IEK-8 - Troposphäre
Area of research:
Scientific / postdoctoral posts
Your Job:Model ensemble generation by sampling initial conditions, boundary values, as well as perturbed model formulations Improve and adapt the Stochastic Kinetic Energy Backscatter (SKEB) Scheme and the Stochastically Perturbed Parameterization Tendency (SPPT) Scheme Application and extension of Sequential Importance Filters and Smoothers for satellite imagery and resampling methods Implementation of neural network based ensemble calibration methods and reference methods, including several deep neural network (DNNs) architectures, e.g. CNNs, LSTM networks as well as combinations of them using the tensor library PyTorch
Your Profile:Doctoral degree in meteorology, computational physics, applied mathematics or a comparable discipline Profound knowledge in atmospheric physics, and a strong interest in international collaboration Besides strong technical and organizational skills, it is expected that the results of the research are presented in peer reviewed publications and at international conferences Proven experience in numerical modelling and parallel programming skills using state of the art software languages, such as FORTRAN 90 or C(++), is a requirement Experiences with big data analytics and deep learning methods is an advantage Sound command of English language is mandatory
Our Offer:International, interdisciplinary working environment on an attractive research campus, ideally situated between the cities of Cologne, Düsseldorf, and Aachen Working in an institute of one of the largest research institutions in Europe Strengthening the professional profile in the management of large projects Use of excellent scientific and technical infrastructure A comprehensive further training programme Participation in project meetings and international conferences Flexible working hours and various opportunities to reconcile work and family life Limited for 2 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 wants to increase female staff in this field. We are therefore particularly interested in the application of women.Applications of persons with disabilities are welcome.We also welcome applications from disabled persons.