Post-DocApplications Closed
Constantine Dovrolis
Cyprus
Apply by Feb 15, 2024
Application deadline
Feb 15, 2024
Job
Job location
Constantine Dovrolis
Cyprus
Geocoding in progress.
Source: legacy
Quick Information
Application Deadline
Feb 15, 2024
Start Date
Flexible
Education Required
See description
Experience Level
Not specified
Job
Job location
Constantine Dovrolis
Job Description
The Cyprus Institute invites applications for a highly qualified and motivated individual to join the Institute as a Postdoctoral Research Fellow in Machine Learning and Data Science for Climate Science in CaSToRC. The successful candidate will apply Machine Learning for investigating key processes of the Earth System, including (but not limited to) the following: Extreme event (weather, temperature, precipitation, etc.) risk detection, Data-driven and hybrid modeling of the Earth system, Using machine learning to develop new parameterizations for climate models, Causal inference in the context of climate change, Machine learning in support to air quality modelling for exposure mapping, super-resolution, short-term forecasts and long-term projections. The candidate will be working primarily with Prof. Constantine Dovrolis, Prof. Theo Christoudias and Prof. Johannes Lelieveld. The appointment is for a period of 2 years, with the possibility of renewal subject to performance and the availability of funds.
Requirements
- PhD in computer science
- geosciences
- physics or a related field (such as computational science
- applied math or climate science) at the time of the appointment
- Publications in the areas of Artificial Intelligence and/or Machine Learning
- 3 year-experience (including PhD research)
- Understanding of fundamental concepts in climate science
- Proficient programming skills (preferably in Python) and experience with deep learning frameworks such as PyTorch
- Ability to work as part of an interdisciplinary team while showing initiative and independence
- Excellent knowledge of the English language (written and verbal). Preferred Qualifications: Experience with statistical methods for climate datasets
- Background in atmospheric dynamics
- climate modeling.
Job
Job location
Constantine Dovrolis
Coordinates pending.