Empa - the place where innovation starts
Empa is the research institute for materials science and technology of the ETH Domain and conducts cutting-edge research for the benefit of industry and the well-being of society.
Computational Biology PhD student (100%)
In the Laboratory for Particles-Biology Interactions at Empa in St. Gallen, we aim to develop healthcare solutions of the future, grounded in the in-depth understanding of materials-biology interactions across scale. The Laboratory’s group Multi-omics for healthcare materials contributes to new concepts for nanomedicine by relying on the analysis of large-scale biomedical datasets, employment of advanced data analytics and modelling of material properties.
We are looking for a highly motivated and enthusiasticDuty
to join our dynamic and interdisciplinary team. The student will contribute to cutting-edge research and innovation work on a joint project with clinical and industry partners. The project involves analysis of proteomics and cellular signalling data, building of a machine learning model for the selection of desired materials properties and integration of different data sources. The planned work is of a strong relevance for the improved understanding of patient’s immunological and metabolic phenotypes and of their response to treatments. Moreover, the project has a strong potential to contribute to the development of new modalities for nanomedicine. The student will be embedded within a highly interdisciplinary team of scientists at different academic stages and will play an active role in the collaborative work with external partners.
Requirement
We are looking for an excellent candidate with a University degree inNatural sciences, computational biology or engineering. The student should have strong academic record with high University grades, practical experience of work on research projects and a good command of the English language. In addition, the candidate should have strong programming skills, experience in data analysis and good knowledge of statistics and molecular biology.
We offer a highly interdisciplinary and supportive environment with strong research and innovation projects. The PhD position (100%) is for the duration of three years, and is available from February 2021, or after negotiation.
