Two PhD positions at CRAN Lab, France

Discussion in 'Apply for PhD' started by Hanimac, Feb 21, 2018.

  1. Hanimac

    Hanimac nothing

    CRAN Lab - Nancy research center for automatic control (CNRS, CRAN, UMR 7039, France) đang cần tuyển 2 NCS:

    PhD position 1: Test plan optimization method for reliability assessment of optoelectronic components
    Increasing progress in features integration (by hybridization, direct bonding, TSV…) leads to more and more complex electronic devices. This complexity has consequences on components reliability studies, through the number of tests and the sample size needed to evaluate the device lifetime. Moreover, in this configuration, a new problematic appears: the existing interactions between the aging of the different elements of the components.This point is particularly true for photonics, whether we talk about photonic on silicon, telecom, detection or display matrix… due to association, in the same device, with active (LED dies, LASER diodes, photodiodes…) and passive components (lens, waveguides, phosphor layers…). For such a complexity, test plans to determine lifetime or a detailed degradation mechanisms map is becoming too time-consuming and too expensive for industrial applications.A theoretical study of the possible interactions between the different components (active and passive) of a photonic device, and the determination of the characteristic measurement leading to their highlighting will be the first purpose of this thesis. In a second time, by the meaning of system reliability and safety methodologies and his previous study, the candidate will have to design an optimized reliability test plan, with original experimental methodologies to be developed to build lifetime and degradation models. Lastly, the established models will have to be validated before being used in the proposed test plan, which results will have to be compared to classical test plan ones.

    Net salary: about 1600 Euros/month for 3 years
    Candidate profile: Master of Sciences in microelectronics/ optoelectronics or reliability engineering
    Contact (before 30/05/2018)
    Phuc Do (Co-suppervisor):

    PhD position 2: Predictive maintenance grouping for manufacturing systems with dependences
    In manufacturing system, maintenance plays a key role to sustain the system within its nominal operation space. Indeed maintenance optimization aims to control optimally, and at lowest possible maintenance costs, Key Performance Indicator (KPIs) of the system both related to conventional performances (e.g productivity), and emerging ones (e.g. sustainability). With the dissemination of condition monitoring techniques and maintenance information management systems, the implementation of predictive maintenance (PM) policies which lead to avoid failure occurrence is growing among organizations seeking to improve their maintenance performance under budget and resources constraints and to gain a competitive advantage. However, in the context of multi-component system (MCS), an optimal maintenance policy must take into account interactions (e.g., stochastic, functional and economic dependences) between the various components of the system. PM can be expensive to implement and returns on investment has to be studied (cost-benefits analysis) to determine whether (and under which conditions) PM can be an appropriate choice and whether it can replace with profit a more classical time-based maintenance policies. Therefore, it is desirable to develop a model to assess the performance of the condition-based maintenance policy and to weigh its costs (in particular the additional monitoring costs) against its benefits.
    The aim of this thesis is to propose adequate predictive grouping maintenance models for multi-dependent component based manufacturing systems. This PhD program is structured in three major phases: (1) development of novel deterioration models at component level taking into account different influence factors. Based on the proposed deterioration models, the remaining useful life (RUL) of the system can be predicted from historical available data and given future missions to be served; (2) proposition of decision making rules for dynamic grouping maintenance and adaptive inspection policy. The proposed decision making rules allow, from developed algorithms, providing optimal maintenance planning taking into account both the requirements associated with the main system (productivity, availability, energy efficiency, ...) and those related to its support system (spare parts, maintenance skill, etc); (3) implementation/development of optimization algorithms to determine the optimal preventive maintenance actions and planning.

    Net salary: about 1300 Euros/month (+ 300 Euros/month for teaching assistant tasks) for 3 years from 2018 September
    Candidate profile: Master of Sciences in reliability engineering, automatic control
    Contact (before 30/03/2018)
    Phuc Do (Co-suppervisor):
    dungnvhust and kythanbka like this.

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