5 Postdoc Positions on AI for Earth & Climate
Disciplines:Atmospheric Sciences (AS)Biogeosciences (BG)Earth and Space Science Informatics (ESSI)
Type: Other
Level: Experienced
Open: Required education: PhD
Application Deadline: 6 September 2024
Posted On: 19 August 2024
We offer 5 postdoctoral positions attached to different European research projects in the intersection of machine learning and Earth and climate sciences.
We seek smart and proactive researchers with interests in:
Machine Learning (hybrid modeling, GPs, graph neural networks, foundation models, diffusion models, UQ, information theory)
Earth Sciences (remote sensing, upscaling, UQ, Gaussian processes, xAI)
Climate Sciences (ML-based parametrization, extreme events)
Additionally, the MeDiTwin project offers an interesting opportunity to develop your career around capacity building, management, and high-level teaching in ML for the Earth sciences.
Additional Info:
Deadline for applications (extended!): September 6th 2024
Interviews for short-listed candidates: September 10-20th 2024
Flexible starting dates: From October 2024 to March 2025 (negotiable, depending on the project)
All positions are for a duration of 2 years, extendable for an additional year based on mutual satisfaction and agreement.
Full time or part time, as well as working from abroad is negotiable, depending on the project.
Your Profile:
Experience in machine learning, deep learning, image processing, statistics, Bayesian inference
Interest in remote sensing, Earth sciences, climate science
Experience in scientific interpretation and analysis of data
Experience with or motivation to enter a leadership position
Familiarity with modelling, model-data-fusion, and machine learning
Excellent quantitative skills (e.g., data analysis, modelling)
Strong programming skills in Python/Julia/R
Proven record of scientific publications in international peer-reviewed journals
PhD in maths, physics, or computer science
Critical and organized sense for data analysis
Maturity and commitment
Strong communication, presentation, and writing skills are a plus
Collaborative team player
Responsibilities:
Lead research along the project-specific topics
Collaborate with an international team of researchers
Coadvise PhD students
Publish in international peer-reviewed journals and conference venues
Coordinate and report activities of the project, attend project meetings
Why ISP? Context and Offer:
The successful candidates will be based in the Universitat de València, Spain. Prof. Camps-Valls is the coordinator of the Image and Signal Processing (ISP) group. The group is devoted to the development of machine learning and signal processing techniques for remote sensing image processing, Earth observation data analysis, and the Geosciences.
Truly interdisciplinary projects: machine learning + climate/geo sciences + neuroscience + socio-economics
Work in cutting-edge machine learning to tackle relevant, challenging societal, environmental, and climate problems
Postdocs may supervise outstanding students and lecture in top EU master, possible yet not mandatory
Access to high-performance computing facilities and clusters
Part-time job and teleworking are generally acceptable
Flexibility to work on side projects with companies and international organizations
We care about diversity and gender issues!
Active group, engaged in vibrant AI networks
Friendly, interactive, and international working environment
Salary according to UV scales (38-45k gross depending on seniority) + health insurance + travel money. València has a convenient cost-of-living index = 55.
How to Apply:
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