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Student Assistant (m/f/d) - Static Charging Infrastructure
Job Description
Req ID:  5834
Place of work:  Jena
Starting date:  frühstmöglich
Career level:  Student employment, Student research project and final thesis
Type of employment:  Part time
Duration of contract:  6 Monate

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 12,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

At the Institute of Data Sciences in Jena, we are working to make the data backbone for all of DLR’s areas of application (aviation, space, energy, transport, security) a reality. To this end, we conduct interdisciplinary research and development into methods with a focus on applications such as sustainable and circular processes, resilient supply chains, data-driven value chains and robust decision support. The methods developed in this way are put into practice in cooperation with other DLR institutes and external partners, whether as part of joint projects or through technology transfer activities.

What to expect

The Power Forecast Mapper (PFM) is a digital forecasting tool that determines future charging demand for electric vehicles, identifies suitable locations for new charging points and assesses their revenue potential. As part of the PFM2market transfer project, the PFM prototype that has been developed is being further refined for commercial use.

Two student assistants are sought to map the existing charging infrastructure and its utilisation rates; the roles will have different areas of focus but will involve collaborative development. The focus here is on adapting existing methods and implementations to new data sources. One position involves the collection and processing of static data (e.g. location, configuration, accessibility), whilst the other involves the processing of dynamic data (utilisation metrics, see job advertisement 1234).

Applications as a team are expressly welcome: in this case, please apply individually for the respective position and state in your cover letter the name of the person with whom you are applying. Individual applications are, of course, also possible.

 

Your tasks

  • Adapting existing implementations to new data sources as part of the following tasks:
  • Acquiring and processing static information on charging infrastructure from various data sources
  • Contextualising charging station data, for example by linking it to cadastral data and OpenStreetMap products
  • Data cleansing and quality assurance
     

Your qualifications

  • Currently studying for a Master’s degree (M.Sc.) in Computer Science or a comparable subject
  • Very good knowledge of Python
  • Practical experience with databases, ETL pipelines, parallelisation or geodata libraries
  • Quick to grasp new concepts, with a goal-oriented and independent approach to work
  • Good written and spoken German and English

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

 

If you have any questions about this position (Vacancy-ID 5834) please contact:

 

Dr. Friederike Klan 
Tel.: +49 3641 30960 555 
Apply now