Research Prime

RESEARCHER / DEVELOPER (M/F) »HIGH PERFORMANCE COMPUTING AND GEOPHYSICS

Organisation Name: FRAUNHOFER ITWM
Organisation Type:
City:
State:
Country:

Job Description:

The “Competence Center High Performance Computing has been conducting research in the field of seismic data processing and interpretation for oil&gas exploration and for offshore windpark building site investigation for many years. Numerous products have emerged from this work and have established themselves on the market. Colleagues from the fields of geophysics, physics, mathematics and computer science provide the comprehensive competence within the department to be able to offer complete packages, starting with the mathematical core, over the methodical algorithm, up to the robust, efficient and parallel software product. Join our successful team, develop innovative methods for interpreting and processing seismic data based on machine learning, but also on approaches of classical geophysics, and participate in the transfer of such methods into practice with our industrial partners. your tasks: They develop AI-supported methods for applications in the processing and interpretation of seismic data and apply the developed methods to seismic field data sets. They present research results in the context of project meetings and conferences. What we expect from you You are the right person for us if you have the ability to develop algorithms and methods and like to work with seismic data in an applied and customer-oriented way. By the application, you recognize the possibility of extending or developing algorithms and implement such innovations in a team. A university degree in geophysics with or without a PhD Interest in research and development in the fi elds of applied seismics and machine learning Good programming knowledge in C++ and/or Python Good knowledge of English Initiative, ability to work in a team and communication skills What you can expect from us The activity will take place in a creative multidisciplinary team. Through close cooperation with industrial customers you will receive direct feedback on your research. You will find an excellent IT-infrastructure with a hardware equipment, which is a prerequisite for working on application-relevant projects. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance-based variable remuneration components. In case of identical qualifications preference will be given to severely disabled candidates. We would like to point out that the chosen job title also includes the third gender. The Fraunhofer-Gesellschaft emphasises gender-independent professional equality. The Fraunhofer ITWM shows an extraordinary commitment to a family-friendly working environment for its employees: Flexible working hours and parental leave, a day-care center, the possibility of a home office, organization of health days and sports activities as well as a parent-child office make the Fraunhofer ITWM in Kaiserslautern an attractive employer. Fraunhofer is Europe’s largest application-oriented research organization. Our research efforts are geared entirely to people’s needs: health, security, communication, energy and the environment. As a result, the work undertaken by our researchers and developers has a significant impact on people’s lives. We are creative. We shape technology. We design products. We improve methods and techniques. We open up new vistas. Please apply online by 30 September 2020 at https://bit.ly/326pIsF We will be happy to answer any questions you may have about this position: Dr. Norman Ettrich Information about the institute can be found on the Internet at http://www.itwm.fraunhofer.de Fraunhofer-Institut für Techno- und Wirtschaftsmathematik Fraunhofer-Platz 1 67663 Kaiserslautern http://www.itwm.fraunhofer.de

Posting Date: Jul 26, 2021
Closing Date:
Organisation Website/Careers Page: https://recruiting.fraunhofer.de/Vacancies/54046/Description/2


Subscribe for receiving latest updates in Computational Sciences