About this job

Planetek Italia operates in many fields of application ranging from environmental and land monitoring to open-government and smart cities, including defense and security as well as scientific missions and planetary exploration.

We provide solutions and products for Earth observation with satellite, aircraft and drone data. We develop on-board software for satellites and data processing solutions for ground segment infrastructures. Our involvement in research and development activities supports human exploration of the solar system. We develop Spatial Data Infrastructure (SDI) in compliance with INSPIRE as well as solutions for Smart City and complex systems to support decisions that exploit geographic information, and Earth observation data, according to the new paradigms of Cloud and Software As a Service.

Planetek develops and integrates hardware and software infrastructures for the acquisition, processing and distribution of remote sensing data along their entire chain of production: from Earth Observation to Deep Space; from the Space Segment to the Ground Segment and the User Segment. Our main responsibilities fall into Systems and Software Engineering with strong verticalization towards Space Mission Analysis and Design (SMAD).

Responsibilities

You will be responsible of the analysis of scientific data and of satellites’ payload data in general and you will contribute to the design of processing algorithms from raw to analysis ready data till to added value products and services. You will deal with a wide range of data sources (solar wind, to ionosphere, optical, hyper-spectral, micro-waves, and so forth).

Profile

You have a Master’s degree or equivalent qualification in Electronic Engineering, Space Systems Engineering, Computer Science, Mathematics, Physics or another relevant discipline and you have at least 5 years of professional experience, mostly on data analysis. Specifically, you have skills in the following fields:

• Space missions analysis and development
• Digital signal processing
• Algorithms design and validation
• Knowledge of Earth Observation and/or Cosmic Exploration domain
• Data (VNIR-SWIR/ TIR/ SAR…) calibration and processing
• Data fusion
• High level “scientific” prototyping environments matlab/ python (or IDL)
• Knowledge of Machine Learning techniques and frameworks (TensorFlow, Caffe…)
• Proficiency in English

Also appreciated:

• Knowledge of ground support equipment and check-out systems
• Programming languages: C/C++ and/or others
• Software engineering and object-oriented programming
• Space systems and Space Systems engineering
• Configuration management systems
• Agile development practices

The ideal profile of the successful candidate is completed by seriousness and reliability, excellent analytical and problem-solving skills, excellent organizational skills, strong ability to work within a team in order to meet specific objectives qualitatively and quantitatively defined, excellent relational and communicative skills, proactivity.