Ph.D. Fellowship in Bioengineering and Robotics, Curriculum Bionanotechnologies
The processes of Life are naturally dynamic in space and time from the molecular to the organismal level. Among the different imaging techniques, light microscopy is the only one that potentially can work across this full scale of biological organisation. Ideally, light microscopy is able to visualise the inner workings of proteins, protein complexes, organelles, cells, tissues, organs and whole organisms. However, in practice each specific microscopy techniques poses some fundamental limitations in terms of spatiotemporal resolutions/ranges, labelling, invasiveness, and information contents. The core research of our group (Molecular Microscopy and Spectroscopy, MMS) is the design, development, and validation of novel optical, biological and computational tools that allow the modern biologists to peer inside living cells with unprecedented spatiotemporal resolutions/ranges, minimal invasiveness, and augmented information content. This goal can be achieved only by working across many disciplines, from physics to engineering, from computer science to biology.
The PhD student will be fully integrated in this general mission and his/her specific project will be design according to his/her background and skills. Current general projects, among which the candidate will contribute, consist in (i) the implementation of super-resolution laser scanning microscopy techniques (e.g., STED and image-scanning microscopy) for deep- and multi-parameter imaging which leverage a unique class of single-photon detector array recently introduce by our group; (ii) the realisation of single-molecule spectroscopy/imaging/tracking architectures which combines nanometre 3D spatial resolution, high-throughput, and ability to quantitatively study the function and structure of different multi-protein machineries/bio-molecules; (iii) the realisation of a wide-field based microscopy technique for large field-of-view and fast imaging based on non-conventional illumination and detection schemes; (iv) design of computational tools in the context of the above projects for improving the imaging quality, and/or reconstruct the finale images, and/or decodes from the dataset the maximum number of specimen information. The PhD student will work in the realisation of these novel methods in order to investigate the most exciting unresolved question from Life sciences. The PhD student will benefit significantly from the active collaborations of the MMS group with the several computational and photonics groups of the Istituto Italiano di Tecnologia.
The project is extremely multi-disciplinary, and it involves many different aspects. Hence, the position is open to candidate having a Master’s degree in one of the following areas: Physical Science, Computer Science, and Engineering. Ability and motivation to work independently as well as collaboratively in an interdisciplinary team is very important. Good English language speaking and writing skills are required. For Computer Science candidates good coding skills (preferably in Phyton) and knowledge in Artificial Inteligence are important.
How to Apply:
In order to apply for this position, it is mandatory to refer to the procedures administered by the Università degli studi di Genova. Please contact Dr. Giuseppe Vicidomini (firstname.lastname@example.org) for information.
Application deadline: June 15th, 2021