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PhD position: Integrating trait diversity into ecosystem models

Koninklijke Nederlandse Akademie van Wetenschappen -
Wageningen

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Vacaturegegevens

Fulltime
€ 3.204 - € 4.051 per maand
12 dagen geleden

Secundaire arbeidsvoorwaarden

Reiskostenvergoeding

Kwalificaties

MATLAB
Doctor
R
Engels
Milieuwetenschappen
Master
Python

Volledige vacaturetekst

What you will be doing

We are recruiting a talented, enthusiastic, and collaborative PhD candidate to investigate how phytoplankton trait diversity affects ecosystem processes. Specifically, the PhD candidate will integrate diversity of phytoplankton resource acquisition traits into the mechanistic ecosystem model PCLake and assess consequences for ecosystem structure and functioning.

General project description

This PhD position is part of the SNF-Lead Agency funded BILMo (Biodiversity Inspired Lake Modelling) project, which aims to upgrade different mechanistic lake models to 1) predict diversity and community composition responses to combined gradients of warming and changes in resource availability (light, nitrogen and phosphorus), and 2) improve predictions of ecosystem processes by including the impacts of phytoplankton diversity and composition.

The project focuses on five interlinked objectives related to the above-mentioned aims. The research spans field observations, laboratory experiments and mechanistic models. The project team consists of two PhD candidates and three Postdoc positions hired on the BILMo project and involved researchers including Dr. Anita Narwani (EAWAG; coordinator), Dr. Keisuke Inomura (University of Rhode Island), Prof. Damien Bouffard (EAWAG), Prof. Dedmer van de Waal (NIOO-KNAW) and Dr. Mandy Velthuis (Wageningen University).

What you will be contributing

As a PhD candidate you will contribute to improving our understanding of the interplay between phytoplankton traits and lake ecosystem functioning. Specifically, you will determine to what extent (phyto)plankton inter- and intraspecific trait diversity affects the biomass, productivity and functional diversity of plankton communities in lake ecosystems, and what the implications of environmental change are on those processes. You will run sensitivity analysis in PCLake+, using both traditional and emergent community modelling approaches, carry out meta-analyses to determine resource acquisition trait parameter space, and perform scenario analyses tailored to a set of Swiss lakes.

There will be close collaboration with the other PhD candidate and Postdocs of the projects on parameterization and validation of the model. You are expected to actively exchange ideas and results within the larger BILMo team, join the project’s annual meetings, supervise MSc students who wish to do an internship on modelling phytoplankton trait diversity, and contribute to some of the project’s outreach activities.

Your work will be performed both at the NIOO-KNAW and at Wageningen University under the guidance of your daily supervisors Dedmer van de Waal and Mandy Velthuis. You will develop a PhD thesis plan, prepare and perform the research, analyze the data, present your results at meetings and scientific conferences, and publish your results in international scientific journals. You aim to complete your PhD thesis within the official appointment duration of four years.

Further training and courses during the PhD trajectory will be offered by NIOO-KNAW, WUR, and via the Graduate School for Production Ecology & Resource Conservation (PE&RC).

Job requirements

We are looking for an enthusiastic and motivated candidate, with a keen interest in plankton trait-based ecology and ecosystem modelling. You enjoy process-based ecosystem modelling, are well-organized, have a collaborative personality but are also able to work independently. You are furthermore in possession of:

An MSc degree in environmental sciences, computational ecology, quantitative biology, or closely related discipline
Affinity and preferably experience with ecosystem modelling, ecological forecasting, phytoplankton ecophysiology and/or trait-based ecology. Please note that we do not expect that candidates master all techniques from the start but consider previous experience with one or more of the listed techniques as an advantage.
You are comfortable working with large datasets, modelling pipelines and are eager to develop advanced skills with programming software such as R, Python or Matlab.
Professional working proficiency in English, including scientific writing.

For more information

If you wish further information about the project, please contact Dedmer van de Waal ([email protected]) or Mandy Velthuis ([email protected]).

Application procedure

Applications must be submitted in English electronically through the KNAW portal. In your application, please include a cover letter indicating your motivation and relevant experience, a CV, and 1-3 professional referees (name, address, telephone number and email address).

About NIOO
The Netherlands Institute of Ecology (NIOO) is a national research institute of the Royal Netherlands Academy of Arts and Sciences (KNAW). At NIOO we perform ecological research on biodiversity, climate change and sustainable use of land and water. We stimulate ecological research in the Netherlands and share our ecological knowledge with society. Everyone in our organisation is passionate about contributing to a sustainable world from their own area of expertise.

Terms of employment
Depending on education and experience the minimum salary is € 3.204 and the maximum salary is € 4.051 gross per month for a full-time appointment (scale P cao Nederlandse Universiteiten/KNAW). This is exclusive of 8% vacation allowance, 8.3% year-end bonus, travel allowance, internet allowance, home working allowance and pension accrual with ABP.

The KNAW offers its staff an excellent package of secondary benefits. A package that meets the different needs of employees depending on their stage of life, lifestyle or career ambitions. For example, by working an extra two hours a week, it is possible to increase the number of days off from 29 to 41 days a year (with full-time employment).

For a complete overview of the terms of employment, please refer to the web page: werken bij de KNAW.

Applying for a Certificate of Good Conduct can be part of the employment procedure.

Diversity & Inclusion
The KNAW considers a working environment in which everyone feels welcome and appreciated of great importance. A working environment in which attention is paid to individual quality and where development opportunities are paramount. Together we strive for an inclusive culture in which we embrace differences. We would therefore like to invite candidates who want to contribute to this through their background and experience. In the event of equal suitability, preference will be given to the candidate who thus enhances diversity within the Academy.

We will not respond to any supplier enquiries based on this job advertisement.

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python vacatures in beneden leeuwen, ge

PhD position: Integrating trait diversity into ecosystem models

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