E-2324 Postdoctoral Researcher in Data Driven
il y a 1 semaine
Are you passionate about research? So are we Come and join us:
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment, and IT.
By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.
You 'd like to contribute as research support contributor? Join our Environmental Research and Innovation department:
The Environmental Research and Innovation (ERIN) department, made up of 200 life science, environmental science and information technology researchers and engineers, provides the interdisciplinary knowledge, expertise and technologies to lead solutions including the major environmental challenges facing society, such as climate change mitigation, ecosystem resilience, sustainable energy systems, efficient use of renewable resources, and environmental pollution prevention and control.
The department relies on two cutting-edge platforms, the Biotechnologies and Environmental Analytics Platform and the Observatory for the Climate and the Environment, and the GreenTech Innovation Centre (GTIC): a one-stop-shop for the complete development of bio-based products and processes.
Responsibilities:
How will you contribute?:
You will join the recently established Intelligent and Clean Energy Systems (ICES) research unit and will be involved in its hardware-in-the-loop (HIL) simulation laboratory.
We are looking for our future colleague in data driven-based approaches for real time optimization and operation in distribution grids.
As post-doctoral researcher, you will work in the frame of LEAP project funded by the National Research Fund, which proposes an intelligent data-driven solution for optimizing and coordinating energy assets in future distributed grids at multiple spatiotemporal scales, i.e., new forms of Artificial Intelligence (AI) based operation and analysis tools that can leverage the RT big datasets associate with these systems.
LEAP will integrate into National Wide Digital Twin (NWDT) project at LIST and provide a set of cloud-edge based tools for enabling optimizing and coordinating the operation of distribution grids with DERs in RT under generic operating conditions.
You will work closely with other passionate researchers and industry partner in the project.Must Have Requirements
You hold a PhD degree in electrical power engineering or energy systems, ideally combined to 2 years research experience upon PhD graduation.
Additionally, you have good skills in deep reinforcement learning (Pytorch/Tensorflow), distribution grid modelling and optimization.On top of this you're fluent (written and oral) in English. You're the one we're looking for
We offer
Your LIST benefits:
- An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects;
- Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society;
- Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations such as our Viswall, highscale incubators and top of the range 3D/4D printings that are part of our toolkit for excelling in all we do;
- Multicultural and international work environment with more than 45 nationalities represented in our workforce;
- Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions;
- Genderfriendly environment with multiple actions to attract, develop and retain women in science;
- 32 days' paid annual leave, 11 public holidays, flexible working hours, 13month salary, statutory health insurance and access to lunch vouchers;
- Personalized learning programme to foster our staff's soft and technical skills;
- An environment encouraging curiosity, innovation, and entrepreneurship in all areas.
- A motivation letter oriented towards the position and detailing your experience;
- A scientific CV with contact details;
- List of publications (and patents, if applicable);
- Contact details of 2 references.
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