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Job advertisement PhDs and Postdoc: AI for Earth and Climate at BFH and TU Delft

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PhDs and Postdoc: AI for Earth and Climate at BFH and TU Delft

Position
PhDs and Postdoc: AI for Earth and Climate at BFH and TU Delft

Employer

BFH


Location
Switzerland

Sector
Academic

Relevant divisions
Atmospheric Sciences (AS)
Earth and Space Science Informatics (ESSI)
Energy, Resources and the Environment (ERE)

Type
Contract

Level
Experienced

Salary
54000 - 110000 € / Year

Preferred education
Master

Application deadline
Open until the position is filled

Posted
12 January 2025

Job description

PhDs and Postdoc: AI for Earth and Climate at BFH and TU Delft

We offer multiple PhD and postdoc positions in European research project UrbanAIR at the interface of machine learning, Earth observation and atmospheric sciences. We are looking for motivated and proactive doctoral and postdoc researchers interested in machine learning, Earth and Climate science, including remote sensing, explainable AI, generative and foundation models, hybrid and physics-based modelling.

Desired start date is spring 2024 (may be adjusted by mutual agreement). The PhD student salaries correspond to around 50’000 CHF or 54’000 € per year. The PhD positions are 4-year full-time positions and fully funded. The PhD students will be embedded at the Department of Geoscience and Remote Sensing at TU Delft, where the students are set to receive their PhD degrees. The postdoc positions are for one year initially with the possibility of extension. Hybrid work is possible.

Your profile:
MSc degree (or equivalent) in physics, computer science, atmospheric or geoscience, engineering, applied mathematics, or a related field
Experience in machine learning, deep learning, statistics, image processing, signal analysis
Interest in remote sensing and atmospheric modelling
Excellent analytical and quantitative skills, data analysis, scientific modelling and interpretation skills
Strong programming skills incl. Python
Good communication, writing and presentation skills will be advantageous
You are self-motivated and proactive, enjoy working with complex topics and thrive on challenges
You are committed to your project, enjoy collaborations and are a good team player

Your responsibilities:
Conduct research on topics related to this project
Publish your results in peer-reviewed international journals and at conferences
Collaborate with a team of international researchers
Organize project activities, engage in project meetings, report project work and results
You will have the opportunity to assist in teaching and co-supervise undergraduate students; as a postdoc researcher, you will have the opportunity to co-advise PhD students. (optional)

You will be embedded in the Energy and AI group at TU Delft and BFH. Our group focuses on understanding and predicting weather- and climate-related factors that affect renewable energy resources and ambient conditions. Our research contributes to advancing the transition to low-carbon energy systems.

Why work with us:
Engage in cutting-edge machine learning / AI to facilitate the energy transition and address pressing challenges related to climate change, societal and energy topics
Interdisciplinary research projects combining machine learning with Earth observation and atmospheric/climate research
Make use of high-performance supercomputing infrastructure
Opportunity to co-advise undergraduate students and PhD students (postdoc) and opportunity to lecture (optional)
A friendly, international, dynamic work place
Hybrid work is possible
We are committed to diversity
Competitive salary (approx. 54’000 € p.a. for PhD students and 106’000 € p.a. for postdoc researcher depending on experience)
Travel to conferences, collaboration and publication fees covered

Further information about the Horizon Europe project UrbanAIR can be found on https://www.urbanair-project.eu/. More information about our research and group can be found on https://www.angela-meyer.net/.

To apply, please submit your CV, BSc/MSc transcripts and theses, names and contact details of 3 references, your Github profile and publications (if any), your PhD thesis (postdocs only). Applications are reviewed on a rolling basis until the positions are filled.


How to apply

To apply, please submit your CV, BSc/MSc transcripts and theses, names and contact details of 3 references, your Github profile and publications (if any), and your PhD thesis (postdocs only) to email@angela-meyer.net.