PhD position in Application of Raman spectroscopy for Biomarker Detection in Wounds
Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain
The student will use Raman spectroscopy to identify a handful of protein and metabolite biomarkers for different phases of wound healing and define when presence of specific proteins/metabolites can indicate initiation of chronic wounds. The project will involve preparation of artificial wound exudates, as well as measurements on wound exudates from patients. The student will combine Raman spectroscopy, along with cutting-edge machine learning approaches and statistical analysis, to enable timely identification of high risk for the chronic wound formation. Your profile
We are looking for a highly motivated and enthusiastic candidate with a strong background in physics, chemistry or related field who wants to pursue cutting-edge research oriented towards direct clinical applications.
Required qualifications include a Master's degree in physics/chemistry or a related field. Prior experience in statistical analysis and machine learning is essential, while with Raman spectroscopy is advantageous. Excellent English skills, both in verbal and written communication, are required for the project.
The student will use Raman spectroscopy to identify a handful of protein and metabolite biomarkers for different phases of wound healing and define when presence of specific proteins/metabolites can indicate initiation of chronic wounds. The project will involve preparation of artificial wound exudates, as well as measurements on wound exudates from patients. The student will combine Raman spectroscopy, along with cutting-edge machine learning approaches and statistical analysis, to enable timely identification of high risk for the chronic wound formation. Your profile
We are looking for a highly motivated and enthusiastic candidate with a strong background in physics, chemistry or related field who wants to pursue cutting-edge research oriented towards direct clinical applications.
Required qualifications include a Master's degree in physics/chemistry or a related field. Prior experience in statistical analysis and machine learning is essential, while with Raman spectroscopy is advantageous. Excellent English skills, both in verbal and written communication, are required for the project.
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