11 Stellenangebote
in den Kategorien
Mathematik Informatik Wirtschaftsinformatik Wissenschaftliche/r Mitarbeiter/in Nordrhein-Westfalen Hochschule
in den Kategorien
Mathematik Informatik Wirtschaftsinformatik Wissenschaftliche/r Mitarbeiter/in Nordrhein-Westfalen Hochschule
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Research Assistant / Associate (f/m/d)
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Wissenschaftliche/r Mitarbeiter/in (m/w/d) für das DFG Projekt SEMIAC im Forschungsbereich Robotik/Computer Vision
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Wissenschaftliche/-r Mitarbeiter/-in (m/w/d) Lehrstuhl Technologiemanagement
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Wissenschaftlich Beschäftigte*r im Bereich »Digitalisierung im Supply Chain Management und in der Unternehmenslogistik«
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Wissenschaftliche:n Mitarbeiter:in (w/m/d) für die Digitalisierung in der wirtschaftswissenschaftlichen Forschung
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Wissenschaftliche/r Mitarbeiter/in (w/m/d) an Universitäten
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Next Generation Public - Öffentlicher Dienst (digitales Event am 24.11.2022)
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Wissenschaftliche/r Mitarbeiter/in (w/m/d)
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Wissenschaftliche:n Mitarbeiter:in (w/m/d) im Institut Naturwissenschaften (Promotion)
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Wissenschaftliche Mitarbeiterin / Wissenschaftlicher Mitarbeiter (m/w/d) Softwareengineering
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Wissenschaftliche/r Mitarbeiter/in (m/w/d) für den Bereich ILIAS E-Assessement
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Wissenschaftliche*r Mitarbeiter*in im Bereich Behavioral Finance
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Research Assistant / Associate (f/m/d)
Veröffentlicht am
Bewerbungsfrist
Vollzeit-Stelle
Contact
If you have any questions, please contact
Prof. Dr. Raúl Tempone
Tel.: +49 (0) 241 80-99205
Email: tempone@uq.rwth-aachen.de Please send your application by February 28, 2022 to
Prof. Dr. Raúl Tempone
Lehrstuhl für Mathematics for Uncertainty Quantification
Pontdriesch 14-16
52062 Aachen, Germany Applicants are invited to submit their applications via email to: tempone@uq.rwth-aachen.de. For data protection reasons, however, we recommend sending applications via mail. 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. We also offer a comprehensive continuing education scheme and a public transportation ticket available at a significantly reduced price.
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
Prof. Dr. Raúl Tempone
Tel.: +49 (0) 241 80-99205
Email: tempone@uq.rwth-aachen.de Please send your application by February 28, 2022 to
Prof. Dr. Raúl Tempone
Lehrstuhl für Mathematics for Uncertainty Quantification
Pontdriesch 14-16
52062 Aachen, Germany Applicants are invited to submit their applications via email to: tempone@uq.rwth-aachen.de. For data protection reasons, however, we recommend sending applications via mail. 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. We also offer a comprehensive continuing education scheme and a public transportation ticket available at a significantly reduced price.
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
Research Assistant / Associate (f/m/d)
Lehrstuhl für Mathematics for Uncertainty Quantification
Our ProfileThe Alexander von Humboldt Chair of Mathematics for Uncertainty Quantification (MATH4UQ) of Prof. Raul Tempone at RWTH Aachen invites applications for several postdoctoral positions. The successful candidates will perform mathematical and computational research and become an active part of an international research network with a wide scope and high visibility.
Your Profile
- Ph.D. degree in mathematics, computer science, computational engineering sciences, or related fields
- High motivation, the ability tocarry out research independently as well as to work in interdisciplinary teams
- Proficiency in written and spoken English.
- Experience in performing collaborative research, Experience teaching in German
- Proficiency in written and spoken German.
- Applications must contain a letter of motivation, a CV including a list of publications, and copies of degree certificates, along with contact details of at least two academic referees.
- The main scope of the MATH4UQ Chair is to develop efficient numerical methods for solving forward and inverse problems, includingoptimal control and optimal experimental design, involving stochastic and random differential equations.
- Successful candidates should hold a Ph.D. degree in mathematics, computer science, computational engineering sciences, or related fields.
- They should have expertise in at least one of the following areas: uncertainty quantification, machine learning, data science, numerical analysis, stochastic optimal control, stochastic optimization, optimal experimental design, inverse problems as well as stochastic simulation and approximation. The position comes with a teaching duty.
The successful candidate will be employed under a regular employment contract.
Application time: 28.02.2022 or the position will be filled as soon as we have received accepted candidates.
The position is for 2 years.
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.