ELMI was created in 2001 to establish a unique communication network between European scientists working in the field of light microscopy and the manufacturers of their equipment.
Fondazione Istituto Italiano di Tecnologia – IIT (www.iit.it) invites qualified level applicants for a Post Doc position at the “Molecular Microscopy and Spectroscopy” Research Line lead by Dr. Giuseppe Vicidomini.
Recent technological advancements in fluorescence microscopy have made it possible to collect rich, multi-parametric data – such as the emission spectra, the excitation spectra, the excited-state lifetime, the polarization, and the photon statistics – of the specimen under investigation, simultaneously, in a single measurement, with a single instrument. As a result, the collected data cannot anymore be considered simply an image, but a multi-dimensional dataset from which one can not only extract the specimen structural information, but functional information as well. Currently, there is a huge lack of analytical methods and algorithms to effectively take advantage of the wealth of information that the current state-of-the-art microscopes collect. As a Postdoc at MMS (IIT) the selected candidate will take charge of developing such methods.
The selected candidate will use different computational tools, including deep/machine learning approaches, to explore this multi-dimensional data and extract more detailed sample structural and functional information. The candidate will work on datasets collected by different microscopy architectures, from super-resolution microscopes to conventional systems, having the possibility to give his/her contribution to many different projects, and at the same time to get a very broad understanding of the data analysis workflows in different microscopy methods and applications.
Essentials qualifications for this position include a Ph.D. in computer science, physics, engineering, or closely related discipline. Advanced coding skills (Python and C#), abilities in maintaining and sharing code repositories (git), and previous experience with deep learning are highly desirable. The ability and motivation to work independently as well as collaboratively in an interdisciplinary team are crucial. Good English language skill, both spoken and written, is required. Expertise in microscopy and controlling system will be considered a plus.
How to Apply:
Applications, including detailed Curriculum Vitae, a cover letter, a research statement and name and contacts of 2 referees, must be submitted through the online form at this link https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=2000003H
Further enquires may be sent to Dr. Giuseppe Vicidomini