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Tuesday, July 22, 2008

PhD student for Temporal Analysis of Coastal Monitoring Data

Vacancy number 08-1038

The University of Amsterdam (UvA) is a university with an internationally acclaimed profile, located at the heart of the Dutch capital. As well as a world centre for business and research, Amsterdam is a hub of cultural and media activities. The University of Amsterdam is a member of the League of European Research Universities.

The Faculty of Science at the UvA is one of Europe's foremost institutions of higher education and research in its chosen fields of specialization. It plays an active role in international science networks and collaborates with universities and industry. The Faculty has approximately 2,000 students and 1,500 staff members spread over four departments and ten research institutes. Each institute has its own research programme, a substantial part of which is externally funded by the Netherlands Organization for Scientific Research (NWO), the Dutch government, the EU and various private enterprises.

The Institute of Biodiversity and Ecosystem Dynamics (IBED) is one of the ten research institutes of the Faculty of Science. IBED covers a wide range of subjects, in both fundamental and applied research. Our scientific studies aim at a better understanding of the dynamics of ecosystems at all relevant levels, from genes to climate change, using a truly multidisciplinary approach.

Within the Sea and Coastal Research program of the Netherlands Organization for Scientific Research (NWO), and in collaboration with the institute DELTARES and the Netherlands Institute of Ecology (NIOO), we have two vacancies for the following project:

"An innovative monitoring strategy for the carrying capacity in the Dutch coastal zone"

Water quality monitoring programs are under pressure, because they are expensive and essentially the methodology and logistics have not been updated since the 1970s. Also the monitoring data often do not fulfill the information needs of policy makers and managers. Therefore, a major renewal of coastal monitoring strategies is desirable. During the past few decades, there have been important technological and scientific developments to advance monitoring efforts. New on-line instruments have been developed for scientific and applied monitoring purposes. Remote sensing combined with GIS analysis has enriched the spatial information available to coastal managers. New molecular techniques have enabled recognition of a wide array of marine microorganisms and their activities. Advances in computation power, statistical techniques and data-model integration have improved the analysis of monitoring data. However, application of these new techniques, insights and methods to optimize water quality monitoring programs of the coastal zone are still in its infancy.

The project aims at three goals:

1- analysis of temporal and spatial trends and fluctuations of nutrients, suspended matter, phytoplankton, and where possible zooplankton and shellfish in existing data sets,

2- design of an advanced, cost-effective monitoring network of the Dutch coastal waters for the next decades,

3- demonstrating the value of enhanced monitoring networks by quantifying its predictive capacity.

The focus in this subproject will be on the temporal component of coastal monitoring. The work will consist of linear and nonlinear time-series analysis of coastal monitoring data, using advanced methods from dynamical systems theory and machine learning. Special attention will be given to the variability and predictability of the species composition in existing time series. The findings will be integrated into the design of an advanced monitoring network.

Requirements

- Master in Biology or Mathematics with specialization in e.g. theoretical ecology, environmental statistics, applied mathematics, or dynamical systems theory,
- Firm theoretical background, excellent modeling skills, and sound knowledge of statistical techniques,
- Experience with field studies and GIS is a plus,
- Ability to work in multidisciplinary research teams.

For additional information, please contact Prof. Dr. J. Huisman, tel. +31-20-5257085, email j.huisman@uva.nl or
Prof. Dr. J. Middelburg, +31-113-577476 email j.middelburg@nioo.knaw.nl or
Prof. Dr. R. Laane, tel +31-15-2858655, email remi.laane@deltares.nl

Appointment
The appointment of the PhD students will be on a temporary basis for a maximum period of four years (18 months plus a further 30 months after a positive evaluation) and should lead to a dissertation (PhD thesis). During the employment period it is possible to work for a period in Delft (DELTARES) and/or Yerseke (NIOO).

An educational plan will be drafted that includes attendance of courses and (international) meetings. PhD students are also expected to assist in teaching undergraduates. The salary is in accordance with the university regulations for academic personnel and will range from € 2,000.- (first year) up to a maximum of € 2,558.- (last year) gross per month (scale P).

The Collective Labour Agreement of Dutch universities is applicable. This provides secondary benefits like 8 % holiday allowance and 6.4 % end-of-year bonus (8.3 % in 2009) of the annual salary.

Job application
Applications should include a detailed CV including a list of peer-reviewed publications, a motivation letter, and the names and contact addresses of two references from which information about the candidate can be obtained. They should be sent by email, mentioning the vacancy number and the position, to: application@science.uva.nl

The closing date for application is September 12th, 2008.

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