Jobs of the Week: Software/Hardware Architects for Research Infrastructure at University of Southern Denmark

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The eScience Center at the University of Southern Denmark (SDU) is seeking Software/Hardware Architects for Research Infrastructure.

The eScience Center at the University of Southern Denmark (SDU), develops and operates large-scale e-Infrastructures dedicated to research in all fields, such as the Danish national supercomputing facility (DeIC National HPC centre, SDU). Our mission is to support research by the development and provision of advanced ICT infrastructure, services and expertise. We provide services and expertise in the areas of High Performance Computing, Cloud Services, Data Services and e-science. We support large research, educational and government institutions, as well as the business community. We address stimulating and interesting technological challenges, and offer a research-like environment where we encourage the study of innovative solutions. We firmly believe in open-source and web technology as means to reach our goals.

The eScience Center is now expanding its staff in all its core areas and expects to fill 6 or more positions with this call for experts in the following areas:

  • High Performance Computing (hardware and software)
  • Storage infrastructure
  • Cloud computing and storage architectures
  • Database systems
  • Big data analytics
  • Systems development
  • Full stack web development
  • Continuous development and integration
  • Linux system administration
  • Data management
  • Research user support

Experience in at least two of the above areas is required, and candidates with experience in more areas will be strongly preferred. For research user support, candidates with previous research experience in the fields of precision medicine or bioinformatics will be given preference. Research user support includes, but it is not limited to: provide specialist skills in High Performance Computing and big data analytics; porting existing code to new platforms or designing and developing new software from scratch; set up and tune data analysis workflows; assist researchers in all aspects of data management; develop and deliver tutorials and workshops.

Applications must be submitted electronically using the link “Apply online“. Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We recommend that you read how to apply before you apply.

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