The Centre for Analysis, Scientific Computing and Applications (CASA) is inviting applications for postdoctoral researcher positions within the project 'DIMENSION,' an inter-disciplinary project funded by the European Research Council and by the Eindhoven University of Technology (TU/e).

We are a multi-disciplinary, international team of researchers developing data-driven computational methods to accelerate the simulation, optimisation and inverse analysis of systems governed by parametrized partial differential equations (PDEs).  The successful candidates will work on the development of dimension reduction methods to accelerate the assimilation of data into models and the optimal design of experiments, particularly for multi-scale materials. 

Candidates must therefore have a strong background or interest in working at the interface of numerical analysis, data science, and computational engineering.  The project necessitates close collaborations with researchers from applied mathematics, computer science, and mechanical engineering.  Although the project specifically focuses on problems in materials engineering, the developed methods will be broadly applicable to a wide range of engineering applications.

At CASA, we offer a dynamic, supportive, and collaborative working environment, with colleagues strongly committed to helping each other succeed.  We provide many opportunities for personal and professional growth and will actively work with you to help you achieve your career goals.

Candidates should have an earned degree in one of the following fields:

• applied or computational mathematics
• computer science 
• computational science / engineering
• data science
• scientific computing
• or closely related fields
   

Prior experience in programming numerical methods as well as experience or extensive course-work in at least one of the following fields (listed in alphabetical order) is required:

• computational solid mechanics
• data assimilation 
• data science 
• high-performance computing
• model order reduction for PDEs
• numerical analysis of PDEs
• optimal experimental design
• uncertainty quantification

The initial appointment will be for one year with the possibility of extension, depending on performance.  In addition to generous salary and vacation packages, TU/e offers numerous opportunities for training and growth.