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.
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Research Assistant / Associate (f/m/d)
Lehrstuhl für Mathematics for Uncertainty Quantification
Our Profile
The 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.
Your Duties and Responsibilities
- 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.
What We Offer
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.