**Job Description**
This PhD position is part of the MICRO-PATH Doctoral Training Programme, funded by the Luxembourg National Research Fund, focusing on pathogenesis in the age of the microbiome. The interdisciplinary program bridges microbiology and big data analytics to study causal and mechanistic links between the microbiome and chronic diseases. The selected candidate will work within the Physics of Living Matter Group on the biophysics of host-pathogen interactions using in vitro model systems, mimicking conditions like Inflammatory Bowel Disease. The project involves both wet lab experiments and computational analysis to uncover biophysical principles regulating host-pathogen interactions and feedback, aiming to establish the microbiome as a therapeutic and preventative target.
**Skills & Abilities**
• Early-stage researcher (without a PhD, within the first four years of full-time equivalent research experience from the degree date entitling doctorate).
• Motivated.
• Background in biomaterials, soft matter physics, biophysics, or active matter physics (preferred).
• Experience or knowledge in quantitative imaging and image analysis (MATLAB or Python) (a plus).
• Experience or knowledge in machine learning techniques (a plus).
• Basic programming/coding (a plus).
• Fluency in English (mandatory).
• Willingness to work in an inter-cultural and international environment.
• Ability to work independently or as part of a team.
**Qualifications**
Required Degree(s) in:
• Physics
• Engineering
• Biology
• Related domains
Education Level:
• Master Degree or equivalent
**Experience**
Other:
• Early-stage researcher: a researcher without a PhD, who is in the first four years (full-time equivalent research experience) of their research career, measured from the date when they obtained the degree, which would formally entitle them to embark on a doctorate.
Note: We’ve analyzed the actual job post using AI, for more details visit the original job post by clicking on “Apply Now”!
