Laboratory : Lace Lithography
Place : Bergen (Norvège)
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).

