PhD Position in Computational Biology and Multiomics for Healthcare Materials at Empa/ETH Zurich Swiss Federal Laboratories for Materials Science and Technology (Empa) in Switzerland

Empa, the Swiss Federal Laboratories for Materials Science and Technology, is a leading research institution within the ETH Domain, dedicated to advancing materials science and technology for societal well-being. The Multiomics for Healthcare Materials group at Empa in St. Gallen specializes in generating and integrating multi-modal biomedical datasets to drive innovation in sensor development, nanoparticle-based cellular reprogramming, and the identification of new omics-based biomarkers. Collaborating closely with clinical partners, the group focuses on unraveling molecular mechanisms underlying disease development, aiming to translate research findings into direct clinical applications.

This PhD position is ideal for candidates passionate about computational biology and translational biomedical research. The successful applicant will work at the intersection of materials science, bioinformatics, and healthcare, integrating existing datasets and coordinating the generation of new data to address pressing scientific and clinical challenges. Responsibilities include data analysis, manuscript preparation, and presentation of research outcomes at international conferences, all within a vibrant, interdisciplinary environment.

Applicants must possess a Master's degree in computational biology or a related discipline, with proven experience in programming, statistics, and biomedical research. While machine learning expertise is advantageous, it is not mandatory. Strong English communication skills are essential, and candidates should demonstrate motivation, enthusiasm, and a collaborative spirit.

The PhD student will be enrolled at ETH Zurich and affiliated with the Swiss Institute of Bioinformatics, benefiting from Empa's outstanding infrastructure, competitive salary, and a culture that fosters scientific excellence and entrepreneurship. The position is available from April 2026 or by agreement, with a planned duration of four years. Empa values inclusion and respect, welcoming applicants from diverse backgrounds who are committed to innovative and meaningful research.

To apply, candidates should submit their application via the provided online link, ensuring all eligibility criteria are met. This opportunity offers a unique platform for aspiring researchers to contribute to cutting-edge advancements in computational biology, materials science, and healthcare.