Leonardo continues to implement the Leonardo Labs initiative, an international network of Corporate R&D Laboratories dedicated to advanced research and technology innovation. We plan to open our Laboratories in the area of Milan, Turin, Genoa, Rome, Naples and Taranto and to recruit researchers (Leonardo Research Fellows).
We search for enthusiastic and bright young researchers having STEM degree and/or PhD, with skills in the following research areas:
In this area we are looking for profiles 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 we are looking for profiles 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 we are looking for profiles 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
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