activities.

Über uns

RWTH is proud to be certified as a family-friendly university. As part of our Campus Health initiative, RWTH offers a wide range of health, counseling, and prevention services, including university sports. Employees under collective bargaining agreements and civil servants also benefit from a comprehensive continuing education program and the option to purchase a job ticket for convenient commuting.
RWTH is an equal opportunities employer. We welcome and encourage applications from all qualified candidates and make employment decisions without regard to national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is especially committed to supporting the advancement of women in academia. When women are underrepresented in a university unit, preferential consideration will be given to female applicants among candidates of equal merit and professional standing, unless compelling reasons favor another individual.
In keeping with RWTH’s commitment to equality of opportunity, we ask that you do not include a photo with your application.
Please refer to https://www.rwth-aachen.de/applicant-privacy-policy for information about how we collect and process applicant data in accordance with Articles 13 and 14 of the European Union’s General Data Protection Regulation (GDPR).

Besoldung / Entgelt

EG 13 TV-L