PhD Research Fellow - Multimodal Microscopy & Viral Imaging

University of Oslo; Oslo; On-site; NOK 551,000 - 595,000; Full time

Benefits offered by this job

Good welfare schemes

Career development programmes

Pension and insurance benefits

Job summary

University of Oslo is offering a PhD Research Fellow position to develop multimodal microscopy for studying viral infection in organoids at the Department of Physics, Blindern, Oslo. The starting date is by 1 April 2027 and the fellowship runs for three years. The work involves integrating photonic chip-based super-resolution microscopy with QPM and correlative image analysis.

The candidate will be mentored by Prof. Balpreet Singh Ahluwalia and Prof.

Qualifications

• Master’s degree or equivalent in physics, engineering or related biomedical field.
• Hands-on experience with experimental optical instrumentation and microscopy systems.
• Strong background in Python or MATLAB for data analysis.
• Interest in multidisciplinary research group.

Responsibilities

• Develop and adapt a multi-modal optical microscopy platform.
• Perform correlative fluorescence microscopy with 3D quantitative phase tomography.
• Generate correlated datasets for HIV-1 and VEEV infection studies using organoid samples.
• Apply AI-assisted image analysis including segmentation and classification.
• Collaborate with other doctoral candidates and supervisors.

Skills

Python

MATLAB

Image analysis

Optical instrumentation

Multimodal microscopy

Team collaboration

Education

Master's degree in physics/engineering/biomedical engineering

Tools

Optical microscopy platforms

QPM / optical diffraction tomography

Fluorescence microscopy

Job description

University of Oslo is offering a PhD Research Fellow position to develop multimodal microscopy for studying viral infection in organoids at the Department of Physics, Blindern, Oslo. The starting date is by 1 April 2027 and the fellowship runs for three years. The work involves integrating photonic chip-based super-resolution microscopy with QPM and correlative image analysis.

The candidate will be mentored by Prof. Balpreet Singh Ahluwalia and Prof.