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Smart Grid Researcher Job in Germany | KIT
Employer: Karlsruhe Institute of Technology (KIT)
Sector: Education and Research
Location: Eggenstein-Leopoldshafen, Baden-Württemberg, Germany; work also takes place in Karlsruhe
Open roles: 1
Employment information: Full-time, fixed term for three years
Karlsruhe Institute of Technology (KIT) has published an Academic Researcher position in Eggenstein-Leopoldshafen for work at the meeting point of smart grids, virtual power plants, machine learning and energy systems. The post is based at the Institute for Automation and Applied Informatics (IAI), with work also taking place in Karlsruhe. Its central question is practical as well as scientific: how can flexible facilities be coordinated when renewable generation, storage and demand introduce uncertainty into an electricity system?
The assignment suits a researcher who wants to move from a well-defined research question through model and algorithm development to simulation, experiments and scholarly communication. It calls for a completed master's degree in a relevant discipline, strong foundations in machine learning and statistics, and the ability to connect energy informatics with electrical-engineering knowledge. Rather than treating reinforcement learning as an isolated technical topic, the work applies it to coordination problems shaped by stochastic influences.
Opportunity Details
Research on coordinated flexibility in smart grids
From research gaps to simulation and physical testing
Variable generation from renewable sources must be coordinated with storage systems and flexible consumers. The official vacancy identifies the aggregation of controllable or flexible facilities in virtual power plants, intelligent districts and intelligent areas as an important way to reduce system complexity. The researcher will investigate new approaches to this coordination problem, with reinforcement learning and stochastic influences forming the stated focus.
The work moves across several research stages. It begins with studying smart grids, virtual power plants and the current state of the art, then identifying gaps worth addressing. Models and algorithms are to be designed and programmed, and the resulting solutions are to be implemented in computer simulations before testing progresses to actual hardware at the Energy Lab and the Campus North grid.
Experimental work is part of the vacancy rather than a separate downstream activity. The researcher will conduct experiments, analyse findings and derive new insights, then communicate results through academic journals and conferences. Assistance with teaching is also included. Alongside these activities, the employer states that there is an opportunity to pursue a Ph.D.
About the Employer: Karlsruhe Institute of Technology (KIT)
A university and research institution focused on application
Scientific work from insight to application-driven research
Karlsruhe Institute of Technology (KIT) describes itself as The University in the Helmholtz Association. Its official profile says that it brings scientific excellence together under one roof, spanning work from insight through to application-driven research. That stated orientation is closely reflected in a role that combines theoretical models and algorithms with simulation, hardware use and grid-based experiments.
According to its profile, KIT develops solutions in close partnership with society for urgent challenges. The listed areas include climate change, the energy transition and sustainable use of natural resources, as well as artificial intelligence, sovereignty and an aging population. The smart-grid post sits directly within the energy-transition strand of this published institutional remit.
The vacancy is assigned to the Institute for Automation and Applied Informatics (IAI). Its research brief links computational methods with energy-system questions: flexible resources, virtual power plants, uncertainty and coordinated operation. This gives the role a defined technical context without limiting the work to a single methodology, since the post also requires engagement with energy informatics, electrical engineering and probability-based reasoning.
Energy-transition questions in an interdisciplinary setting
Relevant institutional context for smart-grid research
KIT's stated aim of linking insight and application is visible in the facilities named for this position. Following computer-based implementation, the research solutions are intended for use with actual hardware at the Energy Lab and the Campus North grid. Results are then to be examined experimentally, interpreted and developed into further research insights.
The academic setting also includes publication and teaching activity. The researcher is expected to present results in journals and at conferences and to assist with teaching. For applicants who want to build doctoral work around the project, the vacancy expressly notes the possibility of pursuing a Ph.D. in addition to the research activities.
Open Positions
1. Academic Researcher in Computer Science, Mechanical Engineering, or Mathematics / Academic Researcher (f/m/d) in Computer Science, Mechanical Engineering, or Mathematics
Official title: Academic Researcher (f/m/d) in Computer Science, Mechanical Engineering, or Mathematics
Location: Eggenstein-Leopoldshafen, Germany; also Karlsruhe Employment information: Full-time, fixed term for three years
This is a research appointment concerned with the coordination of flexible facilities in electricity systems. The technical aim is to conceive, implement, evaluate and test new solutions for smart grids and virtual power plants. A successful candidate will work with both the uncertainty inherent in these systems and the potential of reinforcement learning to support coordination decisions.
The role is not limited to desk-based analysis. It requires programming, simulation and experimental activity using the Energy Lab's actual hardware and the Campus North grid. The work culminates in analysis, academic publication and conference communication, while also including support for teaching.
Responsibilities
- Research smart grids, virtual power plants and the current state of the art, identifying meaningful research gaps.
- Examine coordination challenges created by variable renewable electricity generation, storage systems and flexible consumers.
- Conceive new solutions for coordinating flexible or controllable facilities, with reinforcement learning and stochastic influences in view.
- Design models and algorithms appropriate to the research questions.
- Program the developed approaches and implement them in computer simulations.
- Use the Energy Lab's actual hardware and the Campus North grid after the simulation stage.
- Conduct experiments, analyse the outcomes and derive further insights from the results.
- Publish findings in academic journals and at conferences, and assist with teaching.
Qualifications
- Completed master's degree in computer science, mechanical engineering, mathematics, industrial engineering and management, or a comparable field of study.
- Excellent knowledge of machine learning and statistics.
- Solid expertise in energy informatics and electrical engineering.
- Strong understanding of stochastic processes and probability theory.
- Programming experience.
- Excellent written and spoken English.
- Strong teamwork and communication skills.
- A willingness to learn and a solution-oriented approach to work.
Skills and Competencies
- Machine-learning knowledge applied with sound statistical understanding.
- Ability to reason about stochastic processes and probability theory.
- Programming capability for models, algorithms and simulations.
- Energy-informatics expertise combined with electrical-engineering knowledge.
- Excellent written and spoken English for research collaboration and publication activity.
- Teamwork, communication, learning agility and solution-oriented working practices.
Benefits and Employment Information
- Full-time, fixed-term employment for three years at the Institute for Automation and Applied Informatics (IAI).
- EG 13 TV-L classification; the stated gross annual remuneration range is EUR 59,300 to 66,800, subject to personal and professional prerequisites.
- Structured onboarding, varied continuing-education options and individual development support.
- Flexible working-time arrangements, mobile work and 30 days of vacation.
- KIT-Family+ support, including child care, holiday programmes, a parent-child office and assistance with care for relatives.
- Health-related sports courses and mental-health offerings through the employer's wellbeing programme.
- Occupational pension provision, a monthly Jobticket BW subsidy, and cultural and leisure offerings.
Application Guidance
Show the connection between theory and system testing
Application preparation for a smart-grid research appointment
Because the vacancy centres on a defined coordination problem, explain how your earlier research equips you to work on it. Candidates may describe work involving machine learning, statistical methods, stochastic modelling, energy systems, electrical engineering or simulation, but should distinguish completed work from prospective interests. Where a project moved from a model to code, experiments or analysis, explain the contribution precisely and use terminology that a research reader can verify from the submitted materials.
Because the vacancy covers literature-based research, programming, hardware-related testing and publication, it is useful to organise evidence around these stages rather than provide a general technical inventory. A concise account of a research question, the method selected, the programming or simulation work undertaken, and what was learned from results can demonstrate relevance. English-language writing should be clear, as excellent written and spoken English is an explicit requirement of the position.
- List the completed master's degree and the relevant field of study clearly.
- Identify machine-learning, statistics and probability-theory coursework or research experience where applicable.
- Describe programming work on models, algorithms or simulations with a clear statement of personal contribution.
- Connect any energy-informatics or electrical-engineering experience to smart-grid or flexibility questions when it is relevant.
- Include research outputs or presentations that accurately demonstrate scholarly communication experience.
- Review the application for precise English and a coherent account of teamwork and communication.
How to Apply
Submit Your Application Through the Verified Route
Use the employer's official application form
KIT handles this research vacancy through its own online application system, which opens from the button below. The recorded route presents options to upload a CV so that information can be transferred into the form, or to complete the online form manually. Review all entered information before sending it.
Prepare materials that accurately support the stated degree, relevant technical knowledge, programming background and research experience. The vacancy specifies excellent written and spoken English for the role, while the application language itself is not stated in the published vacancy. Use the portal instructions for the materials and fields requested.
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