23 Postdoctoral Fellowship at Lund University, Scania, Sweden23

Postdoctoral Fellowship at Lund University

February 22, 2022

Postdoctoral Fellowship at Lund University Scania Sweden

Lund University, Scania, Sweden invites online Application for various Postdoctoral Fellowship in their different Departments. We are providing a list of Postdoc Fellowship positions available at Lund University, Scania, Sweden.

Eligible candidate may Apply as soon as possible.

hhttps://www.vacancyedu.com/23-postdoctoral-fellowship-at-lund-university-scania-sweden/

(01) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoctoral Fellow in Exoplanets and Planet Formation

The fellow will work in collaboration with Dr. Jens Hoeijmakers, head of the exoplanet atmospheres group in Lund, as well as Prof. Anders Johansen at Lund University and the University of Copenhagen, head of the planet formation group. Applicants are encouraged to define their own research related to a range of possible topics, including high-resolution spectroscopy of atoms and molecules in exoplanet atmospheres at optical or infrared wavelengths, modelling of atmospheric chemistry and dynamics, and the modelling or observation of protoplanetary disks and protoplanets.

Deadline : 25.Mar.2022 

View details & Apply

(02) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Researcher in hydrological modelling and data assimilation in cold regions

Global warming is accelerating snow-glacier retreat and shifting hydrology in cold regions, which affects sustainable development of downstream residents. There is a need for improved knowledge of snow-glacier dynamics and their impacts on hydrology. Hydrological modelling is an important tool to extend limited in-situ data to help us improve understanding of snow-glacier hydrological processes, and is the only feasible way to predict responses of snow and glaciers to future climate change. However, three main sources of uncertainties (model structure, model forcing data and parameters) restrict the performance of hydrological models. This project will work on reducing uncertainties in hydrological models (particularly our recently developed flexible model, see the references mentioned below) by using satellite remote sensing and advanced data assimilation. This project will focus on several well-gauged catchments in Northern Sweden and China, but other cold regions with good data availability could also be considered.

Deadline :  16.Mar.2022

View details & Apply

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