Doctoral Researcher (PhD student), Electron beam writing of master's for NIL of high-power laser sy
About this role
The Faculty of Science, Forestry and Technology, Department of Physics and Mathematics
The University of Eastern Finland invites applications for a Doctoral Researcher (PhD Student) (MSCA-DN) position as part of the TRADES (Training & Research in Advanced Dispersion Engineered grating-waveguide Structures) Doctoral Network of the European Commission. The position is based on the Joensuu campus, and it is expected to begin no later than 1 January 2027. The position is full-time and will be filled for a fixed term of three years.
Read more below and submit your application no later than 21 October 2026.
Title, role and research theme
We are looking for a motivated Doctoral Researcher (PhD student) (MSCA-DN) to develop and optimise electron beam lithography processes for the fabrication of master templates used in nanoimprint lithography (NIL) for the replication of grating waveguide structures (GWS) for high-power laser pulse compressors. In this position, you will be working in the Department of Physics and Mathematics at the Faculty of Science, Forestry and Technology.
This position is a part of the TRADES (Training & Research in Advanced Dispersion Engineered Grating-Waveguide Structures) Doctoral Network of the European Commission. This position is one of fifteen doctoral positions within the TRADES consortium. The position is filled for three years and will offer the successful candidate the opportunity to participate in an exciting international training programme, including doctoral schools, workshops, and secondments at both academic and industrial partner organisations (see the project overview below).
The role of the Doctoral Researcher (PhD student) will involve overcoming challenges relating to the accuracy of large-area patterning and compensating for process-induced deformations across multiple fabrication steps. The researcher will develop electron-beam patterning strategies for NIL masters, considering subsequent replication steps; optimize param