1 Research Project Grant position
(Deadline May 25th, 2021 12:00 )
Fields
Software performance, queueing networks, neural networks, optimization
Profile
The successful candidate possesses demonstrated experience in quantitative modeling techniques for software performance engineering using queuing networks or other analytical methods.
Previous experience with the use of machine learning or numerical optimization for the identification or calibration of software performance models is desirable.
Excellent analytical and coding skills are essential.
Activity
The successful candidate will work on a research project concerned with building software performance models from data using both white-box models such as layered queuing networks and grey-/black-box models based on deep neural networks. The candidate will be involved in all stages of the research including the development of the methodology and validation on real case studies, particularly from the area of distributed systems developed according to the microservice architecture.
SSD
INF/01
Formal requirements
- A Master's degree in Computer Science or related subjects;
- Excellent analytical and coding skills
- An excellent command of the English.
Gross amount
€ 7671,64 year
Duration
6 months, renewable
Project
PRIN
Job Research Unit:
SysMA
Job Contract Type:
Borsa a progetto - Project fellowship
Selection Committee
Final decree
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)
Contacts: