Scientific Researcher for the SUSFECIT project

Big Science Sweden; Hamburg; Hybrid; EUR 50,000 - 70,000; Full time

Job summary

A leading research organization in Hamburg is seeking a Scientific Researcher for the SUSFECIT project. This role involves investigating energy and compute load profiles to enhance sustainability in scientific computing. Responsibilities include developing a digital twin simulation and drafting an implementation plan with partners. The successful candidate will also create educational tutorials for scientists. Ideal for those passionate about reducing environmental impacts in research computing.

Responsibilities

• Investigate, analyze and design energy and compute load profiles.
• Develop and test a digital twin simulation.
• Draft implementation plans with local users and partners.
• Create tutorials for awareness and education of scientists.

Job description

Scientific Researcher for the SUSFECIT project

Placering: DESY

Mer information

Scientific computing contributes significantly to the CO2 footprint created by research conducted in ErUM (Exploration of Universe and Matter). In order to advance the environmental sustainability in this area the SUSFECIT (Sustainable Federated Compute Infrastructures) research network has been proposed with the goal to contribute to developing a strategy and interlinked software ecosystems to reduce the CO2 footprint and to increase the energy efficiency of distributed computing resources. The basic idea is to exploit the dispatchability of compute jobs in space and time and use the partition of a federated computing infrastructure at a place, which at a certain time, is (dominantly) powered by renewable energies such as from wind turbines and solar power plants.

Together with project partners and stakeholders from a larger collaboration, the successful candidate will investigate, analyse and design energy and compute load profiles together with the scientific partners of the ErUM community. Additionally, development and testing of a digital twin (simulation) including the integration of additional research data centers of the partners and usage in a Germany-wide federated computing model needs to be done. In this context forecasting models need to be integrated and optimized for usage in this interlinked ecosystem. This should result in drafting of an implementation plan with local users and ErUM partners. Finally tutorials for the creation of awareness and education of scientists need to be created.