18/06/2019

PhD position in reinforcement learning for optimal fault mitigation and recovery actions in the operation of complex industrial assets

This job offer has expired


  • ORGANISATION/COMPANY
    ETH Zurich
  • RESEARCH FIELD
    Computer scienceOther
    Computer scienceProgramming
    EngineeringOther
    MathematicsApplied mathematics
    MathematicsComputational mathematics
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    18/07/2019 10:58 - Europe/Brussels
  • LOCATION
    Switzerland › Zurich
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    38

PhD position in reinforcement learning for optimal fault mitigation and recovery actions in the operation of complex industrial assets
Predicting the remaining useful life of a system or a component enables taking preemptive mitigating actions, thereby reducing the downtime and improving the system reliability and availability. Yet, there is a set of different actions that can be taken if the remaining useful life of a system is known, including maintenance actions aiming to prolong the remaining useful life or preemptive replacements of the component. However, a preemptive replacement at the end of the remaining useful life may not be the optimal action in terms of system performance. A more efficient use of the knowledge on the fault evolution in time is to use this information for proactive control of the remaining useful life and the system performance. The project aims at developing reinforcement-learning approaches for optimal fault mitigation and system health management. A collaboration with the Prognostics Center of Excellence (PCoE) at NASA Ames Research Center is foreseen for this project.
We are looking for a highly motivated candidate holding a Master's Degree in engineering, physics, applied mathematics, control, computer science or related fields with experience in predictive maintenance, machine and deep learning and particularly in reinforcement learning. The successful candidate has strong analytical skills, is proactive, self-driven with strong problem solving abilities and out-of-the-box thinking. Moreover, programming experience, preferably in Python, is expected. Professional command of English (both written and spoken) is mandatory and knowledge in German is beneficial. You enjoy working in an interactive international environment with other doctoral students and post-docs, referring continuously to practical problems and solutions and collaborating with industrial project partners.
Review of applications will continue until the position is filled, with the position to start as soon as possible and the planned project duration being three years.
We look forward to receiving your online application including a letter of motivation, CV, a brief statement of research interests (1 page), transcripts of all obtained degrees (in English), one publication (e.g. thesis or conference/journal publication: the one that you consider being most relevant to the position that you are applying for), and contact details of two referees. Only complete applications containing all the required documents will be considered. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For more information about the chair, please visit: ims.ibi.ethz.ch. Questions regarding the position should be directed to Prof. Dr. Olga Fink by email ofink@ethz.ch (no applications).

Web site for additional job details

Required Research Experiences

  • RESEARCH FIELD
    Computer science
  • YEARS OF RESEARCH EXPERIENCE
    None
  • RESEARCH FIELD
    Computer science
  • YEARS OF RESEARCH EXPERIENCE
    None
  • RESEARCH FIELD
    Engineering
  • YEARS OF RESEARCH EXPERIENCE
    None
  • RESEARCH FIELD
    Mathematics
  • YEARS OF RESEARCH EXPERIENCE
    None
  • RESEARCH FIELD
    Mathematics
  • YEARS OF RESEARCH EXPERIENCE
    None
Work location(s)
1 position(s) available at
ETH Zurich
Switzerland
Zurich
8006
Rämistrasse 101

EURAXESS offer ID: 418704
Posting organisation offer ID: 130606

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