id: MzIyMjE1IDE3

reference: 322215

documentId: 322215

connectionPointId: 17

Titolo di lavoro:
ASSEGNISTA DI RICERCA NELLE SCIENZE DELL'INFORMAZIONE

Descrizione del lavoro:
The ES Unit has an opening for a PostDoc position in the field of predictive maintenance for industrial applications in the framework of several research and technology transfer projects. The successful candidate will be employed for a period of at least two years (with a trial period of 6 months). He/She will carry out research activities in the field of predictive maintenance applied to the analysis of complex critical designs. The candidate is expected to perform activities related to the following research topics: Development of techniques and tools for combining data driven and model based reasoning to learn models and/or to improve the quality of the models at the basis of the model based approach to run-time monitoring and predictive maintenance; Development of novel techniques for combining model based reasoning with machine learning to reduce the learning phase, and to improve the quality of the answer generated by the machine learning algorithms, with applications in predictive maintenance, reliability, availability, maintainability, safety and security of data; Development of a scalable and generic infrastructure for model based predictive maintenance that will allow for different form of analysis to combine sensor data to infer proper abstract states to drive then machine learning algorithms and/or statistical model checking algorithms in predicting the evolution of a system (e.g. future faults, remaining useful lifetime, …); Development of techniques and tools for the automated synthesis of run-time monitor for diagnosis and prognosis, and techniques and tools for model-based synthesis of drivers connecting application to sensors and enriching sensors with meta-data.
The candidate is expected to work in collaboration with other researchers, programmers, and students involved in the project. Moreover, the candidate is expected also to interact with industrial partners and to spend some time at industrial partner premises.
The ideal candidate should have:PhD in computer science, mathematics or electronic engineering (to be completed by third quarter 2019 ); Software development skills (preferably in C, C++, Python or Java); Ability to carry out an independent research program; Ability to work in a collaborative environment and deliver in research and/or industrial projects; Oral and written proficiency in English.
In depth previous experience in at least one of the following areas: Predictive Maintenance; Machine Learning; Symbolic Model Checking; Solid background in logic; Temporal Logics and Property Specification Languages; Satisfiability Modulo Theory; Formal Specification and Analysis of Architectures.
Type of contract: Fixed Term Contract (research profile R3 CCPL) - full time 
Gross annual salary: about 39.300 € Start date: April 2019
Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities, accommodation, social security, etc., reductions on bank account opening fees, public transportation, sport, language course fees.
Candidates must submit their application trough the online form at https://hr.fbk.eu/en/jobs. Please make sure to enclose the following documents with your application (pdf format):Detailed CV; Cover Letter (explaining your motivation for this specific position); 3 professional references (e-mails and/or phone numbers)
Application deadline: 15th April 2019. For further administrative information, please contact the Human Resources Services at jobs (at) fbk.eu

numberOfPosts: 1

jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2310

positionTypeCode: temporary

contractTypeCodes_0: fulltime

Nome del datore di lavoro: FONDAZIONE BRUNO KESSLER

employer_website: jobs (at) fbk.eu

source: Anpal