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Selasa, 19 Oktober 2010

[BEASISWA] Postdoctoral Researcher

Research Position in Denmark Technical University


Fellowship Information: The Postdoc/Researcher will contribute to research projects in the areas of analysis and modelling of the variability and the predictability of wind power. This research area has high importance for planning and operation of power systems with large scale wind power production. WES is leading several projects where development of these models are key elements, and with the ambitious plans for onshore and offshore wind power development in Denmark, EU and worldwide, more projects are expected.

These research projects are typically run in partnership or close cooperation with users, which are typically transmission system operators, wind power plant developers and owners, wind energy industry, other research institutes and universities. You will be part of an international team, where the working language is English.

Qualifications
The candidate must have a PhD degree and relevant qualifications within more of the following areas:
* Applied Mathematics
* Statistical modeling in the time domain using time series methods like ARMA
* Statistical modeling in the frequency domain using power spectral densities and coherence functions
* Meso scale modeling of wind speed fields
* Proven programming skills for analytical and modeling purposes, e.g. Matlab and Pascal

Assessment
In the assessment of the candidates, consideration will be given to
* scientific production and research potential
* the ability to promote and utilize research results
* the ability to communicate at all levels in English
* experience from international research environment
* the ability to contribute to development of the internal and external cooperation
* the ability to be self-motivated
* good problem solving skills

Application Deadline: 10 November २०१०

Study Subject: Mathematics
Employer: Denmark Technical University
Level: Postdoctoral

Web Link

http://www.dtu.dk/English/About_DTU/vacancies.aspx?guid=d7337ecd-7144-4bf9-8c68-e9e464d1c3ff


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