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For our Institute for Applied Informatics (IAI), we wish to employ from April 1st, 2018 under an employment contract limited up to 3 years a

computer scientist / mathematician / physicist / engineer (m/f)
h1. – Post Doc -

Job description
In this project you will help to understand the most cost-effective pathways to reduce greenhouse gas emissions in the energy system. You will work on network and energy system models that seek to maintain sufficient model detail and interdependencies, while not losing sight of the broader characteristics that determine efficient investment strategies. You will develop new methods and algorithms to tackle the extreme computational complexity of optimising models that combine the international scope of European energy markets, the local detail of network bottlenecks and the couplings between multiple energy sectors. Your tasks will include research on new algorithms to optimise network expansion, incorporate non-linearities in energy system models and account for uncertainty and imperfect market design. You will publish your results in international journals and conference proceedings, and also partake in the supervision of students. The existing modelling tool Python for Power System Analysis (PyPSA) will be further developed to support the modelling aims of the project. To ensure full transparency, all software, data and publications generated in the project will be made publicly available under open licences. This position is only suitable for part-time work under particular conditions.

Personal qualification

• A doctoral degree in computer science, mathematics, physics, engineering, economics or related numerate disciplines.
• Excellent analytical skills and experience in theoretical and applied modelling.
• Experience of power flow modelling and optimisation.
• Knowledge of energy system engineering and/or economics.
• Programming experience (any language, but the project will mostly be in Python and Julia).
• Commitment to full transparency in research methods, data and publications.

Please apply with a complete application folder (CV, cover letter, certificates) with at least 2 references and a current publication list.

We prefer to balance the number of female and male employees. Therefore we kindly ask female applicants to apply for this job.

If qualified, handicapped applicants will be preferred.

Please apply online for this vacancy number 521/2017. Applications should be sent by January 31, 2018 to: Ms Meinel, phone: +49 721 608-25006, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.

For further information, please contact Dr. Brown, E-Mail: brown@fias.uni-frankfurt.de.

Further details can be found on our website: www.kit.edu.

KIT – The Research University in the Helmholtz Association.

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