PhD Student Position funded from the Spanish Scientific program FPI-MICINN 2012
Within the frame of the "Subprograma de Proyectos de Investigación Fundamental no Orientada. Convocatoria 2011", of the Spanish Ministry of Sustainability and Innovation, a 4 year Ph.D. student position assigned to the multidisciplinary project “Multi-scale inference, monitoring, optimization and control: from engineered cells to bioreactors (MultiScaleS) (DPI2011-28112-C04-02)” is offered.
Within the systems and synthetic bioprocesses context, MultiScaleS is devoted to provide systematic methods, tools and protocols for inference, real-time monitoring, optimization and feedback control of bio-systems by means of multi-scale strategies, spanning from micro (e.g. metabolic and genetic networks) to macro scales (e.g. population macroscopic dynamics as used in the context of bioreactors monitoring and control). MultiScaleS expected results will be instrumental to achieve end products inside specifications and optimal productivity while operating at intensified regimes. It is expected these results can also be applied within other industrial contexts characterized by muti-scale dynamics and coordination of dynamical agents.
MultiScaleS will focused on:
PhD Thesis Project
This PhD project deals with research into advanced multivariate methods for the analysis and monitoring of biochemical processes, with special focus on real-time technologies, dynamics, diagnostics and interpretation. Specific fields of interest include:
The candidate is expected to interact in a multidisciplinary team, comprising the GIEM group (multivariate statistical engineering) and GCSC (research group in Complex Systems Control) at the Universidad Politécnica de Valencia. The candidate will be anchored at the GIEM group (Valencia, Spain) with Alberto Ferrer as supervisor. During the PhD it is contemplated the candidate to do research stays with other research groups abroad.
The candidate is expected to use advanced multivariate statistical methods to develop methods and algorithms for the project. The ideal candidate should have a degree in engineering, statistics, chemistry, computer science, mathematics, physics or equivalent discipline with good academic grades, and have some proficiency in programming languages (e.g. Matlab).
Please send the letter in English language, including a personal motivation, your academic grades and curriculum vitae, to Alberto Ferrer (aferrer @ eio.upv.es).
Please, note that candidates must apply through the Spanish Ministry of Sustainability and Innovation website.
Calls for applications will be opened shortly.
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