Background
The Paleoclimate Dynamics section at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI) in Bremerhaven, Germany, invites applications for scientific programmer with experience in machine learning applications for the development and maintenance of a monthly to seasonal forecast system for the water resources and runoff in the Rhine catchment area.
The successful candidate will work in the Paleoclimate Dynamics Group together with a group of national and international scientists as part of a large project regarding the agile network control to increase the resilience of critical infrastructure water supply (aKtlv).
Tasks
You will be part of a team responsible for the development and maintenance of a (pre)operational forecasting system for the water resources in the Rhine River catchment area. Your main focus will be to test different machine learning algorithms (e.g. Artificial Neural Network, Support Vector Machine) in order to improve the skill of the hydrological forecast. Other tasks include to support the forecast model development and maintenance, as well as to have a direct interaction with the project partners and potential stakeholders and adapt the forecast model capabilities to their needs.
Requirements
Applicants must have a university degree (master/diploma) with very good final degree in mathematics, computer science, meteorology, oceanography or a related natural or geoscientific discipline with pronounced physical-mathematical components. In addition, experience in the use and / or development of machine learning applications for climate related issues and experience in the evaluation of climate and system model data and geophysical long-term observations are desirable. Demonstrated skill/proficiency in working with forecast products and fluency in English are further requirements. Knowledge regarding the physical geography of the central European rivers is considered an advantage.
Moreover, having several of the following skills would be distinct advantage:
- Experience with statistical methods characteristics to hydrology
- Experience with R, Matlab and/or Python
- Experience with complex large climate dataset and geophysical data formats (netCDF, GRIB)
- Proved knowledge (via scientific publications) in machine learning applications
Further Information
Please contact Dr. Monica Ionita(Monica.Ionita@awi.de; +49 471 4831 1845) for further information.
This is a full-time position, limited to 2.5 years. It is also suitable for part-time employment. The salary will be paid in accordance with the Collective Agreement for the Public Service of the Federation (Tarifvertrag des öffentlichen Dienstes, TVöD Bund), up to salary level 13. The place of employment will be Bremerhaven.
Postdocs have to register with AWI’s postdoc office PROCEED, thereby gaining access to a set of tailor-made career development tools.
The AWI is characterised by
- our scientific success – excellent research
- collaboration and cooperation – intra-institute, national and international, interdisciplinary
- opportunities to develop – on the job, aiming at other positions and beyond AWI
- a culture of reconciling work and family – an audited and well-supported aspect of our operation
- our outstanding research infrastructure – ships, stations, aircraft, laboratories and more
- an international environment – everyday contacts with people from all over the world
- having an influence – fundamental research with social and political relevance
- flat hierarchies – facilitating freedom and responsibility
- exciting science topics, with opportunities also in technology, administration and infrastructure
Equal opportunities are an integral part of our personnel policy. The AWI aims to increase the number of female employees and therefore strongly encourages qualified women to apply.
Disabled applicants will be given preference when equal qualifications are present.
The AWI fosters the compatibility of work and family in various ways and has received a number of awards as a result of this engagement.
We look forward to your application!
Please submit your application by January 5th 2022, exclusively online.
Reference number 22/183/D/Kli-b
Further information can be found here.