Research Assistants within the pre-project VEDA, moVE the DAta to balance the grid
The IFI Department at UiT is looking for 3 Research Assistants to work on preliminary research tasks within the pre-project VEDA “moVE the DAta to balance the grid”. These are 20% positions for 4 months with possibilities to extend them further, if the outcome and overall performance are positive and promising.
The pre-project received strategic funds from the ARC (Arctic Centre for Sustainable Energy) to reach preliminary subgoals that would lead to a full concept development by 2021.
The key research question is: how can we optimally schedule jobs between different datacentres (that may be located in different geographical zones and in different time zones), to balance the local grid?
Mathematical optimisation models and energy-aware runtime systems can be developed, in order to study the effects of datacentres flexibility within power systems and energy systems design, expansion and operations.
The pre-project is coordinated at the Department of Computer Science, UiT, but it has links with other departments at UiT that are part of the ARC, in particular social science, mathematics and physics.
The subgoals and tasks
- Put together a literature review that investigates the state-of-the art of mathematical optimisation and energy-aware runtime systems, applied to datacentres flexibility within power and energy systems.
- Identify potential industries that may be interested in being involved in the VEDA initiative.
- Further develop the overall concept in a way suitable for the submission of a full proposal within the Norwegian Research Council calls that will appear in 2021.
- Develop and test first basic prototypes:
- - Multihorizon stochastic optimisation models to address investment and operational optimisation on a power systems perspective, by considering flexibility from datacentres in different zones
- - Energy-aware runtime systems for job management within a datacentre and across datacentres
The ideal profiles for Research Assistants
Master level in Computer Science, or Applied Mathematics, or Power Systems Engineering, or related subjects.
Willingness to acquire new knowledge in fields and subjects that are not yet part of your background.
Willingness to work using an interdisciplinary approach that includes the main disciplines of Energy and Power Systems, Operations Research, Mathematical Modelling and Optimisation, Decisions Support Systems, Green Computing and Distributed Systems.
Contacts at IFI
Assoc. Prof. Chiara Bordin firstname.lastname@example.org
Prof Phuong Ha email@example.com
Prof Alexander Horsch firstname.lastname@example.org