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  Research Assistant (Early-Stage Researcher) at AGH University of Science and Technology, Krakow, Poland, in industrial applications of Bayesian reasoning analysis – PRONTO EID


   Department of Automation and Robotics

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  Dr Jerzy Baranowski  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

This position (ESR-A) is offered by the PRONTO EID-ITN (European Industrial Doctorate - Initial Training Network). The successful candidate will join AGH University of Science and Technology, Krakow, Poland. The tasks of the post will be Bayesian reasoning analysis of fault occurrences using hybrid data in industrial applications.

Description

The objective of PRONTO (PROcess NeTwork Optimization) is efficient and sustainable operation of Europe’s process industries taking machinery condition and process performance into account.

EID is a funding scheme in the Marie Skłodowska-Curie Actions under Horizon 2020. In EID, each Early Stage Researcher is enrolled in a doctoral (PhD) programme and spends at least 50% of his or her time in the non-academic sector. There is joint supervision of the researchers by supervisors in the academic and non-academic sectors.

The PRONTO EID has eleven partners from industry and academia across Europe. The research program for this post will be carried out at the Department of Automatics and Biomedical Engineering (around twelve months), in AGH University. The person appointed will be sent to the ABB Corporate Research Center, also in Krakow, for fifteen months to carry out significant parts of the research. There will also be a shorter visit of three months to ABB Corporate Research Center in Germany for further development of the methods.

The activity of the post will be developing Bayesian algorithms based on data analytics to detect patterns emerging in event logs and the time series of measurements from process, mechanical and electrical subsystems before the occurrence of faults, disturbances and episodes of abnormal behaviour. This will enable the creation of a historical data base for real-time operator support.

Benefits
This program offers a two and a half year full-time position as researcher with a salary and allowances according to EU regulations for Marie Skłodowska-Curie ITN Early Stage Researchers. ESRs in an EID-ITN also undertake a comprehensive personalised development programme with targeted training measures and participate in a range of network events with the consortium partners.

How to apply
For details of how to apply for the position, please contact Jerzy Baranowski ([Email Address Removed] ) who will advise you where to send your application (Curriculum Vitae and Cover Letter in English) via the http://pronto.agh.edu.pl website AGH reserve the right to reply only to the selected candidates. We kindly ask you to include in the Curriculum Vitae the following passage: “I hereby agree for my personal data, included in my job application, to be processed in line with the needs of recruitment, in accordance with the Law on Personal Data Protection of 29 August 1997 (Law Gazette from 2002, No.101, heading 926, as amended).

Requirements
To be eligible, any candidate must be an Early Stage Researcher. They must not have a PhD and must have fewer than 4 years’ research experience. At the time of the selection, applicants must not have resided or carried out their main activity (work or studies) in Poland for more than 12 months in the 3 years immediately prior to the starting date. These eligibility requirements for Marie Skłodowska-Curie ESRs are non-negotiable and ineligible candidates will not be considered.
The Candidate will require:
• an internationally recognized degree at masters level (or equivalent) in Electrical, Mechanical or Control Engineering (or closely related field), Applied Mathematics or Physics;
• Applicants who do not master Polish language must provide evidence of good English language skills, written and spoken. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE).
• Analytical skills to solve problems systematically;
• Willingness to learn new things;
• Knowledge and experience in areas such as electrical and control engineering, statistics, probability theory and signal processing is an advantage;
• Data analytics skills are also an advantage;
• Willingness and readiness to travel over and outside Europe four courses and project meetings;
• Previously published research (especially in journals) is also an advantage;
• Knowledge of MATLAB is required;
• Good programming skills in languages like R or Python is beneficial.

 About the Project