Master Thesis: Causal Inference in Multivariate Time-Series Data for Energy Systems

Despre rol

Locaţia
Sweden
Oestergoetlands laen
Finspang
Companie
Siemens Energy AB
Organizație
EVP Global Functions
Unitate operațională
Digital Core
Normă întreagă/normă parțială
Cu normă completă
Nivel de experiență
Student (înainte de absolvire)


Master Thesis: Causal Inference in Multivariate Time-Series Data for Energy Systems

A Snapshot of Your Day

As a Master's Thesis student on our team, you will work on a valuable project to uncover cause-and-effect relationships in multivariate time series and interaction networks. Your daily tasks will include:

  • Applying statistical inference to high-dimensional operational data within the energy sector.
  • Collaborating with a passionate team dedicated to driving technological advancements for a balanced future.
  • Visualizing behavioural relationships and generating actionable insights to optimize energy systems.
  • Contributing to Siemens Energy's mission of accelerating the energy transition through innovative technology and strategic insights.


How You’ll Make an Impact

Apply brand new statistical inference techniques to decipher causal relationships from high-dimensional operational datasets in the energy sector.

  • Build sophisticated causality networks, providing a visual and analytical framework for understanding complex system interactions.
  • Engage in evidence-based analysis, using your findings to inform and optimize predictive maintenance and operational strategies.
  • Collaborate closely with industry professionals to validate your methods, ensuring they are grounded in real-world applicability and efficiency.
  • Contribute to the intelligence behind more balanced and reliable energy systems, playing a meaningful role in shaping the future of energy.


What You Bring

  •  Currently pursuing a master's degree in Machine Learning, Statistics, Computer Science, Data Science, or a related field, or possess equivalent experience.
  • Strong background in statistics, machine learning, and time-series analysis.
  • A passion for problem-solving and a drive to contribute to the advancement of balanced energy technologies.
  • The ability to work independently, coupled with the curiosity to explore complex data sets and uncover hidden patterns.
  • Strong written and verbal communication skills, with the ability to detail your work and present findings effectively.
  • An attitude of collaboration, enthusiastic about working in a diverse team and incorporating feedback from different collaborators.


About the Team 

You will get an opportunity to work with Application Platforms Business (APB) team, which is one of the teams in IT that is driving the End-to-end responsibility for all central applications and platforms 

  • Solution Architecture 
  • Service Management and Application Maintenance 
  • Operational Provider Management 
  • Digital Consulting  

Implementing all projects concerning central platforms. Orchestrating the governance structure of Business Partner Boards. You will get to know a global company in the forefront of new energy technology. During your time at Siemens Energy you will also get the opportunity to establish network for future cooperation. 


Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 99,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy:https://www.siemens-energy.com/employeevideo


Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.


Application

Don’t hesitate – apply via https://jobs.siemens-energy.com/en_US/jobs id nr 266221 no later than 2024-11-29.

Ongoing selection is applied, the role might be filled before last application date.


For questions about the role, please contact Shwetha Chandramouly on shwetha.chandramouly@siemens-energy.com

For questions about the recruitment process please contact the responsible recruiter Ermina Imamovic on ermina.imamovic.ext@siemens-energy.com


We refrain from all contact with staffing and recruitment companies, or advertising brokers.


Location: Finspång


Trade Union Representatives: 
Anders Häll, Unionen, +46122-887514 
Simon Von Eckardstein, Sveriges Ingenjörer, +46122-842 24 
Jan Lundgren, Ledarna, +46122-812 33 
Mikael Malmgren, IF Metall, +4676-6958685

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