Postdoctoral fellow to develop Deep Learning Methods for the analysis and forecast of weather data

Forschungszentrum Jülich - FZJ - Helmholtz Association

Jülich, Germany

Work group:

JSC - Jülich Supercomputing Centre

Area of research:

Scientific / postdoctoral posts

Job description:

Your Job:

Develop new deep learning concepts to identify and use spatio-temporal patterns in weather data and implementation of these concepts on the supercomputer platforms of JSC Co-operate with DeepRain project partners to achieve improved local-scale predictions of precipitation over Germany Stay abreast of current trends in deep learning topics such as video frame prediction or action recognition Publish your results at leading international conferences and in peer-reviewed journals Support the team members to apply deep learning methods to their research questions and help in their training Assist in the project coordination and acquisition of new research projects subject to your abilities and interests

Your Profile:

Doctorate degree from a university with internationally accepted quality standards in computer science, software engineering, mathematics, or a related subject Practical experience with modern machine learning methods (CNN, LSTM, GAN, etc.), documented in your dissertation or peer-reviewed publications Ability and willingness to collaborate with the members of the research group and international colleagues Scientific curiosity towards the application of deep learning techniques to weather-related research questions Interested in the development of new deep learning methods and their practical implementation Experience in software development and programming languages such as Python, C++, or R Knowledge of the UNIX/Linux operating system Ability to present your work at international conferences Very good knowledge of English in written and spoken form

Our Offer:

Opportunity to work on interesting research questions with high societal relevance in an open and dedicated team Possibility to develop your academic career and engage in the supervision of master and doctoral students Excellent research and computing infrastructures in one of Europe’s largest research facilities Exciting working environment on an attractive research campus with excellent infrastructure, located between the cities of Cologne, Düsseldorf, and Aachen International and interdisciplinary working atmosphere A comprehensive further training programme Flexible working hours and various opportunities to reconcile work and private life Limited for 3 years with possible longer-term prospects Full-time position with the option of slightly reduced working hours Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD)

Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women.We also welcome applications from disabled persons.

Please apply via recruiter’s website.

Quote Reference: Helmholtz-2019-052