ORGANISATION/COMPANYJülich Research Centre (FZJ)
RESEARCH FIELDComputer scienceEngineeringMathematics
RESEARCHER PROFILEFirst Stage Researcher (R1)Recognised Researcher (R2)Established Researcher (R3)Leading Researcher (R4)
APPLICATION DEADLINE25/08/2019 23:59 - Europe/Brussels
LOCATIONGermany › Jülich
TYPE OF CONTRACTOther
IEK-10 - Modellierung von Energiesystemen
Area of research:
Mathematical models and numerical optimization are essential tools for optimal design and operation of future integrated energy systems. To deal with the intermittent and stochastic nature of renewable energy sources and the uncertainties in projected energy demand, price data etc., we employ stochastic programming (SP), i.e., an optimization formulation taking into account a multitude of different scenarios. The scope of this PhD project is to develop a computational framework for systematic construction of such scenarios by combining machine learning, statistical inference and optimization techniques.Your tasks in detail:
Use machine learning, statistical inference and times series analysis to build models from extensive collections of historical time series data Develop methods for scenario generation, scenario tree reduction, and/or adaptive sampling and implement these into our in-house framework for optimization-based design and operation of energy systems Apply the new methods to challenging design and operation problems
Excellent degree (Master, Diploma) in computational engineering, energy/process systems engineering, computer science, applied mathematics, or a relevant discipline Expert knowledge of at least one programming language (preferably Python and C++) Expertise in numerical optimization and machine learning Excellent skills in spoken and written English: TOEFL or equivalent evidence of English-speaking skills Excellent organizational skills and the ability to work independently Excellent cooperation and communication skills and ability to work as part of a team A high level of scholarship as indicated, for example, by bachelor and master study transcripts and two reference letters
3 year position Pay in line with 100 % of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) Unique HDS-LEE graduate school program A highly motivated group as well as an international and interdisciplinary working environment at one of Europe’s largest research establishments Outstanding scientific and technical infrastructure – ideal conditions for successfully completing a doctoral degree Chance of participating in (international) conferences Continuous scientific mentoring by your scientific advisor Doctoral degree conferred by RWTH Aachen University Further development of your personal strengths, e.g. via a comprehensive further training Programme
Further information on HDS-LEE is available at: www.hds-lee.de Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women.We also welcome applications from disabled persons.
EURAXESS offer ID: 418330
Posting organisation offer ID: 692917
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