Launch week offerEnds in00h00m00s

annual Promonthly Pro

Mostafa Kiani

Has grant

Universität Wien

Austria

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Austria Professors in Climate Science Climate Science professors in Austria

Recent Grants

Grant: Open

Global-scale prediction of cryosphere/hydrosphere variations using machine learning

Open Date: 2025-01-01

Close Date: 2026-12-01

Grant: Close

Analysis of Earth rotation with physics-informed neural networks

Open Date: 2024-01-01

Close Date: 2024-07-01

Articles (22)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2023

Year:

2022

Year:

2022

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Collaborators (4)

Siddhartha Mishra

Full Professor

ETH Zürich

SWITZERLAND

View details

Benedikt Soja

Professor at ETH Zürich

ETH Zürich

SWITZERLAND

View details

Justyna Śliwińska

Assistant Professor

Space Research Centre of the Polish Academy of Sciences

POLAND

View details

Roland Martin Hohensinn

Research Scientist

Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Mostafa Kiani

Research Interests

Make your next move.

Explore related searches

Recent Grants

Articles (22)

Coupling True Polar Wander to Planetary Climates Using Nonlinear 2D Energy Balance Climate Models

The Influence of True Polar Wander on Habitability and Planetary Climates: A New Method

Decadal prediction of terrestrial water storage and sea-level change using physics-informed neural networks

Length of day variations caused by terrestrial water storage under climate change and direct human influence

Excitation of polar motion by terrestrial water storage: a reappraisal using the WaterGAP hydrological model

Climate‐Induced Length of Day Variations Since the Late Pliocene

Tree rings record hydroclimatic fluctuations in the length of day

A Method for Habitability Analysis of Planets with True Polar Wander

A Method for Quantifying Paleoenvironmental Impacts on Lunar Recession and the Moon’s Age

Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids

Evolution of Lunar Orbit under Climate Dynamics since the Last Glacial Cycle

Detection of a climate-induced increase in the lunar recession rate

Core-climate coupling: Changes in the Earth’s core dynamics driven by climatic processes

Climate‐Induced Polar Motion: 1900–2100

Ultra-short-term prediction of LOD using LSTM neural networks

Neural ODE Differential Learning and Its Application in Polar Motion Prediction

Inclusion of data uncertainty in machine learning and its application in geodetic data science, with case studies for the prediction of Earth orientation parameters and GNSS station coordinate time series

SPHEROIDAL SPLINE INTERPOLATION AND ITS APPLICATION IN GEODESY

Local geoid height approximation and interpolation using moving least squares approach

Simultaneous approximation of a function and its derivatives by Sobolev polynomials: Applications in satellite geodesy and precise orbit determination for LEO CubeSats

Template-based smoothing functions for data smoothing in Geodesy

Spherical approximating and interpolating moving least squares in geodesy and geophysics: A case study for deriving gravity acceleration at sea surface in the Persian Gulf

Collaborators (4)

Siddhartha Mishra

Benedikt Soja

Justyna Śliwińska

Roland Martin Hohensinn

Make your next move.