There is an open PhD position at Delft University of Technology: “Quantification of meltwater storage in Greenland using a statistically-optimal estimation of mass anomalies with satellite
Faculty: Civil Engineering and Geosciences (CEG)
Duration of contract: 4 years
Hours per week: 36-40
Salary range: EUR 2770 to EUR 3539 per month gross
Nowadays, satellite gravimetry is one of the primary tools to study the mass re-distribution in different Earth’s system compartments, including ice sheets. The PhD candidate will be engaged in a further development of techniques for processing the data from satellite gravimetry missions, such as GRACE and GRACE Follow-On. It is proposed to directly invert the level-2 data product (monthly sets of spherical harmonic coefficients) into global sets of mass anomalies (the so-called “mascons”). Furthermore, the PhD candidate will focus on an extraction of the signal associated with meltwater accumulation within the Greenland Ice Sheet (GrIS). The successfully completed project will lead to better understanding the behaviour of the GrIS, its response to the foreseen climate changes, and its potential contribution to the future sea level rise.
The project will be executed at the Dept. of Geoscience and Remote Sensing at TU Delft (the Netherlands), in a collaboration with Dr. P. Ditmar, Dr. B. Wouters, prof. R. Klees, and other department members. Furthermore, there will be a close collaboration with prof. Michiel van den Broeke and other colleagues from Institute for Marine and Atmospheric research Utrecht
The PhD candidate must have a solid background in programming and math (particularly, in statistical theory and the theory of inverse problems). It will also be essential to have a good command of English language, as well as very good skills in oral and written communications. Additional assets are: Knowledge of physical geodesy (including the spherical harmonic expansion); familiarity with physical processes within an ice sheet; knowledge of FORTRAN language and parallel programming using the MPI library.
Are you interested in this vacancy? Please apply no later than on Sep. 17, 2023 via:
Please upload your: letter of motivation, detailed CV, list of grades/transcripts (bachelor and master), contact information of two references, and your master thesis (if already available). Please note that we will not process applications sent by email and/or post.
If you would like more information about the selection procedure, please contact email@example.com. For more information about the PhD project, please contact Dr. Pavel Ditmar (firstname.lastname@example.org). For more information about the Dept. of Geoscience and Remote Sensing, please visit:
Dr. Pavel Ditmar
Delft University of Technology
Faculty of Civil Engineering and Geosciences
Department of Geoscience and Remote Sensing