Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Polytechnique Fédérale de Lausanne (EPFL), a world-renowned research and education center, offering an ideal academic environment as well as an excellent connection to industry. The available PhD position is
-
Willingness to work in a multi-national team Willingness to travel Computer/software skills: Proficiency with Microsoft Office Familiarity with K-layout, COMSOL, Lumerical Languages: Working
-
research and testing center, equipped with high-quality experimental facilities. Access to a network of renowned experts in the fields of hydraulics and electrical engineering. An excellent working
-
strategic delivery of IT infrastructure and services. Profile Must-Haves: A degree in computer science or a related field, or equivalent professional experience. At least 5 years of hands-on experience in
-
, monitoring and data analysis, helping them plan their projects, review their code and interpret their results. Your profile Essential qualifications and skills A degree in computer science, software
-
biology, physics, computer science, and engineering. For more information about the Dubochet Center please visit our website: https://dci-lausanne.ch/ . Informations Only applications submitted through
-
Physics, Optics, Micro-/Nanotechnology, Materials Science, Energy, or a related quantitative field A strong background in several of the following fields: theory of light-matter interaction, computer
-
Diplomas Transcripts/grades from Bachelor’s and Master’s studies If you are successful, you will need to enrol in one of the EPFL doctoral school programs in parallel. Please check this page for
-
regular faculty, and gradually progresses to the latter. Instructors are expected to be able to teach courses in English or French. Applicants should have a PhD in Mathematics or in Computer Science
-
following fields: reactive magnetron sputtering, electron-beam lithography, theory of light-matter interaction, computer simulations using the method of Finite Differences in the Time Domain (FDTD