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Title:  Python-based data-driven battery storage optimization (working student position or internship)

"With our final theses we were able to make an important contribution to the energy supply of the future. Change that is fun and motivating."

Tim Mau and Melissa Piskorsch, Product Manager and Software Developer / Former students at SMA

ENERGY THAT CHANGES: Innovative and sustainable key technologies are prerequisites for renewable energy supply. More than 3,000 employees from 18 countries work to ensure that SMA is actively helping to promote the production and development of PV system technology worldwide.

Would you like to play a part in shaping the energy supply of the future? Welcome to SMA.

be energy. Your energy can thrive with us. Respond to changes in an active, bold and targeted way.
#equalopportunities #developmentopportunities #getouttheauditorium

be flexible. Conditions can change, so our work schedule models offer you a solution.
#flexibleworkinghours #yourwaytoourdestination #fairpay

be family. A sense of community and camaraderie is important to us. Be a part of it and contribute to the corporate culture.
#informalculture #openfeedback #fairpay

For more information click here: https://www.SMA.de/en/career/

Python-based data-driven battery storage optimization (working student position or internship)

Category:  IT, Finance, Legal, Audit, Corp. Development, CREM
Location: 

Kassel, DE

SMA Sunbelt Energy GmbH is a 100% affiliated company of SMA Solar Technology AG. It was founded in 2014 and focuses on energy storage projects, off-grid and hybrid applications. SMA Sunbelt Energy GmbH concentrates its business on established and emerging European storage markets as well as Sunbelt regions (Africa, Central America and Caribbean, Middle East, South-East Asia and Pacific).

 

The position will support the development of a state-of-the-art and fully algorithmic modeling framework for optimal energy storage dispatch strategies applying optimization, data science, artificial intelligence and machine learning forecasting techniques.

 

Your contribution to the "big picture"

 

  • Simulation of algorithmic energy storage dispatch scheduling in selected electricity markets
  • Collaboration with commercial team to translate regulatory and electricity market design rules into optimization problem formulations and model logic
  • Estimation of energy storage relevant parameters (revenue, cycling rate, etc.) for input into business cases, financial models and scenario-specific evaluations of energy storage projects
  • Data gathering through APIs automated querying, data scrapping or other techniques and compilation of time series for relevant model inputs
     

 

Your skills are needed

 

  • Currently pursuing a major in Computer Science, Operations Research, Electrical Engineering, Physics Mathematics or a related technical field
  • Ideally good grasp of optimization modelling (linear, mixed-integer and/or stochastic), machine learning, data science and statistics
  • Coding experience with programming languages (Python, GAMS, Matlab) commonly used in data science and optimization and ideally experience with Pyomo or other optimization libraries or platforms
  • Interest in renewable energy and electricity markets
  • Comfortable handling large data sets
  • Quantitative, statistical and analytical skills
  • Great team player
  • Comfortable working cross-functionally across an organization

 

Your Checklist

 

  • You are a student * in an advanced Bachelor's or Master's degree
  • You would like to work as a working student or do an internship
  • Your start is possible in January/February 2021
  • You would like to spend at least 6 months with us
  • You would like to write your thesis afterwards with us, this is possible 
  • If everything fits, then apply with a cover letter, a current curriculum vitae, a current overview of the university's grades and, if applicable, any existing degree certificates or employment references.

 

#bethechange The Talent Campus is looking forward to receive your application!

Your contact is Kathrin Zweig | HR Business Partner

*SMA is committed to diversity and equal opportunity. Gender does not affect the application process.