Connectionists: Call for industrial research assistant "Machine learning for prognostic maintenance"

[Stefano Rovetta]

The University of Genova, Italy announces a public call for applications 
for one 2-year position as research assistant in an academic-industrial 
joint project on "Machine learning for prognostic maintenance".

Eligibility:
- age less than 29 on June 15, 2018 (required by funding body)
- 5-year degree in computer science or engineering (mechanical, 
automation, electronic, computer, communication) or physics or 
mathematics or statistics

Salary:
20000 Euro per year, less taxes and social security (which are limited 
for this kind of contract)

Project direction:
Prof. Stefano Rovetta, University of Genova, Italy

Project partners:
- DIBRIS, department of Computer Science, Bioengineering, Robotics, and 
Systems Engineering, University of Genova, italy
- TAM Software s.r.l., La Spezia, italy
- Polo "Distretto Ligure per le Tecnologie Marine", La Spezia, Italy

Project funding:
Regione Liguria


Description:

Predictive maintenance is acknowledged as one of the "killer 
applications" in the fourth industrial revolution, Industry 4.0. The 
enabling technologies are machine learning and artificial intelligence.

The company TAM Software s.r.l., based in La Spezia, Italy, offers a 
range of application software products for maintenance management, 
planning, tracking, ticketing, and other maintenance-related services.

The activity consists in developing extensions of such software suite, 
based on machine learning, that can provide forecasting abilities to 
anticipate the necessity of future maintainance interventions 
(predictive maintenance), but also to estimate the conditions that are 
going to occur, to allow a much more detailed planning (prognostic 
maintenance). This ability notably increases the efficiency both in 
terms of plant performance (minimizing downtimes) and of its cost 
(minimizing interventions).

In case of a successful 2-year collaboration, the company may hire the 
candidate as permanent staff.

FOR MORE INFORMATION AND INSTRUCTIONS ON HOW TO APPLY:
stefano.rovetta at unige.it