PhD Research Fellow in Molecular fingerprinting in organoids using Raman and AF micro-spectroscopy

About this job

About the position We invite applications for a PhD Research Fellow position in molecular fingerprinting in organoids using Raman and autofluorescence micro-spectroscopy, available at the Department of Physics of the University of Oslo (UiO). The starting date is no later than 1 April 2027. The fellowship period is three years. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The place of work is the Department of Physics in Blindern, Oslo. Background of project This doctoral project will develop and apply advanced label-free optical spectroscopy approaches to investigate molecular and metabolic changes in organoid models of viral infection. The project will combine Raman micro-spectroscopy and UV–visible autofluorescence (AF) spectroscopy, providing complementary information on the biochemical and metabolic state of biological samples without requiring external fluorescent labels. Raman micro-spectroscopy, primarily using 785 nm excitation, will obtain molecular fingerprints associated with lipids, proteins, nucleic acids and metabolites. Complementary UV–visible autofluorescence spectroscopy in the 350–500 nm spectral range will probe endogenous fluorescence signatures associated with cellular metabolism and biochemical composition. The project will investigate both free-space spectroscopy and waveguide-enhanced spectroscopic approaches, including waveguide-enhanced Raman and waveguide-based autofluorescence spectroscopy, with the aim of improving sensitivity to subtle molecular changes. Photonic waveguides provide strong and spatially extended light–matter interaction through the evanescent optical field, offering opportunities to enhance Raman signals and AF-signals and improve sensitivity compared with conventional free-space measurements. Particular emphasis will be placed on identifying spectral signatures associated with early molecular alterations and metabolic reprogramming that may precede observable structural changes. AI-assisted spectral analysis will be explored to analyse the high-dimensional Raman and autofluorescence datasets. Machine-learning approaches will be used to identify spectral features and molecular signatures associated with infection, distinguish different biological states, and correlate spectroscopic changes with disease progression. The project will use organoid models of HIV-1 and Venezuelan equine encephalitis virus (VEEV) infection. As part of MSCA-DN the candidate must be open to travel and collaborate with other partners in this project, especially with other doctoral candidates (DC): DC 5, DC 9-10 and DC 12. Job description At the University of Oslo in Norway, we are looking for a Doctoral Candidate (DC 6) to work on WP 3. The main responsibilities of the DC 6 will be: To develop and adapt Raman and autofluorescence spectroscopy platform, To explore both free space and optical waveguide-enhanced Raman spectroscopy and waveguide-based autofluorescence spectroscopy, To apply these spectroscopy tools for organoid sections, analytes and virus, To generate spectral signatures (Raman and AF- library) associated with early molecular alterations and metabolic reprogramming during HIV-1 and VEEV infection, Apply advanced image analysis including AI assisted spectral analysis for high-dimensional Raman and AF- signals, Support and collaborate with other doctoral candidates related to spectroscopy, analysis and training. The doctoral candidate will be guided during this research project by Prof. Balpreet Singh Ahluwalia and Associated Professor Elisabeth Wetzer. You can apply for this position until 30 October 2026. Applications submitted after this date will not be considered. How to apply Technical information: Position location: Oslo, Norway Application deadline: October 30, 2026 Project start date: April 1st, 2027 Duration: 3 years Please follow this link to apply for this position and for more detailed instructions on the application: Doctoral Candidate 6 Vacancy — MERIT What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials. Required qualifications: Master’s degree or equivalent in physics or engineering or related fields such as biophysics and biomedical technologies. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system. Master dissertation must be submitted for evaluation by the closing date A strong background in optics, photonics, spectroscopy, or related experimental techniques. Hands-on experimental experience with the development, operation or application of optical spectroscopic instrumentation, such as Raman spectroscopy. Experience with data analysis

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