Student Assistant: Development of Python-based Energy Demand Modelling Tool

Reiner Lemoine Institut gGmbH


Reiner Lemoine Institute is an independent non-profit research institution that contributes to a transformation towards a sustainable energy supply based on 100 % renewable energy.

Our three research fields are Transformation of Energy Systems, Mobility with Renewable Energy, and Off-Grid Systems. We conduct applied research to scientifically support the long-term transition of the energy supply system towards renewable energy.

We are looking for a

Student Assistant (f/m/d)

to work on the subject

Development of Python-based Energy Demand Modelling Tool

within the Research Unit Off-Grid Systems.


In the Research Unit Off-Grid Systems, we focus on strategies for renewable-energy-based power supply in devel-oping and emerging regions. We apply open source methods and software, collaborate with our partners on equal terms and emphasize the sustainability of our research results.

We are offering a student position in context of the PeopleSuN project, which seeks to improve access to sustainable energy in rural Nigeria. In the project we develop planning tools for off-grid electricity supply systems. After conducting surveys on electricity demand in rural Nigerian communities we will develop a demand modelling tool that will create typical load profiles for different consumer types.

We envisage to build this tool upon the existing Python based open-source tool RAMP. We search for a motivated student assistant who will implement code adaptations in order to connect the RAMP tool to our database and to automate the demand modelling process.

Your tasks:

  • Familiarize yourself with the functionality of RAMP and the demand database
  • Add and adapt Python code to create an interface to the demand database
  • Add and adapt Python code to automate the load profile generation process
  • Support the Team with project related administrative tasks

What we offer:

  • A friendly and open work environment with a young team (RLI currently has about 100 employees, with 40 students)
  • A transparent and participatory organizational culture
  • Participation in an interdisciplinary, international research team
  • Academic support and supervision
  • Opportunity to gain initial experience in the field of applied renewable energy research
  • Flexible working hours and the possibility to work (partially) remotely, according to your needs
  • Office on the Science Campus Adlershof, excellent public transport access


  • Position to be filled as of 01.03.2022
  • Fixed-term contract for 6 months (extension possible)
  • Between 40 and 80 hours per month (according to your needs)
  • Wage 12.96 EUR/hour in accordance with TV Stud III
  • Option to write a bachelor’s / master’s thesis based on the research conducted in this position – please indicate in your application if you are interested


Kindly upload your application (cover letter, CV, transcript of records) in one single PDF file with the file name YourFirstname.YourLastname here:

We regret that we cannot consider applications that do not meet these criteria or are sent to us in other ways.

  • Questions regarding tasks and scope of the work are answered by Setu Pelz.
  • Your contact person for the application process is Marlene Buthenhoff.

RLI has signed the German Diversity Charter (Charta der Vielfalt). We welcome and value diversity in our institute and, in addition to our commitment to the energy transition, we actively advocate for the equality of all people. You and your application are welcome with us! Sex, gender identity, sexual orientation, nationality, ethnicity, religion, world view within the Liberal Democratic Basic Order, disability, or age do not play a role.

  • Candidates must be enrolled in a master’s degree program, preferably Renewable Energy, Energy Engineering, computer science or a related relevant field
  • Residence and right of abode in Germany and work presence in Berlin is required
  • Ability to code in Python
  • Familiarity working collaboratively in GitHub
  • Good English language skills are required (min B2)
  • Basic technical understanding of power systems
  • Familiarity with energy demand/load profiles is a plus
  • Interest and motivation to support the deployment of renewable energy worldwide
  • We expect successful candidates to work independently, systematically and thoroughly
  • Identification with the RLI Values
Reiner Lemoine Institut gGmbH
Rudower Chaussee 12
12489 Berlin
Marlene Buthenhoff
030 1208434-14
030 1208434-98
OffGrid_53_050122; PDF-Name: YourFirstname.YourLastname
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