Leonardo is continuing to establish the Leonardo Labs, an international network of corporate laboratories dedicated to advanced research and technological innovation. The Leonardo Labs need outstanding, enthusiastic young researchers with a degree and/or a PhD in STEM disciplines, together with expertise in the following areas:
In this area, Leonardo needs people with research or work experience in all or some of the following topics:
- Knowledge of Neural Networks, Machine Learning, Deep learning
- Knowledge of major frameworks (e.g. TensorFlow, PyTorch, Café, Keras, scikit-learn, mlr, caret, CNTK, MLlib etc.)
- Knowledge representation and symbolic reasoning
- Data mining, predictive modelling, statistical modelling
- Large scale data acquisition, transformation, and cleaning (both structured and unstructured data)
In this area, Leonardo needs people with research or work experience in all or some of the following topics:
- Strong experience in the design and development of data processing pipelines for Batch and Streaming data services
- Experience with tools: in the distributed computing, cloud platforms and Big Data domains (e.g. GCP, AWS, MS Azure, Hadoop, Spark); in data mining, predictive modelling, machine learning, statistical modelling, large scale data acquisition, transformation, and cleaning, both structured and unstructured data
- Advanced proficiency with cloud and container technologies (one or more): Kubernetes, OpenStack, Singularity, Docker
- Advanced programming skills: Python, C++/C, Spark, Hadoop, Hive, Cassandra, MongoDB, Hibari, Redis
- Proficiency with SQL DB (one or more): MySQL, MariaDB, SQLite, PostgreSQL
- Software engineering: Familiarity with GIT tool, AGILE methodology and Continuous Integration
- Familiarity with I/O architectures: POSIX file systems, data encryption technologies, data protection technologies
- Proficiency with data analytic and machine learning tools (one or more): Rapidminer, Pentaho, OpenRefine, Pandas; Linux Operating Systems and Workload Managers
In this area, Leonardo needs people with research or work experience in all or some of the following topics:
- Expertise in the field of Robotic manipulation and interaction control: the ideal candidates must have a strong background in robotics and/or human-robot interaction
- Expertise in the field of Legged locomotion, with an interdisciplinary background in whole-body control: the ideal candidates must have a strong background in locomotion and/or whole-body control of legged robots
- Expertise in the field of Robot design and mechatronics development: the ideal candidates must have a strong background in designing customized mechanisms, actuation and sensory systems relevant to robotics
- Expertise in the field of Machine learning (e.g., reinforcement learning), with an interdisciplinary background in robotics. The ideal candidate must a strong background in machine learning for robotics, to apply learning methodologies to robot perception, and manipulation control
- Expertise in the field of Navigation control for mobile robots: the ideal candidate must have a strong background in robotics, to exploit RGBD cameras, LIDARs, IMUs and additional sensors to carry out 3D mapping and autonomous navigation tasks
- Expertise in the field of Robotic perception: the ideal candidate must have a strong background in computer and/or robotic vision for scene perception, environment mapping, and/or human detection and tracking
- Expertise in the field of Multi Agent Mission Planning for a heterogeneous Team of manned and unmanned agents
- Expertise in the field of Swarming of UxV: the ideal candidate must have a solid background in the collaboration of unmanned platforms in term of algorithms and methods to reach a swarming capability
In this area, Leonardo needs people with research or work background experience in one or more of the following topics or other similar ones:
- Analysis, design, integration, validation of Quantum based Sensing technologies, modules and systems such as:
- Quantum Sensing devices and systems for PNT (Positioning, Navigation and Timing)
- Cold atoms and/or advanced ion/atom trapping techniques
- Quantum Imaging systems (e.g. Time-Correlated Single-Photon Counting, Ghost imaging, etc.)
- Quantum RF/DC, electric or magnetic sensing systems
- Analysis, design, integration, validation of Quantum based Communication technologies, modules and systems such as:
- Quantum Random Number Generators,
- Other advanced Quantum Communication devices and innovative concepts
- Quantum Networks or Quantum Internet concepts
- Quantum Repeaters, Quantum Memories, or other novel technologies promising for Networking, Distributed Quantum Computing and Distributed Quantum Sensing
- Quantum Vulnerability Analysis and Side Channel Attacks identification for Security Analysis of Quantum Communication systems
- Quantum Computing solutions and platforms
- Quantum Resistant Algorithms
The candidates shall have the following competences:
- Expertise in Radio Communications Systems (e.g. Waveforms, Sensors, Radio, Radar, etc..) with an interdisciplinary background in Radio and Radar telecommunication systems (Theory and Techniques) .
- Expertise in Digital Signal Processing algorithms and architectures, adaptive signal processing, phased array systems and technology, detection and estimation theory, bayesian filtering
- Expertise in Software Defined Radio technology,
- Expertise in Data fusion techniques, scientific simulations using ad-hoc software packages (e.g. Matlab®, Phyton. , C/C++)
The candidate shall also have knowledge and experience in Artificial Intelligence based topics, such as:
- Expertise in the field of Machine Learning (e.g.,Supervised and Unsupervised Learning) and Data Science (e.g. Linear Algebra, Multivariate calculus , probability theory and statistics etc..)
- Use of open source library for Machine Learning and Scientific Computing (e.g. Tensorflow, Keras, Scikit-learn, NumPy, Matplotlib)
- Knowledge and experience in parallel applications throughout the adoption of inter-process communication (MPI), multi-threading (Open MPI) and GPU computing (OpenCL and CUDA).
Contracts duration is up to 5 years, renewable, with European standard salary.
Leonardo has a gender policy in place: woman scientists are strongly encouraged to apply. We encourage candidates from around the world to apply.
Candidates should submit the application form and the updated CV to the following email address: LeonardoLabs@Leonardocompany.com
For further info, contact us at LeonardoLabs@Leonardocompany.com