Descrizione dell'offerta
La posizione è aperta all’interno del team di Leonardo.**Job Description:**Leonardo is an international industrial group that creates multi-domain technological capabilities in Aerospace, Defense & Security. With over 60,000 employees worldwide, the company has a significant industrial presence in Italy, the United Kingdom, Poland, and the United States, and operates in 150 countries also through controlled companies, joint ventures, and shareholdings. A protagonist in major international strategic programs, it is a technological and industrial partner to Governments, Defense Administrations, Institutions, and businesses. Innovation, continuous research, digitalization, and sustainability are the pillars of its business worldwide.Within the Strategy & Innovation U.O., we are looking for a resource for the role of Researcher Autonomy, HMI & Training.The candidate will be involved in the Innovation - Disruptive Labs roadmap, with a strategic focus on initiatives related to the **Autonomy, HMI & Training** thread. The candidate will operate within the Strategy & Innovation – Innovation Management & Technology Labs function and will support the activities of the AI.Rcraft Innovation Center (Laboratories of the Aerospace City of Turin)The main objective will be to contribute to the exploration and development of **innovative digital solutions**, adopting an Agile and Rapid Prototyping approach, and aligning the needs of the **business** and **customers** with the opportunities offered by new technologies.**Main responsibilities*** Contribute to the analysis of the **needs expressed by the business and internal Stakeholders**, translating them into concrete project initiatives.* Identify **innovation opportunities**, contributing to the evolution of the company's digital strategy.* **Identify and design** solutions related to the **Autonomy, HMI & Training** thread, using technological solutions based on **AI and deep learning*** Support the growth of **technological maturity** of developed solutions through implementation and validations, both virtual and experimental, including integration into simulation/rig validation technology environments;
* **Define the contribution within European funded projects** in the defense sector* **Continuous monitoring** of the main results in the research world, both industrial and academic, on topics related to their activities, also through **technology scouting****Education:** Master's Degree or PhD in Engineering, Mathematics, Physics, Statistics, Computer Science or other subjects related to Data Engineering & Data Science.**Required experience level (junior, expert, senior, master):** Junior, expert.**Technical skills:*** Consolidated knowledge in **AI and deep learning*** In-depth knowledge of **Machine Learning** and a solid foundation in statistics to analyze and interpret complex data.* Ability to **apply Machine Learning and Deep Learning techniques to real problems**, using modern tools and frameworks.* Telecommunications (TCP/IP, UDP) and network setup.**Behavioral skills:*** **Ability to understand and manage priorities** in dynamic environments.* **Orientation towards innovation** and continuous improvement* **Problem-solving** skills and a **results-oriented approach**.* Excellent **communication and interpersonal skills with stakeholders** at different levels.**Language skills:*** English language proficiency at least B2 level**Computer skills:*** Good command of main **programming languages** (Python, C++)* Excellent command of Artificial Intelligence tools* Experience in **data acquisition and post-processing*** **Machine Learning** algorithms, software and frameworks (e.G. PyTorch, scikit-learn, TensorFlow)* Code versioning software (Git)We look forward to your application: send us your CV within three weeks from the job advertisement opening.How does the selection process work?After collecting applications, CVs that best match the required qualifications are evaluated and identified.Selected candidates have an initial interview with the Human Resources team, focusing on motivation and aptitude, followed by a technical in-depth interview with the Business.At the end of the process, feedback is provided to the person, whether the outcome is positive or negative.**What we offer**Engagement, enhancement of skills, care for people's well-being and safety are the cornerstones of our corporate culture.We are committed every day to fostering an inclusive and stimulating work environment, actively promoting the principles of inclusion, equity, and valuing diversity.What do we offer? - Fixed remuneration commensurate with the experience and level of the selected person, accompanied by bonuses linked to business results;
- Opportunities for continuous training and updating of professional skills and soft skills;
- Work-Life Balance: we promote the right balance between private and professional life starting from hybrid and flexible work formulas;
- Well-being: we put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs.Our national collective labor agreement of reference is the CCNL for the Private Metalworking Industry and Plant Installation. Working with us you will constantly face the challenges of high technology, increase your skills and build a professional career of excellence.**Seniority:** Junior**Primary Location:** IT - Torino - C.So Francia**Contract Type:** Permanent**Hybrid Working:** Ibrido
* **Define the contribution within European funded projects** in the defense sector* **Continuous monitoring** of the main results in the research world, both industrial and academic, on topics related to their activities, also through **technology scouting****Education:** Master's Degree or PhD in Engineering, Mathematics, Physics, Statistics, Computer Science or other subjects related to Data Engineering & Data Science.**Required experience level (junior, expert, senior, master):** Junior, expert.**Technical skills:*** Consolidated knowledge in **AI and deep learning*** In-depth knowledge of **Machine Learning** and a solid foundation in statistics to analyze and interpret complex data.* Ability to **apply Machine Learning and Deep Learning techniques to real problems**, using modern tools and frameworks.* Telecommunications (TCP/IP, UDP) and network setup.**Behavioral skills:*** **Ability to understand and manage priorities** in dynamic environments.* **Orientation towards innovation** and continuous improvement* **Problem-solving** skills and a **results-oriented approach**.* Excellent **communication and interpersonal skills with stakeholders** at different levels.**Language skills:*** English language proficiency at least B2 level**Computer skills:*** Good command of main **programming languages** (Python, C++)* Excellent command of Artificial Intelligence tools* Experience in **data acquisition and post-processing*** **Machine Learning** algorithms, software and frameworks (e.G. PyTorch, scikit-learn, TensorFlow)* Code versioning software (Git)We look forward to your application: send us your CV within three weeks from the job advertisement opening.How does the selection process work?After collecting applications, CVs that best match the required qualifications are evaluated and identified.Selected candidates have an initial interview with the Human Resources team, focusing on motivation and aptitude, followed by a technical in-depth interview with the Business.At the end of the process, feedback is provided to the person, whether the outcome is positive or negative.**What we offer**Engagement, enhancement of skills, care for people's well-being and safety are the cornerstones of our corporate culture.We are committed every day to fostering an inclusive and stimulating work environment, actively promoting the principles of inclusion, equity, and valuing diversity.What do we offer? - Fixed remuneration commensurate with the experience and level of the selected person, accompanied by bonuses linked to business results;
- Opportunities for continuous training and updating of professional skills and soft skills;
- Work-Life Balance: we promote the right balance between private and professional life starting from hybrid and flexible work formulas;
- Well-being: we put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs.Our national collective labor agreement of reference is the CCNL for the Private Metalworking Industry and Plant Installation. Working with us you will constantly face the challenges of high technology, increase your skills and build a professional career of excellence.**Seniority:** Junior**Primary Location:** IT - Torino - C.So Francia**Contract Type:** Permanent**Hybrid Working:** Ibrido
Informazioni aggiuntive
Opportunità: Vel - Researcher Autonomy Hmi & Training a Torino, Italia
Sei alla ricerca di una posizione come Vel - Researcher Autonomy Hmi & Training presso Leonardo a Torino? Di seguito trovi tutti i dettagli di questa offerta di lavoro.
Tipo di contratto rilevato: Tempo indeterminato
Competenze valorizzate
- Python
- Git
- Machine Learning
- Deep Learning
- PyTorch
- Agile
Lavorare a Torino
Torino è un importante polo industriale e tecnologico, con una solida tradizione nel manifatturiero e una crescente scena startup.
Settore: Science