Pre-evaluation open for non-funded intership and visiting researcher positions

Overall description

The RAISE Lab offers non-funded internships and visiting researcher positions to university students, Ph.D. candidates, and post-docs. As such, it represents an ideal venue for highly motivated individuals with independent mobility funding who wish to collaborate on research topics of mutual interest.

If interested, please take contact (button below) as soon as possible. We will be glad to help you out wih administration and procedural issues.

Research areas

Computer science, simulation-based automated synthesis and verification of cyber-physical systems and human physiology models, bioinformatics, hybrid model-based Artificial intelligence & machine learning.

Faculty in charge

Prof. Toni Mancini and Prof. Enrico Tronci
Research Lab in Artificial Intelligence for Systems Engineering (RAISE lab)
Department of Computer Science
Sapienza University of Rome, Italy

Duration and start date

Depending on the candidate needs.

Application deadline

Continuous selection process. We invite prospective candidates to take contacts with the RAISE Lab as soon as possible to start pre-assessment (contact link below).

Research activity description

Interns and academic visitors will carry out research activity within the RAISE lab at the Department of Computer science of Sapienza University of Rome, Italy with the supervision or collaboration of Prof. Toni Mancini and Prof. Enrico Tronci.

The envisioned research is aimed at developing novel general-purpose simulation-based Artificial Intelligence–guided methods and software, and at applying them to the areas of interest of the RAISE Lab.
Please browse the RAISE Lab website for details on current activities and open projects.

Primary hosting institution

RAISE Lab at Department of Computer Science, Sapienza University of Rome, Italy.

Required skills and qualifications

• Command in complex software design and development of large applications in high-level programming languages
• Good knowledge of mathematics, both discrete and continuous
• Good knowledge of algorithms, data structures, operating systems (both theoretical and practical, including Linux proficiency), database design and manipulation
• Knowledge in model-based as well as data-driven artificial intelligence (symbolic AI and machine learning) is a plus
• Fluency in the Italian or the English language, both written and spoken
• Strong interest in interdisciplinary research
• Good communication skills

We are especially looking for technically strong candidates, with expertise in core technical computer science, not just the application of data science or machine learning methods via the use of third-party frameworks.

Send us your application

To send us your application and start your pre-selection process, please click on the button below, create an account (or login via Google) on the RAISE Lab e-learning platform, and visit the pages of the course named “RAISE Lab Ph.D. and interns pre-selection procedure”.