PhD Position in Raman Scattering Microscopy: Join our innovative research team at MOSAIC and contribute to the advancement of coherent Raman microscopy techniques in cancer diagnosis. This funded PhD position offers a unique opportunity to work on cutting-edge biomedical imaging technologies.
PhD Position in Coherent Stokes Raman Scattering Microscopy
Designation: PhD Position
Research Area: Coherent Stokes Raman Scattering Microscopy
Location: Marseille, France
Eligibility/Qualification:
- Degree in photonics, physics, physical chemistry, or related field
- Top 25% performance in university education
- Experience in microscopy techniques (preferred but not required)
- Proficient in English (French language skills can be acquired)
Job Description:
- Construct and characterize novel coherent Stokes Raman microscopes
- Simulate experiments using Matlab or Python
- Collaborate with theoretical physicists
- Optional hands-on experimentation with cancer samples
- Assist in tissue malignancy prediction using machine learning algorithms
How to Apply:
Interested candidates should send their motivation letter, detailed CV, letter of recommendation, and reference to sandro.heuke@fresnel.fr
Last Date for Apply: Ongoing – Apply Now
PhD Position Details
| Team: MOSAIC |
|---|
| Thesis Supervisor: Sandro HEUKE |
| Duration: 36 months |
| Funding: ERC Consolidators Grant |
| Contact: sandro.heuke@fresnel.fr |
Mission:
Advance coherent Raman microscopy for real-time cancer sample imaging. Develop new microscopy techniques including coherent Stokes Raman scattering (CSRS) for investigating thick, non-transparent tissues.
Offer Details:
- ERC consolidators’ grant (sCiSsoRS, 2.4 M€)
- Access to cutting-edge equipment
- Mentoring by experienced postdoc
- Focus solely on research
- Engage in multinational team with 10 scientists, 30 postdocs, and PhD students
For detailed information and to apply, visit the website or contact sandro.heuke@fresnel.fr.
Don’t miss this exceptional opportunity to contribute to groundbreaking research in cancer diagnosis using cutting-edge imaging technologies. Apply now and be part of a dynamic team working towards improving healthcare outcomes.
