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Research Assistant in Computational Mechanics

KevinGE's picture


We are looking for a research assistant who is interested in developing and implementing computational algorithms for simulation and optimization in structural mechanics applications.
Our current research lies broadly in the field of computational mechanics and includes the development and implementation of novel computational methods for the discretization of ordinary and partial differential equations arising in structural and continuum mechanics (such as finite element methods and isogeometric analysis), multi-disciplinary design, shape and topology optimization methods, as well as application of those methods in digital design and additive manufacturing, e.g. 3D/4D printing, lattice structures, metamaterials, composites or textiles, and integration into computer-aided design-to-manufacturing approaches.
Depending on the interest, background and skills of the candidate, he or she will be involved in an interdisciplinary project which may cover several of above-mentioned research areas, providing ample opportunities to learn and develop one's skills.

Desired qualifications:

  • Bachelors or Masters degree in Mechanical, Structural or Aerospace Engineering, Applied Mathematics, Computer Science, or related areas.
  • Strong communication skills and curiosity to solve challenging problems.
  • Basic knowledge in foundations of structural and continuum mechanics.
  • Basic knowledge in numerical methods for differential equations (finite element method) and topology optimization.
  • Programming skills, preferably in C++ and MATLAB.
  • Experience with Finite Element and CAD software (e.g. Abaqus).

About SUTD and DManD Centre:

The Singapore University of Technology and Design (SUTD)has established the SUTD Digital Manufacturing and Design (DManD) Centre, through the support of the National Research Foundation (NRF). DManD has an ambitious long term vision to create the frontiers of digital design and manufacturing by bringing together new ideas and methods in computational and engineering sciences, industrial and manufacturing engineering, technology-intensive design, architecture, and the humanities, arts, and social sciences in a way that facilitates the rapid transition of ideas to things.

Further information:


The candidate will be supervised by Prof. Dr. Martin L. Dunn (DManD Centre director and EPD pillar, website). For inquiries and application please contact Dr. Oliver Weeger (, website) or Dr. Narasimha Boddeti (

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