The computational life sciences (CLS) group of IT’IS pursues simulation-based assessment of interactions between physical exposure (e.g., to electromagnetic (EM) fields) and the physiology of living tissues. IT’IS co-developed the leading CLS platform Sim4Life. A major research focus involves interactions between EM exposure and neural activity, with applications ranging from low-frequency exposure safety to neuroprosthetics, electroceuticals, and other therapeutic applications. For that purpose, electrophysiologically functionalized, detailed anatomical models are developed and employed, with the goal to gain mechanistic understanding, optimize and personalize devices and treatments, and discover novel therapeutic approaches. Research is performed in international collaborations with world-leading experimental groups, major device manufacturers, and regulators.
The CLS group is seeking a creative, talented, and ambitious candidate with an interest in the development of related simulation technology, as well as theoretical and applied modelling studies. Additional topics of interest include uncertainty assessment, validation, optimization, image-based modelling, etc.
The PhD candidate will join a highly motivated and dynamic team working in various reated research areas to conduct independent and original research under supervision on the development of simulation technologies, software tools, and platforms for neurostimulation.
The position is available immediately, and applications will be accepted until the position is filled.
Applicants should have an interest in CLS and a university degree (diploma or master’s) in life sciences, natural sciences (biophysics, physics, mathematics), medical physics, or biomedical engineering. Preference will be given to applicants with solid scientific programming skills (Python, C++, etc.), competence in computational neuroscience, and, ideally, familiarity with NEURON (Yale). Good organizational skills, high motivation, and flexibility are a plus, as are an excellent ability to work both independently and as part of a team, including external collaborators.
Applications should consist of a cover letter, including the position title and a statement addressing the selection criteria and outlining the motivation for applying for the position; a detailed CV; copies of degree certificates and / or diplomas, including grades; and letters of recommendation. Please send the complete application as a single pdf file to: firstname.lastname@example.org.
For further information or to discuss the scope of this position, please contact Dr. Antonino M. Cassara (email@example.com or phone +41 44 245 9696).