Postdoctoral Fellow / Postdoctoral Fellowess

Paul Scherrer Institut (PSI) - October 2, 2025

Your Tasks

  • Acquire and analyze a benchmark dataset of brain tissue in support of large-scale neuronal circuit reconstruction.
  • Design and implement acquisition strategies that maximize measurement efficiency and data quality.
  • Support the reliable operation of the LaMNI endstation, including the use of a new high-speed detector at Swiss Light Source (SLS 2.0).
  • Contribute to the prototyping and validation of data processing pipelines.
  • Plan, execute, and troubleshoot beamline experiments.

Your Profile

  • PhD degree in physics, signal processing, computational imaging, or a related field.
  • Interest in method development and experimental problem-solving.
  • Experience with large-scale imaging or computational image reconstruction is an advantage.
  • Willingness to engage in hands-on work at the beamline.
  • Ability to work independently and collaborate effectively across disciplines.

We Offer

Our institution fosters interdisciplinary, innovative, and dynamic collaboration. You will benefit from systematic on-the-job training, along with personal development opportunities and a strong vocational training culture. We support you in optimally balancing work with family life and personal interests through our modern employment conditions and on-site infrastructure.

Your employment contract is limited to 2 years, with the option to extend it by 1 year.

Application Process

Only applications that match the job profile will be considered. Apply online using the form below.

Contact Information

For further information, please contact Dr. Andreas Menzel at andreas.menzel@psi.ch or call +41 56 310 37 11.

Paul Scherrer Institute, Human Resources Management, Pascale Bärtschi, 5232 Villigen PSI, Switzerland.

Location : Villigen PSI
Country : Switzerland

Application Form

Please enter your information in the following form and attach your resume (CV)

Only pdf, Word, or OpenOffice file. Maximum file size: 3 MB.