PhD Student AI Application Energy Management (f / m/d) | PhD students
Wolfsburg, DE
Description
The final doctoral topic is defined together with the professor. The prerequisite for cooperation is the confirmation of supervision and a confirmed definition of topics by the professor of a university or research institution entitled to award doctorates. Data Science, Trading, eMobility, Dissertation What we offer The gross monthly salary for this position, based on a 35-hour workweek and scaled according to the respective year of employment, is €3,030 (1st year), €3,194 (2nd year), and €3,497 (3rd year). In addition, there is a monthly allowance of €167 as well as a 49% share of the variable bonus. Contact person for this posting: Fabian Wenzel Data Science, Trading, eMobility, Dissertation
Company
Volkswagen AG
Contract
Fixed-term
Work environment
Are you passionate about shaping the future of the energy industry and combining your scientific curiosity with hands-on research? As a subsidiary of the Volkswagen Group, VW Kraftwerk GmbH is responsible for a wide range of energy and decarbonization solutions across the Group and develops innovative approaches for a sustainable, economical, and secure energy supply. The energy market is currently undergoing profound transformations: volatile electricity prices, increasing demands for forecasting accuracy, and the integration of new technologies such as battery storage and power-to-X systems present complex challenges for companies. At the same time, new flexibility opportunities are emerging through the growing electrification of mobility. As part of your doctoral research, you will work at the intersection of energy economics and artificial intelligence. Your goal will be to address these challenges using data-driven methods – including the development of AI-supported forecasting models for electricity prices, consumption, and generation; intelligent planning of storage and power-to-X systems; simulation of energy market scenarios; and evaluation of flexibility options in the field of e-mobility. You can expect a dynamic work environment with a high degree of personal responsibility, close collaboration with internal departments, and plenty of room for scientific development, creative thinking, and sustainable innovation. We look forward to receiving your application!
Department
IT and Digitalization
Shift
Full-time
Experience
PhD students
Qualification requirements
Good to very good university degree qualifying for doctoral studies in computer science, engineering, mathematics or a comparable field of study
Solid knowledge in data analysis, statistics and AI methods, especially machine learning and deep learning
Understanding of energy market structures and dynamics is desirable
Strong initiative, team orientation and a structured working style
English language level B2 and German language level C1
Possible Tasks within this Role
Analyzing and assessing the tangible value of AI applications in addressing current challenges in the energy sector
Designing and testing innovative AI approaches to solve complex energy-related problems
Identifying new fields of application for AI – from electricity price forecasting to evaluating flexibility in e-mobility
Developing a comprehensive concept for the strategic use of AI in energy-related processes
Taking ownership of practical digitalization and AI projects and supporting their integration into operational workflows
The following documents must be submitted with the application
Curriculum Vitae
Current transcript of records / Master’s or Diplom degree certificate