Two 3-year PostDoc positions in sea ice remote sensing

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Two 3-year PostDoc positions in sea ice remote sensing

Christian Haas-2

We are looking for two postdoctoral researchers in airborne and satellite remote sensing of sea ice during MOSAiC. The three-year, full-time positions could start as soon as Nov 1 and are in the IceSense project funded by the German research ministry BMBF. You can find descriptions of the two positions below. The positions will shortly be officially announced at https://www.awi.de/en/work-study/jobs/job-offer.html . Please monitor that web site closely if you are interested, and applications can only be submitted through there.

However, if you'd like more information before please contact me directly.

PostDoc on Airborne Laser Scanning (ALS) Observations of Sea Ice
The position encompasses the processing and scientific analysis of a unique ALS data set for the observation of sea ice properties and processes like:
•    The annual cycles of ice freeboard, thickness, roughness, and deformation and their pan-Arctic variability;
•    The redistribution of snow and feedback between melt pond formation and ice surface roughness;
•    and others depending on preferences of the postdoctoral researcher.
The analysis of helicopter and fixed-wing ALS data will make use of numerous auxiliary observations from the vast MOSAiC data sets, like ground-based terrestrial laser scanner surveys, transect snow and ice thickness data, airborne IR and photogrammetry surveys, and CryoSat-2 and IceSat-2 freeboard and roughness data as well as Sentinel 1 SAR imagery.

Requirements
  • Strong background in the processing of large observational data sets, ideally from airborne or satellite remote sensing
  • Experience with GPS and geodetic methods will be an advantage, as well as prior knowledge of sea ice research
  • Excellent programming skills (strong preference for python and IDL)
  • Good English language skills
  • Competitive publication record
  • PhD in a quantitative discipline of the Natural Sciences or Engineering

PostDoc on Airborne and Satellite Remote Sensing of melt ponds on sea ice
The position encompasses the processing, classification, and analysis of airborne and satellite data of the seasonal evolution and regional differences of melt pond coverage and geometry. The work will include the following tasks:
•    Processing of airborne imagery;
•    Analysis of melt pond coverage and geometry in relation to ice type and morphology, and their temporal and regional variability;
•    Improvement of MODIS retrieval algorithm with MOSAiC airborne data;
•    Development and validation of Arctic-wide melt pond coverage product covering the last decades based on improved MODIS or other optical/spectral satellite data;
•    Synthesis and collaboration in the frame of the overall MOSAiC science work;
•    Treatment of other topics related to melt ponds and MOSAiC if desired by the postdoctoral researcher;
•    Publication of datasets and scientific findings.
The analysis of airborne (helicopter and fixed-wing) and satellite melt pond data will make use of numerous auxiliary observations from the vast MOSAiC data sets, like in-situ ice and melt pond data and other airborne and satellite remote sensing products.

Requirements
  • Strong background in the processing of large observational data sets, ideally from airborne or satellite remote sensing
  • Experience with image classification and photogrammetry will be an advantage
  • Prior knowledge of sea ice and melt pond research will be an advantage
  • Excellent programming skills
  • Good English language skills
  • Competitive publication record
  • PhD in a quantitative discipline of the Natural Sciences or Engineering
-- 
Prof. Dr. Christian Haas
University of Bremen, Inst. for Environmental Physics (IUP)
Alfred Wegener Institute for Polar and Marine Research (AWI)
Klussmannstrasse 3d, D-27570 Bremerhaven, Germany
Tel: +49 471 4831 2285
Email: [hidden email]

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