Research Associate in Cryogenic Super-Resolution Microscopy and Immune Cell Imaging

What will you be doing?

• You Will Lead the rebuilding, optimisation and further development of an existing cryogenic super-resolution microscopy platform.
• Help develop hardware control, image acquisition and analysis software associated with the microscope platform, in collaboration with software engineers.
• Establish safe operating procedures and provide technical leadership for microscope use and maintenance.
• Collaborate with immunologists and cell biologists to develop imaging workflows and experimental strategies.
• Contribute to future technology development, grant applications and collaborative projects.
• Disseminate research through publications, presentations, software releases and other outputs.
• Support the wider Sharp Lab through collaborative working, mentoring and supervision of students where appropriate.

Essential

• You should hold, or expect to hold shortly, a PhD in Physics, Engineering, Biophysics, Optical Engineering, Microscopy, Computational Imaging or a related discipline or have equivalent research experience in an academic, industrial or clinical setting.
• You should have experience designing, building, modifying or maintaining advanced optical instrumentation.
• You should have knowledge of laser safety, laboratory safety procedures and good experimental practice.
• You should have experience with optical alignment and troubleshooting of microscopy systems.
• You should have programming experience in Python, C++, MATLAB or a similar language.
• You should have experience developing scientific software or automated instrument-control workflows.
• You should have the ability to work independently and proactively drive technical and scientific development.
• You should have excellent communication skills and enthusiasm for interdisciplinary collaboration.

Desirable

• You should have experience with super-resolution microscopy techniques (e.g. SMLM methods).
• You should have experience with cryogenic microscopy or low-temperature optical systems.
• You should have experience integrating hardware and software for automated imaging platforms.
• You should have experience with image analysis, computer vision or machine-learning approaches for microscopy.
• You should have a track record of peer-reviewed publications.
• You should have experience supervising students or junior researchers.
• You should have experience presenting research at national or international conferences.