Jobs:Job-01103
From CSDMS
PhD position Scientific Machine Learning for Environmental Systems, DTU, Lyngby/Copenhagen, Denmark
Technical University of Denmark, , Denmark
Apply before: 29 January 2023
Apply before: 29 January 2023
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Posting:
Position: PhD position
Apply before: 29 January 2023
Apply online:
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We are looking for a bright and motivated PhD student that is interested in developing a new kind of hybrid simulation models for environmental systems that combine machine learning and classical modelling approaches (that are based on physical theory). You will work with different application domains (e.g. flooding, freshwater quality, air quality) and in the end our objective is to create models that are more accessible (fast enough to run e.g. in web environments) and that easily integrate physical knowledge and data.
The scholarship is part of DTUs Digitalization initiative and will involve collaboration with DTU Compute as well as internal and external partners. This is a fully funded full-time position for 3 years.
Please share with anyone that might be interested, and contact me (rolo@dtu.dk) for any additional of information. Deadline for application is January 29th. Please note that the only way to apply is through DTU's online system.
https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/1147/?utm_medium=jobshareOf interest for: Cyberinformatics and Numerics Working Group Artificial Intelligence & Machine Learning Initiative
