Operation engineer Jobs in Adelsdorf
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Operation engineer • adelsdorf
PhD Thesis - Application of foundational AI in the operation of energy systems
Siemens AGErlangen, Bayern, Alemania- Gesponsert
Installation Engineer
Spencer-OgdenErlangen, DESr. DDR PHY Design Engineer - Munich, Germany
microTECH Global LtdBayern, GermanySoftware Engineer III
Rocket SoftwareBavaria, GermanySCADA Engineer (m / w / d)
NES Global Deutschland GmbH / NES FircroftErlangen, Bavaria, Germany- Gesponsert
DevOps Engineer (m / w / d)
Grünbeck AGHöchstädtDevOps Engineer • Linux
inovex GmbHerlangen, DE- Gesponsert
Electrical Engineer (m / f / x)
HYDROGENIOUS LOHC TECHNOLOGIES GmbHErlangen, Deutschland- Gesponsert
DevOps Engineer / Konfigurationsmanager (m / w / d)
Sioux Technologies GmbHErlangen, DeutschlandIT Support Engineer
ISG International Service GroupBavariaHardware Engineer (m / w / d)
Alpha-Engineering KGErlangen, DeutschlandSenior Project Engineer (f / m / d) ATP-Systems
Siemens Mobility GmbHErlangen, Bayern, Alemania- Gesponsert
Field Application Engineer
SigenergyLower Bavaria, Bavaria, Germany- Gesponsert
OT Cybersecurity Engineer mfd
FluenceErlangen, Bavaria, GermanyTest Engineer-TOSCA, 100% En remoto
Axiom Software SolutionsBayern, GermanyApplication Operation / Managed Service Consultant (m / f / d)
CGIErlangen- Gesponsert
PhD Thesis - Application of foundational AI in the operation of energy systems
SiemensErlangen, Bavaria, GermanyOT Cyber Security Execution Expert (f / m / d)
Siemens EnergyBayern, Erlangen- Gesponsert
Hardware Test-Engineer mwd
Segula TechnologiesErlangen, Bavaria, GermanyRequirements Engineer (m / w / d)
asapp IT GmbHErlangen, Bavaria, GermanyPhD Thesis - Application of foundational AI in the operation of energy systems
Siemens AGErlangen, Bayern, AlemaniaMode of Employment : Limited; 20 hours / week
Develop what will be important tomorrow.
Do you like the sound of finding the smartest solution side by side with professionals and experts? If so, complete your PhD thesis with us. We can help you to combine knowledge, discover connections, and formulate ideas. When you join our team, you will gain an insight into a range of departments and processes. It is a chance like no other to break new ground as we head into the future of electrification, automation, and digitalization. Seize this opportunity today!
Change the future with us.
The increasing use of volatile renewable energies, electric vehicles, heat pumps and energy storages raises the complexity and uncertainty in the operation of our electrical infrastructure. This shift underscores the need for accurate and robust time-series forecasting, anomaly detection and system identification to effectively manage energy systems.
In this context, foundational models, including advanced AI techniques like Large Language Models (LLMs), are rapidly being adapted to enhance these critical tasks. These foundational models hold the potential to revolutionize the management of energy systems by providing deeper insights and improving operational accuracy without high engineering effort.
Exploration and identification of scenarios for utilizing these models is essential, involving a comprehensive evaluation of factors such as accuracy in relation to computational costs and energy consumption, compared to traditional machine learning or statistical methods. This analysis requires a keen analytical approach and a deep understanding of both contemporary and classical methodologies in energy system analysis, contributing to the advancement of future energy infrastructure management.
- You will research state of the art in foundational models and their application to energy systems
- You will develop and apply new models to existing tools
- Moreover, you will support the implementation of extensive benchmarking of models with realistic energy time series
- You will contribute to a publicly funded research project
- You take part in exciting research : From conceptualisation and software development to initial field tests
- In addition, you will ensure the protection of the work results through patent applications
Use your skills to move the world forward.
We’ve got quite a lot to offer. How about you?
if you wish to find out more about Siemens before applying.
As an equal-opportunity employer we are happy to consider .
sagthesis