荷兰乌得勒支大学2023年招聘博士后（海洋塑料污染及其来源的数值模拟）

乌特勒支大学（英语：Utrecht University；荷兰语：Universiteit Utrecht），世界顶尖公立研究型大学，是欧洲最古老的大学之一，是荷兰最好的三所“U类大学”之一，被U.S. News和软科多次评为荷兰第一。校训为"Sol Iustitiae Illustra Nos" ，意为 “阳之正义，泽于万众” 。乌特勒支大学建立于1636年3月26日，已拥有380年的历史。该校位于荷兰第四大城市乌得勒支，以其悠久的传统而闻名于世。迄今为止，乌特勒支大学共培养出12位诺贝尔奖得主以及15位斯宾诺莎奖得主。乌特勒支大学拥有超过3万学生，以及6700多名讲师教授。

Postdoc In Numerical Modelling Of Marine Plastic Pollution And Its Sources (1.0 Fte)

Utrecht University

Postdoc in Numerical Modelling of Marine Plastic Pollution and its Sources

(1.0 FTE)

Job description

The ocean's biodiversity supports the livelihoods of over three billion people, providing vital services, including food and nutrient cycling. The new NECCTON project involves 20 partners from across Europe and will enable the European Copernicus Marine Service (CMEMS) to deliver novel products that inform marine biodiversity conservation and food resources management. This is achieved by fusing new data into innovative ecosystem models that integrate biological and abiotic components, habitats, and stressors of marine ecosystems.

developing numerical simulations of plastic pollution transport and distribution based on the oceanparcels.org framework;

analysing and validating these simulations in the Northwest European Shelf and Arctic regions;

interacting with partner organisations who will develop code for other pollutants such as oil, trace metals, and persistent organic pollutants;

supporting the integration of the pollutants code into the CMEMS platform;

collaborating with stakeholders to map the sources of pollutants transported towards Mediterranean aquaculture farm areas;

working within a large, interdisciplinary project spanning many European partners.

At the end of the project, you will have:

expertise in the simulation and visualisation of plastic transport by ocean currents;

a deep understanding of the processes to implement state-of-the-art research codes into a widely-used online data platform;

developed skills to manage deliverables within European consortia;

had the opportunity to set your own research questions and goals;

further advanced your skills in numerical modelling and data analysis in python;

enhanced your skills to communicate your scientific results to a wide audience including peers, media, and the general public.

Qualifications

Our ideal candidate has a driven and collaborative spirit and has multiple of the following:

a PhD in physics, computer science, applied mathematics, computational biology, or similar field;

strong skills in python programming;

motivation to cooperate within a dynamic, multidisciplinary and international research team;

an excellent level of written and spoken English;

preferably you also have a proven affinity with physical oceanography and experience with software development practices such as version control and unit-testing. In addition, you bring along strong skills in advanced data science.

Offer

A position for 2.5 years;

a full-time gross salary ranging from