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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 17,000 people, including over 12,500 students and 4,000 researchers from more than 120 different countries.

Quantifying the seismic effects on steel structures via hybrid simulation

Mission

We invite applications for a Post-doctoral scientist position in Resilient Steel Structures Laboratory (RESSLab) of EPFL under the supervision of Prof. Lignos. The successful candidate will primarily work on quantifying the seismic effects of eccentrically braced frames (EBFs) at large deformations by (a) integrating 3-dimensional frame finite elements into software for conducting hybrid simulation; (b) by conducting full-scale testing; (c) exploiting and validating new design concepts applicable to EBF systems. Steel frames with seismic links when detailed effectively, allow for prefabrication, accelerated construction and deconstruction, thereby promoting sustainable design and engineering for reuse.

Main duties and responsibilities

  • Participating in a multidisciplinary group of researchers in computational mechanics and structural engineering with emphasis on seismic loading;
  • Working with and mentoring master and PhD students;
  • Participating in teaching activities and proposal writing;
  • Conference travel and other professional development support

Profile

  • PhD in structural engineering with emphasis on structural mechanics.
  • Experience in computational simulation of materials and/or structures.
  • Background on relevant coursework in structural dynamics, nonlinear analysis of structures numerical methods and control.
  • Knowledge on the finite element method and analysis of structures with material and geometric nonlinearities is highly desirable. Knowledge with programs such as OpenSees and ABAQUS is preferred.
  • Background in experimental mechanics and large-scale testing with a preference into prior experience with hybrid testing.
  • Background in computer programming, such as C++, or Python or MATLAB.
  • Exceptional oral and written communication in English.
  • Effective interpersonal and collaborative skills.

We offer

  • Competitive salary supplemented with fringe and benefits.
  • Exceptional working conditions within a multicultural working environment.
  • Access to high-quality experimental and computational facilities.
  • One year contract renewable up to 3-years depending on the anticipated performance.

Informations

  • Review of applications begins immediately and continues until the position is filled.
  • Requested CV, statement of purpose and the names of at least two referees.
  • Start date is as soon as possible but no longer than September 2025.










Apply now »