03/09/2026

News > Job > Offre d'emploi permanent
AMO Engineer

Laboratory : Lace Lithography
Place : Bergen (Norvège)

Lace Lithography is seeking a highly experienced AMO Experimental Physicist / Engineer to join our AMO team. In this high-impact role, you will be a key contributor to the development and optimization of our Beam Conditioning systems. Working alongside physicists, chemists and developers, you will play a critical role in transitioning high-level R&D concepts into robust product architectures. This role requires a combination of deep theoretical understanding and hands-on experimental skill in laser cooling and atomic physics.

Acitivites

This list is not exhaustive; additional duties may be assigned as we grow.

  • Experimental Development: Design, build, and optimize experimental setups involving laser cooling, atomic beams, and metastable atom sources.
  • System Optimization: Work on the iterative improvement of beam conditioning modules, focusing on flux enhancement, beam control, and long-term stability.
  • Diagnostics: Develop and implement advanced diagnostic systems, including spectroscopy, beam profilers, etc.
  • Hardware Integration: Collaborate with Optomechanical and CAD engineers to improve the atomic physics systems.
  • Operational Support: Support the deployment of Lace systems and provide technical training to new AMO Squad members.
  • Documentation: Contribute to technical background documents and design reviews, providing supporting evidence through detailed calculations and references.

Profil

  • Education: PhD in Physics, Applied Physics, or a related engineering field with a focus on AMO physics or a Masters in Physics with 5 years of experience in AMO.
  • Technical Expertise: Proven experience with laser cooling, and atom optics.
  • Hands-on Skills: Proficiency in working with and aligning complex optical systems related to atomic physics experiments. Knowledge of and experience with vacuum systems.
  • Analytical Skills: Strong ability to perform feasibility studies, modeling, and quick calculations to guide system development.
  • Software: Experience with data acquisition and analysis tools (e.g., Python, MATLAB, or LabVIEW).