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Mon, 19 Aug 2019 20:59:13 +0000
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Fri, 16 Aug 2019 20:55:30 +0000
NASA’s Marshall Space Flight Center will manage the agency’s efforts to develop a lander needed to achieve the goal of landing astronauts on the moon by 2024, an announcement overshadowed by political wrangling about what center should be responsible.
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NASA will perform an independent review of the non-profit organization that runs the portion of the International Space Station designated a national laboratory while also calling for a “strategic pause” in that organization’s work.
Tue, 13 Aug 2019 22:55:57 +0000
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Tue, 13 Aug 2019 01:56:46 +0000
As Russia prepares to launch an experimental humanoid robot to the International Space Station later this month, a similar NASA robot is being readied for a return to the station after repairs on Earth.
Mon, 12 Aug 2019 17:29:46 +0000
The European Space Agency said Aug. 12 that another test of the parachutes that will be used on the ExoMars 2020 lander mission failed last week, putting the schedule of the mission into jeopardy.
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ULA and SpaceX currently launch the bulk of U.S. national security satellites while Northrop Grumman and Blue Origin are looking to break in.
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    Personal information
    Contact information
    Candidate Profile
     Date Submitted:26-03-2019
     Last Modified:15-04-2019 (02:21)
    Job information
     Current job:Electronic Engineer
     Employment Term:Either
     Job location:Own country
     Date available:immediately


    N/A Open Application





    06/2018 – 11/2018

    Undergraduate trainee at e-GEOS S.p.A. (Algorithms Laboratory div.)

    e-GEOS company, Via Tiburtina 965, 00156 Rome, Italy

    Data analysis and validation of a ship classification system from Sentinel-1 Synthetic Aperture Radar (SAR) imagery.

    Building a dataset using Automatic Identification System (AIS) data and clipping Sentinel-1 SAR images containing ship at the centre. The images were retrieved from the Copernicus Open Access Hub and the labelling was done through a crowdsourcing system (PyBossa).

    Development of a Convolutional Neural Network (CNN), based on transfer learning method, able to classify different types of vessel. Use of Python (Pandas & Keras Libraries) in a UNIX environment.


    09/2013 – 07/2016

    Volleyball coach

    A.S.D. Giro Volley, Viale Arrigo Boito 143, 00199 Rome, Italy

    Coach and manager of a youth team.




    12/2014 – 01/2019

    Master’s degree in Electronic Engineering (M.Sc.)

    Final mark: 110/110

    Sapienza – University of Rome, Via Eudossiana 18, 00148 Rome, Italy

    Specialization: Earth Observation, Remote Sensing, Radiopropagation and RADAR Meteorology.

    Thesis: “Data analysis and validation of a ship classification system from SAR imagery based on neural networks” (Thesis carried out at e-GEOS company)

    Advisor: Prof. Nazzareno Pierdicca

    Co-Advisors: Dr. M.Costantini (e-GEOS), M.Sc. F. Macina (e-GEOS), Ing. C.Avolio (e-GEOS)


    “Performance analysis of the AlphaSat Q-Band Link” (link-budget based on ITU-R P.618-11) during Radiopropagation.

    Advisor: Prof. Frank Silvio Marzano

    “RISC-V De-assembler” during Architecture of Integrated Circuits

    Advisor: Prof. Mauro Olivieri

    Courses: Radar Image Processing, Optoelectronics, Microwave Remote Sensing,

    Radiopropagation & Radar Meteorology.


    09/2010 – 12/2014

    Bachelor’s degree in Electronic Engineering (B.Sc.)

    Final mark: 95/110

    Sapienza – University of Rome, Via Eudossiana 18, 00148 Rome, Italy

    Thesis: “Design of an impedance sensor for respiratory activity monitoring”

    Advisor: Prof. Stefano Pisa


    09/2005 – 06/2010

    High school diploma “Diploma di Liceo Scientifico (PNI)”

    Final mark: 78/100

    Liceo Scientifico “Amedeo Avogadro”, via Cirenaica 7. 00199 Rome, Italy




    Mother tongue


    Other language


    Communication skills

    Excellent ability to work and interact with others acquired in university projects and in sports.

    Excellent relation and communication skills.

    Willingness to learn new technical and professional skills and to work in multicultural environments.

    Attitude to human relationships and mutual respect acquired in sports.

    Good ability to communicate clearly and accurately acquired thanks to the tutor activity for high school students.  

    Computer skills

    Good knowledge:

    Python/Anaconda, MathWorks MATLAB, Microsoft Windows, Suite Microsoft Office (Word, PowerPoint, Excel)

    Basic knowledge:

    C, C++, UNIX/Linux, Geospatial Data Abstraction Library (GDAL), Pandas Library, Keras Library, ESA Sentinel Application Platform (SNAP), Assembly, VHDL, Arduino.

    Organisational / managerial skills

    Good ability to organize and carry out a job in the established time.

    Attitude for responsible, autonomous and independent work acquired during the academic period.

    Job-related skills

    Systematic approach in planning and coping works with tight schedules.

    Academic experience using Spectrum Analyzer and Network Analyzer for testing purposes.

    Other skills

    I have a strong attitude for team sports and works gained thanks to volleyball that I still practice at competitive level.

    Interest in technology and environmental issues developed during free time.

    Driving licence

    European Class B


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