Titolo in italiano: Selezione dell'informazione sulla base degli obiettivi di controllo
Automatic Control, sensor fusion, optimization
A highly motivated and talented individual is sought to join the team as a research collaborator. The successful candidate should have a solid background in control. Knowledge about numerical optimization or machine learning, with a strong experience in computational methods and algorithm development is appreciated. The candidate must have a proven track record of research excellence, demonstrated by publications in top-tier journals and/or conferences.
Candidates having a doctoral degree will be preferred. They should have very good programming skills in relevant scientific computing languages (e.g., Python, Julia), and the ability to work both independently and as part of a team.
The researcher will carry out research activities in the field of control, with the aim to develop a novel framework allowing systems distributed over wireless communication networks (e.g., 5G or 6G) to optimally select only the relevant information sources for the given control task.
- Master's degree or equivalent in mathematics, artificial intelligence, engineering, or related fields;
- enrollment in a doctoral program;
- excellent English both written and spoken.
€ 29.185,24 per year
1 year
IINF-04/A Systems and Control Engineering
PRIN 2022 dal titolo “Too much Information! Control-Oriented Dynamic Information Selection” codice MUR 2022NLTTBN, CUP: D53C24003690006, Codice UGOV P0363
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Application
Apply ONLINE only.
Before starting prepare the application attachments and information as listed below.
Info
- Personal info and contact info (compulsory)
- Number of your Identity Document (Passport or Identity Card) (compulsory)
- University degree and ongoing PhD (compulsory)
Attachments
- Your CV in English (compulsory)