News & Activities

Call for Expression of Interest for MSCA Postdoctoral fellowships at UNIGE – N. 7 Optimization and machine learningHosting InformationOffer Deadline: Mon, 5 May 2025 - 13:00Organisation / Company: University of GenoaLink: https://euraxess.ec.europa.eu/jobs/hosting/call-expression-interest-msca-postdoctoral-fellowships-unige-n-7-optimization-andUniversity of Genoa, UNIGE, located in Genoa, ITALY, welcomes postdoctoral researchers of any nationality, with an excellent track record, to apply to the European Commission Marie Sklodowska-Curie (MSCA) Postdoctoral Fellowships 2025. Our University has been beneficiary of several MSCA-PF in Horizon 2020 and Horizon Europe. The Marie Sklodowska Curie (MSCA) Postdoctoral Fellowship is one of funding scheme of the European Commission’s Horizon Europe Research & Innovation programme, dedicated to excellent research promoting international mobility, as well as interdisciplinary and intersectoral exchanges. MSCA fellowship grant provides a competitive salary plus mobility and family allowances if applicable, as well as a contribution to cover research, training and networking costs. The research projects will have 2- or 3-years duration. Selected candidates will be provided with special support for proposal writing and development. The University of Genoa will organize in May the fifth edition of the Masterclass MSCA@UniGe. Selectedcandidate researchers will have the opportunity to attend a 2-days online intensive training and coaching course on how to write a successful proposal. This masterclass is a pathway of support to candidates and their supervisors in preparing project proposal, including prescreening activity of the draft proposals and the organisation of dedicated B2B meetings, by the European Research Office of UniGe, National Contact Point and other experts.The masterclass will take place on May/June2025.More information: Masterclass MSCA@UniGeMSCA domain: Mathematics (MAT)Research Project DescriptionI work in the field of optimization for machine learning and inverse problems. My main interest is the development and the application of mathematical optimization techniques to enhance the performance, efficiency, and interpretability of models and algorithms. Optimization plays a crucial role in the of training machine learning models. The goal is to minimize an empirical error, which is an approximation of the true objective function, perturbed by stochastic noise. In modern applications, the problem is often high dimensional, and most successful optimization methods are based on simple iterative procedures, such as gradient descent or stochastic gradient descent. I am interested in many challenges related to the behavior of gradient based methods such as: convergence in the nonconvex setting, implicit regularization properties, scalable, adaptive, asynchronous and distributed implementations.Research GroupMaLGa is a joint research center between computer science and mathematics. Its activities span a wide range of diverse but connected topics, including Computer Vision, Computational Harmonic Analysis, Data Science, Statistical Learning and Optimization.ApplicationAn expression of interest shall be sent to prof. Silvia Villa (silvia.villa@unige.it, Orcid ID: 0000-0002-6232-5631) within 5th May 2025.Your file should contain the following elements:A short CVA one-page research proposalOne/two letters of reference (optional)For more information, please contact prof. Silvia Villa (silvia.villa@unige.it).EligibilityFor MSCA-PF 25 call (opening foreseen on 9th April 2025), at the deadline for the submission of proposals (10th September 2025) postdoctoral candidates shall have a maximum of 8 years of postdoctoral research experience and must not have resided or carried out their main activities in Italy (for European Fellowship) or in the Third Country of the outgoing phase (for Global Fellowship) for more than 12 months in the 3 years immediately prior to the abovementioned deadline. More info on MSCA PF are available at the following link: https://marie-sklodowska-curie-actions.ec.europa.eu/actions/postdoctora…

The Career Development Award from the Giovanni Armenise Harvard Foundation supports early-career researchers wishing to join the Italian research community as independent investigators. Applications close on July 15, 2024.What is fundedAs part of the preliminary discussion with a Host Institute in Italy, an offer of a tenure-track position is desirable. The award provides 200,000 EUR/year. Funds can cover salaries for the scholar (commensurate with the position at the Host Institute), technicians, junior scientists, research supplies or administrative support required for the program. Funds can also cover specialized equipment not normally available at the Host Institute. Up to 10% of the funds can be used for administrative costs associated with the program in the host department.Duration3 yearsEligibilityApplicants must:have at least 3 years of postdoctoral experience in basic biological sciences and no more than 11 years post PhD.be currently outside Italy and wishing to move to Italy

Deadline: 22 May 2024Research Field: Professions and applied sciencesFunding Type: FundingMore Information: https://www.scientifyresearch.org/grant/career-development-award-basic-biological-science-italy/Project Key Words: Congenital heart disease, phonocardiogram, Artificial IntelligencePost summaryOur project focuses on harnessing the power of Artificial Intelligence (AI) to analyze phonocardiogram (PCG) data for the early detection of congenital heart disease (CHD). By developing advanced AI algorithms, we aim to revolutionize the way CHD is diagnosed and managed, leading to better outcomes for patients.Person specificationQualificationsEssentialHonours Degree (minimum 2:1) in biomedical engineering, computer science, electrical/ electronics engineering, or a related field.Strong background in signal processing and machine learning.DesirableProficiency in programming languages such as Python, R or MATLAB.Practical experience in simulation environments and Machine Learning libraries.Experience with cardiovascular physiology or cardiology research.Experience with GUI development and web applications. Knowledge & Experience EssentialExperience with machine learning techniques, including deep learning and neural networks.Strong analytical and problem solving skills. DesirablePrevious research experience in healthcare or medical signal processing projects.Experience with data visualization tools.Familiarity with phonocardiogram data analysis and interpretation. Skills & CompetenciesEssentialApplicants whose first language is not English must demonstrate on application that they meet SETU’s English language requirements and provide all necessary documentation. See Page 7 of the Code of PracticeIn order to be shortlisted for interview, you must meet the SETU English speaking requirements so please provide evidence in your application. DesirableExcellent written and verbal communication skills.Willingness and motivation to learn and experience new theoretical and technological areas.